From baa7b1c86e8fe081b19443e850f28abe176044b7 Mon Sep 17 00:00:00 2001
From: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Date: Thu, 4 Jul 2024 19:25:41 +0200
Subject: [PATCH 01/14] Fix workflow cache (#632)

* Copy workflow changes from PR #584

* Update whats_new.rst

* Remove "always deploy" used for testing

* Restore change to pytest instead of unittest

* Use mne data cache in tests too
---
 .github/workflows/docs.yml             | 133 +++++++++++++------------
 .github/workflows/test-braindecode.yml |  29 ++++--
 .github/workflows/test-devel.yml       |  25 +++--
 .github/workflows/test.yml             |  27 +++--
 docs/source/whats_new.rst              |   2 +-
 5 files changed, 125 insertions(+), 91 deletions(-)

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 8422f351c..1ab914d05 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -1,14 +1,18 @@
 name: Docs
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
   cancel-in-progress: true
 
+
 on:
   push:
-    branches: [master, develop]
+    branches: [ master, develop ]
   pull_request:
-    branches: [master, develop]
+    branches: [ master, develop ]
+permissions:
+  contents: write
+  pages: write
+  id-token: write
 
 jobs:
   build_docs:
@@ -16,8 +20,8 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        os: [ubuntu-latest]
-        python-version: ["3.9"]
+        os: [ ubuntu-latest ]
+        python-version: [ "3.9" ]
 
     steps:
       - uses: actions/checkout@v4
@@ -27,7 +31,7 @@ jobs:
           mkdir ~/mne_data
 
       - name: Setup Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
@@ -37,17 +41,31 @@ jobs:
           virtualenvs-create: true
           virtualenvs-in-project: true
 
-      - name: Cache datasets and docs
-        id: cached-dataset-docs
+      - name: Create/Restore MNE Data Cache
+        id: cache-mne_data
+        uses: actions/cache@v3
+        with:
+          path: ~/mne_data
+          key: ${{ runner.os }}-mne_data
+
+      - name: Cache docs build
+        id: cache-docs
         uses: actions/cache@v3
         with:
-          key: doc-${{ github.head_ref }}-${{ hashFiles('moabb/datasets/**') }}
-          path: |
-            ~/mne_data
-            docs/build
+          key: docs-build-${{ github.run_id }}-${{ github.run_attempt }}
+          path: docs/build
+
+      - name: Load cached venv
+        id: cached-poetry-dependencies
+        uses: actions/cache@v3
+        with:
+          path: .venv
+          key:
+            docsvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
+            hashFiles('**/poetry.lock') }}
 
       - name: Install dependencies
-        if: steps.cached-dataset-docs.outputs.cache-hit != 'true'
+        if: (steps.cached-poetry-dependencies.outputs.cache-hit != 'true')
         run: poetry install --no-interaction --no-root --with docs --extras deeplearning
 
       - name: Install library
@@ -63,37 +81,39 @@ jobs:
           name: DocumentationHTML
           path: docs/build/html/
 
-  deploy_docs:
-    if: ${{ github.ref == 'refs/heads/master' }}
+  deploy_neurotechx:
+    if: ${{ github.ref == 'refs/heads/develop' }}
     needs: build_docs
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest]
+        os: [ ubuntu-latest ]
 
     steps:
       - uses: actions/checkout@v4
 
-      - name: Create local data folder
-        run: |
-          mkdir ~/mne_data
-
-      - name: Cache datasets and docs
-        id: cached-dataset-docs
-        uses: actions/cache@v3
+      - name: Restore cached docs build
+        id: cache-docs
+        uses: actions/cache/restore@v3
         with:
-          key: doc-${{ github.head_ref }}-${{ hashFiles('moabb/datasets/**') }}
-          path: |
-            ~/mne_data
-            docs/build
+          key: docs-build-${{ github.run_id }}-${{ github.run_attempt }}
+          path: docs/build
 
-      - name: Checkout moabb.github.io
-        uses: actions/checkout@v4
+      - name: Check cache hit
+        if: steps.cache-docs.outputs.cache-hit != 'true'
+        run: exit 1
+
+      - name: Deploy Neurotechx Subpage
+        uses: peaceiris/actions-gh-pages@v4
         with:
-          repository: "NeuroTechX/moabb.github.io"
-          path: moabb-ghio
-          token: ${{ secrets.MOABB_GHIO }}
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          deploy_key: ${{ secrets.ACTIONS_DEPLOY_KEY }}
+          external_repository: NeuroTechX/moabb.github.io
+          destination_dir: docs/
+          publish_branch: master
+          publish_dir: ./docs/build/html
+          cname: moabb.neurotechx.com/
 
   deploy_gh_pages:
     if: ${{ github.ref == 'refs/heads/develop' }}
@@ -102,47 +122,28 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest]
+        os: [ ubuntu-latest ]
 
     steps:
       - uses: actions/checkout@v4
 
-      - name: Create local data folder
-        run: |
-          mkdir ~/mne_data
-
-      - name: Cache datasets and docs
-        id: cached-dataset-docs
-        uses: actions/cache@v3
+      - name: Restore cached docs build
+        id: cache-docs
+        uses: actions/cache/restore@v3
         with:
-          key: doc-${{ github.head_ref }}-${{ hashFiles('moabb/datasets/**') }}
-          path: |
-            ~/mne_data
-            docs/build
+          key: docs-build-${{ github.run_id }}-${{ github.run_attempt }}
+          path: docs/build
 
-      - name: Checkout gh pages
-        uses: actions/checkout@v4
-        with:
-          ref: gh-pages
-          path: moabb-ghpages
+      - name: Check cache hit
+        if: steps.cache-docs.outputs.cache-hit != 'true'
+        run: exit 1
 
-      - name: Deploy Neurotechx Subpage
-        uses: peaceiris/actions-gh-pages@v3
+      - name: Deploy gh-pages
+        uses: peaceiris/actions-gh-pages@v4
         with:
-          deploy_key: ${{ secrets.ACTIONS_DEPLOY_KEY }}
-          external_repository: NeuroTechX/moabb.github.io
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          deploy_key: ${{ secrets.MOABB_DEPLOY_KEY_NEW }}
           destination_dir: docs/
-          publish_branch: master
+          publish_branch: gh-pages
           publish_dir: ./docs/build/html
-          cname: moabb.neurotechx.com/
-
-      - name: Deploy on gh-pages
-        run: |
-          git config --global user.email "ci@neurotechx.com"
-          git config --global user.name "Github Actions"
-          cd ~/work/moabb/moabb/moabb-ghpages
-          rm -Rf docs
-          cp -a ~/work/moabb/moabb/docs/build/html ./docs
-          git add -A
-          git commit -m "GH Actions update of GH pages ($GITHUB_RUN_ID - $GITHUB_RUN_NUMBER)"
-          git push origin gh-pages
+          cname: neurotechx.github.io/moabb/
diff --git a/.github/workflows/test-braindecode.yml b/.github/workflows/test-braindecode.yml
index b9a175391..0371cf653 100644
--- a/.github/workflows/test-braindecode.yml
+++ b/.github/workflows/test-braindecode.yml
@@ -1,15 +1,13 @@
 name: Test-braindecode
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
   cancel-in-progress: true
 
-
 on:
   push:
-    branches: [develop]
+    branches: [ develop ]
   pull_request:
-    branches: [develop]
+    branches: [ develop ]
 
 jobs:
   test:
@@ -18,8 +16,8 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        os: [ubuntu-latest]
-        python-version: ["3.8"]
+        os: [ ubuntu-latest ]
+        python-version: [ "3.8" ]
     defaults:
       run:
         shell: bash
@@ -33,8 +31,21 @@ jobs:
           repository: braindecode/braindecode
           path: braindecode
 
+      - name: Create local data folder
+        if: runner.os != 'Windows'
+        run: |
+          mkdir ~/mne_data
+
+      - name: Create/Restore MNE Data Cache
+        if: runner.os != 'Windows'
+        id: cache-mne_data
+        uses: actions/cache@v3
+        with:
+          path: ~/mne_data
+          key: ${{ runner.os }}-mne_data
+
       - name: Setup Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
@@ -49,7 +60,7 @@ jobs:
         uses: actions/cache@v3
         with:
           path: ~/mne_data
-          key: ${{ runner.os }}-mne
+          key: ${{ runner.os }}-mne_data
 
       - name: Load cached venv
         if: runner.os != 'Windows'
@@ -58,7 +69,7 @@ jobs:
         with:
           path: .venv
           key:
-            testvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
+            testvenv-braindecode-${{ matrix.os }}-py${{matrix.python-version}}-${{
             hashFiles('**/poetry.lock') }}
 
       - name: Install dependencies
diff --git a/.github/workflows/test-devel.yml b/.github/workflows/test-devel.yml
index 3d1651933..a4c17b5d8 100644
--- a/.github/workflows/test-devel.yml
+++ b/.github/workflows/test-devel.yml
@@ -1,15 +1,13 @@
 name: Test-devel
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
   cancel-in-progress: true
 
-
 on:
   push:
-    branches: [develop]
+    branches: [ develop ]
   pull_request:
-    branches: [develop]
+    branches: [ develop ]
 
 jobs:
   test:
@@ -18,16 +16,29 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        os: [ubuntu-latest, windows-latest, macOS-latest]
-        python-version: ["3.9", "3.10"]
+        os: [ ubuntu-latest, windows-latest, macOS-latest ]
+        python-version: [ "3.9", "3.10" ]
     defaults:
       run:
         shell: bash
     steps:
       - uses: actions/checkout@v4
 
+      - name: Create local data folder
+        if: runner.os != 'Windows'
+        run: |
+          mkdir ~/mne_data
+
+      - name: Create/Restore MNE Data Cache
+        if: runner.os != 'Windows'
+        id: cache-mne_data
+        uses: actions/cache@v3
+        with:
+          path: ~/mne_data
+          key: ${{ runner.os }}-mne_data
+
       - name: Setup Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 32ea5ad83..772f851be 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,15 +1,13 @@
 name: Test
-
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
   cancel-in-progress: true
 
-
 on:
   push:
-    branches: [master]
+    branches: [ master ]
   pull_request:
-    branches: [master]
+    branches: [ master ]
 
 jobs:
   test:
@@ -18,16 +16,29 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        os: [ubuntu-latest, windows-latest, macOS-latest]
-        python-version: ["3.9"]
+        os: [ ubuntu-latest, windows-latest, macOS-latest ]
+        python-version: [ "3.9", "3.10" ]
     defaults:
       run:
         shell: bash
     steps:
       - uses: actions/checkout@v4
 
+      - name: Create local data folder
+        if: runner.os != 'Windows'
+        run: |
+          mkdir ~/mne_data
+
+      - name: Create/Restore MNE Data Cache
+        if: runner.os != 'Windows'
+        id: cache-mne_data
+        uses: actions/cache@v3
+        with:
+          path: ~/mne_data
+          key: ${{ runner.os }}-mne_data
+
       - name: Setup Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
@@ -44,7 +55,7 @@ jobs:
         with:
           path: .venv
           key:
-            venv-${{ matrix.os }}-py${{matrix.python-version}}-${{
+            testvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
             hashFiles('**/poetry.lock') }}
 
       - name: Install dependencies
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 16f3d6bfb..de0abe50a 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -21,7 +21,7 @@ Enhancements
 
 Bugs
 ~~~~
-- None
+- Fix caching in the workflows (:gh:`632` by `Pierre Guetschel`_)
 
 API changes
 ~~~~~~~~~~~

From 4742d1be0bae30026fa9fbf5c893d7eb2d423f81 Mon Sep 17 00:00:00 2001
From: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Date: Fri, 5 Jul 2024 12:37:36 +0200
Subject: [PATCH 02/14] Remove duplicate restore cache (#634)

---
 .github/workflows/test-braindecode.yml | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/.github/workflows/test-braindecode.yml b/.github/workflows/test-braindecode.yml
index 0371cf653..a6d89c121 100644
--- a/.github/workflows/test-braindecode.yml
+++ b/.github/workflows/test-braindecode.yml
@@ -55,13 +55,6 @@ jobs:
           virtualenvs-create: true
           virtualenvs-in-project: true
 
-      - name: Create/Restore MNE Data Cache
-        id: cache-mne_data
-        uses: actions/cache@v3
-        with:
-          path: ~/mne_data
-          key: ${{ runner.os }}-mne_data
-
       - name: Load cached venv
         if: runner.os != 'Windows'
         id: cached-poetry-dependencies

From 5795850822c033e77e4f3b450c64b1f0b7cfd75a Mon Sep 17 00:00:00 2001
From: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Date: Sat, 6 Jul 2024 12:46:08 +0200
Subject: [PATCH 03/14] Fix example Hinss2021 (#636)

---
 examples/plot_Hinss2021_classification.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/examples/plot_Hinss2021_classification.py b/examples/plot_Hinss2021_classification.py
index 76c15d730..a8d8d4506 100644
--- a/examples/plot_Hinss2021_classification.py
+++ b/examples/plot_Hinss2021_classification.py
@@ -43,6 +43,7 @@
 
 set_log_level("info")
 
+
 ##############################################################################
 # Create util transformer
 # ----------------------
@@ -103,12 +104,11 @@ def transform(self, X):
 
 # To reduce the computation time in the example, we will only use the
 # first two subjects.
-start_subject = 1
-stop_subject = 2
+n__subjects = 2
 title = "Datasets: "
 for dataset in datasets:
     title = title + " " + dataset.code
-    dataset.subject_list = dataset.subject_list[start_subject:stop_subject]
+    dataset.subject_list = dataset.subject_list[:n__subjects]
 
 ##############################################################################
 # Create Pipelines

From 11749d6c5260944f4cb6eb3e228660d2226fbeda Mon Sep 17 00:00:00 2001
From: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Date: Mon, 8 Jul 2024 21:34:46 +0200
Subject: [PATCH 04/14] Dataset summary in CSV and leaderboard links (#635)

* Add summary tables as csv

* Change BaseDataset to include the dataset's summary table in the docstring

* Try update summary table in doc

* Add test for dataset summary table

* Fix future annotations

* Prepare summary tables before doc

* Make build dir if not exist

* Add rstate table

* Replace tables with CSVs in doc

* Add PapersWithCOde column

* Fix initial white space

* Fix formatting of ints

* Remove tables from docstrings

* Add missing DemonsP300 row

* Update whats_new.rst

* Remove Shin2017B leaderboard

* Move PWC link outside of docstring table
---
 docs/Makefile                       |  1 +
 docs/prepare_summary_tables.py      | 34 +++++++++++
 docs/source/dataset_summary.rst     | 70 ++++------------------
 docs/source/whats_new.rst           |  2 +-
 moabb/datasets/Lee2019.py           | 27 ---------
 moabb/datasets/Weibo2014.py         |  9 ---
 moabb/datasets/Zhou2016.py          |  9 ---
 moabb/datasets/alex_mi.py           |  9 ---
 moabb/datasets/alphawaves.py        | 11 ----
 moabb/datasets/base.py              | 92 ++++++++++++++++++++++++++++-
 moabb/datasets/bbci_eeg_fnirs.py    | 18 ------
 moabb/datasets/bnci.py              | 71 ----------------------
 moabb/datasets/braininvaders.py     | 51 ----------------
 moabb/datasets/castillos2023.py     | 32 ----------
 moabb/datasets/epfl.py              |  9 ---
 moabb/datasets/gigadb.py            |  9 ---
 moabb/datasets/hinss2021.py         |  8 ---
 moabb/datasets/huebner_llp.py       | 18 ------
 moabb/datasets/mpi_mi.py            |  9 ---
 moabb/datasets/neiry.py             |  9 ---
 moabb/datasets/phmd_ml.py           |  9 ---
 moabb/datasets/physionet_mi.py      |  9 ---
 moabb/datasets/schirrmeister2017.py |  9 ---
 moabb/datasets/sosulski2019.py      |  9 ---
 moabb/datasets/ssvep_exo.py         |  9 ---
 moabb/datasets/ssvep_mamem.py       | 27 ---------
 moabb/datasets/ssvep_nakanishi.py   |  9 ---
 moabb/datasets/ssvep_wang.py        |  9 ---
 moabb/datasets/stieger2021.py       |  9 ---
 moabb/datasets/summary_cvep.csv     |  7 +++
 moabb/datasets/summary_imagery.csv  | 18 ++++++
 moabb/datasets/summary_p300.csv     | 17 ++++++
 moabb/datasets/summary_rstate.csv   |  4 ++
 moabb/datasets/summary_ssvep.csv    |  8 +++
 moabb/datasets/thielen2015.py       |  9 ---
 moabb/datasets/thielen2021.py       |  8 ---
 moabb/datasets/upper_limb.py        |  9 ---
 moabb/tests/datasets.py             | 29 ++++++++-
 38 files changed, 220 insertions(+), 486 deletions(-)
 create mode 100644 docs/prepare_summary_tables.py
 create mode 100644 moabb/datasets/summary_cvep.csv
 create mode 100644 moabb/datasets/summary_imagery.csv
 create mode 100644 moabb/datasets/summary_p300.csv
 create mode 100644 moabb/datasets/summary_rstate.csv
 create mode 100644 moabb/datasets/summary_ssvep.csv

diff --git a/docs/Makefile b/docs/Makefile
index 64fc30c07..78ff1405a 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -17,6 +17,7 @@ help:
 # Catch-all target: route all unknown targets to Sphinx using the new
 # "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
 %: Makefile
+	@python prepare_summary_tables.py ../moabb/datasets $(BUILDDIR)
 	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
 
 apidoc:
diff --git a/docs/prepare_summary_tables.py b/docs/prepare_summary_tables.py
new file mode 100644
index 000000000..8bc9ffba6
--- /dev/null
+++ b/docs/prepare_summary_tables.py
@@ -0,0 +1,34 @@
+import glob
+from argparse import ArgumentParser
+from pathlib import Path
+
+import pandas as pd
+
+
+def prepare_table(df: pd.DataFrame):
+    no_pwc = df["PapersWithCode leaderboard"].isna()
+    df.loc[no_pwc, "PapersWithCode leaderboard"] = "No"
+    df.loc[~no_pwc, "PapersWithCode leaderboard"] = df.loc[
+        ~no_pwc, "PapersWithCode leaderboard"
+    ].apply(lambda x: f"`Yes <{x}>`_")
+    df["Dataset"] = df["Dataset"].apply(lambda x: f":class:`{x}`")
+
+
+def main(source_dir: str, target_dir: str):
+    target_dir = Path(target_dir)
+    target_dir.mkdir(parents=True, exist_ok=True)
+    files = glob.glob(str(Path(source_dir) / "*.csv"))
+    for f in files:
+        target_file = target_dir / Path(f).name
+        print(f"Processing {f} -> {target_file}")
+        df = pd.read_csv(f, index_col=False, header=0, skipinitialspace=True)
+        prepare_table(df)
+        df.to_csv(target_file, index=False)
+
+
+if __name__ == "__main__":
+    parser = ArgumentParser()
+    parser.add_argument("source_dir", type=str)
+    parser.add_argument("target_dir", type=str)
+    args = parser.parse_args()
+    main(args.source_dir, args.target_dir)
diff --git a/docs/source/dataset_summary.rst b/docs/source/dataset_summary.rst
index 24a3ca229..8b2908573 100644
--- a/docs/source/dataset_summary.rst
+++ b/docs/source/dataset_summary.rst
@@ -22,66 +22,28 @@ Motor Imagery
 ======================
 
 .. csv-table::
-   :header: Dataset, #Subj, #Chan, #Classes, #Trials, Trial length, Freq, #Session, #Runs, Total_trials
+   :file: ../build/summary_imagery.csv
+   :header-rows: 1
    :class: sortable
 
-        :class:`AlexMI`,8,16,3,20,3s,512Hz,1,1,480
-        :class:`BNCI2014_001`,9,22,4,144,4s,250Hz,2,6,62208
-        :class:`BNCI2014_002`,14,15,2,80,5s,512Hz,1,8,17920
-        :class:`BNCI2014_004`,9,3,2,360,4.5s,250Hz,5,1,32400
-        :class:`BNCI2015_001`,12,13,2,200,5s,512Hz,3,1,14400
-        :class:`BNCI2015_004`,9,30,5,80,7s,256Hz,2,1,7200
-        :class:`Cho2017`,52,64,2,100,3s,512Hz,1,1,9800
-        :class:`Lee2019_MI`,54,62,2,100,4s,1000Hz,2,1,11000
-        :class:`GrosseWentrup2009`,10,128,2,150,7s,500Hz,1,1,3000
-        :class:`Schirrmeister2017`,14,128,4,120,4s,500Hz,1,2,13440
-        :class:`Ofner2017`,15,61,7,60,3s,512Hz,1,10,63000
-        :class:`PhysionetMI`,109,64,4,23,3s,160Hz,1,1,69760
-        :class:`Shin2017A`,29,30,2,30,10s,200Hz,3,1,5220
-        :class:`Shin2017B`,29,30,2,30,10s,200Hz,3,1,5220
-        :class:`Weibo2014`,10,60,7,80,4s,200Hz,1,1,5600
-        :class:`Zhou2016`,4,14,3,160,5s,250Hz,3,2,11496
-        :class:`Stieger2021`,62,64,4,450,3s,1000Hz,7 or 11,1,250000
 
 P300/ERP
 ======================
 
 .. csv-table::
-   :header: Dataset, #Subj, #Chan, #Trials / class, Trials length, Sampling rate, #Sessions
+   :file: ../build/summary_p300.csv
+   :header-rows: 1
    :class: sortable
 
-   :class:`BNCI2014_008`, 8, 8, 3500 NT / 700 T, 1s, 256Hz, 1
-   :class:`BNCI2014_009`, 10, 16, 1440 NT / 288 T, 0.8s, 256Hz, 3
-   :class:`BNCI2015_003`, 10, 8, 1500 NT / 300 T, 0.8s, 256Hz, 1
-   :class:`BI2012`, 25, 16, 640 NT / 128 T, 1s, 128Hz, 2
-   :class:`BI2013a`, 24, 16, 3200 NT / 640 T, 1s, 512Hz, 8 for subjects 1-7 else 1
-   :class:`BI2014a`, 64, 16, 990 NT / 198 T, 1s, 512Hz, up to 3
-   :class:`BI2014b`, 38, 32, 200 NT / 40 T, 1s, 512Hz, 3
-   :class:`BI2015a`, 43, 32, 4131 NT / 825 T, 1s, 512Hz, 3
-   :class:`BI2015b`, 44, 32, 2160 NT / 480 T, 1s, 512Hz, 1
-   :class:`Cattan2019_VR`, 21, 16, 600 NT / 120 T, 1s, 512Hz, 2
-   :class:`Huebner2017`, 13, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3
-   :class:`Huebner2018`, 12, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3
-   :class:`Sosulski2019`, 13, 31, 7500 NT / 1500 T, 1.2s, 1000Hz, 1
-   :class:`EPFLP300`, 8, 32, 2753 NT / 551 T, 1s, 2048Hz, 4
-   :class:`Lee2019_ERP`, 54, 62, 6900 NT / 1380 T, 1s, 1000Hz, 2
-
 
 SSVEP
 ======================
 
-
 .. csv-table::
-   :header: Dataset, #Subj, #Chan, #Classes, #Trials / class, Trials length, Sampling rate, #Sessions
+   :file: ../build/summary_ssvep.csv
+   :header-rows: 1
    :class: sortable
 
-   :class:`Lee2019_SSVEP`,54,62,4,50,4s,1000Hz,2
-   :class:`Kalunga2016`,12,8,4,16,2s,256Hz,1
-   :class:`MAMEM1`,10,256,5,12-15,3s,250Hz,1
-   :class:`MAMEM2`,10,256,5,20-30,3s,250Hz,1
-   :class:`MAMEM3`,10,14,4,20-30,3s,128Hz,1
-   :class:`Nakanishi2015`,9,8,12,15,4.15s,256Hz,1
-   :class:`Wang2016`,34,62,40,6,5s,250Hz,1
 
 c-VEP
 ======================
@@ -97,17 +59,10 @@ potentials (c-VEP): A literature review. Journal of Neural Engineering, 18(6), 0
 DOI: https://doi.org/10.1088/1741-2552/ac38cf
 
 .. csv-table::
-   :header: Dataset, #Subj, #Sessions, Sampling rate, #Chan, Trials length, #Trial classes, #Trials / class, #Epochs classes, #Epochs / class, Codes, Presentation rate
+   :file: ../build/summary_cvep.csv
+   :header-rows: 1
    :class: sortable
 
-   :class:`Thielen2015`,12,1,2048Hz,64,4.2s,36,3,2,27216 NT / 27216 T,Gold codes,120Hz
-   :class:`Thielen2021`,30,1,512Hz,8,31.5s,20,5,2,18900 NT / 18900 T,Gold codes,60Hz
-   :class:`CastillosCVEP100`,    12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz
-   :class:`CastillosCVEP40`,     12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz
-   :class:`CastillosBurstVEP40`, 12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz
-   :class:`CastillosBurstVEP100`,12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz
-
-
 Resting States
 ======================
 
@@ -116,12 +71,9 @@ For example, recoding the EEG of a subject while s/he is having the eye closed o
 is a resting state experiment.
 
 .. csv-table::
-   :header: Dataset, #Subj, #Chan, #Classes, #Blocks / class, Trials length, Sampling rate, #Sessions
-   :class: sortable
-
-   :class:`Cattan2019_PHMD`,12,16,2,10,60s,512Hz,1
-   :class:`Hinss2021`,15,62,4,1,2s,250Hz,1
-   :class:`Rodrigues2017`,20,16,2,5,10s,512Hz,1
+    :file: ../build/summary_rstate.csv
+    :header-rows: 1
+    :class: sortable
 
 Compound Datasets
 ======================
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index de0abe50a..17df90136 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -17,7 +17,7 @@ Develop branch
 
 Enhancements
 ~~~~~~~~~~~~
-- None
+- Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
 
 Bugs
 ~~~~
diff --git a/moabb/datasets/Lee2019.py b/moabb/datasets/Lee2019.py
index 5666a8a67..7edf9b931 100644
--- a/moabb/datasets/Lee2019.py
+++ b/moabb/datasets/Lee2019.py
@@ -220,15 +220,6 @@ def data_path(
 class Lee2019_MI(Lee2019):
     """BMI/OpenBMI dataset for MI.
 
-    .. admonition:: Dataset summary
-
-
-        ==========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name          #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ==========  =======  =======  ==========  =================  ============  ===============  ===========
-        Lee2019_MI       54       62           2                100  4s            1000Hz                     2
-        ==========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from Lee et al 2019 [1]_.
 
     **Dataset Description**
@@ -290,15 +281,6 @@ class Lee2019_MI(Lee2019):
 class Lee2019_ERP(Lee2019):
     """BMI/OpenBMI dataset for P300.
 
-    .. admonition:: Dataset summary
-
-
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Lee2019_ERP       54       62  6900 NT / 1380 T   1s               1000Hz                     2
-        ===========  =======  =======  =================  ===============  ===============  ===========
-
     Dataset from Lee et al 2019 [1]_.
 
     **Dataset Description**
@@ -380,15 +362,6 @@ class Lee2019_ERP(Lee2019):
 class Lee2019_SSVEP(Lee2019):
     """BMI/OpenBMI dataset for SSVEP.
 
-    .. admonition:: Dataset summary
-
-
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name             #Subj    #Chan    #Classes    #Trials / class  Trials length    Sampling rate      #Sessions
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-        Lee2019_SSVEP       54       62           4                 50  4s               1000Hz                     2
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-
     Dataset from Lee et al 2019 [1]_.
 
     **Dataset Description**
diff --git a/moabb/datasets/Weibo2014.py b/moabb/datasets/Weibo2014.py
index 8fedd0e35..14fa047b9 100644
--- a/moabb/datasets/Weibo2014.py
+++ b/moabb/datasets/Weibo2014.py
@@ -64,15 +64,6 @@ def get_subjects(sub_inds, sub_names, ind):
 class Weibo2014(BaseDataset):
     """Motor Imagery dataset from Weibo et al 2014.
 
-    .. admonition:: Dataset summary
-
-
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name         #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Weibo2014       10       60           7                 80  4s            200Hz                      1
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from the article *Evaluation of EEG oscillatory patterns and
     cognitive process during simple and compound limb motor imagery* [1]_.
 
diff --git a/moabb/datasets/Zhou2016.py b/moabb/datasets/Zhou2016.py
index 17ef79bfb..c4037cea9 100644
--- a/moabb/datasets/Zhou2016.py
+++ b/moabb/datasets/Zhou2016.py
@@ -50,15 +50,6 @@ def local_data_path(base_path, subject):
 class Zhou2016(BaseDataset):
     """Motor Imagery dataset from Zhou et al 2016.
 
-    .. admonition:: Dataset summary
-
-
-        ========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name        #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ========  =======  =======  ==========  =================  ============  ===============  ===========
-        Zhou2016        4       14           3                160  5s            250Hz                      3
-        ========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from the article *A Fully Automated Trial Selection Method for
     Optimization of Motor Imagery Based Brain-Computer Interface* [1]_.
     This dataset contains data recorded on 4 subjects performing 3 type of
diff --git a/moabb/datasets/alex_mi.py b/moabb/datasets/alex_mi.py
index 2f8f5279e..6e2ef7d75 100644
--- a/moabb/datasets/alex_mi.py
+++ b/moabb/datasets/alex_mi.py
@@ -12,15 +12,6 @@
 class AlexMI(BaseDataset):
     """Alex Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ======  =======  =======  ==========  =================  ============  ===============  ===========
-        Name      #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ======  =======  =======  ==========  =================  ============  ===============  ===========
-        AlexMI        8       16           3                 20  3s            512Hz                      1
-        ======  =======  =======  ==========  =================  ============  ===============  ===========
-
     Motor imagery dataset from the PhD dissertation of A. Barachant [1]_.
 
     This Dataset contains EEG recordings from 8 subjects, performing 2 task of
diff --git a/moabb/datasets/alphawaves.py b/moabb/datasets/alphawaves.py
index aa7f8fe39..f55b270e8 100644
--- a/moabb/datasets/alphawaves.py
+++ b/moabb/datasets/alphawaves.py
@@ -17,16 +17,6 @@
 class Rodrigues2017(BaseDataset):
     """Alphawaves dataset
 
-    .. admonition:: Dataset summary
-
-
-        =============== ======= ======= ========== =============== ============ =============== ===========
-        Name            #Subj   #Chan   #Classes   #Blocks/class   Trials len   Sampling rate   #Sessions
-        =============== ======= ======= ========== =============== ============ =============== ===========
-        Rodrigues2017   20      16      2          5               10s          512Hz           1
-        =============== ======= ======= ========== =============== ============ =============== ===========
-
-
     Dataset containing EEG recordings of subjects in a simple
     resting-state eyes open/closed experimental protocol. Data were recorded
     during a pilot experiment taking place in the GIPSA-lab, Grenoble,
@@ -139,7 +129,6 @@ def _get_single_subject_data(self, subject):
     def data_path(
         self, subject, path=None, force_update=False, update_path=None, verbose=None
     ):
-
         if subject not in self.subject_list:
             raise (ValueError("Invalid subject number"))
 
diff --git a/moabb/datasets/base.py b/moabb/datasets/base.py
index 1fcfb0b5c..0d4672482 100644
--- a/moabb/datasets/base.py
+++ b/moabb/datasets/base.py
@@ -1,5 +1,7 @@
 """Base class for a dataset."""
 
+from __future__ import annotations
+
 import abc
 import logging
 import re
@@ -9,6 +11,7 @@
 from pathlib import Path
 from typing import Dict, Union
 
+import pandas as pd
 from sklearn.pipeline import Pipeline
 
 from moabb.datasets.bids_interface import StepType, _interface_map
@@ -18,6 +21,36 @@
 log = logging.getLogger(__name__)
 
 
+def get_summary_table(paradigm: str, dir_name: str | None = None):
+    if dir_name is None:
+        dir_name = Path(__file__).parent
+    path = Path(dir_name) / f"summary_{paradigm}.csv"
+    df = pd.read_csv(
+        path,
+        header=0,
+        index_col="Dataset",
+        skipinitialspace=True,
+        dtype={"PapersWithCode leaderboard": str},
+    )
+    return df
+
+
+_summary_table_imagery = get_summary_table("imagery")
+_summary_table_p300 = get_summary_table("p300")
+_summary_table_ssvep = get_summary_table("ssvep")
+_summary_table_cvep = get_summary_table("cvep")
+_summary_table_rstate = get_summary_table("rstate")
+_summary_table = pd.concat(
+    [
+        _summary_table_imagery,
+        _summary_table_p300,
+        _summary_table_ssvep,
+        _summary_table_cvep,
+        _summary_table_rstate,
+    ],
+)
+
+
 @dataclass
 class CacheConfig:
     """
@@ -178,7 +211,64 @@ def check_run_names(data):
                 )
 
 
-class BaseDataset(metaclass=abc.ABCMeta):
+def format_row(row: pd.Series):
+    pwc_key = "PapersWithCode leaderboard"
+    tab_prefix = " " * 8
+    tab_sep = "="
+    row = row[~row.isna()]
+    pwc_link = row.get(pwc_key, None)
+    if pwc_link is not None:
+        row = row.drop(pwc_key)
+    col_names = [str(col) for col in row.index]
+
+    def to_int(x):
+        try:
+            i = int(x)
+            if i == x:
+                return i
+            return x
+        except ValueError:
+            return x
+
+    values = [str(to_int(val)) for val in row.values]
+    widths = [max(len(col), len(val)) for col, val in zip(col_names, values)]
+    row_sep = " ".join([tab_sep * width for width in widths])
+    cols_row = " ".join([col.rjust(width) for col, width in zip(col_names, widths)])
+    values_row = " ".join([val.rjust(width) for val, width in zip(values, widths)])
+    out = (
+        "    .. admonition:: Dataset summary\n\n"
+        f"{tab_prefix}{row_sep}\n"
+        f"{tab_prefix}{cols_row}\n"
+        f"{tab_prefix}{row_sep}\n"
+        f"{tab_prefix}{values_row}\n"
+        f"{tab_prefix}{row_sep}"
+    )
+    if pwc_link is not None:
+        out = f"    **{pwc_key}:** {pwc_link}\n\n" + out
+    return out
+
+
+class MetaclassDataset(abc.ABCMeta):
+    def __new__(cls, name, bases, attrs):
+        doc = attrs.get("__doc__", "")
+        try:
+            row = _summary_table.loc[name]
+            row_str = format_row(row)
+            doc_list = doc.split("\n\n")
+            if len(doc_list) >= 2:
+                doc_list = [doc_list[0], row_str] + doc_list[1:]
+            else:
+                doc_list.append(row_str)
+            attrs["__doc__"] = "\n\n".join(doc_list)
+        except KeyError:
+            log.debug(
+                f"No description found for dataset {name}. "
+                f"Complete the appropriate moabb/datasets/summary_*.csv file"
+            )
+        return super().__new__(cls, name, bases, attrs)
+
+
+class BaseDataset(metaclass=MetaclassDataset):
     """Abstract Moabb BaseDataset.
 
     Parameters required for all datasets
diff --git a/moabb/datasets/bbci_eeg_fnirs.py b/moabb/datasets/bbci_eeg_fnirs.py
index ff86ab74a..32fd7f1cf 100644
--- a/moabb/datasets/bbci_eeg_fnirs.py
+++ b/moabb/datasets/bbci_eeg_fnirs.py
@@ -192,15 +192,6 @@ def data_path(
 class Shin2017A(BaseShin2017):
     """Motor Imagey Dataset from Shin et al 2017.
 
-    .. admonition:: Dataset summary
-
-
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name         #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Shin2017A       29       30           2                 30  10s           200Hz                      3
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from [1]_.
 
 
@@ -315,15 +306,6 @@ def __init__(self, accept=False):
 class Shin2017B(BaseShin2017):
     """Mental Arithmetic Dataset from Shin et al 2017.
 
-    .. admonition:: Dataset summary
-
-
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name         #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Shin2017B       29       30           2                 30  10s           200Hz                      3
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from [1]_.
 
     .. caution::
diff --git a/moabb/datasets/bnci.py b/moabb/datasets/bnci.py
index 1f42197d2..0cef42910 100644
--- a/moabb/datasets/bnci.py
+++ b/moabb/datasets/bnci.py
@@ -756,15 +756,6 @@ def data_path(
 class BNCI2014_001(MNEBNCI):
     """BNCI 2014-001 Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        BNCI2014_001       9       22           4                144  4s            250Hz                      2
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset IIa from BCI Competition 4 [1]_.
 
     **Dataset Description**
@@ -820,15 +811,6 @@ def __init__(self):
 class BNCI2014_002(MNEBNCI):
     """BNCI 2014-002 Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        BNCI2014_002       14       15           2                 80  5s            512Hz                      1
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-
     Motor Imagery Dataset from [1]_.
 
     **Dataset description**
@@ -882,15 +864,6 @@ def __init__(self):
 class BNCI2014_004(MNEBNCI):
     """BNCI 2014-004 Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        BNCI2014_004       9        3           2                360  4.5s          250Hz                      5
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset B from BCI Competition 2008.
 
     **Dataset description**
@@ -965,15 +938,6 @@ def __init__(self):
 class BNCI2014_008(MNEBNCI):
     """BNCI 2014-008 P300 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ============  =======  =======  =================  ===============  ===============  ===========
-        BNCI2014_008        8        8  3500 NT / 700 T    1s               256Hz                      1
-        ============  =======  =======  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     **Dataset description**
@@ -1036,15 +1000,6 @@ def __init__(self):
 class BNCI2014_009(MNEBNCI):
     """BNCI 2014-009 P300 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ============  =======  =======  =================  ===============  ===============  ===========
-        BNCI2014_009       10       16  1440 NT / 288 T    0.8s             256Hz                      3
-        ============  =======  =======  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     **Dataset description**
@@ -1098,15 +1053,6 @@ def __init__(self):
 class BNCI2015_001(MNEBNCI):
     """BNCI 2015-001 Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        BNCI2015_001       12       13           2                200  5s            512Hz                      2
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from [1]_.
 
     **Dataset description**
@@ -1154,14 +1100,6 @@ def __init__(self):
 class BNCI2015_003(MNEBNCI):
     """BNCI 2015-003 P300 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ============  =======  =======  =================  ===============  ===============  ===========
-        BNCI2015_003       10        8  1500 NT / 300 T    0.8s             256Hz                      1
-        ============  =======  =======  =================  ===============  ===============  ===========
 
     Dataset from [1]_.
 
@@ -1197,15 +1135,6 @@ def __init__(self):
 class BNCI2015_004(MNEBNCI):
     """BNCI 2015-004 Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-        BNCI2015_004       9       30           5                 80  7s            256Hz                      2
-        ============  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from [1]_.
 
     **Dataset description**
diff --git a/moabb/datasets/braininvaders.py b/moabb/datasets/braininvaders.py
index f5b5ffb9f..7d851f215 100644
--- a/moabb/datasets/braininvaders.py
+++ b/moabb/datasets/braininvaders.py
@@ -416,13 +416,6 @@ def _bi_data_path(  # noqa: C901
 class BI2012(BaseDataset):
     """P300 dataset BI2012 from a "Brain Invaders" experiment.
 
-    .. admonition:: Dataset summary
-        ================ ======= ======= ================ =============== =============== ===========
-         Name             #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ================ ======= ======= ================ =============== =============== ===========
-         BI2012           25      16      640 NT / 128 T       1s              128Hz          2
-        ================ ======= ======= ================ =============== =============== ===========
-
     Dataset following the setup from [1]_ carried-out at University of
     Grenoble Alpes.
 
@@ -483,15 +476,6 @@ def data_path(
 class BI2013a(BaseDataset):
     """P300 dataset BI2013a from a "Brain Invaders" experiment.
 
-    .. admonition:: Dataset summary
-
-
-        =======  =======  =======  =================  ===============  ===============  =================
-        Name       #Subj    #Chan  #Trials / class    Trials length    Sampling rate    #Sessions
-        =======  =======  =======  =================  ===============  ===============  =================
-        BI2013a       24       16  3200 NT / 640 T    1s               512Hz            (1-7)8 s|(8-24)1s
-        =======  =======  =======  =================  ===============  ===============  =================
-
     Dataset following the setup from [1]_ carried-out at University of
     Grenoble Alpes.
 
@@ -586,13 +570,6 @@ def data_path(
 class BI2014a(BaseDataset):
     """P300 dataset BI2014a from a "Brain Invaders" experiment.
 
-    .. admonition:: Dataset summary
-        ================ ======= ======= ================ =============== =============== ===========
-         Name             #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ================ ======= ======= ================ =============== =============== ===========
-         BI2014a           64      16        5 NT x 1 T         1s              512Hz       up to 3
-        ================ ======= ======= ================ =============== =============== ===========
-
     This dataset contains electroencephalographic (EEG) recordings of 71 subjects
     playing to a visual P300 Brain-Computer Interface (BCI) videogame named Brain Invaders.
     The interface uses the oddball paradigm on a grid of 36 symbols (1 Target, 35 Non-Target)
@@ -645,13 +622,6 @@ def data_path(
 class BI2014b(BaseDataset):
     """P300 dataset BI2014b from a "Brain Invaders" experiment.
 
-    .. admonition:: Dataset summary
-        ================ ======= ======= ================ =============== =============== ===========
-         Name             #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ================ ======= ======= ================ =============== =============== ===========
-         BI2014b           38      32        5 NT x 1 T         1s              512Hz           3
-        ================ ======= ======= ================ =============== =============== ===========
-
     This dataset contains electroencephalographic (EEG) recordings of 38 subjects playing in
     pair (19 pairs) to the multi-user version of a visual P300-based Brain-Computer Interface (BCI)
     named Brain Invaders. The interface uses the oddball paradigm on a grid of 36 symbols (1 Target,
@@ -705,13 +675,6 @@ def data_path(
 class BI2015a(BaseDataset):
     """P300 dataset BI2015a from a "Brain Invaders" experiment.
 
-    .. admonition:: Dataset summary
-        ================ ======= ======= ================ =============== =============== ===========
-         Name             #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ================ ======= ======= ================ =============== =============== ===========
-         BI2015a           43      32        5 NT x 1 T         1s              512Hz           3
-        ================ ======= ======= ================ =============== =============== ===========
-
     This dataset contains electroencephalographic (EEG) recordings
     of 43 subjects playing to a visual P300 Brain-Computer Interface (BCI)
     videogame named Brain Invaders. The interface uses the oddball paradigm
@@ -766,13 +729,6 @@ def data_path(
 class BI2015b(BaseDataset):
     """P300 dataset BI2015b from a "Brain Invaders" experiment.
 
-       .. admonition:: Dataset summary
-        ================ ======= ======= ================ =============== =============== ===========
-         Name             #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ================ ======= ======= ================ =============== =============== ===========
-         BI2015b           44      32        5 NT x 1 T         1s              512Hz           1
-        ================ ======= ======= ================ =============== =============== ===========
-
     This dataset contains electroencephalographic (EEG) recordings
     of 44 subjects playing in pair to the multi-user version of a visual
     P300 Brain-Computer Interface (BCI) named Brain Invaders. The interface
@@ -830,13 +786,6 @@ def data_path(
 class Cattan2019_VR(BaseDataset):
     """Dataset of an EEG-based BCI experiment in Virtual Reality using P300.
 
-    .. admonition:: Dataset summary
-        ============== ======= ======= ================ =============== =============== ===========
-         Name           #Subj   #Chan   #Trials/class    Trials length   Sampling Rate   #Sessions
-        ============== ======= ======= ================ =============== =============== ===========
-         Cattan2019_VR   21      16      600 NT / 120 T   1s              512Hz           2
-        ============== ======= ======= ================ =============== =============== ===========
-
     We describe the experimental procedures for a dataset that we have made publicly
     available at https://doi.org/10.5281/zenodo.2605204 in mat (Mathworks, Natick, USA)
     and csv formats [1]_. This dataset contains electroencephalographic recordings on 21
diff --git a/moabb/datasets/castillos2023.py b/moabb/datasets/castillos2023.py
index 2f077c4e2..9e2108ab4 100644
--- a/moabb/datasets/castillos2023.py
+++ b/moabb/datasets/castillos2023.py
@@ -293,14 +293,6 @@ class CastillosBurstVEP100(BaseCastillos2023):
 
     Dataset [1]_ from the study on burst-VEP [2]_.
 
-    .. admonition:: Dataset summary
-
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        CastillosBurstVEP100  12        1          500Hz      32        2.2s            4        15/15/15/15       2            5820NT/1200T   Burst-CVEP      60Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-
     **Dataset description**
 
     Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded
@@ -355,14 +347,6 @@ class CastillosBurstVEP40(BaseCastillos2023):
 
     Dataset [1]_ from the study on burst-VEP [2]_.
 
-    .. admonition:: Dataset summary
-
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        CastillosBurstVEP40   12        1          500Hz      32        2.2s            4        15/15/15/15       2            5820NT/1200T   Burst-CVEP            60Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-
     **Dataset description**
 
     Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded
@@ -417,15 +401,6 @@ class CastillosCVEP100(BaseCastillos2023):
 
     Dataset [1]_ from the study on burst-VEP [2]_.
 
-    .. admonition:: Dataset summary
-
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        CastillosCVEP100      12        1          500Hz      32        2.2s            4        15/15/15/15       2            3525NT/3495T   m-sequence    60Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-
-
     **Dataset description**
 
     Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded
@@ -480,13 +455,6 @@ class CastillosCVEP40(BaseCastillos2023):
 
     Dataset [1]_ from the study on burst-VEP [2]_.
 
-    .. admonition:: Dataset summary
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-        CastillosCVEP40       12        1          500Hz      32        2.2s            4        15/15/15/15       2            3525NT/3495T   m-sequence          60Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== =============== ========== =================
-
     **Dataset description**
 
     Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded
diff --git a/moabb/datasets/epfl.py b/moabb/datasets/epfl.py
index 2f190ba9d..68d6d726f 100644
--- a/moabb/datasets/epfl.py
+++ b/moabb/datasets/epfl.py
@@ -18,15 +18,6 @@
 class EPFLP300(BaseDataset):
     """P300 dataset from Hoffmann et al 2008.
 
-    .. admonition:: Dataset summary
-
-
-        ========  =======  =======  =================  ===============  ===============  ===========
-        Name        #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ========  =======  =======  =================  ===============  ===============  ===========
-        EPFLP300        8       32  2753 NT / 551 T    1s               2048Hz                     4
-        ========  =======  =======  =================  ===============  ===============  ===========
-
     Dataset from the paper [1]_.
 
     **Dataset Description**
diff --git a/moabb/datasets/gigadb.py b/moabb/datasets/gigadb.py
index dada960da..e3624f21c 100644
--- a/moabb/datasets/gigadb.py
+++ b/moabb/datasets/gigadb.py
@@ -19,15 +19,6 @@
 class Cho2017(BaseDataset):
     """Motor Imagery dataset from Cho et al 2017.
 
-    .. admonition:: Dataset summary
-
-
-        =======  =======  =======  ==========  =================  ============  ===============  ===========
-        Name       #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =======  =======  =======  ==========  =================  ============  ===============  ===========
-        Cho2017       52       64           2                100  3s            512Hz                      1
-        =======  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from the paper [1]_.
 
     **Dataset Description**
diff --git a/moabb/datasets/hinss2021.py b/moabb/datasets/hinss2021.py
index a21608e63..f5c97e202 100644
--- a/moabb/datasets/hinss2021.py
+++ b/moabb/datasets/hinss2021.py
@@ -17,14 +17,6 @@
 class Hinss2021(BaseDataset):
     """Neuroergonomic 2021 dataset.
 
-    .. admonition:: Dataset summary
-
-     =========== ======= ======= ========== =============== ============ =============== ===========
-        Name      #Subj   #Chan   #Classes   #Blocks/class   Trials len   Sampling rate   #Sessions
-     =========== ======= ======= ========== =============== ============ =============== ===========
-      Hinss2021    15      62        4             1             2s           250Hz           2
-     =========== ======= ======= ========== =============== ============ =============== ===========
-
     We describe the experimental procedures for a dataset that is publicly available
     at https://zenodo.org/records/5055046.
     This dataset contains electroencephalographic recordings of 15 subjects (6 female, with an
diff --git a/moabb/datasets/huebner_llp.py b/moabb/datasets/huebner_llp.py
index a75d51e86..1e00abd43 100644
--- a/moabb/datasets/huebner_llp.py
+++ b/moabb/datasets/huebner_llp.py
@@ -117,15 +117,6 @@ class Huebner2017(_BaseVisualMatrixSpellerDataset):
     """Learning from label proportions for a visual matrix speller (ERP)
     dataset from Hübner et al 2017 [1]_.
 
-    .. admonition:: Dataset summary
-
-
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Huebner2017       13       31  364 NT / 112 T     0.9s             1000Hz                     3
-        ===========  =======  =======  =================  ===============  ===============  ===========
-
     **Dataset description**
 
     The subjects were asked to spell the sentence: “Franzy jagt im komplett verwahrlosten Taxi quer durch Freiburg”.
@@ -184,15 +175,6 @@ class Huebner2018(_BaseVisualMatrixSpellerDataset):
     """Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
     Hübner et al 2018 [1]_.
 
-    .. admonition:: Dataset summary
-
-
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ===========  =======  =======  =================  ===============  ===============  ===========
-        Huebner2018       12       31  364 NT / 112 T     0.9s             1000Hz                     3
-        ===========  =======  =======  =================  ===============  ===============  ===========
-
     **Dataset description**
 
     Within a single session, a subject was asked to spell the beginning of a sentence in each of three blocks.The text
diff --git a/moabb/datasets/mpi_mi.py b/moabb/datasets/mpi_mi.py
index 5a89fb635..06e8bd366 100644
--- a/moabb/datasets/mpi_mi.py
+++ b/moabb/datasets/mpi_mi.py
@@ -15,15 +15,6 @@
 class GrosseWentrup2009(BaseDataset):
     """Munich Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-        Name                 #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-        GrosseWentrup2009       10      128           2                150  7s            500Hz                      1
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-
     Motor imagery dataset from Grosse-Wentrup et al. 2009 [1]_.
 
     A trial started with the central display of a white fixation cross. After 3
diff --git a/moabb/datasets/neiry.py b/moabb/datasets/neiry.py
index 79640c2c9..edc96cbc8 100644
--- a/moabb/datasets/neiry.py
+++ b/moabb/datasets/neiry.py
@@ -15,15 +15,6 @@ class DemonsP300(BaseDataset):
     """Visual P300 dataset recorded in Virtual Reality (VR) game Raccoons
     versus Demons.
 
-    .. admonition:: Dataset summary
-
-
-        ==========  =======  =======  =================  ===============  ===============  ===========
-        Name          #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        ==========  =======  =======  =================  ===============  ===============  ===========
-        DemonsP300       60        8  935 NT / 50 T      1s               500Hz                      1
-        ==========  =======  =======  =================  ===============  ===============  ===========
-
     .. danger::
 
        This dataset contains major unresolved issues and could removed in the near futur. Use it in a benchmark
diff --git a/moabb/datasets/phmd_ml.py b/moabb/datasets/phmd_ml.py
index 8076f94e8..e066965af 100644
--- a/moabb/datasets/phmd_ml.py
+++ b/moabb/datasets/phmd_ml.py
@@ -17,15 +17,6 @@
 class Cattan2019_PHMD(BaseDataset):
     """Passive Head Mounted Display with Music Listening dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ==============  =======  =======  ==========  =================  ============  ===============  ===========
-        Name              #Subj    #Chan    #Classes    #Blocks/class     Trials len    Sampling rate    #Sessions
-        =============== =======  =======  ==========  =================  ============  ===============  ===========
-        Cattan2019_PHMD      12       16           2                 10   60s            512Hz                   1
-        =============== =======  =======  ==========  =================  ============  ===============  ===========
-
     We describe the experimental procedures for a dataset that we have made publicly available
     at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats.
     This dataset contains electroencephalographic recordings of 12 subjects listening to music
diff --git a/moabb/datasets/physionet_mi.py b/moabb/datasets/physionet_mi.py
index 1f2f977a3..3367c9cf3 100644
--- a/moabb/datasets/physionet_mi.py
+++ b/moabb/datasets/physionet_mi.py
@@ -14,15 +14,6 @@
 class PhysionetMI(BaseDataset):
     """Physionet Motor Imagery dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ===========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        ===========  =======  =======  ==========  =================  ============  ===============  ===========
-        PhysionetMI      109       64           4                 23  3s            160Hz                      1
-        ===========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Physionet MI dataset: https://physionet.org/pn4/eegmmidb/
 
     This data set consists of over 1500 one- and two-minute EEG recordings,
diff --git a/moabb/datasets/schirrmeister2017.py b/moabb/datasets/schirrmeister2017.py
index 6a652e4fa..2f5ceff88 100644
--- a/moabb/datasets/schirrmeister2017.py
+++ b/moabb/datasets/schirrmeister2017.py
@@ -17,15 +17,6 @@
 class Schirrmeister2017(BaseDataset):
     """High-gamma dataset described in Schirrmeister et al. 2017.
 
-    .. admonition:: Dataset summary
-
-
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-        Name                 #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-        Schirrmeister2017       14      128           4                120  4s            500Hz                      1
-        =================  =======  =======  ==========  =================  ============  ===============  ===========
-
     Dataset from [1]_
 
     Our “High-Gamma Dataset” is a 128-electrode dataset (of which we later only use
diff --git a/moabb/datasets/sosulski2019.py b/moabb/datasets/sosulski2019.py
index 75666561a..ade789445 100644
--- a/moabb/datasets/sosulski2019.py
+++ b/moabb/datasets/sosulski2019.py
@@ -19,15 +19,6 @@ class Sosulski2019(BaseDataset):
 
     Dataset [1]_, study on spatial transfer between SOAs [2]_, actual paradigm / online optimization [3]_.
 
-    .. admonition:: Dataset summary
-
-
-        =============  =======  =======  =================  ===============  ===============  ===========
-        Name             #Subj    #Chan  #Trials / class    Trials length    Sampling rate      #Sessions
-        =============  =======  =======  =================  ===============  ===============  ===========
-        Sosulski2019       13       31   7500 NT / 1500 T        1.2s        1000Hz                     1
-        =============  =======  =======  =================  ===============  ===============  ===========
-
     **Dataset description**
     This dataset contains multiple small trials of an auditory oddball paradigm. The paradigm presented two different
     sinusoidal tones. A low-pitched (500 Hz, 40 ms duration) non-target tone and a high-pitched (1000 Hz,
diff --git a/moabb/datasets/ssvep_exo.py b/moabb/datasets/ssvep_exo.py
index a63718bde..7df04fc1e 100644
--- a/moabb/datasets/ssvep_exo.py
+++ b/moabb/datasets/ssvep_exo.py
@@ -15,15 +15,6 @@
 class Kalunga2016(BaseDataset):
     """SSVEP Exo dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ===========  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name           #Subj    #Chan    #Classes    #Trials / class  Trials length    Sampling rate      #Sessions
-        ===========  =======  =======  ==========  =================  ===============  ===============  ===========
-        Kalunga2016       12        8           4                 16  2s               256Hz                      1
-        ===========  =======  =======  ==========  =================  ===============  ===============  ===========
-
     SSVEP dataset from E. Kalunga PhD in University of Versailles [1]_.
 
     The datasets contains recording from 12 male and female subjects aged
diff --git a/moabb/datasets/ssvep_mamem.py b/moabb/datasets/ssvep_mamem.py
index 5c8412412..7a7cec0a5 100644
--- a/moabb/datasets/ssvep_mamem.py
+++ b/moabb/datasets/ssvep_mamem.py
@@ -170,15 +170,6 @@ def data_path(
 class MAMEM1(BaseMAMEM):
     """SSVEP MAMEM 1 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name      #Subj    #Chan    #Classes  #Trials / class    Trials length    Sampling rate      #Sessions
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        MAMEM1       10      256           5  12-15              3s               250Hz                      1
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     EEG signals with 256 channels captured from 11 subjects executing a
@@ -290,15 +281,6 @@ def __init__(self):
 class MAMEM2(BaseMAMEM):
     """SSVEP MAMEM 2 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name      #Subj    #Chan    #Classes  #Trials / class    Trials length    Sampling rate      #Sessions
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        MAMEM2       10      256           5  20-30              3s               250Hz                      1
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     EEG signals with 256 channels captured from 11 subjects executing a
@@ -383,15 +365,6 @@ def __init__(self):
 class MAMEM3(BaseMAMEM):
     """SSVEP MAMEM 3 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name      #Subj    #Chan    #Classes  #Trials / class    Trials length    Sampling rate      #Sessions
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-        MAMEM3       10       14           4  20-30              3s               128Hz                      1
-        ======  =======  =======  ==========  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     EEG signals with 14 channels captured from 11 subjects executing a
diff --git a/moabb/datasets/ssvep_nakanishi.py b/moabb/datasets/ssvep_nakanishi.py
index 415368d3a..89d8d0dbc 100644
--- a/moabb/datasets/ssvep_nakanishi.py
+++ b/moabb/datasets/ssvep_nakanishi.py
@@ -20,15 +20,6 @@
 class Nakanishi2015(BaseDataset):
     """SSVEP Nakanishi 2015 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name             #Subj    #Chan    #Classes    #Trials / class  Trials length    Sampling rate      #Sessions
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-        Nakanishi2015        9        8          12                 15  4.15s            256Hz                      1
-        =============  =======  =======  ==========  =================  ===============  ===============  ===========
-
     This dataset contains 12-class joint frequency-phase modulated steady-state
     visual evoked potentials (SSVEPs) acquired from 10 subjects used to
     estimate an online performance of brain-computer interface (BCI) in the
diff --git a/moabb/datasets/ssvep_wang.py b/moabb/datasets/ssvep_wang.py
index ea7af02a5..e1b7111ba 100644
--- a/moabb/datasets/ssvep_wang.py
+++ b/moabb/datasets/ssvep_wang.py
@@ -24,15 +24,6 @@
 class Wang2016(BaseDataset):
     """SSVEP Wang 2016 dataset.
 
-    .. admonition:: Dataset summary
-
-
-        ========  =======  =======  ==========  =================  ===============  ===============  ===========
-        Name        #Subj    #Chan    #Classes    #Trials / class  Trials length    Sampling rate      #Sessions
-        ========  =======  =======  ==========  =================  ===============  ===============  ===========
-        Wang2016       34       62          40                  6  5s               250Hz                      1
-        ========  =======  =======  ==========  =================  ===============  ===============  ===========
-
     Dataset from [1]_.
 
     This dataset gathered SSVEP-BCI recordings of 35 healthy subjects (17
diff --git a/moabb/datasets/stieger2021.py b/moabb/datasets/stieger2021.py
index 3d11e29c7..ae9305857 100644
--- a/moabb/datasets/stieger2021.py
+++ b/moabb/datasets/stieger2021.py
@@ -24,15 +24,6 @@
 class Stieger2021(BaseDataset):
     """Motor Imagery dataset from Stieger et al. 2021.
 
-    .. admonition:: Dataset summary
-
-
-        ============= ======= ======= ========== ================= ============ =============== ===========
-        Name          #Subj   #Chan   #Classes   #Trials / class   Trials len   Sampling rate   #Sessions
-        ============= ======= ======= ========== ================= ============ =============== ===========
-        Stieger2021   62      64      4          450               3s           1000Hz          10
-        ============= ======= ======= ========== ================= ============ =============== ===========
-
     The main goals of our original study were to characterize how individuals
     learn to control SMR-BCIs and to test whether this learning can be improved
     through behavioral interventions such as mindfulness training. Participants
diff --git a/moabb/datasets/summary_cvep.csv b/moabb/datasets/summary_cvep.csv
new file mode 100644
index 000000000..18d8bee4b
--- /dev/null
+++ b/moabb/datasets/summary_cvep.csv
@@ -0,0 +1,7 @@
+Dataset, #Subj, #Sessions, Sampling rate, #Chan, Trials length, #Trial classes, #Trials / class, #Epochs classes, #Epochs / class, Codes, Presentation rate, PapersWithCode leaderboard
+Thielen2015,12,1,2048Hz,64,4.2s,36,3,2,27216 NT / 27216 T,Gold codes,120Hz,
+Thielen2021,30,1,512Hz,8,31.5s,20,5,2,18900 NT / 18900 T,Gold codes,60Hz,
+CastillosCVEP100,    12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
+CastillosCVEP40,     12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
+CastillosBurstVEP40, 12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,
+CastillosBurstVEP100,12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,
diff --git a/moabb/datasets/summary_imagery.csv b/moabb/datasets/summary_imagery.csv
new file mode 100644
index 000000000..90c6ea79f
--- /dev/null
+++ b/moabb/datasets/summary_imagery.csv
@@ -0,0 +1,18 @@
+Dataset, #Subj, #Chan, #Classes, #Trials, Trial length, Freq, #Session, #Runs, Total_trials, PapersWithCode leaderboard
+AlexMI,8,16,3,20,3s,512Hz,1,1,480,https://paperswithcode.com/dataset/alexandremotorimagery-moabb
+BNCI2014_001,9,22,4,144,4s,250Hz,2,6,62208,https://paperswithcode.com/dataset/bnci2014-001-moabb-1
+BNCI2014_002,14,15,2,80,5s,512Hz,1,8,17920,https://paperswithcode.com/dataset/bnci2014-002-moabb-1
+BNCI2014_004,9,3,2,360,4.5s,250Hz,5,1,32400,https://paperswithcode.com/dataset/bnci2014-004-moabb-1
+BNCI2015_001,12,13,2,200,5s,512Hz,3,1,14400,https://paperswithcode.com/dataset/bnci2015-001-moabb-1
+BNCI2015_004,9,30,5,80,7s,256Hz,2,1,7200,https://paperswithcode.com/dataset/bnci2015-004-moabb-1
+Cho2017,52,64,2,100,3s,512Hz,1,1,9800,https://paperswithcode.com/dataset/cho2017-moabb
+Lee2019_MI,54,62,2,100,4s,1000Hz,2,1,11000,https://paperswithcode.com/dataset/lee2019-mi-moabb-1
+GrosseWentrup2009,10,128,2,150,7s,500Hz,1,1,3000,https://paperswithcode.com/dataset/grossewentrup2009-moabb
+Schirrmeister2017,14,128,4,120,4s,500Hz,1,2,13440,https://paperswithcode.com/dataset/schirrmeister2017-moabb
+Ofner2017,15,61,7,60,3s,512Hz,1,10,63000,
+PhysionetMI,109,64,4,23,3s,160Hz,1,1,69760,https://paperswithcode.com/dataset/physionetmotorimagery-moabb
+Shin2017A,29,30,2,30,10s,200Hz,3,1,5220,https://paperswithcode.com/dataset/shin2017a-moabb
+Shin2017B,29,30,2,30,10s,200Hz,3,1,5220,
+Weibo2014,10,60,7,80,4s,200Hz,1,1,5600,https://paperswithcode.com/dataset/weibo2014-moabb
+Zhou2016,4,14,3,160,5s,250Hz,3,2,11496,https://paperswithcode.com/dataset/zhou2016-moabb
+Stieger2021,62,64,4,450,3s,1000Hz,7 or 11,1,250000,
diff --git a/moabb/datasets/summary_p300.csv b/moabb/datasets/summary_p300.csv
new file mode 100644
index 000000000..d3248fe3a
--- /dev/null
+++ b/moabb/datasets/summary_p300.csv
@@ -0,0 +1,17 @@
+Dataset, #Subj, #Chan, #Trials / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
+BNCI2014_008, 8, 8, 3500 NT / 700 T, 1s, 256Hz, 1,https://paperswithcode.com/dataset/bnci2014-008-moabb-1
+BNCI2014_009, 10, 16, 1440 NT / 288 T, 0.8s, 256Hz, 3,https://paperswithcode.com/dataset/bnci2014-009-moabb-1
+BNCI2015_003, 10, 8, 1500 NT / 300 T, 0.8s, 256Hz, 1,https://paperswithcode.com/dataset/bnci2015-003-moabb-1
+BI2012, 25, 16, 640 NT / 128 T, 1s, 128Hz, 2,https://paperswithcode.com/dataset/braininvaders2012-moabb
+BI2013a, 24, 16, 3200 NT / 640 T, 1s, 512Hz, 8 for subjects 1-7 else 1,https://paperswithcode.com/dataset/braininvaders2013a-moabb
+BI2014a, 64, 16, 990 NT / 198 T, 1s, 512Hz, up to 3,https://paperswithcode.com/dataset/braininvaders2014a-moabb
+BI2014b, 38, 32, 200 NT / 40 T, 1s, 512Hz, 3,https://paperswithcode.com/dataset/braininvaders2014b-moabb
+BI2015a, 43, 32, 4131 NT / 825 T, 1s, 512Hz, 3,https://paperswithcode.com/dataset/braininvaders2015a-moabb
+BI2015b, 44, 32, 2160 NT / 480 T, 1s, 512Hz, 1,https://paperswithcode.com/dataset/braininvaders2015b-moabb
+Cattan2019_VR, 21, 16, 600 NT / 120 T, 1s, 512Hz, 2,https://paperswithcode.com/dataset/cattan2019-vr-moabb-1
+Huebner2017, 13, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3,https://paperswithcode.com/dataset/huebner2017-moabb
+Huebner2018, 12, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3,https://paperswithcode.com/dataset/huebner2018-moabb
+Sosulski2019, 13, 31, 7500 NT / 1500 T, 1.2s, 1000Hz, 1,https://paperswithcode.com/dataset/sosulski2019-moabb
+EPFLP300, 8, 32, 2753 NT / 551 T, 1s, 2048Hz, 4,https://paperswithcode.com/dataset/epflp300-moabb
+Lee2019_ERP, 54, 62, 6900 NT / 1380 T, 1s, 1000Hz, 2,https://paperswithcode.com/dataset/lee2019-erp-moabb-1
+DemonsP300, 60, 8, 935 NT / 50 T, 1s, 500Hz, 1,
diff --git a/moabb/datasets/summary_rstate.csv b/moabb/datasets/summary_rstate.csv
new file mode 100644
index 000000000..7c371fa0e
--- /dev/null
+++ b/moabb/datasets/summary_rstate.csv
@@ -0,0 +1,4 @@
+Dataset, #Subj, #Chan, #Classes, #Blocks / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
+Cattan2019_PHMD,12,16,2,10,60s,512Hz,1,
+Hinss2021,15,62,4,1,2s,250Hz,1,
+Rodrigues2017,20,16,2,5,10s,512Hz,1,
diff --git a/moabb/datasets/summary_ssvep.csv b/moabb/datasets/summary_ssvep.csv
new file mode 100644
index 000000000..5e5d9ef5c
--- /dev/null
+++ b/moabb/datasets/summary_ssvep.csv
@@ -0,0 +1,8 @@
+Dataset, #Subj, #Chan, #Classes, #Trials / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
+Lee2019_SSVEP,54,62,4,50,4s,1000Hz,2,https://paperswithcode.com/dataset/lee2019-ssvep-moabb-1
+Kalunga2016,12,8,4,16,2s,256Hz,1,https://paperswithcode.com/dataset/kalunga2016-moabb
+MAMEM1,10,256,5,12-15,3s,250Hz,1,https://paperswithcode.com/dataset/mamem1-moabb
+MAMEM2,10,256,5,20-30,3s,250Hz,1,https://paperswithcode.com/dataset/mamem2-moabb
+MAMEM3,10,14,4,20-30,3s,128Hz,1,https://paperswithcode.com/dataset/mamem3-moabb
+Nakanishi2015,9,8,12,15,4.15s,256Hz,1,https://paperswithcode.com/dataset/nakanishi2015-moabb
+Wang2016,34,62,40,6,5s,250Hz,1,https://paperswithcode.com/dataset/wang2016-moabb
diff --git a/moabb/datasets/thielen2015.py b/moabb/datasets/thielen2015.py
index b5e051f45..151fee6ef 100644
--- a/moabb/datasets/thielen2015.py
+++ b/moabb/datasets/thielen2015.py
@@ -24,15 +24,6 @@ class Thielen2015(BaseDataset):
 
     Dataset [1]_ from the study on reconvolution for c-VEP [2]_.
 
-    .. admonition:: Dataset summary
-
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class    Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-        Thielen2015          12        1         2048Hz      64        4.2s          36               3              2         27216 NT / 27216 T Gold codes     120Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-
-
     **Dataset description**
 
     EEG recordings were obtained with a sampling rate of 2048 Hz, using a setup comprising 64 Ag/AgCl electrodes, and
diff --git a/moabb/datasets/thielen2021.py b/moabb/datasets/thielen2021.py
index c46ea1aa7..f8c5c01d0 100644
--- a/moabb/datasets/thielen2021.py
+++ b/moabb/datasets/thielen2021.py
@@ -74,14 +74,6 @@ class Thielen2021(BaseDataset):
 
     Dataset [1]_ from the study on zero-training c-VEP [2]_.
 
-    .. admonition:: Dataset summary
-
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-        Name                 #Subj   #Sessions Sampling rate #Chan Trials length #Trial classes #Trials / class #Epoch classes #Epochs / class    Codes      Presentation rate
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-        Thielen2021          30        1          512Hz      8        31.5s          20               5              2         94500 NT / 94500 T Gold codes  60Hz
-        ==================== ======= ========= ============= ===== ============= ============== =============== ============== ================== ========== =================
-
     **Dataset description**
 
     EEG recordings were acquired at a sampling rate of 512 Hz, employing 8 Ag/AgCl electrodes. The Biosemi ActiveTwo EEG
diff --git a/moabb/datasets/upper_limb.py b/moabb/datasets/upper_limb.py
index 68286c198..f10db8ccd 100644
--- a/moabb/datasets/upper_limb.py
+++ b/moabb/datasets/upper_limb.py
@@ -13,15 +13,6 @@
 class Ofner2017(BaseDataset):
     """Motor Imagery ataset from Ofner et al 2017.
 
-    .. admonition:: Dataset summary
-
-
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Name         #Subj    #Chan    #Classes    #Trials / class  Trials len    Sampling rate      #Sessions
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-        Ofner2017       15       61           7                 60  3s            512Hz                      1
-        =========  =======  =======  ==========  =================  ============  ===============  ===========
-
     Upper limb Motor imagery dataset from the paper [1]_.
 
     **Dataset description**
diff --git a/moabb/tests/datasets.py b/moabb/tests/datasets.py
index 5699c16f8..0c59d16d7 100644
--- a/moabb/tests/datasets.py
+++ b/moabb/tests/datasets.py
@@ -11,7 +11,12 @@
 import moabb.datasets as db
 import moabb.datasets.compound_dataset as db_compound
 from moabb.datasets import BNCI2014_001, Cattan2019_VR, Shin2017A, Shin2017B
-from moabb.datasets.base import BaseDataset, is_abbrev, is_camel_kebab_case
+from moabb.datasets.base import (
+    BaseDataset,
+    _summary_table,
+    is_abbrev,
+    is_camel_kebab_case,
+)
 from moabb.datasets.compound_dataset import CompoundDataset
 from moabb.datasets.compound_dataset.utils import compound_dataset_list
 from moabb.datasets.fake import FakeDataset, FakeVirtualRealityDataset
@@ -251,6 +256,28 @@ def test_depreciated_datasets_init(self):
             self.assertIsNotNone(obj)
             self.assertIn(ds.__name__, depreciated_names)
 
+    def test_dataset_docstring_table(self):
+        # The dataset summary table will be automatically added to the docstring of
+        # all the datasets listed in the moabb/datasets/summary_*.csv files.
+        depreciated_names, _, _ = zip(*aliases_list)
+        for ds in dataset_list:
+            if "Fake" in ds.__name__:
+                continue
+            if ds.__name__ in depreciated_names:
+                continue
+            self.assertIn(".. admonition:: Dataset summary", ds.__doc__)
+
+    def test_completeness_summary_table(self):
+        # The dataset summary table will be automatically added to the docstring of
+        # all the datasets listed in the moabb/datasets/summary_*.csv files.
+        depreciated_names, _, _ = zip(*aliases_list)
+        for ds in dataset_list:
+            if "Fake" in ds.__name__:
+                continue
+            if ds.__name__ in depreciated_names:
+                continue
+            self.assertIn(ds.__name__, _summary_table.index)
+
     def test_dataset_list(self):
         if aliases_list:
             depreciated_list, _, _ = zip(*aliases_list)

From bb944ba8ca91e2e8164d6b4988fb0ace3def6b78 Mon Sep 17 00:00:00 2001
From: Taha Habib <95372659+tahatt13@users.noreply.github.com>
Date: Mon, 8 Jul 2024 22:53:23 +0200
Subject: [PATCH 05/14] Add Liu2024 Dataset (#619)

* including Liu2024 Dataset

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Function data_path

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* data_infos and get_single_subject_data functions

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Data Description

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* updating get_single_subject fct and data_path & adding encoding fct

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Finishing the code

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* updating docstrings for data_path

* Updating dataset_summary and updating the get_single_subject fct to handle the case of existing file in path_electrodes

* adapting the return of get_single_subject_data fct

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Adding dataset description and preload = True when reading the data in the get_single_subject fct

* fix: codespell

* fix: changing to static method the encoding

* repushing and resolving pre-commit conflicts

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* fix: changing the mapping

* fix: changing the unmatching between the trigger and the events from the csv

* ehn: using pylint to improve the code (remove not used variables, and change the module);

* modifying the python version in the pre-commit file

* adding description to enhancements

* adjusting the encoding

* adjusting comments and dataset description

* solving channels types and names issues & correcting encoding

* Correcting the number of trials per class and the total trials

* Correcting data description

* Adding the possibility to exclude/include break and instructions events

* Correcting code to include/exclude instr and break events

* Remove table from docstring

Signed-off-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>

* Add CSV row

---------

Signed-off-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: bruAristimunha <a.bruno@aluno.ufabc.edu.br>
Co-authored-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Co-authored-by: Pierre Guetschel <pierre.guetschel@donders.ru.nl>
---
 .pre-commit-config.yaml            |   2 +-
 docs/source/datasets.rst           |   2 +-
 docs/source/whats_new.rst          |   2 +
 moabb/datasets/__init__.py         |   1 +
 moabb/datasets/liu2024.py          | 340 +++++++++++++++++++++++++++++
 moabb/datasets/summary_imagery.csv |   1 +
 6 files changed, 346 insertions(+), 2 deletions(-)
 create mode 100644 moabb/datasets/liu2024.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 4fe4dbf4e..490f0e8a7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -38,7 +38,7 @@ repos:
     rev: 24.3.0
     hooks:
       - id: black
-        language_version: python3.8
+        language_version: python3
         args: [ --line-length=90, --target-version=py38 ]
 
   -   repo: https://github.com/asottile/blacken-docs
diff --git a/docs/source/datasets.rst b/docs/source/datasets.rst
index b13fc7dfc..2d3596ba6 100644
--- a/docs/source/datasets.rst
+++ b/docs/source/datasets.rst
@@ -31,7 +31,7 @@ Motor Imagery Datasets
     Weibo2014
     Zhou2016
     Stieger2021
-
+    Liu2024
 
 ------------
 ERP Datasets
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 17df90136..a6268315d 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -18,6 +18,7 @@ Develop branch
 Enhancements
 ~~~~~~~~~~~~
 - Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
+- Add new dataset :class:`moabb.datasets.Liu2024` dataset (:gh:`619` by `Taha Habib`_)
 
 Bugs
 ~~~~
@@ -473,3 +474,4 @@ API changes
 .. _Brian Irvine: https://github.com/brianjohannes
 .. _Bruna Lopes: https://github.com/brunaafl
 .. _Yash Chauhan: https://github.com/jiggychauhi
+.. _Taha Habib: https://github.com/tahatt13
diff --git a/moabb/datasets/__init__.py b/moabb/datasets/__init__.py
index b8cf8a116..5b3a41fae 100644
--- a/moabb/datasets/__init__.py
+++ b/moabb/datasets/__init__.py
@@ -61,6 +61,7 @@
 from .hinss2021 import Hinss2021
 from .huebner_llp import Huebner2017, Huebner2018
 from .Lee2019 import Lee2019_ERP, Lee2019_MI, Lee2019_SSVEP
+from .liu2024 import Liu2024
 from .mpi_mi import MunichMI  # noqa: F401
 from .mpi_mi import GrosseWentrup2009
 from .neiry import DemonsP300
diff --git a/moabb/datasets/liu2024.py b/moabb/datasets/liu2024.py
new file mode 100644
index 000000000..82dbf4af6
--- /dev/null
+++ b/moabb/datasets/liu2024.py
@@ -0,0 +1,340 @@
+"""Liu2024 Motor imagery dataset."""
+
+import os
+import shutil
+import warnings
+import zipfile as z
+from pathlib import Path
+from typing import Any, Dict, Tuple
+
+import mne
+import numpy as np
+import pandas as pd
+from mne.channels import read_custom_montage
+
+from moabb.datasets import download as dl
+from moabb.datasets.base import BaseDataset
+
+
+# Link to the raw data
+LIU2024_URL = "https://figshare.com/ndownloader/files/38516654"
+
+# Links to the electrodes and events information files
+LIU2024_ELECTRODES = "https://figshare.com/ndownloader/files/38516078"
+LIU2024_EVENTS = "https://figshare.com/ndownloader/files/38516084"
+
+
+class Liu2024(BaseDataset):
+    """
+
+    Dataset [1]_ from the study on motor imagery [2]_.
+
+    **Dataset description**
+    This dataset includes data from 50 acute stroke patients (the time after stroke ranges from 1 day to 30 days)
+    admitted to the stroke unit of Xuanwu Hospital of Capital Medical University. The patients included 39 males (78%)
+    and 11 females (22%), aged between 31 and 77 years, with an average age of 56.70 years (SD = 10.57)
+    Before the start of the experiment, the subject sat in a chair in a position as comfortable as possible with an
+    EEG cap placed on their head; subjects were positioned approximately 80 cm away from a computer screen in front of them.
+    The computer played audio instructions to the patient about the procedure. Each experiment lasted approximately 20 minutes,
+    including preparation time and approximately 10 minutes of signal recording. Before the start of the MI experiment,
+    the patients opened their eyes and closed their eyes for 1 minute each. The MI experiment was divided into 40 trials, and
+    each trial took 8 seconds, which consisted of three stages (instruction, MI and break). In the instruction stage, patients
+    were prompted to imagine grasping a spherical object with the left- or right-hand. In the MI stage, participants imagined
+    performing this action, a video of gripping motion is played on the computer, which leads the patient imagine grabbing the
+    ball. This video stays playing for 4 s. Patients only imagine one hand movement.In the break stage, participants were allowed
+    to relax and rest. The MI experiments alternated between the left- and right-hand, and the patients moved onto the next stage
+    of the experiment according to the instructions.
+
+    The EEG data were collected through a wireless multichannel EEG acquisition system (ZhenTec NT1, Xi’an ZhenTec Intelligence
+    Technology Co., Ltd., China). The system includes an EEG cap, an EEG acquisition amplifier, a data receiver and host computer
+    software. The EEG cap had electrodes placed according to the international 10-10 system, including 29 EEG recording electrodes
+    and 2 electrooculography (EOG) electrodes. The reference electrode located at CPz position and the grounding electrode located
+    at FPz position. All the EEG electrodes and grounding electrode are Ag/AgCl semi-dry EEG electrodes based on highly absorbable
+    porous sponges that are dampened with 3% NaCl solution. The EOG electrodes are composed by Ag/AgCl electrodes and conductive
+    adhesive hydrogel. The common-mode rejection ratio was 120 dB, the input impedance was 1 GΩ, the input noise was less than
+    0.4 μVrms, and the resolution was 24 bits. The acquisition impedance was less than or equal to 20 kΩ. The sampling frequency
+    was 500 Hz.
+
+    References
+    ----------
+
+    .. [1] Liu, Haijie; Lv, Xiaodong (2022). EEG datasets of stroke patients.
+        figshare. Dataset. DOI: https://doi.org/10.6084/m9.figshare.21679035.v5
+
+    .. [2] Liu, Haijie, Wei, P., Wang, H. et al. An EEG motor imagery dataset
+       for brain computer interface in acute stroke patients. Sci Data 11, 131
+       (2024). DOI: https://doi.org/10.1038/s41597-023-02787-8
+
+    Notes
+    -----
+    To add the break and instruction events, set the `break_events` and
+    `instr_events` parameters to True while instantiating the class.
+
+    .. versionadded:: 1.1.1
+
+    """
+
+    def __init__(self, break_events=False, instr_events=False):
+        self.break_events = break_events
+        self.instr_events = instr_events
+        events = {"left_hand": 1, "right_hand": 2}
+        if break_events:
+            events["instr"] = 3
+        if instr_events:
+            events["break"] = 4
+        super().__init__(
+            subjects=list(range(1, 50 + 1)),
+            sessions_per_subject=1,
+            events=events,
+            code="Liu2024",
+            interval=(2, 6),
+            paradigm="imagery",
+            doi="10.1038/s41597-023-02787-8",
+        )
+
+    def data_path(
+        self, subject, path=None, force_update=False, update_path=None, verbose=None
+    ):
+        """Return the data paths of a single subject.
+
+        Parameters
+        ----------
+        subject : int
+            The subject number to fetch data for.
+        path : None | str
+            Location of where to look for the data storing location. If None,
+            the environment variable or config parameter MNE_(dataset) is used.
+            If it doesn’t exist, the “~/mne_data” directory is used. If the
+            dataset is not found under the given path, the data
+            will be automatically downloaded to the specified folder.
+        force_update : bool
+            Force update of the dataset even if a local copy exists.
+        update_path : bool | None
+            If True, set the MNE_DATASETS_(dataset)_PATH in mne-python config
+            to the given path.
+            If None, the user is prompted.
+        verbose : bool, str, int, or None
+            If not None, override default verbose level (see mne.verbose()).
+
+        Returns
+        -------
+        list
+            A list containing the path to the subject's data file.
+        """
+        if subject not in self.subject_list:
+            raise ValueError("Invalid subject number")
+
+        # Download the zip file containing the data
+        path_zip = dl.data_dl(LIU2024_URL, self.code)
+        path_zip = Path(path_zip)
+        path_folder = path_zip.parent
+
+        # Extract the zip file if it hasn't been extracted yet
+        if not (path_folder / "edffile").is_dir():
+            zip_ref = z.ZipFile(path_zip, "r")
+            zip_ref.extractall(path_folder)
+
+        subject_paths = []
+        sub = f"sub-{subject:02d}"
+
+        # Construct the path to the subject's data file
+        subject_path = (
+            path_folder / "edffile" / sub / "eeg" / f"{sub}_task-motor-imagery_eeg.edf"
+        )
+        subject_paths.append(str(subject_path))
+
+        return subject_paths
+
+    def encoding(self, events_df: pd.DataFrame) -> Tuple[np.array, Dict[int, str]]:
+        """Encode the columns 'value' and 'trial_type' into a single event type.
+
+        Parameters
+        ----------
+        events_df : pd.DataFrame
+            DataFrame containing the events information.
+
+        Returns
+        -------
+        np.ndarray
+            Array of encoded event types.
+
+        Notes
+        -----
+        The 'trial_type' variable can take the following values:
+         - 1 : Left hand
+         - 2 : Right hand
+
+        The 'value' variable can take the following values:
+         - 1 : instructions
+         - 2 : MI
+         - 3 : break
+
+        """
+        # Define the mapping dictionary
+        encoding_mapping = {
+            (2, 2): 1,  # Left hand, MI
+            (1, 2): 2,  # Right hand, MI
+        }
+
+        mapping = {
+            1: "left_hand",
+            2: "right_hand",
+        }
+
+        if self.instr_events:
+            encoding_mapping.update(
+                {
+                    (1, 1): 3,  # Right hand, instructions
+                    (2, 1): 3,  # Left hand, instructions
+                }
+            )
+            mapping[3] = "instr"
+
+        if self.break_events:
+            encoding_mapping.update(
+                {
+                    (1, 3): 4,  # Right hand, break
+                    (2, 3): 4,  # Left hand, break
+                }
+            )
+            mapping[4] = "break"
+
+        # Filter out rows that won't be encoded
+        valid_tuples = encoding_mapping.keys()
+        events_df = events_df[
+            events_df.apply(
+                lambda row: (row["trial_type"], row["value"]) in valid_tuples, axis=1
+            )
+        ]
+
+        # Apply the mapping to the DataFrame
+        event_category = events_df.apply(
+            lambda row: encoding_mapping[(row["trial_type"], row["value"])], axis=1
+        )
+
+        return event_category, mapping
+
+    def _get_single_subject_data(self, subject):
+        """Return the data of a single subject.
+
+        Parameters
+        ----------
+        subject : int
+            The subject number to fetch data for.
+
+        Returns
+        -------
+        dict
+            A dictionary containing the raw data for the subject.
+        """
+
+        file_path_list = self.data_path(subject)[0]
+        path_electrodes, path_events = self.data_infos()
+
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            # Read the subject's raw data
+            raw = mne.io.read_raw_edf(
+                file_path_list, verbose=False, infer_types=True, stim_channel=""
+            )
+
+        # Dropping reference channels with constant values
+        raw = raw.drop_channels(["CPz"])
+
+        # Renaming channels accurately
+        raw.rename_channels({"HEOR": "VEOR", "": "STI"})
+
+        # Create a dictionary with the channel names and their new types
+        mapping = {"STI": "stim", "VEOR": "eog", "HEOL": "eog"}
+
+        # Set the new channel types
+        raw.set_channel_types(mapping)
+
+        # Normalize and Read the montage
+        path_electrodes = self._normalize_extension(path_electrodes)
+        # Read and set the montage
+        montage = read_custom_montage(path_electrodes)
+
+        events_df = pd.read_csv(path_events, sep="\t")
+
+        # Encode the events
+        event_category, mapping = self.encoding(events_df=events_df)
+
+        events = self.create_event_array(raw=raw, event_category=event_category)
+
+        # Creating and setting annotations from the events
+        annotations = mne.annotations_from_events(
+            events, sfreq=raw.info["sfreq"], event_desc=mapping
+        )
+
+        raw = raw.set_annotations(annotations)
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            # Removing the stimulus channels
+            raw = raw.pick(["eeg", "eog"])
+            # Setting the montage
+            raw = raw.set_montage(montage, verbose=False)
+        # Loading dataset
+        raw = raw.load_data(verbose=False)
+        # There is only one session
+        sessions = {"0": {"0": raw}}
+
+        return sessions
+
+    def data_infos(self):
+        """Returns the data paths of the electrodes and events information
+
+        This function downloads the necessary data files for electrodes
+        and events from their respective URLs and returns their local file paths.
+
+        Returns
+        -------
+        tuple
+            A tuple containing the local file paths to the channels, electrodes,
+            and events information files.
+        """
+
+        path_electrodes = dl.data_dl(LIU2024_ELECTRODES, self.code)
+
+        path_events = dl.data_dl(LIU2024_EVENTS, self.code)
+
+        return path_electrodes, path_events
+
+    @staticmethod
+    def _normalize_extension(file_name: str) -> str:
+        # Renaming the .tsv file to make sure it's recognized as .tsv
+        # Check if the file already has the ".tsv" extension
+
+        file_electrodes_tsv = file_name + ".tsv"
+
+        if not os.path.exists(file_electrodes_tsv):
+            # Perform the rename operation only if the target file
+            # doesn't exist
+            shutil.copy(file_name, file_electrodes_tsv)
+
+        return file_electrodes_tsv
+
+    @staticmethod
+    def create_event_array(raw: Any, event_category: np.ndarray) -> np.ndarray:
+        """
+        This method creates an event array based on the stimulus channel.
+
+        Parameters
+        ----------
+        raw : mne.io.Raw
+            The raw data.
+        event_category : np.ndarray
+            The event categories.
+
+        Returns
+        -------
+        events : np.ndarray
+            The created events array.
+        """
+        _, idx_trigger = np.nonzero(raw.copy().pick("STI").get_data())
+        n_label_stim = len(event_category)
+        # Create the events array based on the stimulus channel
+        events = np.column_stack(
+            (idx_trigger[:n_label_stim], np.zeros_like(event_category), event_category)
+        )
+        return events
diff --git a/moabb/datasets/summary_imagery.csv b/moabb/datasets/summary_imagery.csv
index 90c6ea79f..389615cc4 100644
--- a/moabb/datasets/summary_imagery.csv
+++ b/moabb/datasets/summary_imagery.csv
@@ -16,3 +16,4 @@ Shin2017B,29,30,2,30,10s,200Hz,3,1,5220,
 Weibo2014,10,60,7,80,4s,200Hz,1,1,5600,https://paperswithcode.com/dataset/weibo2014-moabb
 Zhou2016,4,14,3,160,5s,250Hz,3,2,11496,https://paperswithcode.com/dataset/zhou2016-moabb
 Stieger2021,62,64,4,450,3s,1000Hz,7 or 11,1,250000,
+Liu2024,50,29,2,20,4s,500Hz,1,1,2000,

From 97c8d6bd49ea5f4170ec733b4a23f50b5f2c3f1f Mon Sep 17 00:00:00 2001
From: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Date: Mon, 15 Jul 2024 11:08:35 +0200
Subject: [PATCH 06/14] Add scripts to publish results on PaperWithCode (#561)

* Add scripts to publish results on paperwithcode

* Create tasks manually instead (API error 403 forbidden)

* Try to create the evaluation first and other things, not working...

* Update whats_new.rst

* Fix example from API's README; still results in a "403 Forbidden"

* Fix task_id

* Allow passing multiple results files

* Save commands used as comments

* Add comment

---------

Signed-off-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>
Signed-off-by: Bru <a.bruno@aluno.ufabc.edu.br>
Co-authored-by: Bru <a.bruno@aluno.ufabc.edu.br>
---
 docs/source/whats_new.rst                     |   2 +
 .../create_datasets_and_tasks.py              | 155 +++++++++++++++
 scripts/paperswithcode/upload_results.py      | 182 ++++++++++++++++++
 3 files changed, 339 insertions(+)
 create mode 100644 scripts/paperswithcode/create_datasets_and_tasks.py
 create mode 100644 scripts/paperswithcode/upload_results.py

diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index a6268315d..8c9453563 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -17,9 +17,11 @@ Develop branch
 
 Enhancements
 ~~~~~~~~~~~~
+- Add scripts to upload results on PapersWithCode (:gh:`561` by `Pierre Guetschel`_)
 - Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
 - Add new dataset :class:`moabb.datasets.Liu2024` dataset (:gh:`619` by `Taha Habib`_)
 
+
 Bugs
 ~~~~
 - Fix caching in the workflows (:gh:`632` by `Pierre Guetschel`_)
diff --git a/scripts/paperswithcode/create_datasets_and_tasks.py b/scripts/paperswithcode/create_datasets_and_tasks.py
new file mode 100644
index 000000000..935a93ad2
--- /dev/null
+++ b/scripts/paperswithcode/create_datasets_and_tasks.py
@@ -0,0 +1,155 @@
+import pickle
+import re
+from argparse import ArgumentParser
+from dataclasses import dataclass
+
+from paperswithcode import PapersWithCodeClient
+from paperswithcode.models import DatasetCreateRequest
+
+
+def dataset_name(dataset):
+    return f"{dataset.code} MOABB"
+
+
+def dataset_full_name(dataset):
+    s = dataset.__doc__.split("\n\n")[0]
+    s = re.sub(r" \[\d+\]_", "", s)
+    s = re.sub(r"\s+", " ", s)
+    return s
+
+
+def dataset_url(dataset):
+    return f"http://moabb.neurotechx.com/docs/generated/moabb.datasets.{dataset.__class__.__name__}.html"
+
+
+def valid_datasets():
+    from moabb.datasets.utils import dataset_list
+    from moabb.utils import aliases_list
+
+    deprecated_names = [n[0] for n in aliases_list]
+    return [
+        d()
+        for d in dataset_list
+        if (d.__name__ not in deprecated_names) and ("Fake" not in d.__name__)
+    ]
+
+
+_paradigms = {
+    "MotorImagery": (
+        "Motor Imagery",
+        ["all classes", "left hand vs. right hand", "right hand vs. feet"],
+        "Motor Imagery",
+    ),
+    "P300": ("ERP", None, "Event-Related Potential (ERP)"),
+    "SSVEP": ("SSVEP", None, "Steady-State Visually Evoked Potential (SSVEP)"),
+    "CVEP": ("c-VEP", None, "Code-Modulated Visual Evoked Potential (c-VEP)"),
+}
+_evaluations = {
+    "WithinSession": "Within-Session",
+    "CrossSession": "Cross-Session",
+    "CrossSubject": "Cross-Subject",
+}
+
+
+@dataclass
+class Task:
+    id: str
+    name: str
+    description: str
+    area: str
+    parent_task: str
+
+    @classmethod
+    def make(cls, name, description, area, parent_task):
+        # to snake case
+        task_id = (
+            name.lower().replace(" ", "-").replace("(", "").replace(")", "").split(".")[0]
+        )
+        return cls(task_id, name, description, area, parent_task)
+
+
+def create_tasks(client: PapersWithCodeClient):
+    tasks = {}
+    for paradigm_class, (
+        paradigm_name,
+        subparadigms,
+        paradigm_fullname,
+    ) in _paradigms.items():
+        description = f"Classification of examples recorded under the {paradigm_fullname} paradigm, as part of Brain-Computer Interfaces (BCI)."
+        d = dict(
+            name=paradigm_name,
+            description=description,
+            area="Medical",
+            parent_task="Brain Computer Interface",
+        )
+        # task = client.task_add(TaskCreateRequest(**d))
+        task = Task.make(**d)
+        tasks[paradigm_class] = task
+        for evaluation_class, evaluation in _evaluations.items():
+            eval_url = f'http://moabb.neurotechx.com/docs/generated/moabb.evaluations.{evaluation.replace("-", "")}Evaluation.html'
+            d = dict(
+                name=f"{evaluation} {paradigm_name}",
+                description=f"""MOABB's {evaluation} evaluation for the {paradigm_name} paradigm.
+
+Evaluation details: [{eval_url}]({eval_url})""",
+                area="medical",
+                parent_task=task.id,
+            )
+            # subtask = client.task_add(TaskCreateRequest(**d))
+            subtask = Task.make(**d)
+            tasks[(paradigm_class, evaluation_class)] = subtask
+            if subparadigms is not None:
+                for subparadigm in subparadigms:
+                    d = dict(
+                        name=f"{evaluation} {paradigm_name} ({subparadigm})",
+                        description=f"""MOABB's {evaluation} evaluation for the {paradigm_name} paradigm ({subparadigm}).
+
+Evaluation details: [{eval_url}]({eval_url})""",
+                        area="medical",
+                        parent_task=subtask.id,
+                    )
+                    # subsubtask = client.task_add(TaskCreateRequest(**d))
+                    subsubtask = Task.make(**d)
+                    tasks[(paradigm_class, evaluation_class, subparadigm)] = subsubtask
+    return tasks
+
+
+def create_datasets(client):
+    datasets = valid_datasets()
+    pwc_datasets = {}
+    for dataset in datasets:
+        pwc_dataset = client.dataset_add(
+            DatasetCreateRequest(
+                name=dataset_name(dataset),
+                full_name=dataset_full_name(dataset),
+                url=dataset_url(dataset),
+            )
+        )
+        pwc_datasets[dataset.code] = pwc_dataset
+    return pwc_datasets
+
+
+if __name__ == "__main__":
+    parser = ArgumentParser()
+    parser.add_argument("token", type=str, help="PapersWithCode API token")
+    parser.add_argument(
+        "-o",
+        "--output",
+        type=str,
+        help="Pickle output file",
+        default="paperswithcode_datasets_and_tasks.pickle",
+    )
+    args = parser.parse_args()
+
+    client = PapersWithCodeClient(token=args.token)
+
+    # create tasks
+    tasks = create_tasks(client)
+
+    # create datasets
+    datasets = create_datasets(client)
+    obj = {"datasets": datasets, "tasks": tasks}
+
+    with open(args.output, "wb") as f:
+        pickle.dump(obj, f)
+    print(f"Datasets and tasks saved to {args.output}")
diff --git a/scripts/paperswithcode/upload_results.py b/scripts/paperswithcode/upload_results.py
new file mode 100644
index 000000000..c344b3d17
--- /dev/null
+++ b/scripts/paperswithcode/upload_results.py
@@ -0,0 +1,182 @@
+import pickle
+from argparse import ArgumentParser
+from dataclasses import dataclass
+from math import isnan
+
+import pandas as pd
+from paperswithcode import PapersWithCodeClient
+from paperswithcode.models import (
+    EvaluationTableSyncRequest,
+    MetricSyncRequest,
+    ResultSyncRequest,
+)
+
+
+@dataclass
+class Task:
+    id: str
+    name: str
+    description: str
+    area: str
+    parent_task: str
+
+
+_metrics = {
+    "time": "training time (s)",
+    "carbon_emission": "CO2 Emission (g)",
+}
+
+
+def make_table(results_csv_list: list[str], metric: str):
+    df_list = []
+    for results_csv in results_csv_list:
+        df = pd.read_csv(results_csv)
+        columns = ["score"]
+        if "time" in df.columns:
+            columns.append("time")
+        if "carbon_emission" in df.columns:
+            columns.append("carbon_emission")
+        df = (
+            df.groupby(
+                ["dataset", "paradigm", "evaluation", "pipeline"],
+            )[columns]
+            .mean()
+            .reset_index()
+        )
+        df.score = df.score * 100
+        columns = dict(**_metrics, score=metric)
+        df.rename(columns=columns, inplace=True)
+        df.paradigm = df.paradigm.replace(
+            {"FilterBankMotorImagery": "MotorImagery", "LeftRightImagery": "MotorImagery"}
+        )
+        print(df.head())
+        df_list.append(df)
+    return pd.concat(df_list)
+
+
+def upload_subtable(client, df, dataset, task, paper, evaluated_on):
+    kwargs = dict(
+        task=task.id,
+        dataset=dataset.id,
+        description=task.description,
+        external_id=f"{dataset.id}-{task.id}",
+        mirror_url="http://moabb.neurotechx.com/docs/benchmark_summary.html",
+    )
+    print(f"Uploading {kwargs=}")
+    # client.evaluation_create(EvaluationTableCreateRequest(**kwargs))
+
+    r = EvaluationTableSyncRequest(
+        **kwargs,
+        metrics=[
+            MetricSyncRequest(name=metric, is_loss=metric in _metrics.values())
+            for metric in df.columns
+        ],
+        results=[
+            ResultSyncRequest(
+                metrics={k: str(v) for k, v in row.to_dict().items() if not isnan(v)},
+                paper=paper,
+                methodology=pipeline,
+                external_id=f"{dataset.id}-{task.id}-{pipeline}",
+                evaluated_on=evaluated_on,
+                # external_source_url="http://moabb.neurotechx.com/docs/benchmark_summary.html",
+                # TODO: maybe update url with the exact row of the result
+            )
+            for pipeline, row in df.iterrows()
+        ],
+    )
+    print(r)
+    leaderboard_id = client.evaluation_synchronize(r)
+    print(f"{leaderboard_id=}")
+    return leaderboard_id
+
+
+def upload_table(client, df, datasets, tasks, paper, evaluated_on, subsubtask):
+    gp_cols = ["dataset", "paradigm", "evaluation"]
+    df_gp = df.groupby(gp_cols)
+    ids = []
+    for (dataset_name, paradigm_name, evaluation_name), sub_df in df_gp:
+        dataset = datasets[dataset_name]
+        task_key = (paradigm_name, evaluation_name)
+        if subsubtask is not None:
+            task_key += (subsubtask,)
+        task = tasks[task_key]
+        id = upload_subtable(
+            client,
+            sub_df.set_index("pipeline").drop(
+                columns=gp_cols
+            ),  # + list(_metrics.values())),
+            dataset,
+            task,
+            paper,
+            evaluated_on,
+        )
+        ids.append(id)
+    return ids
+
+
+if __name__ == "__main__":
+    parser = ArgumentParser()
+    parser.add_argument("token", type=str, help="PapersWithCode API token")
+    parser.add_argument(
+        "metric",
+        type=str,
+        help="Metric used in the results CSV (see PapersWithCode metrics)",
+    )
+    parser.add_argument(
+        "results_csv", type=str, help="CSV file with results to upload", nargs="+"
+    )
+
+    parser.add_argument(
+        "-s",
+        "--subsubtask",
+        type=str,
+        default=None,
+        help="If relevant, the type of motor imagery task (see create_datasets_and_tasks.py)",
+    )
+    parser.add_argument(
+        "-d",
+        "--datasets",
+        type=str,
+        help="Pickle file created by create_datasets_and_tasks.py",
+        default="paperswithcode_datasets_and_tasks.pickle",
+    )
+    parser.add_argument(
+        "-o",
+        "--output",
+        type=str,
+        help="Pickle output file",
+        default="paperswithcode_results.pickle",
+    )
+    parser.add_argument("-p", "--paper", type=str, help="Paper URL", default="")
+    parser.add_argument(
+        "-e",
+        "--evaluated_on",
+        type=str,
+        help="Results date YYYY-MM-DD",
+        default="2024-04-09",
+    )
+    args = parser.parse_args()
+
+    with open(args.datasets, "rb") as f:
+        datasets = pickle.load(f)
+    summary_table = make_table(args.results_csv, metric=args.metric)
+
+    client = PapersWithCodeClient(token=args.token)
+
+    upload_table(
+        client,
+        summary_table,
+        datasets["datasets"],
+        datasets["tasks"],
+        args.paper,
+        args.evaluated_on,
+        args.subsubtask,
+    )
+
+# Commands used to upload the results of the benchmark paper:
+# (generate a new API token, this one is expired)
+# python scripts/paperswithcode/upload_results.py 5a4bd76b2b66908f0b8f28fb45dd41b918d3440b AUC-ROC ../moabb_paper_plots/DATA/results_rf_Optuna.csv  -s="right hand vs. feet" -d paperswithcode_datasets_and_tasks2.pickle -o test_out.pickle -p "https://arxiv.org/abs/2404.15319v1" -e=2024-04-03
+# python scripts/paperswithcode/upload_results.py 5a4bd76b2b66908f0b8f28fb45dd41b918d3440b AUC-ROC ../moabb_paper_plots/DATA/results_lhrh_Optuna.csv  -s="left hand vs. right hand" -d paperswithcode_datasets_and_tasks2.pickle -o test_out.pickle -p "https://arxiv.org/abs/2404.15319v1" -e=2024-04-03
+# python scripts/paperswithcode/upload_results.py 5a4bd76b2b66908f0b8f28fb45dd41b918d3440b Accuracy ../moabb_paper_plots/DATA/results_All_Optuna.csv  -s="all classes" -d paperswithcode_datasets_and_tasks2.pickle -o test_out.pickle -p "https://arxiv.org/abs/2404.15319v1" -e=2024-04-03
+# python scripts/paperswithcode/upload_results.py 5a4bd76b2b66908f0b8f28fb45dd41b918d3440b Accuracy ../moabb_paper_plots/DATA/results_SSVEP.csv ../moabb_paper_plots/DATA/results_SSVEP_DL.csv -d paperswithcode_datasets_and_tasks2.pickle -p "https://arxiv.org/abs/2404.15319v1" -e=2024-04-03
+# python scripts/paperswithcode/upload_results.py 5a4bd76b2b66908f0b8f28fb45dd41b918d3440b AUC-ROC ../moabb_paper_plots/DATA/results_P300.csv ../moabb_paper_plots/DATA/results_P300_DL.csv -d paperswithcode_datasets_and_tasks2.pickle -p "https://arxiv.org/abs/2404.15319v1" -e=2024-04-03

From 81129f57cac61c566e663254d03cc84a9529862a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 15 Jul 2024 10:14:07 +0100
Subject: [PATCH 07/14] [pre-commit.ci] pre-commit autoupdate (#631)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/pre-commit-hooks: v4.5.0 → v4.6.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.5.0...v4.6.0)
- [github.com/psf/black: 24.3.0 → 24.4.2](https://github.com/psf/black/compare/24.3.0...24.4.2)
- [github.com/asottile/blacken-docs: 1.16.0 → 1.18.0](https://github.com/asottile/blacken-docs/compare/1.16.0...1.18.0)
- [github.com/PyCQA/flake8: 7.0.0 → 7.1.0](https://github.com/PyCQA/flake8/compare/7.0.0...7.1.0)
- [github.com/astral-sh/ruff-pre-commit: v0.3.5 → v0.5.0](https://github.com/astral-sh/ruff-pre-commit/compare/v0.3.5...v0.5.0)
- [github.com/codespell-project/codespell: v2.2.6 → v2.3.0](https://github.com/codespell-project/codespell/compare/v2.2.6...v2.3.0)

* FIX: including new word

* including

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Bru <a.bruno@aluno.ufabc.edu.br>
---
 .pre-commit-config.yaml   | 14 +++++++-------
 docs/source/whats_new.rst |  1 +
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 490f0e8a7..c59f216a6 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -15,7 +15,7 @@ exclude: ".*svg"
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       - id: check-yaml
       - id: check-json
@@ -35,14 +35,14 @@ repos:
 
 
   - repo: https://github.com/psf/black
-    rev: 24.3.0
+    rev: 24.4.2
     hooks:
       - id: black
         language_version: python3
         args: [ --line-length=90, --target-version=py38 ]
 
   -   repo: https://github.com/asottile/blacken-docs
-      rev: 1.16.0
+      rev: 1.18.0
       hooks:
       -   id: blacken-docs
           additional_dependencies: [black==23.3.0]
@@ -54,7 +54,7 @@ repos:
       - id: isort
 
   - repo: https://github.com/PyCQA/flake8
-    rev: 7.0.0
+    rev: 7.1.0
     hooks:
       - id: flake8
         additional_dependencies: [
@@ -69,17 +69,17 @@ repos:
         exclude: ^docs/ | ^setup\.py$ |
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.3.5
+    rev: v0.5.0
     hooks:
       - id: ruff
         args: [ --fix, --exit-non-zero-on-fix, --ignore, E501 ]
 
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.2.6
+    rev: v2.3.0
     hooks:
       - id: codespell
         args:
-          - --ignore-words-list=additionals,alle,alot,bund,currenty,datas,farenheit,falsy,fo,haa,hass,iif,incomfort,ines,ist,nam,nd,pres,pullrequests,resset,rime,ser,serie,te,technik,ue,unsecure,withing,zar,crate
+          - --ignore-words-list=assertIn,additionals,alle,alot,bund,currenty,datas,farenheit,falsy,fo,haa,hass,iif,incomfort,ines,ist,nam,nd,pres,pullrequests,resset,rime,ser,serie,te,technik,ue,unsecure,withing,zar,crate
           - --skip="./.*,*.csv,*.json,*.ambr"
           - --quiet-level=2
         exclude_types: [ csv, json, svg ]
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 8c9453563..74256d8ce 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -20,6 +20,7 @@ Enhancements
 - Add scripts to upload results on PapersWithCode (:gh:`561` by `Pierre Guetschel`_)
 - Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
 - Add new dataset :class:`moabb.datasets.Liu2024` dataset (:gh:`619` by `Taha Habib`_)
+- Increasing the version in the pre-commit config (:gh:`631` by pre-commit bot)
 
 
 Bugs

From a840f7d16b155b46d4f2d6482b9c6edc12aceafa Mon Sep 17 00:00:00 2001
From: Igor Carrara <94047258+carraraig@users.noreply.github.com>
Date: Mon, 15 Jul 2024 13:42:27 +0200
Subject: [PATCH 08/14] Optuna GridSearch (#630)

* Optuna

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Optuna - Categorical Distibution

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Add optuna to dependency and regenerate poetry

* Add optuna to dependency and regenerate poetry

* Add optuna to dependency and regenerate poetry

* Add test on within Session

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Add test on within Session

* Add test on within Session

* ehn: common function with dict

* ehn: moving function to util

* fix: correcting the what news file.

* Add test benchmark and raise an issue if the conversion didn't worked and exposed time_out parameter

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* FIX: italian to eng

* EHN: making optuna optional

* FIX: fixing the workflow files

* FIX: changing the optuna file

* FIX: including optuna for the windows

---------

Signed-off-by: Bru <a.bruno@aluno.ufabc.edu.br>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: bruAristimunha <a.bruno@aluno.ufabc.edu.br>
---
 .github/workflows/docs.yml       |    4 +-
 .github/workflows/test-devel.yml |    6 +-
 .github/workflows/test.yml       |    6 +-
 docs/source/whats_new.rst        |    6 +-
 moabb/benchmark.py               |    8 +
 moabb/evaluations/base.py        |   47 +-
 moabb/evaluations/utils.py       |   41 +
 moabb/tests/benchmark.py         |   10 +
 moabb/tests/evaluations.py       |   25 +
 poetry.lock                      | 1347 ++++++++++++++++++------------
 pyproject.toml                   |    6 +-
 11 files changed, 949 insertions(+), 557 deletions(-)

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 1ab914d05..1e5f03511 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -66,10 +66,10 @@ jobs:
 
       - name: Install dependencies
         if: (steps.cached-poetry-dependencies.outputs.cache-hit != 'true')
-        run: poetry install --no-interaction --no-root --with docs --extras deeplearning
+        run: poetry install --no-interaction --no-root --with docs --extras deeplearning --extras optuna
 
       - name: Install library
-        run: poetry install --no-interaction --with docs --extras deeplearning
+        run: poetry install --no-interaction --with docs --extras deeplearning --extras optuna
 
       - name: Build docs
         run: |
diff --git a/.github/workflows/test-devel.yml b/.github/workflows/test-devel.yml
index a4c17b5d8..bbc542d21 100644
--- a/.github/workflows/test-devel.yml
+++ b/.github/workflows/test-devel.yml
@@ -62,15 +62,15 @@ jobs:
         if: |
           (runner.os != 'Windows') &&
           (steps.cached-poetry-dependencies.outputs.cache-hit != 'true')
-        run: poetry install --no-interaction --no-root --extras deeplearning
+        run: poetry install --no-interaction --no-root --extras deeplearning --extras optuna
 
       - name: Install library (Linux/OSX)
         if: ${{ runner.os != 'Windows' }}
-        run: poetry install --no-interaction --extras deeplearning
+        run: poetry install --no-interaction --extras deeplearning --extras optuna
 
       - name: Install library (Windows)
         if: ${{ runner.os == 'Windows' }}
-        run: poetry install --no-interaction
+        run: poetry install --no-interaction --extras optuna
 
       - name: Run tests
         run: |
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 772f851be..5d23fa0ac 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -62,15 +62,15 @@ jobs:
         if: |
           (runner.os != 'Windows') &&
           (steps.cached-poetry-dependencies.outputs.cache-hit != 'true')
-        run: poetry install --no-interaction --no-root --extras deeplearning
+        run: poetry install --no-interaction --no-root --extras deeplearning --extras optuna
 
       - name: Install library (Linux/OSX)
         if: ${{ runner.os != 'Windows' }}
-        run: poetry install --no-interaction --extras deeplearning
+        run: poetry install --no-interaction --extras deeplearning --extras optuna
 
       - name: Install library (Windows)
         if: ${{ runner.os == 'Windows' }}
-        run: poetry install --no-interaction
+        run: poetry install --no-interaction --extras optuna
 
       - name: Run tests
         run: |
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 74256d8ce..fe246d754 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -17,19 +17,23 @@ Develop branch
 
 Enhancements
 ~~~~~~~~~~~~
+- Add possibility to use OptunaGridSearch (:gh:`630` by `Igor Carrara`_)
 - Add scripts to upload results on PapersWithCode (:gh:`561` by `Pierre Guetschel`_)
 - Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
 - Add new dataset :class:`moabb.datasets.Liu2024` dataset (:gh:`619` by `Taha Habib`_)
 - Increasing the version in the pre-commit config (:gh:`631` by pre-commit bot)
 
 
+
 Bugs
 ~~~~
 - Fix caching in the workflows (:gh:`632` by `Pierre Guetschel`_)
 
 API changes
 ~~~~~~~~~~~
-- None
+- Include optuna as soft-dependency in the benchmark function and in the base of evaluation (:gh:`630` by `Igor Carrara`_)
+
+
 
 Version - 1.1.0  (Stable - PyPi)
 ---------------------------------
diff --git a/moabb/benchmark.py b/moabb/benchmark.py
index f2493cfa3..312223f6f 100644
--- a/moabb/benchmark.py
+++ b/moabb/benchmark.py
@@ -45,6 +45,7 @@ def benchmark(  # noqa: C901
     exclude_datasets=None,
     n_splits=None,
     cache_config=None,
+    optuna=False,
 ):
     """Run benchmarks for selected pipelines and datasets.
 
@@ -102,6 +103,7 @@ def benchmark(  # noqa: C901
         and exclude_datasets are specified, raise an error.
     exclude_datasets: list of str or Dataset object
         Datasets to exclude from the benchmark run
+    optuna: Enable Optuna for the hyperparameter search
 
     Returns
     -------
@@ -110,7 +112,11 @@ def benchmark(  # noqa: C901
 
     Notes
     -----
+    .. versionadded:: 1.1.1
+        Includes the possibility to use Optuna for hyperparameter search.
+
     .. versionadded:: 0.5.0
+        Create the function to run the benchmark
     """
     # set logs
     if evaluations is None:
@@ -182,6 +188,7 @@ def benchmark(  # noqa: C901
                     return_epochs=True,
                     n_splits=n_splits,
                     cache_config=cache_config,
+                    optuna=optuna,
                 )
                 paradigm_results = context.process(
                     pipelines=ppl_with_epochs, param_grid=param_grid
@@ -202,6 +209,7 @@ def benchmark(  # noqa: C901
                     overwrite=overwrite,
                     n_splits=n_splits,
                     cache_config=cache_config,
+                    optuna=optuna,
                 )
                 paradigm_results = context.process(
                     pipelines=ppl_with_array, param_grid=param_grid
diff --git a/moabb/evaluations/base.py b/moabb/evaluations/base.py
index a16e23226..c15c2699d 100644
--- a/moabb/evaluations/base.py
+++ b/moabb/evaluations/base.py
@@ -1,5 +1,6 @@
 import logging
 from abc import ABC, abstractmethod
+from warnings import warn
 
 import pandas as pd
 from sklearn.base import BaseEstimator
@@ -7,11 +8,25 @@
 
 from moabb.analysis import Results
 from moabb.datasets.base import BaseDataset
+from moabb.evaluations.utils import _convert_sklearn_params_to_optuna
 from moabb.paradigms.base import BaseParadigm
 
 
 log = logging.getLogger(__name__)
 
+# Making the optuna soft dependency
+try:
+    from optuna.integration import OptunaSearchCV
+
+    optuna_available = True
+except ImportError:
+    optuna_available = False
+
+if optuna_available:
+    search_methods = {"grid": GridSearchCV, "optuna": OptunaSearchCV}
+else:
+    search_methods = {"grid": GridSearchCV}
+
 
 class BaseEvaluation(ABC):
     """Base class that defines necessary operations for an evaluation.
@@ -53,11 +68,19 @@ class BaseEvaluation(ABC):
         Save model after training, for each fold of cross-validation if needed
     cache_config: bool, default=None
         Configuration for caching of datasets. See :class:`moabb.datasets.base.CacheConfig` for details.
+    optuna:bool, default=False
+        If optuna is enable it will change the GridSearch to a RandomizedGridSearch with 15 minutes of cut off time.
+        This option is compatible with list of entries of type None, bool, int, float and string
+    time_out: default=60*15
+        Cut off time for the optuna search expressed in seconds, the default value is 15 minutes.
+        Only used with optuna equal to True.
 
     Notes
     -----
     .. versionadded:: 1.1.0
        n_splits, save_model, cache_config parameters.
+    .. versionadded:: 1.1.1
+       optuna, time_out parameters.
     """
 
     def __init__(
@@ -77,6 +100,8 @@ def __init__(
         n_splits=None,
         save_model=False,
         cache_config=None,
+        optuna=False,
+        time_out=60 * 15,
     ):
         self.random_state = random_state
         self.n_jobs = n_jobs
@@ -88,6 +113,16 @@ def __init__(
         self.n_splits = n_splits
         self.save_model = save_model
         self.cache_config = cache_config
+        self.optuna = optuna
+        self.time_out = time_out
+
+        if self.optuna and not optuna_available:
+            raise ImportError("Optuna is not available. Please install it first.")
+        if (self.time_out != 60 * 15) and not self.optuna:
+            warn(
+                "time_out parameter is only used when optuna is enabled. "
+                "Ignoring time_out parameter."
+            )
         # check paradigm
         if not isinstance(paradigm, BaseParadigm):
             raise (ValueError("paradigm must be an Paradigm instance"))
@@ -261,9 +296,17 @@ def is_valid(self, dataset):
         """
 
     def _grid_search(self, param_grid, name, grid_clf, inner_cv):
+        extra_params = {}
         if param_grid is not None:
             if name in param_grid:
-                search = GridSearchCV(
+                if self.optuna:
+                    search = search_methods["optuna"]
+                    param_grid[name] = _convert_sklearn_params_to_optuna(param_grid[name])
+                    extra_params["timeout"] = self.time_out
+                else:
+                    search = search_methods["grid"]
+
+                search = search(
                     grid_clf,
                     param_grid[name],
                     refit=True,
@@ -271,9 +314,9 @@ def _grid_search(self, param_grid, name, grid_clf, inner_cv):
                     n_jobs=self.n_jobs,
                     scoring=self.paradigm.scoring,
                     return_train_score=True,
+                    **extra_params,
                 )
                 return search
-
             else:
                 return grid_clf
 
diff --git a/moabb/evaluations/utils.py b/moabb/evaluations/utils.py
index fad15e064..4a28b8d48 100644
--- a/moabb/evaluations/utils.py
+++ b/moabb/evaluations/utils.py
@@ -8,6 +8,14 @@
 from sklearn.pipeline import Pipeline
 
 
+try:
+    from optuna.distributions import CategoricalDistribution
+
+    optuna_available = True
+except ImportError:
+    optuna_available = False
+
+
 def _check_if_is_keras_model(model):
     """Check if the model is a Keras model.
 
@@ -212,3 +220,36 @@ def create_save_path(
         return str(path_save)
     else:
         print("No hdf5_path provided, models will not be saved.")
+
+
+def _convert_sklearn_params_to_optuna(param_grid: dict) -> dict:
+    """
+    Function to convert the parameter in Optuna format. This function will
+    create a categorical distribution of values from the list of values
+    provided in the parameter grid.
+
+    Parameters
+    ----------
+    param_grid:
+        Dictionary with the parameters to be converted.
+
+    Returns
+    -------
+    optuna_params: dict
+        Dictionary with the parameters converted to Optuna format.
+    """
+    if not optuna_available:
+        raise ImportError(
+            "Optuna is not available. Please install it optuna " "and optuna-integration."
+        )
+    else:
+        optuna_params = {}
+        for key, value in param_grid.items():
+            try:
+                if isinstance(value, list):
+                    optuna_params[key] = CategoricalDistribution(value)
+                else:
+                    optuna_params[key] = value
+            except Exception as e:
+                raise ValueError(f"Conversion failed for parameter {key}: {e}")
+        return optuna_params
diff --git a/moabb/tests/benchmark.py b/moabb/tests/benchmark.py
index e6147fd7d..f7ea26f60 100644
--- a/moabb/tests/benchmark.py
+++ b/moabb/tests/benchmark.py
@@ -72,6 +72,16 @@ def test_include_exclude(self):
             overwrite=True,
         )
 
+    def test_optuna(self):
+        res = benchmark(
+            pipelines=str(self.pp_dir),
+            evaluations=["WithinSession"],
+            paradigms=["FakeImageryParadigm"],
+            overwrite=True,
+            optuna=True,
+        )
+        self.assertEqual(len(res), 40)
+
 
 if __name__ == "__main__":
     unittest.main()
diff --git a/moabb/tests/evaluations.py b/moabb/tests/evaluations.py
index 81069e50b..d6aee6045 100644
--- a/moabb/tests/evaluations.py
+++ b/moabb/tests/evaluations.py
@@ -58,6 +58,7 @@ def setUp(self):
             datasets=[dataset],
             hdf5_path="res_test",
             save_model=True,
+            optuna=False,
         )
 
     def test_mne_labels(self):
@@ -138,6 +139,30 @@ def test_eval_grid_search(self):
         # We should have 9 columns in the results data frame
         self.assertEqual(len(results[0].keys()), 9 if _carbonfootprint else 8)
 
+    def test_eval_grid_search_optuna(self):
+        # Test grid search
+        param_grid = {"C": {"csp__metric": ["euclid", "riemann"]}}
+        process_pipeline = self.eval.paradigm.make_process_pipelines(dataset)[0]
+
+        self.eval.optuna = True
+
+        results = [
+            r
+            for r in self.eval.evaluate(
+                dataset,
+                pipelines,
+                param_grid=param_grid,
+                process_pipeline=process_pipeline,
+            )
+        ]
+
+        self.eval.optuna = False
+
+        # We should get 4 results, 2 sessions 2 subjects
+        self.assertEqual(len(results), 4)
+        # We should have 9 columns in the results data frame
+        self.assertEqual(len(results[0].keys()), 9 if _carbonfootprint else 8)
+
     def test_within_session_evaluation_save_model(self):
         res_test_path = "./res_test"
 
diff --git a/poetry.lock b/poetry.lock
index f50b654c6..4bcfb8eba 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -13,18 +13,22 @@ files = [
 
 [[package]]
 name = "accessible-pygments"
-version = "0.0.4"
+version = "0.0.5"
 description = "A collection of accessible pygments styles"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 files = [
-    {file = "accessible-pygments-0.0.4.tar.gz", hash = "sha256:e7b57a9b15958e9601c7e9eb07a440c813283545a20973f2574a5f453d0e953e"},
-    {file = "accessible_pygments-0.0.4-py2.py3-none-any.whl", hash = "sha256:416c6d8c1ea1c5ad8701903a20fcedf953c6e720d64f33dc47bfb2d3f2fa4e8d"},
+    {file = "accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7"},
+    {file = "accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872"},
 ]
 
 [package.dependencies]
 pygments = ">=1.5"
 
+[package.extras]
+dev = ["pillow", "pkginfo (>=1.10)", "playwright", "pre-commit", "setuptools", "twine (>=5.0)"]
+tests = ["hypothesis", "pytest"]
+
 [[package]]
 name = "alabaster"
 version = "0.7.16"
@@ -36,6 +40,25 @@ files = [
     {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
 ]
 
+[[package]]
+name = "alembic"
+version = "1.13.2"
+description = "A database migration tool for SQLAlchemy."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"},
+    {file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo"]
+
 [[package]]
 name = "arrow"
 version = "1.3.0"
@@ -72,13 +95,13 @@ wheel = ">=0.23.0,<1.0"
 
 [[package]]
 name = "babel"
-version = "2.14.0"
+version = "2.15.0"
 description = "Internationalization utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
-    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
+    {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
+    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
 ]
 
 [package.extras]
@@ -137,13 +160,13 @@ tests = ["codecov", "pytest", "pytest-cases", "pytest-cov"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
 ]
 
 [[package]]
@@ -272,13 +295,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "codecarbon"
-version = "2.3.5"
+version = "2.5.0"
 description = ""
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "codecarbon-2.3.5-py3-none-any.whl", hash = "sha256:3e8d5013c020aaac80ea338b2843972e9c7bc484d49f794d0f59a56dcdeb1da1"},
-    {file = "codecarbon-2.3.5.tar.gz", hash = "sha256:ef0f77d520f179624448a6a064f04647c08a8fb1bbc50cc516457899c69321ae"},
+    {file = "codecarbon-2.5.0-py3-none-any.whl", hash = "sha256:6b8097b753ec4affe74653d380e4e4f12a7554b2600306ce565571425d85e274"},
+    {file = "codecarbon-2.5.0.tar.gz", hash = "sha256:2d2e3618a2b030d8c506924201f1dd65f156dce1f9b8a2366711d8a3eefe31a0"},
 ]
 
 [package.dependencies]
@@ -293,7 +316,6 @@ rapidfuzz = "*"
 requests = "*"
 
 [package.extras]
-dashboard = ["dash (>=2.2.0)", "dash-bootstrap-components", "plotly (>=5.6.0)"]
 viz = ["dash", "dash-bootstrap-components (<1.0.0)", "fire"]
 
 [[package]]
@@ -307,6 +329,23 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "colorlog"
+version = "6.8.2"
+description = "Add colours to the output of Python's logging module."
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "colorlog-6.8.2-py3-none-any.whl", hash = "sha256:4dcbb62368e2800cb3c5abd348da7e53f6c362dda502ec27c560b2e58a66bd33"},
+    {file = "colorlog-6.8.2.tar.gz", hash = "sha256:3e3e079a41feb5a1b64f978b5ea4f46040a94f11f0e8bbb8261e3dbbeca64d44"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
+
 [[package]]
 name = "contourpy"
 version = "1.2.1"
@@ -372,63 +411,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.5.0"
+version = "7.5.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "coverage-7.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:432949a32c3e3f820af808db1833d6d1631664d53dd3ce487aa25d574e18ad1c"},
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@@ -487,24 +526,24 @@ test = ["covdefaults", "pytest", "pytest-cov"]
 
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 [package.dependencies]
@@ -526,13 +565,13 @@ numpy = ">=1.17"
 
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 [[package]]
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 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
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+    {file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.64.1)"]
 
 [[package]]
 name = "h5py"
@@ -804,22 +906,22 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.1.0"
+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
-    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
+    {file = "importlib_metadata-8.0.0-py3-none-any.whl", hash = "sha256:15584cf2b1bf449d98ff8a6ff1abef57bf20f3ac6454f431736cd3e660921b2f"},
+    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -852,13 +954,13 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.3"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -869,24 +971,24 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.4.0"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
+    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
 [[package]]
 name = "keras"
-version = "3.3.3"
+version = "3.4.1"
 description = "Multi-backend Keras."
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "keras-3.3.3-py3-none-any.whl", hash = "sha256:260df9ef71c6b89eb6816ce1c60f139c38ccdddd16f24e7005d2be127cdef8e4"},
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+    {file = "keras-3.4.1-py3-none-any.whl", hash = "sha256:15599c51e2090c12f39de6db6489a0cf265ddf6653f0731b82db5af2bfa19105"},
+    {file = "keras-3.4.1.tar.gz", hash = "sha256:34cd9aeaa008914715149234c215657ca758e1b473bd2aab2e211ac967d1f8fe"},
 ]
 
 [package.dependencies]
@@ -896,6 +998,7 @@ ml-dtypes = "*"
 namex = "*"
 numpy = "*"
 optree = "*"
+packaging = "*"
 rich = "*"
 
 [[package]]
@@ -1074,6 +1177,25 @@ files = [
 docutils = "*"
 mistune = "0.8.4"
 
+[[package]]
+name = "mako"
+version = "1.3.5"
+description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=0.9.2"
+
+[package.extras]
+babel = ["Babel"]
+lingua = ["lingua"]
+testing = ["pytest"]
+
 [[package]]
 name = "markdown"
 version = "3.6"
@@ -1187,39 +1309,40 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.8.4"
+version = "3.9.0"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1228,12 +1351,15 @@ cycler = ">=0.10"
 fonttools = ">=4.22.0"
 importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
 kiwisolver = ">=1.3.1"
-numpy = ">=1.21"
+numpy = ">=1.23"
 packaging = ">=20.0"
 pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -1309,13 +1435,13 @@ dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
 
 [[package]]
 name = "mne"
-version = "1.7.0"
+version = "1.7.1"
 description = "MNE-Python project for MEG and EEG data analysis."
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "mne-1.7.1-py3-none-any.whl", hash = "sha256:90f18eb8000f33701ebdc64766a70c644be2745be76ae6b66d7d14dd44fe83f3"},
+    {file = "mne-1.7.1.tar.gz", hash = "sha256:a87bbc998b792532d2c87add8b0f7bbf28a4d8cf5db1bdfb6d6e260791754498"},
 ]
 
 [package.dependencies]
@@ -1369,18 +1495,15 @@ files = [
 
 [[package]]
 name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
-    {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
-    {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
+    {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -1587,15 +1710,62 @@ numpy = ["numpy"]
 test = ["pytest", "pytest-cov", "pytest-xdist"]
 torch = ["torch"]
 
+[[package]]
+name = "optuna"
+version = "3.6.1"
+description = "A hyperparameter optimization framework"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "optuna-3.6.1-py3-none-any.whl", hash = "sha256:b32e0490bd6552790b70ec94de77dd2855057c9e229cd9f4da48fe8a31c7f1cc"},
+    {file = "optuna-3.6.1.tar.gz", hash = "sha256:146e530b57b4b9afd7526b3e642fbe65491f7e292b405913355f8e438e361ecf"},
+]
+
+[package.dependencies]
+alembic = ">=1.5.0"
+colorlog = "*"
+numpy = "*"
+packaging = ">=20.0"
+PyYAML = "*"
+sqlalchemy = ">=1.3.0"
+tqdm = "*"
+
+[package.extras]
+benchmark = ["asv (>=0.5.0)", "botorch", "cma", "virtualenv"]
+checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"]
+document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-plotly-directive", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"]
+optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
+test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
+
+[[package]]
+name = "optuna-integration"
+version = "3.6.0"
+description = "Integration libraries of Optuna."
+optional = true
+python-versions = "*"
+files = [
+    {file = "optuna-integration-3.6.0.tar.gz", hash = "sha256:f261c38586b22cd95639287ca694fc0f788482cfbb7bb83803caf404ce06a55a"},
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+]
+
+[package.dependencies]
+optuna = "*"
+
+[package.extras]
+all = ["botorch (<0.10.0)", "catalyst", "catboost (>=0.26)", "catboost (>=0.26,<1.2)", "cma", "distributed", "fastai", "gpytorch", "lightgbm", "lightning", "mlflow", "mxnet", "pandas", "pytorch-ignite", "scikit-learn (>=0.24.2)", "scikit-optimize", "scipy (>=1.9.2)", "shap", "skorch", "tensorboard", "tensorflow", "torch", "wandb", "xgboost"]
+checking = ["black", "blackdoc", "hacking", "isort", "mypy", "types-PyYAML", "types-redis", "types-setuptools", "typing-extensions (>=3.10.0.0)"]
+document = ["cma", "mlflow", "pandas", "scikit-learn (>=0.24.2)", "scipy (>=1.9.2)", "sphinx", "sphinx-rtd-theme"]
+test = ["coverage", "fakeredis[lua]", "pytest"]
+
 [[package]]
 name = "packaging"
-version = "24.0"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
 ]
 
 [[package]]
@@ -1734,13 +1904,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1765,13 +1935,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pooch"
-version = "1.8.1"
-description = "\"Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.\""
+version = "1.8.2"
+description = "A friend to fetch your data files"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"},
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 ]
 
 [package.dependencies]
@@ -1838,27 +2008,28 @@ files = [
 
 [[package]]
 name = "psutil"
-version = "5.9.8"
+version = "6.0.0"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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 ]
 
 [package.extras]
@@ -1937,17 +2108,16 @@ test = ["codecov", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "pygments"
-version = "2.17.2"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
-plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
@@ -2106,101 +2276,104 @@ files = [
 
 [[package]]
 name = "rapidfuzz"
-version = "3.8.1"
+version = "3.9.3"
 description = "rapid fuzzy string matching"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2371,19 +2547,18 @@ stats = ["scipy (>=1.3)", "statsmodels (>=0.10)"]
 
 [[package]]
 name = "setuptools"
-version = "69.5.1"
+version = "70.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
+optional = true
 python-versions = ">=3.8"
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 [[package]]
 name = "six"
@@ -2398,13 +2573,13 @@ files = [
 
 [[package]]
 name = "skorch"
-version = "0.15.0"
+version = "1.0.0"
 description = "scikit-learn compatible neural network library for pytorch"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2597,21 +2772,21 @@ test = ["pytest"]
 
 [[package]]
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+version = "2.6.2"
 description = "Sphinx extension for BibTeX style citations."
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-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
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 pybtex = ">=0.24"
 pybtex-docutils = ">=1.0.0"
-Sphinx = ">=2.1"
+Sphinx = ">=3.5"
 
 [[package]]
 name = "sphinxcontrib-devhelp"
@@ -2705,6 +2880,93 @@ lint = ["docutils-stubs", "flake8", "mypy"]
 standalone = ["Sphinx (>=5)"]
 test = ["pytest"]
 
+[[package]]
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+version = "2.0.31"
+description = "Database Abstraction Library"
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+python-versions = ">=3.7"
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+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
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+sqlcipher = ["sqlcipher3_binary"]
+
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -2874,13 +3136,13 @@ tests = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.4.0"
+version = "3.5.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -2947,13 +3209,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
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 ]
 
 [[package]]
 name = "zipp"
-version = "3.18.1"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
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+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
 carbonemission = ["codecarbon"]
 deeplearning = ["braindecode", "docstring_inheritance", "keras", "libclang", "scikeras", "tensorflow", "torch"]
+optuna = ["optuna", "optuna-integration"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "f27cf02f7254d13cf7311a52159cfa8ee37a4b4af81e1d2826ff40e23402a99c"
+content-hash = "457c398dead63c554bd2b3fd7950acfa655fd776a26383750d35249d34711d0c"
diff --git a/pyproject.toml b/pyproject.toml
index 7c61a3c66..48c63b2b5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,6 +34,7 @@ edfio = "^0.4.2"
 pytest = "^7.4.0"
 mne-bids = "^0.14"
 
+
 # Optional dependencies for carbon emission
 codecarbon = { version = "^2.1.4", optional = true }
 
@@ -45,12 +46,13 @@ braindecode = {version = "^0.8", optional = true}
 torch = { version = "^1.13.1", optional = true }
 libclang = { version = "^15.0", optional = true }
 docstring_inheritance = { version = "^2.2.0", optional = true}
-
+optuna = { version = "^3.6.1", optional = true }
+optuna-integration = { version = "^3.6.0", optional = true }
 
 [tool.poetry.extras]
 carbonemission = ["codecarbon"]
 deeplearning = ["tensorflow", "keras", "scikeras", "braindecode", "docstring_inheritance", "torch", "libclang"]
-
+optuna = ["optuna", "optuna-integration"]
 
 [tool.poetry.group.docs]
 optional = true

From 8e7db25eb0c4f8bad3cadf0b221ccb929123eac0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Quentin=20Barth=C3=A9lemy?= <q.barthelemy@gmail.com>
Date: Wed, 21 Aug 2024 15:10:04 +0200
Subject: [PATCH 09/14] correct name (#642)

---
 CITATION.cff | 4 ++--
 README.md    | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 31d38de8d..12e1c2f0b 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -24,8 +24,8 @@ authors:
 - family-names: "Bjareholt"
   given-names: "Erik"
   orcid: "https://orcid.org/0000-0003-1350-9677"
-- family-names: "Quentin"
-  given-names: "Barthelemy"
+- family-names: "Barthelemy"
+  given-names: "Quentin"
   orcid: "https://orcid.org/0000-0002-7059-6028"
 - family-names: "Schirrmeister"
   given-names: "Robin Tibor"
diff --git a/README.md b/README.md
index a94edc692..b8ba3f621 100644
--- a/README.md
+++ b/README.md
@@ -291,13 +291,13 @@ If you use MOABB in your experiments, please cite this library when
 publishing a paper to increase the visibility of open science initiatives:
 
 ```
-Aristimunha, B., Carrara, I., Guetschel, P., Sedlar, S., Rodrigues, P., Sosulski, J., Narayanan, D., Bjareholt, E., Quentin, B., Schirrmeister, R. T.,Kalunga, E., Darmet, L., Gregoire, C., Abdul Hussain, A., Gatti, R., Goncharenko, V., Thielen, J., Moreau, T., Roy, Y., Jayaram, V., Barachant,A., & Chevallier, S.
+Aristimunha, B., Carrara, I., Guetschel, P., Sedlar, S., Rodrigues, P., Sosulski, J., Narayanan, D., Bjareholt, E., Barthelemy, Q., Schirrmeister, R. T.,Kalunga, E., Darmet, L., Gregoire, C., Abdul Hussain, A., Gatti, R., Goncharenko, V., Thielen, J., Moreau, T., Roy, Y., Jayaram, V., Barachant,A., & Chevallier, S.
 Mother of all BCI Benchmarks (MOABB), 2023. DOI: 10.5281/zenodo.10034223.
 ```
 and here is the Bibtex version:
 ```bibtex
 @software{Aristimunha_Mother_of_all_2023,
- author = {Aristimunha, Bruno and Carrara, Igor and Guetschel, Pierre and Sedlar, Sara and Rodrigues, Pedro and Sosulski, Jan and Narayanan, Divyesh and Bjareholt, Erik and Quentin, Barthelemy and Schirrmeister, Robin Tibor and Kalunga, Emmanuel and Darmet, Ludovic and Gregoire, Cattan and Abdul Hussain, Ali and Gatti, Ramiro and Goncharenko, Vladislav and Thielen, Jordy and Moreau, Thomas and Roy, Yannick and Jayaram, Vinay and Barachant, Alexandre and Chevallier, Sylvain},
+ author = {Aristimunha, Bruno and Carrara, Igor and Guetschel, Pierre and Sedlar, Sara and Rodrigues, Pedro and Sosulski, Jan and Narayanan, Divyesh and Bjareholt, Erik and Barthelemy, Quentin and Schirrmeister, Robin Tibor and Kalunga, Emmanuel and Darmet, Ludovic and Gregoire, Cattan and Abdul Hussain, Ali and Gatti, Ramiro and Goncharenko, Vladislav and Thielen, Jordy and Moreau, Thomas and Roy, Yannick and Jayaram, Vinay and Barachant, Alexandre and Chevallier, Sylvain},
  doi = {10.5281/zenodo.10034223},
  title = {{Mother of all BCI Benchmarks}},
  url = {https://github.com/NeuroTechX/moabb},

From 996adea9ea2b8704b6d09366a929b40f3513f374 Mon Sep 17 00:00:00 2001
From: Bru <a.bruno@aluno.ufabc.edu.br>
Date: Mon, 16 Sep 2024 18:42:13 +0200
Subject: [PATCH 10/14] V1.1.0 (#643)

* MNT changing the version

* MNT changing the version

* MNT changing the version in the citation

* MNT removing the changelog

* MNT changing the whats_new file

* MNT updating citation

* Fix including version notation

* Including none into whats_new.rst

* Increase version

* Increase version

* Adding kobler

* Updating the whats_new file

* Update moabb/datasets/alphawaves.py

* Update CITATION.cff

* fix: change to 1.0.1

* fix: add versionadded in doc string

* fix: revert to 1.1.0

* Update README.md

Co-authored-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>

---------

Signed-off-by: Bru <a.bruno@aluno.ufabc.edu.br>
Co-authored-by: Sylvain Chevallier <sylain.chevallier@universite-paris-saclay.fr>
Co-authored-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com>

From 5945c66385a4f6415553f48eafe0e7aad2fad34c Mon Sep 17 00:00:00 2001
From: Bru <a.bruno@aluno.ufabc.edu.br>
Date: Tue, 17 Sep 2024 14:17:15 +0200
Subject: [PATCH 11/14] V1.1.1 (#644)

* release 1.1.1

* increase the version

* increase the version

* removing the poetry.lock

* increase version

* changing the CITATION.cff

* upload versino for artifact

* pylock -> pyproject.toml
---
 .github/workflows/docs.yml             |    4 +-
 .github/workflows/test-braindecode.yml |    2 +-
 .github/workflows/test-devel.yml       |    2 +-
 .github/workflows/test.yml             |    2 +-
 CITATION.cff                           |    4 +-
 README.md                              |    8 +-
 docs/source/whats_new.rst              |   18 +-
 moabb/__init__.py                      |    2 +-
 poetry.lock                            | 3421 ------------------------
 pyproject.toml                         |    2 +-
 10 files changed, 27 insertions(+), 3438 deletions(-)
 delete mode 100644 poetry.lock

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 1e5f03511..797c20a87 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -62,7 +62,7 @@ jobs:
           path: .venv
           key:
             docsvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
-            hashFiles('**/poetry.lock') }}
+            hashFiles('**/pyproject.toml') }}
 
       - name: Install dependencies
         if: (steps.cached-poetry-dependencies.outputs.cache-hit != 'true')
@@ -76,7 +76,7 @@ jobs:
           cd docs && poetry run make html
 
       # Create an artifact of the html output.
-      - uses: actions/upload-artifact@v2
+      - uses: actions/upload-artifact@v4
         with:
           name: DocumentationHTML
           path: docs/build/html/
diff --git a/.github/workflows/test-braindecode.yml b/.github/workflows/test-braindecode.yml
index a6d89c121..481d6dbd0 100644
--- a/.github/workflows/test-braindecode.yml
+++ b/.github/workflows/test-braindecode.yml
@@ -63,7 +63,7 @@ jobs:
           path: .venv
           key:
             testvenv-braindecode-${{ matrix.os }}-py${{matrix.python-version}}-${{
-            hashFiles('**/poetry.lock') }}
+            hashFiles('**/pyproject.toml') }}
 
       - name: Install dependencies
         if: |
diff --git a/.github/workflows/test-devel.yml b/.github/workflows/test-devel.yml
index bbc542d21..92160916a 100644
--- a/.github/workflows/test-devel.yml
+++ b/.github/workflows/test-devel.yml
@@ -56,7 +56,7 @@ jobs:
           path: .venv
           key:
             testvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
-            hashFiles('**/poetry.lock') }}
+            hashFiles('**/pyproject.toml') }}
 
       - name: Install dependencies
         if: |
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 5d23fa0ac..5755f4c56 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -56,7 +56,7 @@ jobs:
           path: .venv
           key:
             testvenv-${{ matrix.os }}-py${{matrix.python-version}}-${{
-            hashFiles('**/poetry.lock') }}
+            hashFiles('**/pyproject.toml') }}
 
       - name: Install dependencies
         if: |
diff --git a/CITATION.cff b/CITATION.cff
index 12e1c2f0b..4aa2d08af 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -70,7 +70,7 @@ authors:
   given-names: "Sylvain"
   orcid: "https://orcid.org/0000-0003-3027-8241"
 title: "Mother of all BCI Benchmarks"
-version: 1.1.0
+version: 1.1.1
 doi: 10.5281/zenodo.10034223
-date-released: 2024-05-30
+date-released: 2024-09-16
 url: "https://github.com/NeuroTechX/moabb"
diff --git a/README.md b/README.md
index b8ba3f621..b319ef9cd 100644
--- a/README.md
+++ b/README.md
@@ -291,18 +291,18 @@ If you use MOABB in your experiments, please cite this library when
 publishing a paper to increase the visibility of open science initiatives:
 
 ```
-Aristimunha, B., Carrara, I., Guetschel, P., Sedlar, S., Rodrigues, P., Sosulski, J., Narayanan, D., Bjareholt, E., Barthelemy, Q., Schirrmeister, R. T.,Kalunga, E., Darmet, L., Gregoire, C., Abdul Hussain, A., Gatti, R., Goncharenko, V., Thielen, J., Moreau, T., Roy, Y., Jayaram, V., Barachant,A., & Chevallier, S.
+Aristimunha, B., Carrara, I., Guetschel, P., Sedlar, S., Rodrigues, P., Sosulski, J., Narayanan, D., Bjareholt, E., Barthelemy, Q., Reinmar, K., Schirrmeister, R. T.,Kalunga, E., Darmet, L., Gregoire, C., Abdul Hussain, A., Gatti, R., Goncharenko, V., Thielen, J., Moreau, T., Roy, Y., Jayaram, V., Barachant,A., & Chevallier, S.
 Mother of all BCI Benchmarks (MOABB), 2023. DOI: 10.5281/zenodo.10034223.
 ```
 and here is the Bibtex version:
 ```bibtex
-@software{Aristimunha_Mother_of_all_2023,
- author = {Aristimunha, Bruno and Carrara, Igor and Guetschel, Pierre and Sedlar, Sara and Rodrigues, Pedro and Sosulski, Jan and Narayanan, Divyesh and Bjareholt, Erik and Barthelemy, Quentin and Schirrmeister, Robin Tibor and Kalunga, Emmanuel and Darmet, Ludovic and Gregoire, Cattan and Abdul Hussain, Ali and Gatti, Ramiro and Goncharenko, Vladislav and Thielen, Jordy and Moreau, Thomas and Roy, Yannick and Jayaram, Vinay and Barachant, Alexandre and Chevallier, Sylvain},
+@software{Aristimunha_Mother_of_all,
+ author = {Aristimunha, Bruno and Carrara, Igor and Guetschel, Pierre and Sedlar, Sara and Rodrigues, Pedro and Sosulski, Jan and Narayanan, Divyesh and Bjareholt, Erik and Barthelemy, Quentin and Kobler, Reinmar and Schirrmeister, Robin Tibor and Kalunga, Emmanuel and Darmet, Ludovic and Gregoire, Cattan and Abdul Hussain, Ali and Gatti, Ramiro and Goncharenko, Vladislav and Thielen, Jordy and Moreau, Thomas and Roy, Yannick and Jayaram, Vinay and Barachant, Alexandre and Chevallier, Sylvain},
  doi = {10.5281/zenodo.10034223},
  title = {{Mother of all BCI Benchmarks}},
  url = {https://github.com/NeuroTechX/moabb},
  version = {1.1.0},
- year = {2023}
+ year = {2024}
  }
 ```
 If you want to cite the scientific contributions of MOABB, you could use the following paper:
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index fe246d754..40a3161b6 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -15,14 +15,24 @@ What's new
 Develop branch
 ----------------
 
+Enhancements
+~~~~~~~~~~~~
+
+Bugs
+~~~~
+
+API changes
+~~~~~~~~~~~
+
+Version - 1.1.1  (Stable - PyPi)
+---------------------------------
+
 Enhancements
 ~~~~~~~~~~~~
 - Add possibility to use OptunaGridSearch (:gh:`630` by `Igor Carrara`_)
 - Add scripts to upload results on PapersWithCode (:gh:`561` by `Pierre Guetschel`_)
 - Centralize dataset summary tables in CSV files (:gh:`635` by `Pierre Guetschel`_)
 - Add new dataset :class:`moabb.datasets.Liu2024` dataset (:gh:`619` by `Taha Habib`_)
-- Increasing the version in the pre-commit config (:gh:`631` by pre-commit bot)
-
 
 
 Bugs
@@ -35,8 +45,8 @@ API changes
 
 
 
-Version - 1.1.0  (Stable - PyPi)
----------------------------------
+Version - 1.1.0
+----------------
 
 
 Enhancements
diff --git a/moabb/__init__.py b/moabb/__init__.py
index ffbd9c309..0a84ce77c 100644
--- a/moabb/__init__.py
+++ b/moabb/__init__.py
@@ -1,5 +1,5 @@
 # flake8: noqa
-__version__ = "1.1.0"
+__version__ = "1.1.1"
 
 from .benchmark import benchmark
 from .utils import make_process_pipelines, set_download_dir, set_log_level, setup_seed
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 4bcfb8eba..000000000
--- a/poetry.lock
+++ /dev/null
@@ -1,3421 +0,0 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
-
-[[package]]
-name = "absl-py"
-version = "2.1.0"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
-    {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
-]
-
-[[package]]
-name = "accessible-pygments"
-version = "0.0.5"
-description = "A collection of accessible pygments styles"
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7"},
-    {file = "accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872"},
-]
-
-[package.dependencies]
-pygments = ">=1.5"
-
-[package.extras]
-dev = ["pillow", "pkginfo (>=1.10)", "playwright", "pre-commit", "setuptools", "twine (>=5.0)"]
-tests = ["hypothesis", "pytest"]
-
-[[package]]
-name = "alabaster"
-version = "0.7.16"
-description = "A light, configurable Sphinx theme"
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
-    {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
-]
-
-[[package]]
-name = "alembic"
-version = "1.13.2"
-description = "A database migration tool for SQLAlchemy."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"},
-    {file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"},
-]
-
-[package.dependencies]
-Mako = "*"
-SQLAlchemy = ">=1.3.0"
-typing-extensions = ">=4"
-
-[package.extras]
-tz = ["backports.zoneinfo"]
-
-[[package]]
-name = "arrow"
-version = "1.3.0"
-description = "Better dates & times for Python"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
-    {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
-]
-
-[package.dependencies]
-python-dateutil = ">=2.7.0"
-types-python-dateutil = ">=2.8.10"
-
-[package.extras]
-doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"]
-test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"]
-
-[[package]]
-name = "astunparse"
-version = "1.6.3"
-description = "An AST unparser for Python"
-optional = true
-python-versions = "*"
-files = [
-    {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
-    {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
-]
-
-[package.dependencies]
-six = ">=1.6.1,<2.0"
-wheel = ">=0.23.0,<1.0"
-
-[[package]]
-name = "babel"
-version = "2.15.0"
-description = "Internationalization utilities"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
-    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
-]
-
-[package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
-
-[[package]]
-name = "beautifulsoup4"
-version = "4.12.3"
-description = "Screen-scraping library"
-optional = false
-python-versions = ">=3.6.0"
-files = [
-    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
-    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
-]
-
-[package.dependencies]
-soupsieve = ">1.2"
-
-[package.extras]
-cchardet = ["cchardet"]
-chardet = ["chardet"]
-charset-normalizer = ["charset-normalizer"]
-html5lib = ["html5lib"]
-lxml = ["lxml"]
-
-[[package]]
-name = "braindecode"
-version = "0.8.1"
-description = "Deep learning software to decode EEG, ECG or MEG signals"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "braindecode-0.8.1-py3-none-any.whl", hash = "sha256:6c2a571095a6ca366ade93a1a12bafce3225ce7d395eca6f7e2eb66edb5dd7da"},
-    {file = "braindecode-0.8.1.tar.gz", hash = "sha256:e80515c3d20a80f16800770936d1eb0012de15830a8175dce376256bdaf928e7"},
-]
-
-[package.dependencies]
-docstring-inheritance = "*"
-einops = "*"
-h5py = "*"
-joblib = "*"
-matplotlib = "*"
-mne = "*"
-numpy = "*"
-pandas = "*"
-scipy = "*"
-skorch = "*"
-torch = "*"
-torchinfo = "*"
-
-[package.extras]
-docs = ["ipython", "lightning", "memory-profiler", "numpydoc", "pillow", "pre-commit", "pydata-sphinx-theme", "seaborn", "sphinx-design", "sphinx-gallery", "sphinx-rtd-theme"]
-moabb = ["moabb (>=1.0.0)"]
-tests = ["codecov", "pytest", "pytest-cases", "pytest-cov"]
-
-[[package]]
-name = "certifi"
-version = "2024.6.2"
-description = "Python package for providing Mozilla's CA Bundle."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
-    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
-]
-
-[[package]]
-name = "cfgv"
-version = "3.4.0"
-description = "Validate configuration and produce human readable error messages."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
-    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
-]
-
-[[package]]
-name = "charset-normalizer"
-version = "3.3.2"
-description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-optional = false
-python-versions = ">=3.7.0"
-files = [
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-    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664"},
-    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f"},
-    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537"},
-    {file = "wrapt-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3"},
-    {file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
-    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
-    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
-]
-
-[[package]]
-name = "zipp"
-version = "3.19.2"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
-    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
-]
-
-[package.extras]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
-
-[extras]
-carbonemission = ["codecarbon"]
-deeplearning = ["braindecode", "docstring_inheritance", "keras", "libclang", "scikeras", "tensorflow", "torch"]
-optuna = ["optuna", "optuna-integration"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = ">=3.9,<3.13"
-content-hash = "457c398dead63c554bd2b3fd7950acfa655fd776a26383750d35249d34711d0c"
diff --git a/pyproject.toml b/pyproject.toml
index 48c63b2b5..46affcada 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "moabb"
-version = "1.1.0"
+version = "1.1.1"
 description = "Mother of All BCI Benchmarks"
 authors = ["Alexandre Barachant", "Vinay Jayaram"]
 maintainers = ["Sylvain Chevallier <sylvain.chevallier@universite-paris-saclay.fr>"]

From 0ee8eb6e59ab97c2b6af519e794949981750113b Mon Sep 17 00:00:00 2001
From: Sara Sedlar <sara.sedlar@gmail.com>
Date: Tue, 17 Sep 2024 18:00:29 +0200
Subject: [PATCH 12/14] Update README.md (#646)

Hello,

I am removing my name from the list of maintainers. I hope there will be opportunities to contribute to MOABB in the future.

Wishing you all the best in your future work.
---
 docs/source/README.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/docs/source/README.md b/docs/source/README.md
index 25a16bb1f..5e205b8da 100644
--- a/docs/source/README.md
+++ b/docs/source/README.md
@@ -82,7 +82,6 @@ The project is currently maintained by:
       <th>Bruno Aristimunha</th>
       <th>Igor Carrara</th>
       <th>Pierre Guetschel</th>
-      <th>Sara Sedlar</th>
     </tr>
   </thead>
   <tbody>
@@ -91,7 +90,6 @@ The project is currently maintained by:
       <td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/42702466?s=150&amp;v=4" alt="Bruno Aristimunha"></td>
       <td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/94047258?s=150&amp;v=4" alt="Igor Carrara"></td>
       <td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/25532709?s=150&amp;v=4" alt="Pierre Guetschel"></td>
-      <td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/5344945?s=150&amp;v=4" alt="Sara Sedlar"></td>
 </tr>
   </tbody>
 </table>
@@ -230,7 +228,6 @@ the link on the gitter channel. We are also on NeuroTechX Slack channel
 [link_bruno]: https://www.linkedin.com/in/bruaristimunha/
 [link_igor]: https://www.linkedin.com/in/carraraig/
 [link_pierre]: https://www.linkedin.com/in/pierreguetschel/
-[link_sara]: https://www.linkedin.com/in/sara-sedlar-28709893/
 [link_neurotechx_signup]: https://neurotechx.com/
 [link_gitter]: https://app.gitter.im/#/room/#moabb_dev_community:gitter.im
 [link_moabb_docs]: https://neurotechx.github.io/moabb/

From 40c22a3452bdf14f34c88f1049e912954afcb38f Mon Sep 17 00:00:00 2001
From: Martin Wimpff <42936990+martinwimpff@users.noreply.github.com>
Date: Thu, 26 Sep 2024 15:31:48 +0200
Subject: [PATCH 13/14] bugfixes in Stieger2021 (#651)

* bugfixes in Stieger2021

https://github.com/NeuroTechX/moabb/issues/650

Signed-off-by: Martin Wimpff <42936990+martinwimpff@users.noreply.github.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Update whats_new.rst

Signed-off-by: Martin Wimpff <42936990+martinwimpff@users.noreply.github.com>

---------

Signed-off-by: Martin Wimpff <42936990+martinwimpff@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---
 docs/source/whats_new.rst     |  2 ++
 moabb/datasets/stieger2021.py | 13 +++++++++----
 2 files changed, 11 insertions(+), 4 deletions(-)

diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 40a3161b6..2ae601cc8 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -21,6 +21,8 @@ Enhancements
 Bugs
 ~~~~
 
+- Fix Stieger2021 dataset bugs (:gh:`651` by `Martin Wimpff`_)
+
 API changes
 ~~~~~~~~~~~
 
diff --git a/moabb/datasets/stieger2021.py b/moabb/datasets/stieger2021.py
index ae9305857..808e4ccb3 100644
--- a/moabb/datasets/stieger2021.py
+++ b/moabb/datasets/stieger2021.py
@@ -227,8 +227,9 @@ def _get_single_subject_data(self, subject):
                     and (container.TrialData[i].triallength + 2) > self.interval[1]
                 ):
                     # this should be the cue time-point
-                    if container.time[i][2 * srate] == 0:
-                        raise ValueError("This should be the cue time-point,")
+                    assert (
+                        container.time[i][2 * srate] == 0
+                    ), "This should be the cue time-point"
                     stim[2 * srate] = y
                 X_flat.append(x)
                 stim_flat.append(stim[None, :])
@@ -263,7 +264,11 @@ def _get_single_subject_data(self, subject):
                 badchanidxs = []
 
             for idx in badchanidxs:
-                used_channels = ch_names if self.channels is None else self.channels
+                used_channels = (
+                    ch_names
+                    if (not hasattr(self, "channels") or self.channels is None)
+                    else self.channels
+                )
                 if eeg_ch_names[idx - 1] in used_channels:
                     raw.info["bads"].append(eeg_ch_names[idx - 1])
 
@@ -276,5 +281,5 @@ def _get_single_subject_data(self, subject):
                     bad_info=raw.info["bads"],
                 )
 
-            subject_data[session] = {"run_0": raw}
+            subject_data[str(session)] = {"0": raw}
         return subject_data

From ca79b9016ab99b4a76df882fdbb5d49da13106af Mon Sep 17 00:00:00 2001
From: Bru <a.bruno@aluno.ufabc.edu.br>
Date: Fri, 27 Sep 2024 16:17:38 +0200
Subject: [PATCH 14/14] FIX: unpinning major version pandas and numpy (#652)

* FIX: unpinning major version

* DOC: updating whats_new.rst
---
 docs/source/whats_new.rst | 2 ++
 pyproject.toml            | 4 ++--
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 2ae601cc8..660b5bf24 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -22,6 +22,7 @@ Bugs
 ~~~~
 
 - Fix Stieger2021 dataset bugs (:gh:`651` by `Martin Wimpff`_)
+- Unpinning major version Scikit-learn and numpy (:gh:`652` by `Bruno Aristimunha`_)
 
 API changes
 ~~~~~~~~~~~
@@ -463,6 +464,7 @@ Bugs
 API changes
 ~~~~~~~~~~~
 - None
+.. _Martin Wimpff: https://github.com/martinwimpff
 .. _Reinmar Kobler: https://github.com/rkobler
 .. _Gabriel Schwartz: https://github.com/Kaos9001
 .. _Sara Sedlar: https://github.com/Sara04
diff --git a/pyproject.toml b/pyproject.toml
index 46affcada..88f69868b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,10 +13,10 @@ license = "BSD-3-Clause"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<3.13"
-numpy = "^1.22"
+numpy = ">=1.22"
 scipy = "^1.9.3"
 mne = "^1.7.0"
-pandas = "^1.5.2"
+pandas = ">=1.5.2"
 h5py = "^3.10.0"
 scikit-learn = ">=1.4.2"
 matplotlib = "^3.6.2"