datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dataset-notebook-creator-contentNotebook_Scriptsissues-kaggle-notebooks
GitHub Issues & Kaggle Notebooks
Description
GitHub Issues & Kaggle Notebooks is a collection of two code datasets intended for language models training, they are sourced from GitHub issues and notebooks in Kaggle platform. These datasets are a modified part of the StarCoder2 model training corpus, precisely the bigcode/StarCoder2-Extras dataset. We reformat the samples to remove StarCoder2's special tokens and use natural text to delimit comments in issues and display… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/issues-kaggle-notebooks.notebooksJupyter notebooks and supporting code
school_notebooks_RU
School Notebooks Dataset
The images of school notebooks with handwritten notes in Russian.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
Annotation format
The annotation is in COCO format. The annotation.json should have the following dictionaries:
annotation["categories"] - a list of dicts with a categories info (categotiy names and indexes).
annotation["images"] - a… See the full description on the dataset page: https://huggingface.co/datasets/ai-forever/school_notebooks_RU.AIRBOT_MMK2_open_notebook
AIRBOT_MMK2_open_notebook
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
open
hold
📊 Dataset Statistics
Metric
Value
Total… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_open_notebook.clean_notebooks
Dataset Card for "clean_notebooks"
More Information needed
notebooksnotebooklm-sample
Gathering of some NotebookLM podcast shared on reddit/twitter
Diarization:
Speaker_0 is the man
Speaker_1 is the woman
Less good quality:
JPOAhdxhooalu7_p
Ra-Ds39sW_6WNRf7
notebooksmatrixpfn-notebooks
MatrixPFN Notebooks
Executable Colab notebooks for MatrixPFN — Graph Neural Networks as learned preconditioners for sparse linear systems.
Notebooks
Notebook
Description
07_MatrixPFN_EndToEnd.ipynb
Full pipeline: train ContextResGCN, benchmark against Jacobi, solve with FGMRES
colab_benchmark.ipynb
SuiteSparse benchmark: 838/867 matrices × 6 classical preconditioners (ILU, AMG, Jacobi, Block Jacobi, GMRES-Inner, None)
ablation_edge_features_v3.ipynb… See the full description on the dataset page: https://huggingface.co/datasets/Csed-dev/matrixpfn-notebooks.kaggle-notebooks-conversationsclean_notebooks_labeled
Dataset Card for "clean_notebooks_labeled"
More Information needed
kaggle-notebooks-outputs-filtered-38kaggle-notebooks-outputs-filtered-40kaggle-notebooks-outputs-filtered-51meta-kaggle-notebook-batch-0kaggle-notebooks-outputs-filtered-41UMI_robros_notebook_20260912_002301This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_ee.x",
"left_ee.y",
"left_ee.z",
"left_ee.qx",
"left_ee.qy",
"left_ee.qz",
"left_ee.qw",
"right_ee.x"… See the full description on the dataset page: https://huggingface.co/datasets/Inhachoi/UMI_robros_notebook_20260912_002301.notebookCDG
notebookCDG
This dataset designed for a recent published paper(HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks) EMNLP'21 Finding.
You can directly use dataset_notebook.pkl to run the code from the github repository
In the repository, we split ground truth documentation split into coms.train, coms.val, and coms.test subsets, following a 8:1:1 ratio. ast_nodes.pkl and ast_edges.pkl are the graph input… See the full description on the dataset page: https://huggingface.co/datasets/xuyeliu/notebookCDG.kaggle-notebooks-outputs-filtered-50kaggle-notebooks-outputs-filtered-14kaggle-notebooks-outputs-filtered-55kaggle-notebooks-outputs-filtered-10agilex_pick_pen_on_notebookThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5_bimanual",
"total_episodes": 20,
"total_frames": 6727,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 25,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/agilex_pick_pen_on_notebook.kaggle-notebooks-outputs-filtered-19kaggle-notebooks-outputs-filtered-44kaggle-notebooks-outputs-filtered-52kaggle-notebooks-edu-v0
Kaggle Notebooks LLM Filtered
Model: meta-llama/Meta-Llama-3.1-70B-Instruct
Sample: 12,400
Source dataset: data-agents/kaggle-notebooks
Prompt:
Below is an extract from a Jupyter notebook. Evaluate whether it has a high analysis value and could help a data scientist.
The notebooks are formatted with the following tokens:
START
<text block>
# Here comes markdown content
<input block>
<lang python>
# Here comes python code
<output block>
# Here comes code output
# More… See the full description on the dataset page: https://huggingface.co/datasets/jupyter-agent/kaggle-notebooks-edu-v0.kaggle-notebooks-outputs-filtered-37