datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
issues-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.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… 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
clean_notebooks_labeled
Dataset Card for "clean_notebooks_labeled"
More Information needed
kaggle-notebooks-outputs-filtered-38kaggle-notebooks-conversationskaggle-notebooks-outputs-filtered-40kaggle-notebooks-outputs-filtered-41kaggle-notebooks-outputs-filtered-14kaggle-notebooks-outputs-filtered-10kaggle-notebooks-outputs-filtered-55kaggle-notebooks-outputs-filtered-19kaggle-notebooks-outputs-filtered-52UMI_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.kaggle-notebooks-outputs-filtered-53kaggle-notebooks-outputs-filtered-44kaggle-notebooks-outputs-filtered-30kaggle-notebooks-outputs-filtered-46kaggle-notebooks-outputs-filtered-51kaggle-notebooks-outputs-filtered-37kaggle-notebooks-outputs-filtered-12kaggle-notebooks-outputs-filtered-35kaggle-notebooks-outputs-filtered-22kaggle-notebooks-outputs-filtered-36agilex_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-27kaggle-notebooks-outputs-filtered-39kaggle-notebooks-outputs-filtered-21kaggle-notebooks-outputs-filtered-33kaggle-notebooks-outputs-filtered-26
