datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AIRBOT_MMK2_the_cup_is_put_into_the_bucket
AIRBOT_MMK2_the_cup_is_put_into_the_bucket
📋 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… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_the_cup_is_put_into_the_bucket.Two_Cubes_and_Two_Buckets_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 20,
"total_frames": 12898,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"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/Hupy440/Two_Cubes_and_Two_Buckets_v1.Two_Cubes_and_Two_Buckets_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 50,
"total_frames": 31103,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/Hupy440/Two_Cubes_and_Two_Buckets_v2.One_Cube_Two_colours_and_Two_Buckets_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 25,
"total_frames": 12871,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:25"},
"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/Hupy440/One_Cube_Two_colours_and_Two_Buckets_v1.photo-concept-bucket
Photo Concept Bucket
The purpose of this dataset was to distribute a high quality, free-to-use dataset containing samples that require no attribution and have an open license.
All of the images were captioned in a cluster containing:
38x 3090 24G
6x 4090 24G
8x A5000 24G
2x A100 80G
A couple volunteers running a 3090 or 4090.
The model was running in fp8 precision using 🤗Transformers and 🤗Accelerate for easy multi-GPU captioning.
The captioning was spread across 10 different… See the full description on the dataset page: https://huggingface.co/datasets/bghira/photo-concept-bucket.Multi_Cube_colours_multi_Buckets_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 3,
"total_frames": 1527,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"},
"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/Hupy440/Multi_Cube_colours_multi_Buckets_v1.bucket_60traj_teleop_zion_lerobot_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "g1_upper_body",
"total_episodes": 59,
"total_frames": 21590,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:59"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/jjang318/bucket_60traj_teleop_zion_lerobot_v2.franka_cube_in_bucket_251211owt-bucket
OWT GPT-2 sentence segments (buckets 256 / 512 / 1024 / 2048)
Tokenized sentence/paragraph segments of OpenWebText (Skylion007/openwebtext, revision main), encoded with GPT-2 BPE plus three extra special tokens, then assigned to length buckets.
This repository is a derived dataset. It does not rediscover or replace the original text corpus. Every input_ids sequence comes from documents in OpenWebText.
Packaging / conversion code & this card: MIT (see LICENSE)
Underlying web… See the full description on the dataset page: https://huggingface.co/datasets/fengluoqiuwu/owt-bucket.collapsed-bucket-transfer-v1-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1
This dataset combines V9 direct-context rows with every eligible numeric Stage-06 indirect
pair bucket retaining at least 20 proper-train parents. Direct validation and test rankings
reuse V9 exactly. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1-bioavailability-ma-numeric-intern.collapsed-bucket-transfer-v1.1-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1.1
This indirect-only dataset contains every eligible numeric Stage-06 pair bucket retaining at least 20 proper-train parents. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced references per query.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1.1-bioavailability-ma-numeric-intern.collapsed-bucket-transfer-v1-skin-reaction-numeric-intern
Skin_Reaction collapsed-bucket transfer v1
This dataset combines V9 direct-context rows with every eligible numeric Stage-06 indirect
pair bucket retaining at least 20 proper-train parents. Direct validation and test rankings
reuse V9 exactly. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1-skin-reaction-numeric-intern.collapsed-bucket-transfer-v1-bbb-martins-numeric-intern
BBB_Martins collapsed-bucket transfer v1
This dataset combines V9 direct-context rows with every eligible numeric Stage-06 indirect
pair bucket retaining at least 20 proper-train parents. Direct validation and test rankings
reuse V9 exactly. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1-bbb-martins-numeric-intern.place_coffee_holder_in_bucketThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "yam_follower_dual",
"total_episodes": 1,
"total_frames": 1221,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/robots123/place_coffee_holder_in_bucket.gsm8k-platinum-openinstruct-qwen2.5-0.5b-instruct-1024samples-pass1-bucketsso101_cube_bucket_130This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/VoicAndrei/so101_cube_bucket_130.collapsed-bucket-transfer-v1.1.1-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1.1.1
This indirect-only dataset contains every eligible numeric Stage-06 pair bucket retaining at least 20 proper-train parents. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced references per query.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1.1.1-bioavailability-ma-numeric-intern.collapsed-bucket-transfer-v1.1.3-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1.1.3
This indirect-only dataset contains every eligible numeric Stage-06 pair bucket retaining at least 20 proper-train parents. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced references per query.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1.1.3-bioavailability-ma-numeric-intern.collapsed-bucket-transfer-v1.1.4-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1.1.4
This indirect-only dataset contains every eligible numeric Stage-06 pair bucket retaining at least 20 proper-train parents. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced references per query.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1.1.4-bioavailability-ma-numeric-intern.collapsed-bucket-transfer-v1.1.2-bioavailability-ma-numeric-intern
Bioavailability_Ma collapsed-bucket transfer v1.1.2
This indirect-only dataset contains every eligible numeric Stage-06 pair bucket retaining at least 20 proper-train parents. Indirect validation is held out from source train, while indirect test uses
the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest
proper-train parents. Oral-exposure training uses 10 balanced references per query.
Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1.1.2-bioavailability-ma-numeric-intern.eval_red_piece_to_orange_bucketThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 289,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/EnrikDS/eval_red_piece_to_orange_bucket.pick_and_place_toy_to_bucketmulti3k-de-en-bucketed-w4wmt14-de-en-bucketed-w4three-color-cube-to-bucket-handoffThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so100_follower",
"total_episodes": 21,
"total_frames": 17281,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:21"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/samarthmahapatra/three-color-cube-to-bucket-handoff.sock-in-bucket-v1_20260729_081214This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/Shabimlaa/sock-in-bucket-v1_20260729_081214.wmt14-de-en-bucketed-no-hospital-200k4multi30k-de-en-500-seed5-bucketed-w4multi30k-de-en-500-seed123-bucketed-w4bucketball
bucketball
This dataset was generated using a phospho starter pack.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.