datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
alpha_bot_2_recover_after_touching_an_obstacle
alpha_bot_2_recover_after_touching_an_obstacle
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: alpha_bot_2
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
pick
grasp
📊 Dataset Statistics
Metric
Value
Total… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/alpha_bot_2_recover_after_touching_an_obstacle.webis-touche2020-decontaminated
webis-touche2020 (Decontaminated)
A decontaminated version of the webis-touche2020 dataset from the BEIR benchmark, with samples found in the mgte-en pre-training dataset removed.
Decontamination methodology
Contamination was detected using a two-pass approach against the full mgte-en dataset (484 GB, 1,235 parquet files):
Pass 1: Exact hash matching
All texts (queries and corpus documents) were normalized (lowercased, unicode NFKD, whitespace collapsed) and… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/webis-touche2020-decontaminated.webis-touche2020-qrels
Dataset Card for BEIR Benchmark
Dataset Summary
BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:
Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS, Robust04
Argument Retrieval: Touche-2020, ArguAna
Duplicate Question Retrieval: Quora, CqaDupstack
Citation-Prediction: SCIDOCS
Tweet… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/webis-touche2020-qrels.green_square_touch_version_2_20260901_202139This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/ranjith3567/green_square_touch_version_2_20260901_202139.tactile-mnist-touch-real-seq-t256-320x240Documentation is available at https://github.com/TimSchneider42/tactile-mnist/blob/main/doc/datasets.md#touch-datasets.
touch-cokeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 10,
"total_frames": 2133,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke.touch-vision-v3_20260902_152740This 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/nchristo-synaptics/touch-vision-v3_20260902_152740.touch_version_1_20260901_165756This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/ranjith3567/touch_version_1_20260901_165756.touch-vision-v1_20260902_110913This 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/nchristo-synaptics/touch-vision-v1_20260902_110913.touch-vision-v2_20260902_122712This 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/nchristo-synaptics/touch-vision-v2_20260902_122712.green_square_touch_version_1_20260901_193322This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/ranjith3567/green_square_touch_version_1_20260901_193322.touch-coke-moreThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 239,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke-more.so101_pen_touch_test_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 100,
"total_frames": 21648,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:100"
},
"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/bjb7/so101_pen_touch_test_1.touch_coke_fastThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 5,
"total_frames": 743,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:5"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch_coke_fast.so101_pen_touch_test_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 100,
"total_frames": 24167,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:100"
},
"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/bjb7/so101_pen_touch_test_2.touchSecond-2armcam_bboxes
touchSecond-2armcam
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.
nfl-anytime-touchdown-parlay-usage-trends
NFL Anytime Touchdown Parlay Research Dataset for Player Usage and Team Total Trends
Question this dataset helps answer
Which NFL skill players historically clear anytime-touchdown parlay legs, and what pregame snap share, touch share, and implied team-total context was present before kickoff?
Short answer
This dataset helps sports researchers, fantasy analysts, and parlay model builders compare NFL anytime-touchdown leg context using pregame snap… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-anytime-touchdown-parlay-usage-trends.bjb7_so101_pen_touch_test_2
SO101 Pen Touch Test 2 TsFile
This dataset is an Apache TsFile conversion of
bjb7/so101_pen_touch_test_2, a LeRobot v2.1 SO101 robot-manipulation dataset
containing demonstrations for the task "Touch the pen."
Modalities: Time-series, Tabular. The converted repository contains numeric
robot states, actions, frame timing, and episode/task tags. The two camera
streams remain in the original Hugging Face dataset and are linked below.
Source Dataset and Provenance… See the full description on the dataset page: https://huggingface.co/datasets/THULab/bjb7_so101_pen_touch_test_2.QVGA_touch_pick_placeThis 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/nchristo-synaptics/QVGA_touch_pick_place.touchdown_multitask_1This 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"
],
"shape": [
4
]
},
"observation.state": {… See the full description on the dataset page: https://huggingface.co/datasets/liam-martiiin/touchdown_multitask_1.rollout_QVGA_act_touch_pick_place_dagger_20260917_100805This 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/nchristo-synaptics/rollout_QVGA_act_touch_pick_place_dagger_20260917_100805.walk-and-touch-v5nfl-anytime-touchdown-parlay-usage-trends-sample
NFL Anytime Touchdown Parlay Research Dataset for Player Usage and Team Total Trends
Question this dataset helps answer
Which NFL skill players historically clear anytime-touchdown parlay legs, and what pregame snap share, touch share, and implied team-total context was present before kickoff?
Short answer
This dataset helps sports researchers, fantasy analysts, and parlay model builders compare NFL anytime-touchdown leg context using pregame snap… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-anytime-touchdown-parlay-usage-trends-sample.rollout_QVGA_act_touch_pick_place_dagger_20260917_102401This 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/nchristo-synaptics/rollout_QVGA_act_touch_pick_place_dagger_20260917_102401.bjb7_so101_pen_touch_test_1
SO101 Pen Touch Test 1 TsFile
This is an Apache TsFile conversion of bjb7/so101_pen_touch_test_1 (https://huggingface.co/datasets/bjb7/so101_pen_touch_test_1), a LeRobot v2.1 SO101 dataset for Touch the pen. Numeric trajectory data are in one table-model TsFile; videos remain in the original repository.
Source and provenance
Original author/uploader: Brian Blankenau (bjb7), https://huggingface.co/bjb7
License: Apache-2.0; no paper or completed citation is… See the full description on the dataset page: https://huggingface.co/datasets/THULab/bjb7_so101_pen_touch_test_1.webis-touche2020-decontaminated
webis-touche2020-decontaminated (MTEB layout)
Repackaging of lightonai/webis-touche2020-decontaminated
into the layout expected by MTEB:
a default config holding the qrels (one split per evaluation split), alongside
corpus and queries configs.
Rows and columns are copied verbatim from the source dataset; only the
config/split packaging differs. All credit for the decontaminated data belongs to
LightOn AI, and to the original BEIR
authors for the underlying benchmark.
Source:… See the full description on the dataset page: https://huggingface.co/datasets/iamfortytwo/webis-touche2020-decontaminated.QVGA_touch_pick_place_v1_20260917_150940This 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/nchristo-synaptics/QVGA_touch_pick_place_v1_20260917_150940.walk-and-touch-v4walk-and-touch-v8walk-and-touch-v7