datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quickdraw-calvin-d-d
QuickDraw CALVIN D-to-D
The official six-hour CALVIN environment-D play corpus, repackaged as LeRobot v2.1 for QuickDraw.
Splits are made only at native rollout boundaries. train and validation are a deterministic
90/10 partition of upstream training rollouts; eval_offline preserves the official validation
recordings. CALVIN's standard online D-to-D benchmark remains simulator evaluation.
Each frame contains the unchanged 39-dimensional robot-plus-scene state, unchanged… See the full description on the dataset page: https://huggingface.co/datasets/madang6/quickdraw-calvin-d-d.quickdraw-robocasa-scene4-4h
QuickDraw RoboCasa Scene 4 Eight-Task Composite (4h)
This dataset contains 4.008 hours of RoboCasa expert demonstrations in one
exact kitchen environment: layout 4, style 4. It is packaged as a LeRobot v2.1
training split.
What is in every episode?
Every episode contains the combined object inventories of the same eight
selected tasks:
DeliverStraw
GatherTableware
GetToastedBread
HeatKebabSandwich
LoadDishwasher
MakeIceLemonade
PrepareCoffee
WashFruitColander… See the full description on the dataset page: https://huggingface.co/datasets/madang6/quickdraw-robocasa-scene4-4h.quick332323_2025-08-14T15-33-34This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1788,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"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/opstechie/quick332323_2025-08-14T15-33-34.awall-pi-victim-panel
Awall PI Victim Panel
Cada prompt do quickium/awall-pi-quartets
foi submetido a 5 LLMs locais, e o que eles responderam foi julgado. É o dataset que diz não só
"isto é um ataque", mas "este ataque funciona contra quem".
Painel: tinyllama_1_1b, gemma3_1b, qwen2_5_1_5b, gemma2_2b, llama3_2_3b.
Veredito por resposta: normal · refused · injected (+ sinal de leak).
Três configs — o mesmo dado, três formatos
config
linhas
uma linha é
quando usar
by-prompt… See the full description on the dataset page: https://huggingface.co/datasets/quickium/awall-pi-victim-panel.quick-plastic-ac79aa
quick-plastic-ac79aa
Synthetic products test data: 52 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/sotaroyoshida/quick-plastic-ac79aa.awall-pi-strategy-views
Awall PI Strategy Views
4.551 linhas (1.342 âncoras) — um subconjunto do
quickium/awall-pi-quartets em que
cada prompt ganhou quatro descrições textuais geradas por LLM, olhando o mesmo ataque por
ângulos diferentes.
view
mediana
o que descreve
strategy_desc
279 chars
a técnica do prompt, direta
strategy_esp
349 chars
a técnica em contraste com a população de prompts parecidos
strategy_alt
476 chars
a leitura alternativa — como o prompt se defenderia de ser ataque… See the full description on the dataset page: https://huggingface.co/datasets/quickium/awall-pi-strategy-views.eval_pick_single_cube_so101_181_eps_act_quick_checkThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 3,
"total_frames": 1471,
"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/zaringleb/eval_pick_single_cube_so101_181_eps_act_quick_check.download_quickbi_so100_quick_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_so100_maniskill",
"total_episodes": 2,
"total_frames": 553,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/Nostalld/bi_so100_quick_test.quick_test0004This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "mqtt_robot",
"total_episodes": 2,
"total_frames": 1182,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/dashuai2025/quick_test0004.Quick_test_quick_2025-08-13T15-04-32This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1921,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"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/opstechie/Quick_test_quick_2025-08-13T15-04-32.Quick_test_quick77_2025-08-13T23-20-40This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1921,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"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/opstechie/Quick_test_quick77_2025-08-13T23-20-40.quick_test0002This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "mqtt_robot",
"total_episodes": 1,
"total_frames": 882,
"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/dashuai2025/quick_test0002.mock_so100_quicktest_v8This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 3,
"total_frames": 642,
"total_tasks": 1,
"total_videos": 0,
"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": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/irishata/mock_so100_quicktest_v8.quicktest_hackathon_test2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 7,
"total_frames": 2239,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:7"
},
"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/y-prudent/quicktest_hackathon_test2.ctr_quicktest_20260423This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "ctr_robot",
"total_episodes": 1,
"total_frames": 345,
"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/Sendera/ctr_quicktest_20260423.quickp51_quickp3_quickp5_quickzeteov1toss-dacon-tabtx-quick10k-trainp2_quickp4_quickp6_quickp7_quicktoss-dacon-tabtx-quick10k-test