datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Tokenized_datasetTokenized_dataset_noTextCodeText_datasetRed_Queen
♛ RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
Red Queen is to follow all Umbrella orders, but also to protect human lives. — Resident Evil
The rapid progress of Large Language Models (LLMs) has unlocked new possibilities but also heightened the risk of misuse. Red teaming, commonly used to probe harmful outputs via jailbreak attacks, has mostly focused on single-turn interactions with explicit malicious queries, which do not fully reflect… See the full description on the dataset page: https://huggingface.co/datasets/YifanJ/Red_Queen.queensland-ai-meetup-sft-v2media_queen_entertaiment_voices
Media Queen Entertainment Voices
Where the stars speak, and their stories come to life.
Media Queen Entertainment Voices is a massive, large-scale collection of 190,013 short audio segments (totaling approximately 125 hours of speech) derived from public videos by Media Queen Entertainment — a prominent digital media channel in Myanmar focused on celebrity news, lifestyle content, and in-depth interviews.
The source channel regularly features:
Interviews with artists, actors… See the full description on the dataset page: https://huggingface.co/datasets/freococo/media_queen_entertaiment_voices.queen_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 59,
"total_frames": 19884,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:59"
},
"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/Zobser/queen_v2.queen_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 60,
"total_frames": 20210,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"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/Zobser/queen_v1.Webmath_datasetqueen_elizabeth_azurlane
Dataset of queen_elizabeth/クイーン・エリザベス/伊丽莎白女王 (Azur Lane)
This is the dataset of queen_elizabeth/クイーン・エリザベス/伊丽莎白女王 (Azur Lane), containing 335 images and their tags.
The core tags of this character are blonde_hair, long_hair, blue_eyes, crown, bow, hairband, mini_crown, hair_bow, bangs, black_hairband, fang, breasts, white_bow, small_breasts, very_long_hair, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/queen_elizabeth_azurlane.swe-agent-subset-selection-vectors
Trajectory embeddings for "Trajectory-Aware Benchmark Subset Selection for Cost-Efficient Software Engineering Agent Regression Testing"
This repository holds the embeddings of sanitized agent trajectories used in the paper named above. They are the
input of the selection stage of the paper's replication package:
https://github.com/SAILResearch/swe-agent-subset-selection
Publishing the vectors spares users the embedding step, which takes between several hours and several days… See the full description on the dataset page: https://huggingface.co/datasets/Mahmoud-queens/swe-agent-subset-selection-vectors.king_queen_costumeinstagram-video-downloader-audit
Instagram Video Downloader Disclosure Audit
This dataset records a manual disclosure audit of ten eligible Google web results for the query instagram video download. The observations were captured on 2026-09-14 using an English interface, United States result settings (gl=us), and disabled search personalization.
The sample consists of seven eligible results from the first result page and the first three eligible results from the second page. Search ads, video modules, and… See the full description on the dataset page: https://huggingface.co/datasets/Queena34/instagram-video-downloader-audit.gram-n-queens
GRAM N-Queens Dataset
A replication of the N-Queens dataset from Generative Recursive Reasoning Models (GRAM) (Baek et al., ICLR 2026 Workshop on AI with Recursive Self-Improvement), Appendix E.1.1.
Dataset Summary
This is a partial-completion variant of the N-Queens problem: given a chessboard with some queens already placed, complete the configuration so that no two queens attack each other. The dataset is designed for evaluating recursive reasoning models on constraint… See the full description on the dataset page: https://huggingface.co/datasets/brozonoyer/gram-n-queens.pick-data-queen-1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 29,
"total_frames": 4164,
"total_tasks": 1,
"total_videos": 29,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:29"
},
"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/HovorunB/pick-data-queen-1.drop-data-queen-3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 22,
"total_frames": 2673,
"total_tasks": 1,
"total_videos": 22,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:22"
},
"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/HovorunB/drop-data-queen-3.Ritapick_up_queen_1756865674This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "arduino_robot",
"total_episodes": 5,
"total_frames": 6013,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:5"
},
"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/joenewbry/pick_up_queen_1756865674.drop-data-queen-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 9,
"total_frames": 1504,
"total_tasks": 1,
"total_videos": 9,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:9"
},
"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/HovorunB/drop-data-queen-2.Queen_Marika_Dataset_RAWpick-data-queen-3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 12,
"total_frames": 1693,
"total_tasks": 1,
"total_videos": 12,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:12"
},
"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/HovorunB/pick-data-queen-3.drop-data-queen-4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 34,
"total_frames": 4253,
"total_tasks": 1,
"total_videos": 34,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:34"
},
"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/HovorunB/drop-data-queen-4.king_queen5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 4,
"total_frames": 3411,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:4"
},
"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/PranayTest/king_queen5.queen_camera_test_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 1,
"total_frames": 298,
"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/Zobser/queen_camera_test_v1.pick-data-queen-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 25,
"total_frames": 3675,
"total_tasks": 1,
"total_videos": 25,
"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/HovorunB/pick-data-queen-2.QueEnFan_CorpusQueen_Marika_Tagged_WDV3Pes2ov3_datasetQueen_to_C
Queen_to_C
This dataset was generated using phosphobot.
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.
To get started in robotics, get your own phospho starter pack..
drop-data-queen
drop-data-queen
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.