datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yande_illust_rollinghle-rolling
[!NOTE]
IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset.
[!NOTE]
HLE-Rolling is a dynamic fork of the original HLE dataset that is continually updated with feedback from the research community. We also replaced some easy questions with harder questions from our held out set. The goal of HLE-Rolling is to provide a seamless migration path for researchers in the future once frontier models begin to hit the… See the full description on the dataset page: https://huggingface.co/datasets/cais/hle-rolling.stop_the_rolling_glue_0206dice-rolling-v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 40,
"total_frames": 17095,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:40"
},
"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/mutterehman/dice-rolling-v2.LGUplus_rolling_persona_aug
LGUplus_rolling_persona_aug
jungsanghyun/lgu-rolling-persona-aug
의 [주요 시청 프로그램] 표를 실제 시청기록으로 양방향 재구성한 판.
원본 문제: 표가 단방향 누적이라 (1) 안 본 프로그램도 계속 '상승'으로 잔류(DROP 안 됨),
(2) 새로 꾸준히 본 프로그램이 표에 안 들어감(3일+ 시청의 62%가 누락).
보정: 표 각 행에 연속 미시청 일수를 명시하고 실제 시청기록으로 재체이닝(상태기계).
오늘 시청 → 미시청 0, 미시청 → +1, 미시청 ≥ 10일 → 드랍, 신규 시청 → 미시청 0 으로 추가(채널·요일·시간·장르 합성).
[장기 성향]·[최근 성향] 서술과 user/system 메시지는 원본 그대로, 표만 교체.
표기: 제목 | 채널 | 요일 | 시간 | 장르 | 미시청 N일.
스키마: persona_id, date, dow, mode, messages([system,user… See the full description on the dataset page: https://huggingface.co/datasets/ENERZAiKR/LGUplus_rolling_persona_aug.eval_dice-rolling-v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 585,
"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/mutterehman/eval_dice-rolling-v1.maestro-rollingsplit
Dataset Card for "maestro-rollingsplit"
More Information needed
dice-rolling-v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 50,
"total_frames": 22346,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/mutterehman/dice-rolling-v3.eval_dice-rolling-v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 701,
"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/mutterehman/eval_dice-rolling-v3.eval_dice-rolling-v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 777,
"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/mutterehman/eval_dice-rolling-v2.eval_dual_rolling_touch_act_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "dual_so100_follower",
"total_episodes": 1,
"total_frames": 1113,
"total_tasks": 1,
"total_videos": 3,
"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/LemonadeDai/eval_dual_rolling_touch_act_2.dice-rolling-v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 40,
"total_frames": 17879,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:40"
},
"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/mutterehman/dice-rolling-v1.RollingEval-Aug
Dataset Card for "rw_2308_filtered"
More Information needed
msmarco-7hn-rolling-plaingamefactory-rolling-forcing-data-269drone-detection-assignment3
UAV Drone Detection and Tracking
Detect and track drones in video using YOLO fine-tuned detector, Kalman Filter w/ tuned noise parameters.
Source Videos
Video
URL
drone_video_1
YouTube - DhmZ6W1UAv4
drone_video_2
YouTube - YrydHPwRelI
Training Dataset
Dataset: lgrzybowski/seraphim-drone-detection-dataset
Training images used: 33296 (from ~77K )
Test images: 8349
Detector
Model: YOLOv8n fine-tuned on Seraphim Drone Detection… See the full description on the dataset page: https://huggingface.co/datasets/rollingcoconut/drone-detection-assignment3.lgu-rolling-persona-v3nq-train-7hn-rolling-plainlgu-rolling-persona
LGUplus 롤링 시청 페르소나 (Task 1)
LGUplus 컨텍스트 이해 POC용 소형(350M) 모델 학습 데이터셋. 교사 모델 Qwen3-235B-A22B-Instruct-2507-FP8로 생성.
롤링 페르소나 갱신: 어제까지의 페르소나 + 오늘 하루(1일분) 시청이력 → 오늘을 반영한 갱신 페르소나. 주간 스텝·코드 계산 없이 매일 순수 일일 롤링(컨텍스트는 페르소나가 들고 다님).
포맷 (chat messages)
각 row = 하나의 (persona, 날짜) 갱신 스텝.
컬럼
설명
persona_id
시청자 ID
date / dow
날짜 / 요일
mode
coldstart(첫날) / daily
messages
[system, user, assistant] (content=문자열)
system: 태스크 지시(페르소나 갱신 분석가)
user: [이전 페르소나] + [오늘 시청… See the full description on the dataset page: https://huggingface.co/datasets/jungsanghyun/lgu-rolling-persona.lgu-rolling-persona-augtho_cu_new_table_remote_2406_rolling_update_08_pdd_sanitized_old_tkn_NER_None_Nonelgu-rolling-persona-v2-dowrav4-retrieval-assignment2
Image-to-Video Semantic Retrieval via Object Detection
Retrieve matching car exterior parts to video clips where those parts appear for RAV4.
Notes
Two parquet files provided
YouTube clips URI include start time, end time can be determined by start time + clip duration noted in row
Source Video
Video: YouTube - YcvECxtXoxQ
Segment: 18:50 to 24:00 (310 frames @ 1 fps)
Query Images
Dataset: aegean-ai/rav4-exterior-images
Detector… See the full description on the dataset page: https://huggingface.co/datasets/rollingcoconut/rav4-retrieval-assignment2.tho_cu_new_table_remote_2406_rolling_update_08_pdd_sanitized_old_tkntho_cu_new_table_remote_2406_rolling_update_08_pdd_sanitized_tkn