datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
2025-challenge-demosThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "R1Pro",
"total_episodes": 10000,
"total_frames": 119094660,
"total_tasks": 50,
"total_videos": 90000,
"chunks_size": 10000,
"fps": 30,
"splits": {
"train": "0:10000"
},
"data_path": "data/task-{episode_chunk:04d}/episode_{episode_index:08d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/behavior-1k/2025-challenge-demos.demo_data
1,000 examples from https://huggingface.co/datasets/llamafactory/alpaca_gpt4_en
1,000 examples from https://huggingface.co/datasets/llamafactory/alpaca_gpt4_zh
300 examples from https://huggingface.co/datasets/llamafactory/glaive_toolcall_en
300 examples from https://huggingface.co/datasets/llamafactory/glaive_toolcall_zh
91 examples for identity learning
300 examples from https://huggingface.co/datasets/cognitivecomputations/SystemChat-2.0
6 examples for multimodal supervised… See the full description on the dataset page: https://huggingface.co/datasets/llamafactory/demo_data.oneformer_demo2026-challenge-demos
BEHAVIOR-1K 2026 Challenge Demos
This dataset contains BEHAVIOR-1K 2026 challenge demonstration trajectories in LeRobotDataset v3 format.
Dataset Statistics
Tasks: 100
Episodes: 20,000
Frames: 210,916,774
Size: approximately 3.0 TB
Data shards: 955 Parquet files
Video files: 17,093 MP4 files
Video features: 6
Format
The repository follows the LeRobotDataset v3 layout:
meta/info.json: dataset schema and path templates
meta/stats.json: feature… See the full description on the dataset page: https://huggingface.co/datasets/behavior-1k/2026-challenge-demos.ade20k-panoptic-demo
Dataset Card for "ade20k-panoptic-demo"
More Information needed
PhysicalAI-Robotics-Manipulation-Kitchen-Demos
PhysicalAI-Robotics-Manipulation-Kitchen-Demos
We provide a 600 hours of human-teleoperated demonstrations across 316 different tasks, totalling 55k trajectories.
The datasets are collected using Franka Panda robot with an Omron mobile base.
The datasets follow the LeRobot format. Here is an overview of important elements of each dataset:
Click to expand dataset structure
lerobot/
├── meta/ # Metadata files describing the dataset
│ ├── info.json… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-Manipulation-Kitchen-Demos.PaddleOCR-VL_demojobs-demo
Bag-of-Documents — Unified Jobs Artifacts
Companion artifacts for the unified jobs search Space.
Contains: titles + slim metadata + full metadata (JSONL) + bge-small + te3-large @ 1024 catalog vectors + pre-encoded te3 query cache (~196k popular queries) for 347,900 job postings across 4 corpora (Open-Apply, LinkedIn, JobStreet, USAJobs).
Source: github.com/dtunkelang/bag-of-documents
demo1
Dataset Card for Demo1
Dataset Summary
This is a demo dataset. It consists in two files data/train.csv and data/test.csv
You can load it with
from datasets import load_dataset
demo1 = load_dataset("lhoestq/demo1")
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/lhoestq/demo1.collected_demos_training2025-challenge-demosThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "R1Pro",
"total_episodes": 10000,
"total_frames": 119094660,
"total_tasks": 50,
"total_videos": 90000,
"chunks_size": 10000,
"fps": 30,
"splits": {
"train": "0:10000"
},
"data_path": "data/task-{episode_chunk:04d}/episode_{episode_index:08d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/elonelonelon/2025-challenge-demos.behavior-1k_2025-challenge-demosThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "R1Pro",
"total_episodes": 10000,
"total_frames": 119094660,
"total_tasks": 50,
"total_videos": 90000,
"chunks_size": 10000,
"fps": 30,
"splits": {
"train": "0:10000"
},
"data_path": "data/task-{episode_chunk:04d}/episode_{episode_index:08d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Dario-Shit4/behavior-1k_2025-challenge-demos.hdr-demo-clips
HDR Demo Clips (Lightricks SDR→HDR)
Paired SDR (input) / HDR (output) frame sequences from the Lightricks SDR-to-HDR pipeline (IC-LoRA on LTX-2).
Each clip contains:
hdr_exr/frame_XXXXX.exr — HDR output (f16, linear Rec.709/sRGB primaries, scene-referred)
sdr_png/frame_XXXXX.png — SDR input (8-bit sRGB, display-referred)
thumbnail.jpg — 280px preview from the middle frame
Dimensions: HDR is symmetrically cropped from SDR to match model-friendly dimensions (typically 28–56px… See the full description on the dataset page: https://huggingface.co/datasets/oumoumad/hdr-demo-clips.depict_demoDemo_videoopencs2_dataset_demo
HLTV CS2 Demos Dataset
Counter-Strike 2 match demos scraped from HLTV.org
plus a compact per-map analysis JSON. Each row of the metadata Parquet is
one .dem file (one played CS2 map); a best-of-3 match contributes 2
or 3 rows depending on whether it went 2-0 or 2-1.
Parquet holds everything you typically filter on: map_name,
patch_version, rounds_played, per-player kast / adr / rating,
every kill tick with weapon + headshot, every round's winner + end reason.
.dem binaries live… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/opencs2_dataset_demo.v1-sft-demolibrispeech_asr_demoManiSkill_Demonstrations
ManiSkill Demonstrations
This dataset repo contains all of the latest ManiSkill demonstration datasets as well as some pretained model weights used to generate some demonstrations. To download by environment ID run
python -m mani_skill.utils.download_demo env_id
You can also replace env_id with "all" to download all demos.
For the previous ManiSkill2 paper's demonstration data (v0.5.3 of the mani_skill package) see https://huggingface.co/datasets/haosulab/ManiSkill2
The… See the full description on the dataset page: https://huggingface.co/datasets/haosulab/ManiSkill_Demonstrations.Prague-REALMAP-Demo
Dataset description
Mosaic REALMAP Demo dataset with 9114 images collected with panoramic camera with global shutter sensors. You can find more about full dataset in this article: Mosaic Prague REALMAP Each image has its position written in EXIF metadata populated from IMU device paired with the camera.
Images from each sensor are electrically syncronized up to several nanoseconds and the whole device can be considered as a multicamera rig. Additional camera information, including… See the full description on the dataset page: https://huggingface.co/datasets/ishipachev/Prague-REALMAP-Demo.moe-demo-clean
RoboTwin MOE Demo Clean
Raw RoboTwin demonstration data copied from bos:/lab-test/moe-demo-clean/.
The dataset is organized by task directories such as
place_can_basket-demo_clean-200/. Each task directory contains episode
subdirectories with an HDF5 trajectory file and an instructions.json file.
superb_demo
Disclaimer
This is a tiny subset of the SUPERB dataset, which is intended only for demo purposes!
See the full dataset here: https://huggingface.co/datasets/superb
Holi4d_demodemonslayer
Bangumi Image Base of Demon Slayer
This is the image base of bangumi Demon Slayer, we detected 78 characters, 5890 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters'… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/demonslayer.processed_demo
Dataset Card for "processed_demo"
More Information needed
embodied_features_and_demos_liberoDataset for Embodied Chain-of-Thought Reasoning for LIBERO-90, as used by ECoT-Lite.
TFDS Demonstration Data
The TFDS dataset contains successful demonstration trajectories for LIBERO-90 (50 trajectories for each of 90 tasks). It was created by rolling out the actions provided in the original LIBERO release and filtering out all unsuccessful ones, leaving 3917 successful demo trajectories. This is done via a modified version of a script from the MiniVLA codebase. In addition to… See the full description on the dataset page: https://huggingface.co/datasets/Embodied-CoT/embodied_features_and_demos_libero.dp3_demo_smallcs2-demo-archive
CS2 Demo to Dataset — Pipeline Output Samples
Sample archives produced by the open-source
cs2-demo-to-dataset
pipeline, which converts a single CS2 .dem replay file into per-round,
per-player first-person video aligned to tick-level state, input and event
tables.
This release is not a dataset contribution. The point of the upload is to
demonstrate that the pipeline produces a coherent, reproducible archive
format. Please see the
GitHub repository for the
recorder code… See the full description on the dataset page: https://huggingface.co/datasets/Vasy7777/cs2-demo-archive.PiLoT-demo
PiLoT Demo
Open demo assets for the PiLoT project (query images, poses, pretrained weights, and scene models used by the demo scripts).
Download
pip install -U huggingface_hub
hf download choyaa/PiLoT-demo --repo-type dataset --local-dir ./PiLoT-demo
Layout:
data_demo/
├── 3dgs_model/
├── smbu_model/
├── pretrained_model/
└── query/
See data_demo/README.md for pose formats and case details.
Related
Training data (gated):… See the full description on the dataset page: https://huggingface.co/datasets/choyaa/PiLoT-demo.financial-analyst-data-demo
financial-analyst-data-demo
EN: A-share historical OHLCV + valuation + financials + TDX F10 events, packaged in Qlib binary + Parquet formats. Companion dataset for financial-analyst — a 14-agent single-stock deep-dive research workstation.
中文: A 股历史行情 + 估值 + 财报 + TDX F10 事件数据集, Qlib 二进制 + Parquet 双格式打包. 配套 financial-analyst — 14 Agent 个股深度研究工作站使用.
Published / 发布: 2026-05-24 · Size / 体量: ~0.16 GB · License: Apache 2.0
📊 Three Preset Tiers / 三档预设
Pick the tier that… See the full description on the dataset page: https://huggingface.co/datasets/yifishbossman/financial-analyst-data-demo.