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.oneformer_demodemo_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.2026-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_demomoral_storiesMoral Stories is a crowd-sourced dataset of structured, branching narratives for the study of grounded, goal-oriented
social reasoning. For detailed information, see https://aclanthology.org/2021.emnlp-main.54.pdf.opencs2_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.Demo_videoCore-DEM
Major TOM Core-DEM
Major TOM Core-DEM contains a global coverage of Copernicus DEM, each of size 356 x 356 pixels.
This dataset was created to support the development of the MESA terrain generation model. It is also featured in the paper EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images and is part of the Major TOM: Expandable Datasets for Earth Observation ecosystem.
Official Viewer App:: Major TOM Viewer
Major TOM GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/Major-TOM/Core-DEM.v1-sft-demoDeMix_Corpora
Dataset Card for DeMix Corpora
DeMix
📄 Paper: Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
🤗 Dataset: DeMix Corpora
🐱 Github: Demix
Dataset Details
Dataset Description
DeMix Corpora (15T original tokens and 22T mixture tokens) serves as a comprehensive, high-quality, large-scale, and carefully mixed resource that can be directly employed for pre-training.
(2026.2.7: This is an… See the full description on the dataset page: https://huggingface.co/datasets/lucius1022/DeMix_Corpora.librispeech_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_demodemucs.cppThis repo stores weights in ggml format that are used to perform music separation.
These are intended to be used with demucs.cpp, https://github.com/sevagh/demucs.cpp
Weights origin:
https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/955717e8-8726e21a.th
https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/5c90dfd2-34c22ccb.th
https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/f7e0c4bc-ba3fe64a.th
https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/d12395a8-e57c48e6.th… See the full description on the dataset page: https://huggingface.co/datasets/Retrobear/demucs.cpp.labor-demand-index
Chainticks Labor Demand Index
An agent-friendly labor-demand panel for finding where organizations are still trying to hire humans for work that may be automatable.
This dataset intentionally publishes aggregates and official public-domain series only:
official_labor_timeseries: BLS JOLTS monthly openings, hires, quits, layoffs/discharges, and separations by US sector (latest revision).
jolts_sector_metrics: derived vacancy/hire, quit/hire, separation/hire, and YoY openings… See the full description on the dataset page: https://huggingface.co/datasets/Chainticks/labor-demand-index.demonslayer
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.VoiceBank-DEMAND-16k