datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
X-EGO-CS
X-Ego-CS
Ten players. One match. Ten simultaneous first-person recordings, each paired
with a 64 Hz stream of that player's exact keyboard, mouse and view-angle
inputs — all on a common, measured clock.
Paper · Paper code · Collection pipeline
Cross-Ego Demo (Pistol Round)
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All ten players' points of view, from the same pistol round, on one clock.
Note: this demo concatenates the ten streams… See the full description on the dataset page: https://huggingface.co/datasets/wangyz1999/X-EGO-CS.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/CADS-dataset.ChatGPT-Jailbreak-Prompts
Dataset Card for Dataset Name
Name
ChatGPT Jailbreak Prompts
Dataset Summary
ChatGPT Jailbreak Prompts is a complete collection of jailbreak related prompts for ChatGPT. This dataset is intended to provide a valuable resource for understanding and generating text in the context of jailbreaking in ChatGPT.
Languages
[English]
huggingface-spaces-codes
📊 Dataset Description
This dataset comprises code files of Huggingface Spaces that have more than 0 likes as of November 10, 2023. This dataset contains various programming languages totaling in 672 MB of compressed and 2.05 GB of uncompressed data.
📝 Data Fields
Field
Type
Description
repository
string
Huggingface Spaces repository names.
sdk
string
Software Development Kit of the space.
license
string
License type of the space.… See the full description on the dataset page: https://huggingface.co/datasets/Weyaxi/huggingface-spaces-codes.prompts.chat
a.k.a. Awesome ChatGPT Prompts
This is a Dataset Repository mirror of prompts.chat — a social platform for AI prompts.
📢 Notice
This Hugging Face dataset is a mirror. For the latest prompts, features, and community contributions, please visit:
🌐 Website: prompts.chat
📦 GitHub: github.com/f/awesome-chatgpt-prompts
About
prompts.chat is an open-source platform where users can share, discover, and collect AI prompts from the community. The project can… See the full description on the dataset page: https://huggingface.co/datasets/fka/prompts.chat.cmevs-erp-eval
CM-EVS: A Coverage-Curated Panoramic RGB-D Dataset for Indoor Scene Understanding
CM-EVS is a curated panoramic RGB-D dataset built under a single principle: maximize the geometric coverage of a 3D scene with the fewest equirectangular (ERP) frames possible. The release is structured as one redistributable Blender indoor data archive plus four license-aware adapter packages that regenerate matched frames locally from upstream sources whose terms forbid redistribution.
v1.0… See the full description on the dataset page: https://huggingface.co/datasets/anon-cmevs-2026/cmevs-erp-eval.e-CARE
Dataset of (Du et al., 2022) (Unofficial reupload)
Abstract
Understanding causality has vital importance for various Natural Language Processing (NLP) applications. Beyond the labeled instances, conceptual explanations of the causality can provide deep understanding of the causal fact to facilitate the causal reasoning process. However, such explanation information still remains absent in existing causal reasoning resources. In this paper, we fill this gap by presenting… See the full description on the dataset page: https://huggingface.co/datasets/12ml/e-CARE.jigsaw-toxic-comment-classification-challenge
Dataset Description
You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
toxic
severe_toxic
obscene
threat
insult
identity_hate
You must create a model which predicts a probability of each type of toxicity for each comment.
File descriptions
train.csv - the training set, contains comments with their binary labels
test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/thesofakillers/jigsaw-toxic-comment-classification-challenge.CT_DeepLesion-MedSAM2
CT_DeepLesion-MedSAM2 Dataset
Authors
Jun Ma* 1,2,
Zongxin Yang* 3,
Sumin Kim2,4,5,
Bihui Chen2,4,5,
Mohammed Baharoon2,3,5,
Adibvafa Fallahpour2,4,5,
Reza Asakereh4,7,
Hongwei Lyu4,
Bo Wang† 1,2,4,5,6
* Equal contribution † Corresponding author
1AI Collaborative Centre, University Health Network, Toronto, Canada
2Vector… See the full description on the dataset page: https://huggingface.co/datasets/wanglab/CT_DeepLesion-MedSAM2.China-Building-Footprints-CMAB-Mirror
Origin Data
@misc{Zhang2025CMAB,
author = {Zhang, Yecheng and Zhao, Huimin and Long, Ying},
title = {{CMAB-The World's First National-Scale Multi-Attribute Building Dataset}},
year = {2025},
month = apr,
publisher = {figshare},
doi = {10.6084/m9.figshare.27992417},
url = {https://doi.org/10.6084/m9.figshare.27992417},
howpublished = {dataset}
}
Paper
@article{Zhang2025SciData,
author = {Zhang, Y. and… See the full description on the dataset page: https://huggingface.co/datasets/DannHiroaki/China-Building-Footprints-CMAB-Mirror.xstory_cloze
Dataset Card for XStoryCloze
Dataset Summary
XStoryCloze consists of the professionally translated version of the English StoryCloze dataset (Spring 2016 version) to 10 non-English languages. This dataset is released by Meta AI.
Supported Tasks and Leaderboards
commonsense reasoning
Languages
en, ru, zh (Simplified), es (Latin America), ar, hi, id, te, sw, eu, my.
Dataset Structure
Data Instances
Size of downloaded dataset… See the full description on the dataset page: https://huggingface.co/datasets/juletxara/xstory_cloze.midi-classical-music
MIDI Classical Music
This dataset contains a comprehensive collection of MIDI files representing classical music compositions from various renowned composers.
The collection includes works from composers such as Bach, Beethoven, Chopin, Mozart, and many others.
The dataset is organized into directories by composer, with each directory containing MIDI files of their compositions.
The dataset is ideal for music analysis, machine learning models for music generation, and other… See the full description on the dataset page: https://huggingface.co/datasets/drengskapur/midi-classical-music.balanced-copa
Dataset Card for "Balanced COPA"
Dataset Summary
Bala-COPA: An English language Dataset for Training Robust Commonsense Causal Reasoning Models
The Balanced Choice of Plausible Alternatives dataset is a benchmark for training machine learning models that are robust to superficial cues/spurious correlations. The dataset extends the COPA dataset(Roemmele et al. 2011) with mirrored instances that mitigate against token-level superficial cues in the original COPA answers. The… See the full description on the dataset page: https://huggingface.co/datasets/pkavumba/balanced-copa.Embodied-Captioning
Embodied Image Captioning – Manually Annotated Test Set
Paper: Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions (ICCV 2025)Authors: Tommaso Galliena, Tommaso Apicella, Stefano Rosa, Pietro Morerio, Alessio Del Bue, Lorenzo NataleAffiliations: Italian Institute of Technology (IIT), University of GenoaProject Website: https://hsp-iit.github.io/embodied-captioningCode: https://github.com/hsp-iit/embodied-captioning
📦… See the full description on the dataset page: https://huggingface.co/datasets/TommyBsk/Embodied-Captioning.crates-20250307multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.Mixamo-Animations-Characters
Mixamo Animations and Characters
A complete snapshot of the Mixamo library: 2,317 motion clips and
114 rigged characters, exported as binary FBX (FBX 7.7 / fbx7_2019) with per-file metadata.
All animations share one uniform 65-joint mixamorig skeleton, so any clip can drive any
compatible character without remapping.
Use animation_motion/ and character_refined/. The full export contains 2,446 animation
files, but 129 are single-pose assets that carry no motion (Mixamo's *_Pose*… See the full description on the dataset page: https://huggingface.co/datasets/Linzhan/Mixamo-Animations-Characters.toxic-chat
Update
[01/31/2024] We update the OpenAI Moderation API results for ToxicChat (0124) based on their updated moderation model on on Jan 25, 2024.[01/28/2024] We release an official T5-Large model trained on ToxicChat (toxicchat0124). Go and check it for you baseline comparision![01/19/2024] We have a new version of ToxicChat (toxicchat0124)!
Content
This dataset contains toxicity annotations on 10K user prompts collected from the Vicuna online demo.
We utilize a human-AI… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/toxic-chat.Mixamo-Animations-Characters
Mixamo Animations and Characters
A complete snapshot of the Mixamo library: 2,317 motion clips and
114 rigged characters, exported as binary FBX (FBX 7.7 / fbx7_2019) with per-file metadata.
All animations share one uniform 65-joint mixamorig skeleton, so any clip can drive any
compatible character without remapping.
Use animation_motion/ and character_refined/. The full export contains 2,446 animation
files, but 129 are single-pose assets that carry no motion (Mixamo's *_Pose*… See the full description on the dataset page: https://huggingface.co/datasets/tanish434/Mixamo-Animations-Characters.air-bench-2024
AIRBench 2024
AIRBench 2024 is a AI safety benchmark that aligns with emerging government
regulations and company policies. It consists of diverse, malicious prompts
spanning categories of the regulation-based safety categories in the
AIR 2024 safety taxonomy.
Dataset Details
Dataset Description
AIRBench 2024 is a AI safety benchmark that aligns with emerging government
regulations and company policies. It consists of diverse, malicious prompts
spanning… See the full description on the dataset page: https://huggingface.co/datasets/stanford-crfm/air-bench-2024.Bitext-customer-support-llm-chatbot-training-dataset
Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset.commitbench
CommitBench: A Benchmark for Commit Message Generation
EXECUTIVE SUMMARY
We provide CommitBench as an open-source, reproducible and privacy- and license-aware benchmark for commit message generation. The dataset is gathered from GitHub repositories with licenses that permit redistribution. We provide six programming languages, Java, Python, Go, JavaScript, PHP, and Ruby. The commit messages in natural language are restricted to English, as it is the working language in… See the full description on the dataset page: https://huggingface.co/datasets/Maxscha/commitbench.epic-kitchens-100-clips
EPIC-KITCHENS-100 Extracted Clips
About
Dataset of 37455 video clips (24GB) extracted from videos in the EPIC-KITCHENS-100 dataset,
more precisely the extension part not contained in EPIC-KITCHENS-55. For details,
see https://www.lightly.ai/product-updates/epickitchens-100-in-lightlystudio.
The clips folder contains one video for every narration from action annotations stored
in {participant_id}/{narration_id}.mp4. The videos have been downscaled an compressed for easier… See the full description on the dataset page: https://huggingface.co/datasets/lightly-ai/epic-kitchens-100-clips.PUPAThis dataset contains the data presented in the paper PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles.
Code: https://github.com/siyan-sylvia-li/PAPILLON
eccv2026-cad-challenge-data
ECCV 2026 CAD Challenge Data
This challenge is part of the workshop The Path to Manufacturing: Evolving
3D Generation to Intelligent Computer-Aided Design.
Workshop homepage: https://3dgen-cad-workshop.github.io/
Challenge submission Space: https://huggingface.co/spaces/jingwei-xu-00/eccv2026-cad-challenge
Dataset rendering and preparation code (only .step files are required): https://github.com/DavidXu-JJ/eccv2026-cad-challenge-data-render
This repository contains the public… See the full description on the dataset page: https://huggingface.co/datasets/jingwei-xu-00/eccv2026-cad-challenge-data.2025-challenge-task-instancesCADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/sunghong/CADS-dataset.crates-20240903panlex-meanings
Dataset Card for panlex-meanings
This is a dataset of words in several thousand languages, extracted from https://panlex.org.
Dataset Details
Dataset Description
This dataset has been extracted from https://panlex.org (the 20240301 database dump) and rearranged on the per-language basis.
Each language subset consists of expressions (words and phrases).
Each expression is associated with some meanings (if there is more than one meaning, they are in separate… See the full description on the dataset page: https://huggingface.co/datasets/cointegrated/panlex-meanings.CIC-IoT-2023