datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EmbodiedGenDatahttps://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Gallery-Explorer
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.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.us_election_2024_telegram_distilled
A billion Telegram messages about the 2024 US presidential election
This is a dataset of Telegram messages collected during the 2024 US presidential election. For more details, see https://dl.acm.org/doi/10.1145/3701716.3715297.
~1.03B messages, ~43K chats, ~0.8TB (distilled).
~350M English messages have toxicity- and hate-related scores from the Perspective API. For more details, see https://support.perspectiveapi.com/s/about-the-api-attributes-and-languages?language=en_US.
~350M… See the full description on the dataset page: https://huggingface.co/datasets/leonardoblas/us_election_2024_telegram_distilled.Emmi-Wing
Emmi-Wing Dataset
This repository contains the dataset proposed in Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes, presented at the Workshop on ML for the Physical Sciences at NeurIPS 2025.
Our dataset follows widely-used industrial standards:
OpenFOAM-v2506 used for simulations and mesh generation
Steady-state compressible solver (rhoSimpleFoam)
Body-fitted mesh using snappyHexMesh, y^+ values in the range [50 − 200]… See the full description on the dataset page: https://huggingface.co/datasets/EmmiAI/Emmi-Wing.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.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.DrivAerML_subsampled_10x
DrivAerML Subsampled 10x
A subsampled and compressed version of the DrivAerML dataset by Ashton et al. (2024), prepared for convenient use with ML frameworks for automotive aerodynamics tasks such as drag and lift coefficient prediction.
Disclaimer
This dataset is provided by Emmi AI for convenience only, on an "as-is" basis, and without any warranty, express or implied. Emmi AI does not own, and does not claim any ownership or rights over, the underlying data. All… See the full description on the dataset page: https://huggingface.co/datasets/EmmiAI/DrivAerML_subsampled_10x.brazil-2026-electoral-divergence
AFOS — Brazil 2026 Electoral Divergence Dataset
🌐 English · Português · Español
English
Open, auditable daily dataset that cross-references prediction markets (Polymarket) × polling institutes (TSE-registered) × press coverage for Brazil's 2026 presidential cycle, with explicit divergence between sources instead of smoothed averages.
Maintained by AFOS Analytics — open-source civic infrastructure for electoral political-risk intelligence. This is the public… See the full description on the dataset page: https://huggingface.co/datasets/AFOS-Analytics1/brazil-2026-electoral-divergence.a-share-prices
Dataset Card for a-share-prices
Dataset Summary
This is a daily candlestick dataset of A-share 主板 market, covering the period Since January 1, 2005.
It is primarily intended for historical market data research and does not guarantee the frequency of updates for new data.
You can see the latest updated date in the file .last_update_date.
It consists in two files all-prices.csv and calendar.csv.
all-prices.csv is the primary data file(Attention: the prices are 不复权价).… See the full description on the dataset page: https://huggingface.co/datasets/ellendan/a-share-prices.hnm-fashion-recommendations-data
Dataset Rekomendasi Fashion H&M
Dataset ini berisi data transaksi, atribut pelanggan, dan metadata produk yang telah dianonimkan dari H&M Group. Kumpulan data komprehensif ini memungkinkan pemodelan perilaku pembelian pelanggan secara mendalam.
Wawasan yang dihasilkan dapat dimanfaatkan untuk berbagai tujuan bisnis yang strategis, mulai dari meningkatkan personalisasi pengalaman berbelanja, mengoptimalkan manajemen inventaris untuk efisiensi produksi, hingga mendukung inisiatif… See the full description on the dataset page: https://huggingface.co/datasets/einrafh/hnm-fashion-recommendations-data.TSP_EXECUTION_RUNSstaining-robustness-evaluation
A Protocol for Evaluating Robustness to H&E Staining Variation in Computational Pathology Models
This repository provides the stain references, pretrained models, and experimental results required to:
Define custom staining references using our PLISM reference library
Reproduce our published controlled staining robustness experiments
👉 Code repository: https://github.com/lely475/staining-robustness-evaluation/tree/main
👉 Associated publication: Paper
Overview: How… See the full description on the dataset page: https://huggingface.co/datasets/CTPLab-DBE-UniBas/staining-robustness-evaluation.ECommerce-Women-Clothing-Reviewsusgs-global-earthquake-catalog
USGS Global Earthquake Catalog
Provides historical data on global seismic events, sourced directly from the U.S. Geological Survey (USGS) Earthquake Hazards Program via its FDSN Event Web Service.
Each record represents a single seismic event (primarily earthquakes) and contains detailed information, including:
Event Time & Location: Precise timestamp, geographic coordinates (latitude, longitude), and depth of the event.
Magnitude: The magnitude of the event (mag) and the method… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/usgs-global-earthquake-catalog.MA_Query_Expansion_MLT26NSRDB_extractPublic domain data extracted from National Solar Radiation Database: https://nsrdb.nrel.gov/data-viewer
Raon-OpenTTS-Eval
Raon-OpenTTS-Eval
Technical Report
A robustness-oriented evaluation benchmark for zero-shot text-to-speech, covering 4 acoustic regimes (Clean, Noisy, Wild, Expressive) across 12 datasets with 6,000 prompt–text pairs.
Existing zero-shot TTS benchmarks typically evaluate models using prompts drawn from a single read-speech dataset, providing an incomplete view of robustness under realistic and challenging recording scenarios. Raon-OpenTTS-Eval… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/Raon-OpenTTS-Eval.BaisBenchThis is the dataset container for the Biological AI Scientist Benchmark (BAISBench). It's a benchmark designed to assess AI scientists' ability to generate biological discoveries through data analysis and reasoning with external knowledge.
This benchmark contains two tasks:
Data Process and cell Type Annotation task (BAIS-DPTA): This task includes 15 single-cell datasets to assess AI scientists' ability to annotate cell types, a fundamental challenge in single-cell analysis. To enable… See the full description on the dataset page: https://huggingface.co/datasets/EperLuo/BaisBench.Womens_Clothing_E-Commerce_Reviewsopenadmet-expansionrx-challenge-data
OpenADMET-ExpansionRx Challenge FULL dataset
This is the full dataset used in the OpenADMET-ExpansionRx blind challenge, which finalized in January 19th, 2026.
Originally split in a train and blinded test set, we now release the full dataset, which contains real-work ADMET data from a recently prosecuted series of drug discovery campaigns by Expansion Therapeutics on RNA mediated diseases.
While optimising candidate molecules for their preclinical programs Expansion collected… See the full description on the dataset page: https://huggingface.co/datasets/openadmet/openadmet-expansionrx-challenge-data.ExploreToM
Data sample for ExploreToM: Program-guided adversarial data generation for theory of mind reasoning
ExploreToM is the first framework to allow large-scale generation of diverse and challenging theory of mind data for robust training and evaluation.
Our approach leverages an A* search over a custom domain-specific language to produce complex story structures and novel, diverse, yet plausible scenarios to stress test the limits of LLMs.
Our A* search procedure aims to find… See the full description on the dataset page: https://huggingface.co/datasets/facebook/ExploreToM.pending-medicare-provider-enrollment-data
Pending Medicare Provider Enrollment Data
This is a dated, source-receipted sample of behavioral-health NPIs newly present in CMS's pending first-time Medicare enrollment files on 2026-07-13, compared with the immediately prior 2026-07-09 publication.
Pending does not mean approved. A row indicates that a first-time Medicare enrollment application appeared in a CMS pending file. It does not prove enrollment, credentialing, licensure, a new practice, service availability… See the full description on the dataset page: https://huggingface.co/datasets/unitedideas/pending-medicare-provider-enrollment-data.SwissCrop25
SwissCrop25
A national benchmark dataset for operational crop mapping in Switzerland, providing Sentinel-2
time series, daily temperature data, and parcel-level crop type labels across seven growing
seasons (2019–2025).
Introduced in: SwissCrop25: A National Multi-Year Benchmark for Operational Crop Mapping
(TerraBytes II Workshop, ECCV 2026) — [Paper] [Code] [Team]
Highlights
Nationwide coverage of Switzerland (41,285 km²)
Seven growing seasons (2019–2025)
73… See the full description on the dataset page: https://huggingface.co/datasets/EOA-team/SwissCrop25.enabling-independent-research
Overview
This directory contains the Anthropic Insights data we provided to our three external research groups as part of the collaboration detailed in "Enabling independent research on how people use Claude".
Before using this data, we recommend first reading our blog post on this collaboration and the Anthropic Insights paper and blog post. Before drawing conclusions from this data — especially from open-ended clusters — please read "Guidance for Interpreting Open-Ended… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/enabling-independent-research.fake_job_postings_balanced_en
🧠 BALANCED_FAKE_JOB_POSTINGS_EN Dataset
📘 Overview
This dataset is a balanced English version of the original Fake Job Postings dataset from Kaggle:
Real or Fake? Fake Job Posting Prediction.
It contains 1,730 job postings, equally divided between fraudulent (fake) and non-fraudulent (real) listings.
All text fields remain in English, preserving the semantic meaning and structure of the original dataset. Only balancing was performed — no translation or additional… See the full description on the dataset page: https://huggingface.co/datasets/gplsi/fake_job_postings_balanced_en.Llama3-SSL4EO-S12-v1.1-captions
Llama3-SSL4EO-S12-Captions
The captions are aligned with the SSL4EO-S12 v1.1 dataset and were automatically generated using the Llama3-LLaVA-Next-8B model.
Please find more information regarding the generation and evaluation in the Llama3-MS-CLIP paper.
Code: https://github.com/IBM/MS-CLIP
Data Structure
We provide the captions in two versions: As a single compressed Parquet file per split and as CSV files with 256 captions each that match the Zarr Zip files of the… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions.rocketleague-analysis
Rocket League Analysis
Local Rocket League replay analysis using Ballchasing API exports and plain DuckDB.
The report is meant to answer one practical question: what should I work on next from my saved replay sample?
Quick Start
uv sync --locked
UV_CACHE_DIR=/tmp/rocketleague-uv-cache \
uv run --locked pytest -v
uv run --locked python scripts/analyze_scenarios.py \
--replay-dir /path/to/Rocket\ League/TAGame/Demos \
--limit 10
Start with CONTRIBUTING.md… See the full description on the dataset page: https://huggingface.co/datasets/edmundmiller/rocketleague-analysis.GridCorpus_9M_Sudoku_Puzzles_Enriched
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║ ▼… See the full description on the dataset page: https://huggingface.co/datasets/beta3/GridCorpus_9M_Sudoku_Puzzles_Enriched.everyday-manipulation-3d-raw
Everyday Manipulation 3D (raw RGB-D)
1,513 clips · 10.28 hours · 279 GiB · 4 participants · 10 manipulation tasks · 42 recording sittings
Chest-mounted iPhone Pro capture of everyday two-handed manipulation by
CaryX AI. Clips were recorded with
Record3D, an iOS app that captures the
iPhone's LiDAR RGB-D stream. Each clip is the app's .r3d recording with the
audio track removed; the sensor streams are unmodified: synchronised RGB,
metric LiDAR depth, per-frame ARKit 6-DoF camera… See the full description on the dataset page: https://huggingface.co/datasets/CaryxAI/everyday-manipulation-3d-raw.