datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
waqfeya-library
Waqfeya Library
📖 Overview
Waqfeya is one of the primary online resources for Islamic books, similar to Shamela. It hosts more than 10,000 PDF books across over 80 categories.
In this dataset, we processed the original PDF files using Google Document AI APIs and extracted their contents into two additional formats: TXT and DOCX.
📊 Dataset Contents
The dataset includes 22,443 PDF files (spanning 8,978,634 pages) representing 10,150 Islamic books. Each book is… See the full description on the dataset page: https://huggingface.co/datasets/ieasybooks-org/waqfeya-library.or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue line… See the full description on the dataset page: https://huggingface.co/datasets/bench-llm/or-bench.brain-lm-alignment-ds002236
Brain–language-model alignment: ds002236 (whole-brain)
Lytle et al. 2020 — orthographic, phonological and semantic word processing in school-aged children (8.7–15.5), auditory and visual.
Paper: https://pubmed.ncbi.nlm.nih.gov/31956678/
Data: https://openneuro.org/datasets/ds002236/versions/1.0.1
Generated: 2026-09-24
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number in… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds002236.brain-lm-alignment-ds006239
Brain–language-model alignment: ds006239 (whole-brain)
Wang et al. 2025 — word-level phonological and semantic reading tasks in children and adolescents aged 10–17.
Paper: https://www.sciencedirect.com/science/article/pii/S2352340925009692
Data: https://openneuro.org/datasets/ds006239/versions/1.0.5
Generated: 2026-09-24
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds006239.UniML3D
UniML3D
UniML3D is the text-paired, topology-annotated motion dataset behind UniMate (SIGGRAPH Asia 2026): motion clips from three sources with very different skeletons — Mixamo humanoids, Truebones ZOO animals and rigged Objaverse-XL objects — brought into one canonical layout, captioned, and annotated with cleaned joint names, a body-plan category and a facing-direction joint pair per skeleton. Every annotation in it was generated by this project's own data… See the full description on the dataset page: https://huggingface.co/datasets/Linzhan/UniML3D.Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-DatasetTunisian Proverbs with Image Associations: A Cultural and Linguistic Dataset
Description
This dataset explores the rich oral tradition of Tunisian proverbs mapped into text format, pairing each with contextual explanations, English translations both word-to-word and it's equivalent Target Language dynamic, Automated prompt and AI-generated visual interpretations.
It bridges linguistic, cultural, and visual modalities making it valuable for tasks in cross-cultural NLP, generative… See the full description on the dataset page: https://huggingface.co/datasets/HabibaAbderrahim/Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-Dataset.brain-lm-alignment-ds001894
Brain–language-model alignment: ds001894 (whole-brain)
Lytle et al. 2019 — longitudinal word-level phonological processing in children scanned twice, at roughly 10 and 12 years old.
Paper: https://www.nature.com/articles/s41597-019-0338-5
Data: https://openneuro.org/datasets/ds001894/versions/1.4.2
Generated: 2026-09-24
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds001894.mdsagenhome3d-1280
GenHome3D-1280
1,280 validated household and spatial-design assets in USDZ format, organized
across 64 categories.
Explore the visual catalog ·
Browse the GitHub repository ·
Download the versioned release ·
Read the generation method
Dataset summary
Assets
1,280
Categories
64
Assets per category
20
Runtime format
USDZ
Units
Meters
Asset license
CC BY 4.0
Technical validation
1,280/1,280 pass
Package validation
1… See the full description on the dataset page: https://huggingface.co/datasets/linxy97/genhome3d-1280.open-hdri-1k
Open HDRI 1K
A consolidated, public-domain (CC0-1.0) collection of 3,491 equirectangular HDR environment maps at 1K resolution, gathered from five free HDRI libraries: Poly Haven, BlenderKit, ambientCG, CGEES and Open HDRI.
Every map is stored as a linear, high-dynamic-range .exr file alongside a tonemapped .jpg preview, with a per-asset metadata row (dimensions, source, author, license, SHA-256 checksum and tags).
Contents
Source
Assets
Author(s)
License… See the full description on the dataset page: https://huggingface.co/datasets/leodriesch/open-hdri-1k.ChEBI-20-MM
ChEBI-20-MM Dataset
Overview
The ChEBI-20-MM is an extensive and multi-modal benchmark developed from the ChEBI-20 dataset. It is designed to provide a comprehensive benchmark for evaluating various models' capabilities in the field of molecular science. This benchmark integrates multi-modal data, including InChI, IUPAC, SELFIES, and images, making it a versatile tool for a wide range of molecular tasks.
Dataset Description
ChEBI-20-MM is an expansion of the… See the full description on the dataset page: https://huggingface.co/datasets/liupf/ChEBI-20-MM.afrolm_active_learning_dataset
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
GitHub Repository of the Paper
This repository contains the dataset for our paper AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages which will appear at the third Simple and Efficient Natural Language Processing, at EMNLP 2022.
Our self-active learning framework
Languages Covered
AfroLM has been… See the full description on the dataset page: https://huggingface.co/datasets/bonadossou/afrolm_active_learning_dataset.LabUtopia-Dataset🧪 LabUtopia-Dataset: Scientific Laboratory 3D Asset Library (OpenUSD)
LabUtopia-Dataset is a large-scale 3D asset library designed for simulating scientific laboratory environments.
It provides realistic lab scenes, scientific instruments, and environmental props, all stored in OpenUSD (.usd / .usdz) format for high interoperability and composability.
🧩 File Format: OpenUSD
Each asset is stored as a .usd or .usdz file.
You can load them directly in:
NVIDIA Omniverse (Create, Isaac Sim)… See the full description on the dataset page: https://huggingface.co/datasets/Ruinwalker/LabUtopia-Dataset.llbench-dataset
LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models via Human Preferences
Anonymous release prepared for NeurIPS 2026 review. Please do not redistribute.
LL-Bench is a large-scale, human-preference benchmark for evaluating low-level
vision restoration in the era of large generative models (LGMs). It compares
10 LGMs with 16 specilist and 5 all-in-one models across 16 low-level vision tasks, paired with dense human annotations:pairwise… See the full description on the dataset page: https://huggingface.co/datasets/anonymousllbench/llbench-dataset.or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue line… See the full description on the dataset page: https://huggingface.co/datasets/bench-llms/or-bench.localizer
Dartbrains Localizer Dataset
A subset of the Brainomics/Localizer functional MRI dataset, prepared for the Dartbrains neuroimaging course at Dartmouth College.
Quick Start
Load beta maps (recommended for most exercises)
from datasets import load_dataset
ds = load_dataset("dartbrains/localizer", "betas")
img = ds[0]["nifti"] # nibabel.Nifti1Image
subject = ds[0]["subject"] # "S01"
condition = ds[0]["condition"] # "audio_computation"… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/localizer.or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our leaderboard at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue… See the full description on the dataset page: https://huggingface.co/datasets/orbench-llm/or-bench.BiasShadesInterested in contributing? Speak a language not represented here? Disagree with an annotation? Please submit feedback in the Community tab!
Dataset Card for BiasShades
Note: This dataset may NOT be used as training data in any form (pre-training, fine-tuning, post-training, etc.) without express permission from creators.
Dataset Details
Version: 1.0
License: SHADES 1 Montreal Data License
Dataset Description
728 stereotypes and associated… See the full description on the dataset page: https://huggingface.co/datasets/LanguageShades/BiasShades.egocentric_dataset
Egocentric RGB-D + EMG/IMU Daily Activity Dataset
This dataset contains first-person daily activity recordings with synchronized RGB-D video, wrist EMG/IMU signals, hand keypoints, object masks, hand-object contact annotations, per-finger force annotations, and semantic action segments.
Multimodal showcase video: RGB-D, hand joints, 3D hand projection, and object masks
Overview
The dataset is designed for egocentric embodied AI and robot learning in everyday… See the full description on the dataset page: https://huggingface.co/datasets/Lo6yu/egocentric_dataset.llava-15-rlmpq-vlm-eval-results
RL-MPQ VLM Evaluation Artifacts
Complete figures, tables, galleries, and raw benchmark CSVs for the extended VLM evaluation.
Dataset: AvoCahDoe/llava-15-rlmpq-vlm-eval-results
Collections (by base VLM)
RL-MPQ VLM — LLaVA-1.5-13B — HF collection
RL-MPQ VLM — LLaVA-1.5-7B — HF collection
RL-MPQ VLM — LLaVA-Next Mistral-7B — HF collection
RL-MPQ VLM — Qwen2-VL-7B — HF collection
Model repos
RL-MPQ High Fidelity →… See the full description on the dataset page: https://huggingface.co/datasets/AvoCahDoe/llava-15-rlmpq-vlm-eval-results.RealDoc-Bench-Layout
RealDocBench-Layout
A 1,500-page document-layout benchmark for evaluating layout-detection
models on real-world documents. COCO-style annotations across 9 block
classes.
Contents
images/ — 1,500 page images (PNG / JPG / occasional WebP-as-PNG; see Caveats).
annotations/<pageId>.json — per-page COCO files, each with a single
image record, an annotations list, a categories list, and a
page_info block.
manifest.csv — pageId → domain + source URLs. The canonical row… See the full description on the dataset page: https://huggingface.co/datasets/Extend-AI/RealDoc-Bench-Layout.Minecraft-winter-shaders-Lite
❄️ Minecraft Winter Shaders (Lite)
10,000+ winter Minecraft screenshots with Photon Shaders.
For generative models, style transfer, and high-quality vision tasks.
Structure
Single folder: winter/
Format: 960x540 JPEG
License
Dataset: CC BY NC 4.0.Shader: Photon Shaders by SixthSurge (commercial use of screenshots explicitly allowed).See PHOTON_SHADERS_LICENSE.txt.
vn-ebi-provincial
Vietnam EBI provincial e-business index (2012-2026)
VECOM E-Business Index (EBI) provincial scores, 14 report years (2012-2026. no official 2016). Subindexes HR&IT, B2C, B2B, and G2B when published. G2B dropped from the composite from 2021. Geographic panel is historical_63 through 2025 and current_34 (post-merger) in 2026. Weights and coverage vary by year - see year_meta. Chart digits verified against official PDFs/screenshots. published ebi_total kept even when a few VECOM… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-ebi-provincial.InvoiceBenchmark
InvoiceBenchmark
200 synthetic invoices with cent-perfect ground truth, designed to measure the one thing language models are supposed to be able to do: read a number.
The Pitch
Invoice processing is the use case every enterprise AI pitch deck opens with. The numbers are either right or wrong, and the distance between right and wrong can be measured to the cent. This dataset exists because we ran the experiment and discovered that the gap between "this looks easy" and… See the full description on the dataset page: https://huggingface.co/datasets/jngb-labs/InvoiceBenchmark.IRFL
Dataset Card for IRFL
Dataset Description
Leaderboards
Colab notebook code for IRFL evaluation
Languages
Dataset Structure
Data Fields
Dataset Creation
Considerations for Using the Data
Licensing Information
Citation Information
Dataset Description
The IRFL dataset consists of idioms, similes, metaphors with matching figurative and literal images, and two novel tasks of multimodal figurative detection and retrieval.Using human annotation and an automatic pipeline… See the full description on the dataset page: https://huggingface.co/datasets/lampent/IRFL.LSV
LSV: LabSuperVision Benchmark
Dataset Description
LSV is a multi-view video dataset of wet-lab biology experiments, captured from both first-person (XMglass smart glasses) and third-person (DJI action camera) perspectives. Each video records a researcher performing a laboratory protocol and is annotated with the corresponding protocol text, scene type, and—where applicable—deliberate procedural errors.
The dataset is designed for research on:
Protocol compliance… See the full description on the dataset page: https://huggingface.co/datasets/YinkaiW/LSV.Obstacle-Detection-Dataset-YOLO
ROD-Dataset: Real-Time Obstacle Detection for Smartphone-Based Assistive Vision
24,326-image, 25-class YOLO dataset for obstacle detection
This dataset is the data product of our Real-Time Obstacle Detection (ROD) project at Amirkabir University of Technology, Tehran. The project addresses two related public-safety problems on the city sidewalk: the limited situational awareness of people living with visual impairments, and the elevated collision and fall risk for pedestrians… See the full description on the dataset page: https://huggingface.co/datasets/ty-li/Obstacle-Detection-Dataset-YOLO.beyond-the-brush
Beyond the Brush: Fully-automated Crafting of Realistic Inpainted Images
The generation of partially manipulated images is rapidly becoming a significant threat to the public's trust in online content.
The proliferation of diffusion model-based tools that enable easy inpainting operations has significantly lowered the barrier to accessing these techniques.
In this context, the multimedia forensics community finds itself at a disadvantage compared to attackers, as developing new… See the full description on the dataset page: https://huggingface.co/datasets/lesc-unifi/beyond-the-brush.Follow-Line-Combine-Datasetor-bench-toxic-all
OR-Bench: An Over-Refusal Benchmark for Large Language Models
This dataset constains highly toxic prompts, use with caution!!!
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic… See the full description on the dataset page: https://huggingface.co/datasets/bench-llms/or-bench-toxic-all.