datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UnsolvedMath🌐 Browse UnsolvedMath online
✅ Paper: Open Mathematical Problems as an AI Reasoning Benchmark
UnsolvedMath Dataset
A comprehensive curated collection of 15,458 open and partially solved mathematics problems across all domains and difficulty levels, including the largest collection of Erdős problems available in machine-readable format. Available for browsing at unsolvedmath.com.
Paper: "Open Mathematical Problems as an AI Reasoning Benchmark"
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/ulamai/UnsolvedMath.UniDoc-Bench
UNIDOC-BENCH Dataset
A unified benchmark for document-centric multimodal retrieval-augmented generation (MM-RAG).
Dataset Description
UNIDOC-BENCH is the first large-scale, realistic benchmark for multimodal retrieval-augmented generation (MM-RAG) and Visual Question Answering (VQA) built from 70,000 real-world PDF pages across eight domains. The dataset extracts and links evidence from text, tables, and figures, then generates 1,700+ multimodal QA pairs spanning… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/UniDoc-Bench.unpredictable_support-google-comThe UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.UniEQA
UniEQA Dataset
UniEQA Dataset Directory Structure
|- Part
|- capability dimension (eg.,object_type)
|- core
|- images
|- data.json
| - ...
|- ...
The UniEQA dataset includes questions, images, and answers, and the question-images-answer pairs are in data.json.
Download Dataset
Step 1: Download dataset UniEQA.
Step 2: Download HM3D. The RGB frames for the HM3D episode histories are available in this third party location (12 Gb). You… See the full description on the dataset page: https://huggingface.co/datasets/TJURL-Lab/UniEQA.Draw-and-Understand
🎨 Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
The interaction between humans and artificial intelligence (AI) is a crucial factor that reflects the effectiveness of multimodal large language models (MLLMs). However, current MLLMs primarily focus on image-level comprehension and limit interaction to textual instructions, thereby constraining their flexibility in usage and depth of response. Therefore, we introduce the… See the full description on the dataset page: https://huggingface.co/datasets/Afeng-x/Draw-and-Understand.FaithEval-unanswerable-v1.0
FaithEval
FaithEval is a new and comprehensive benchmark dedicated to evaluating contextual faithfulness in LLMs across three diverse tasks: unanswerable, inconsistent, and counterfactual contexts.
[Paper] FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows", ICLR 2025, https://arxiv.org/abs/2410.03727
[Code and Detailed Instructions] https://github.com/SalesforceAIResearch/FaithEval
Disclaimer and Ethical Considerations… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/FaithEval-unanswerable-v1.0.Unlearning-Simplex
Towards Multi-reference Unlearning
Uni-MuMER-Data
Uni-MuMER: Unified Multi-Task Vision-Language Model Fine-Tuning for Handwritten Mathematical Expression Recognition
This repository provides datasets and fine-tuned models related to Uni-MuMER, a unified multi-task fine-tuning framework designed to enhance Vision-Language Models (VLMs) for Handwritten Mathematical Expression Recognition (HMER).
Uni-MuMER integrates domain-specific knowledge directly into generalist VLM architectures without modification, employing data-driven… See the full description on the dataset page: https://huggingface.co/datasets/phxember/Uni-MuMER-Data.CFR-Title-2-Uniform-Administrative-Requirements-Cost-Principles-And-Audit
Title 2 CFR Uniform Administrative Requirements, Cost Principles, and Audit Question-Answer Dataset
Dataset Summary
This dataset contains document-grounded question-and-answer samples based on Title 2 of the Code of Federal Regulations—Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards, commonly referred to as the Uniform Guidance.
The Uniform Guidance establishes Government-wide requirements for administering Federal… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/CFR-Title-2-Uniform-Administrative-Requirements-Cost-Principles-And-Audit.Agentic-Long-Context-Understanding-QA 📖 Agentic Long Context Understanding 📖
Self-Taught Agentic Long Context Understanding (Arxiv).
AgenticLU refines complex, long-context queries through self-clarifications and contextual grounding, enabling robust long-document understanding in a single pass.
Installation Requirements
This codebase is largely based on OpenRLHF and Helmet, kudos to them.
The requirements are the same
pip install openrlhf
pip install -r ./HELMET/requirements.txt… See the full description on the dataset page: https://huggingface.co/datasets/yzhuang/Agentic-Long-Context-Understanding-QA.unpredictable_support-google-comThe UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.unified-toolcalls-canonical
Unified Tool-Calling Corpus — Canonicalized Output
Publish-ready conversion of two pinned Hugging Face dataset revisions into the single
schema defined in docs/unified_format.md, with repeated
records normalized by an explicit canonicalization rule and every surviving record
kept faithful to its source row.
Records in (source rows)
65,000
Records published (canonical survivors)
64,622
Duplicates collapsed
378 (343 duplicate groups)
Records mutated during… See the full description on the dataset page: https://huggingface.co/datasets/dongbobo/unified-toolcalls-canonical.Multi-Turn-Insurance-Underwriting
Dataset Card for Multi-Turn-Insurance-Underwriting
Dataset Summary
This dataset includes sample traces and associated metadata from multi-turn interactions between a commercial underwriter and AI assistant. We built the system in langgraph with model context protocol and ReAct agents. In each sample, the underwriter has a specific task to solve related to a recent application for insurance by a small business. We created a diverse sample dataset covering 6 distinct types… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/Multi-Turn-Insurance-Underwriting.MME-Unify
2024.08.20 🌟 We are proud to open-source MME-Unify, a comprehensive evaluation framework designed to systematically assess U-MLLMs. Our Benchmark covers 10 tasks with 30 subtasks, ensuring consistent and fair comparisons across studies.
Paper: https://arxiv.org/abs/2504.03641
Code: https://github.com/MME-Benchmarks/MME-Unify
Project page: https://mme-unify.github.io/
How to use?
You can download images in this repository and the final structure should look like this:
MME-Unify… See the full description on the dataset page: https://huggingface.co/datasets/wulin222/MME-Unify.quatiQuati ― Portuguese Native Information Retrieval dataset.mmlu_ita
Italian Version of the MMLU DATASET
Based on the version released by: FreedomIntelligence/MMLU_Italian
Includes minor fixes.
Citations
This version:
@misc{basile2023llamantino,
title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language},
author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
year={2023},
eprint={2312.09993}… See the full description on the dataset page: https://huggingface.co/datasets/swap-uniba/mmlu_ita.realistic_scen
Unreal MLLM Dataset - realistic_scen
Physics simulation dataset with unreal rules for multimodal language model evaluation.
Dataset Structure
Each row contains:
Video file with physics simulation
Plan and metadata as JSON strings
Multiple QA items (Rule Identification, Explanatory Reasoning, Predictive)
Optional prediction video
Features
features:
- name: difficulty
dtype: string
- name: file_name
dtype: video
- name: id
dtype: string
-… See the full description on the dataset page: https://huggingface.co/datasets/UnrealMLLM/realistic_scen.ENADE_Brazilian_national_university_examination_MCQ_483universebench
UniVerseBench
The evaluation split of UniVerse (同谣).Training data lives in UniVerseSet.
UniVerseBench is a multilingual folk-music understanding benchmark for large audio–language models (LALMs). It asks models to listen, not to guess from language priors.
「诗言志，歌永言，声依永，律和声。」—《尚书·舜典》
Sister dataset (training)
universe-team/universeset
Live museum demo
http://143.89.224.8:8790/
What's here
Two views of the same benchmark:
Subset… See the full description on the dataset page: https://huggingface.co/datasets/universe-team/universebench.Arabic-news-daily
Arabic News Daily 🗞️
A daily-updated, multi-domain Arabic news dataset collected automatically from 15 curated sources.
Unlike other Arabic datasets that are static snapshots, this dataset grows every day — making it ideal for research requiring fresh, current Arabic text across diverse domains.
Sources
Source
Domain
Variety
Al Jazeera Arabic
Politics
MSA
BBC Arabic
Politics
MSA
RT Arabic
Politics
MSA
Al Arabiya
Politics
MSA
AITNews
Tech & AI… See the full description on the dataset page: https://huggingface.co/datasets/unohamza/Arabic-news-daily.unified-reasoning-dataset
Unified Reasoning Dataset
A 94,860-row English SFT collection that normalizes four synthetic reasoning and instruction datasets into one consistent schema.
Quick start
from datasets import load_dataset
dataset = load_dataset(
"j0no12/unified-reasoning-dataset",
split="train",
)
print(dataset.column_names)
# ['thinking', 'instruction', 'response', 'source']
print(dataset[0])
Dataset summary
Property
Value
Split
train only
Rows… See the full description on the dataset page: https://huggingface.co/datasets/j0no12/unified-reasoning-dataset.OpenTuringBench
📊 OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Open Large Language Models (OLLMs) are increasingly leveraged in generative AI applications, posing new challenges for detecting their outputs. We release OpenTuringBench,
a new benchmark based on OLLMs, designed to train and evaluate machine-generated text detectors on the Turing Test and Authorship Attribution problems. OpenTuringBench focuses
on a representative… See the full description on the dataset page: https://huggingface.co/datasets/MLNTeam-Unical/OpenTuringBench.anime-understanding-dataset
Anime Understanding Benchmark (WIP)
Evaluate anime knowledge found in existing LLMs. We hope to provide an easy to run evaluation on knowledge understanding in anime/manga. Better understanding in anime/manga knowledge should resulted in task such as waifu role play.
Any suggestion is open in discussion tab.
Currently in the works
[] Eval on popular models such as gpt, hermes, dolphin, llama base model
[] Add more metadata regarding of anime/manga year span
[] Suggestions… See the full description on the dataset page: https://huggingface.co/datasets/theblackcat102/anime-understanding-dataset.Reverse-baseline-bias-unbiasDoW-UFO-UAP-1
Department of War UFO/UAP Release 01 OCR + Metadata
This repository is intended as the canonical machine-readable Hugging Face dataset for public Department of War / PURSUE UFO-UAP Release 01 records.
It uses one dataset repo with internal sharding, not one repo per source file. Users can load only the table they need via named configs: pages, packets, sources, classification_markings, triage, or media_assets.
Agent-native access
This dataset ships with an importable… See the full description on the dataset page: https://huggingface.co/datasets/unmodeled-tyler/DoW-UFO-UAP-1.orc-bench
ORC-bench
Task 1: Topological Path Finding
Task 2: Topological Connectivity
Task 3: Linear Power Flow
Task 4: Contingency Analysis
Task 5: Power Grid ControlTask 6: Power Flow Optimization
Task 1: Topological Path Finding
Problem Formulation
This task assesses the spatial reasoning ability of the model by asking it to determine the shortest path between two specific buses in a given power grid state. The grid state… See the full description on the dataset page: https://huggingface.co/datasets/serval-uni-lu/orc-bench.unpredictable_phonearena-comThe UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.CrossFit-and-UnifiedQA
Dataset Card for CrossFit-and-UnifiedQA
Dataset Summary
CrossFit is a benchmark dedicated to evaluating cross-task generalization in few-shot NLP learning. It establishes a standardized evaluation paradigm and integrates 160 diverse few-shot tasks into a unified text-to-text format via NLP Few-shot Gym, facilitating reliable assessment of model generalization. UnifiedQA aims to break format boundaries in QA research by unifying over 20 datasets across four… See the full description on the dataset page: https://huggingface.co/datasets/jiluoaaron/CrossFit-and-UnifiedQA.code-verl-unified
Unified Code VERL Dataset
Overview
This dataset aggregates seven code-reasoning collections into a single VERL-formatted repository containing approximately 958,539 unique problems. The compilation prioritizes consistent extra_info structure across all source materials for seamless compatibility with VERL training frameworks.
Dataset Composition
Seven distinct splits comprise the collection:
Split
Problems
Percentage
Format
kodcode_v1_verl
434,876… See the full description on the dataset page: https://huggingface.co/datasets/sungyub/code-verl-unified.Unify-OmniBench
Unify-OmniBench
统一格式的多模态评测数据集，由 Unify-OmniBench 框架转换生成。
包含七个 benchmark，在 Dataset Viewer 右上角下拉框切换。
数据概览
Config (bench)
题目数
模态
媒体
daily_omni
1197
Video + Audio
.mp4 + .wav
omnibench
1142
Image + Audio
.png/.jpg + .mp3
omnivideobench
1000
Video (embedded audio)
.mp4
worldsense
3172
Video (embedded audio)
.mp4
future_omni
1034
Video (embedded audio)
.mp4
lvomnibench
1014
Video (embedded audio)
.mp4
videomme
2700
Video (embedded audio)
.mp4… See the full description on the dataset page: https://huggingface.co/datasets/yukiyounai/Unify-OmniBench.