datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ai2_arc
Dataset Card for "ai2_arc"
Dataset Summary
A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
including a corpus of over 14 million science sentences… See the full description on the dataset page: https://huggingface.co/datasets/allenai/ai2_arc.pretraining_v1-omega_booksNuminaMath-CoT
Dataset Card for NuminaMath CoT
Dataset Summary
Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-CoT.common_voice_17_0NuminaMath-1.5
Dataset Card for NuminaMath 1.5
Dataset Summary
This is the second iteration of the popular NuminaMath dataset, bringing high quality post-training data for approximately 900k competition-level math problems. Each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-1.5.tracker-pov
Eidon Tracker POV
1,274 hours of egocentric video paired with 7-point IMU arm tracking, recorded during ordinary household work.
Contributors wore a head-mounted camera and a seven-sensor IMU harness while doing real chores in their own homes: laundry, cleaning, dishes, cooking. Each recording pairs first-person video with 24 Hz orientation data for both hands, both forearms, both upper arms, and the chest.
This is a complete, final release. Eidon AI (Solidic Labs Inc) has wound… See the full description on the dataset page: https://huggingface.co/datasets/eidon-ai/tracker-pov.aime25
AIME 25
American Invitational Mathematics Examination (AIME) 2025
Citation
If you use the AIME25 dataset in your research, please consider citing it as follows:
@misc{aime25,
title={American Invitational Mathematics Examination (AIME) 2025},
author={Zhang, Yifan and Math-AI, Team},
year={2025},
}
covost2This is a partial copy of CoVoST2 dataset.
The main difference is that the audio data is included in the dataset, which makes usage easier and allows browsing the samples using HF Dataset Viewer.
The limitation of this method is that all audio samples of the EN_XX subsets are duplicated, as such the size of the dataset is larger.
As such, not all the data is included: Only the validation and test subsets are available.
From the XX_EN subsets, only fr, es, and zh-CN are included.
leaderboard-dataset
Arena Leaderboard Dataset
Historical snapshots of the Arena leaderboard.
Usage
from datasets import load_dataset
# Load all historical text style control data
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="full")
# Load the current text style control leaderboard
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="latest")
# Filter to overall category
ds =… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset.RobotDesign1M
RobotDesign1M: A Large-scale Dataset for Robot Design Understanding
RobotDesign1M is a large-scale, multimodal dataset for robot design understanding, built from image–text data curated from scientific literature across a wide range of robotics domains. It is designed to support research on design-aware foundation models, including design image generation, visual question answering about designs, and design image retrieval.
📄 Paper: RobotDesign1M: A Large-scale Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Fsoft-AIC/RobotDesign1M.L2DTL;DR of L2D, the world's largest self-driving dataset! Read more about L2D on the official Huggingface blog: LeRobot goes to driving school
90+ TeraBytes of multimodal data (5000+ hours of driving) from 30 cities in Germany
6x surrounding HD cameras and complete vehicle state: Speed/Heading/GPS/IMU
Continuous: Gas/Brake/Steering and discrete actions: Gear/Turn Signals
Environment state: Lane count, Road type (highway|residential), Road surface (asphalt, cobbled, sett), Max speed limit.… See the full description on the dataset page: https://huggingface.co/datasets/yaak-ai/L2D.AIME_2024
AIME 2024 Dataset
Dataset Description
This dataset contains problems from the American Invitational Mathematics Examination (AIME) 2024. AIME is a prestigious high school mathematics competition known for its challenging mathematical problems.
Dataset Details
Format: JSONL
Size: 30 records
Source: AIME 2024 I & II
Language: English
Data Fields
Each record contains the following fields:
ID: Problem identifier (e.g., "2024-I-1" represents Problem 1… See the full description on the dataset page: https://huggingface.co/datasets/Maxwell-Jia/AIME_2024.fineweb-edu-fortified
Fineweb-Edu-Fortified
The composition of fineweb-edu-fortified, produced by automatically clustering a 500k row sample in
Airtrain
What is it?
Fineweb-Edu-Fortified is a dataset derived from
Fineweb-Edu by applying exact-match
deduplication across the whole dataset and producing an embedding for each row. The number of times
the text from each row appears is also included as a count column. The embeddings were produced
using TaylorAI/bge-micro
Fineweb and… See the full description on the dataset page: https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified.cad-environments
CAD Environments
CAD Environments is a multimodal dataset of complete, human-performed workflows in desktop CAD software. The current release contains 51 task workflows totaling 99.03 hours, covering eight software groups across mechanical design, architecture, MEP, structural design, and general 3D modeling.
Each workflow preserves the full task context—not just the final model—including the problem statement, reference and input files, a gold output, evaluation rubrics, a… See the full description on the dataset page: https://huggingface.co/datasets/markov-ai/cad-environments.computer-use-large
Computer Use Large
A large-scale dataset of 48,478 screen recording videos (~12,300 hours) of professional software being used, sourced from the internet. All videos have been trimmed to remove non-screen-recording content (intros, outros, talking heads, transitions) and audio has been stripped.
Dataset Summary
Category
Videos
Hours
AutoCAD
10,059
2,149
Blender
11,493
3,624
Excel
8,111
2,002
Photoshop
10,704
2,060
Salesforce
7,807
2,336
VS… See the full description on the dataset page: https://huggingface.co/datasets/markov-ai/computer-use-large.aops
AoPS: Art of Problem Solving Competition Mathematics
Dataset Description
This dataset is a collection of 80,661 competition mathematics problems and solutions obtained from the Art of Problem Solving (AoPS) community wiki and forums. It covers a wide range of mathematical contests and olympiads, including problems from events such as AIME, BAMO, IMO, and various national and memorial competitions.
The dataset was curated by AI-MO (Project Numina), an initiative focused on… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aops.aime_2024
Dataset card for AIME 2024
This dataset consists of 30 problems from the 2024 AIME I and AIME II tests. The original source is AI-MO/aimo-validation-aime, which contains a larger set of 90 problems from AIME 2022-2024.
HLE-Verified
HLE-Verified
A Systematic Verification and Structured Revision of Humanity’s Last Exam
Overview
Humanity’s Last Exam (HLE) is a high-difficulty, multi-domain benchmark designed to evaluate advanced reasoning capabilities across diverse scientific and technical domains.
Following its public release, members of the open-source community raised concerns regarding the reliability of certain items. Community discussions and informal replication attempts suggested that some… See the full description on the dataset page: https://huggingface.co/datasets/skylenage-ai/HLE-Verified.sangraha
Sangraha
Sangraha is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
More information:
For detailed information on the curation and cleaning process of Sangraha, please checkout our paper on Arxiv;
Check out the scraping and cleaning pipelines used to curate Sangraha on GitHub;
Getting Started
For… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/sangraha.GenEvolve-Data-Bench
GenEvolve Data and Bench
This repository contains the open-source data release for GenEvolve:
Config
Directory
Records
Images
Purpose
sft
GenEvolve-Data-SFT/
9,000 trajectories
50,291 reference images
supervised cold-start trajectories
rl
GenEvolve-Data-RL/
3,175 prompts
3,175 GT images
self-evolution / RL training prompts
bench
GenEvolve-Bench/
594 prompts
594 GT images
held-out evaluation benchmarkAll metadata is provided in both JSONL and Parquet. The Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/MeiGen-AI/GenEvolve-Data-Bench.MOSAIC-Refactoring
Agentic Pull Request Dataset
Dataset Overview
The dataset contains 4,910,698 Pull Requests in total, consisting of 4,392,818 agent-authored PRs from 10 agents and 517,880 human-authored PRs. The agent-authored PRs come from Claude, Codegen, Codex, Copilot, Cosine, Cursor, Devin, Jules, Junie, and OpenHands. A summary of the dataset is presented below.
Cohort
Pull Requests
Merged Pull Requests
Repositories
Sum of Additions
Sum of Deletions
Humans
517880… See the full description on the dataset page: https://huggingface.co/datasets/AISE-TUDelft/MOSAIC-Refactoring.aime_2025
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME 2025 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
problem (string): Problem statement, usually stored as LaTeX source.
answer (int64): Gold final answer.
problem_type… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2025.aime_2026
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME 2026 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
answer (int64): Gold final answer.
problem (string): Problem statement, usually stored as LaTeX source.
Source… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2026.aime_2025
AIME 2025
This dataset contains 30 problems from the 2025 AIME tests, including:
AIME I: 15 problems
AIME II: 15 problems
telegram-news-ua-dataset
Aisberg Telegram News UA
A continuously updated, de-identified corpus of Ukrainian Telegram news and the discussion around it, published by the Ukrainian non-profit Aisberg (ГО «АЙЗБЕРГ»). It comes in two layers. The first is the raw monthly stream: every post from a fixed set of public news channels, with its reactions and its comment thread. The second is the analysis behind every report Aisberg publishes: posts from different channels grouped into one event, the manipulation… See the full description on the dataset page: https://huggingface.co/datasets/aisbergpublicorganization/telegram-news-ua-dataset.emotion
Dataset Card for "emotion"
Dataset Summary
Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
An example looks as follows.
{
"text": "im feeling quite sad and sorry for myself but… See the full description on the dataset page: https://huggingface.co/datasets/dair-ai/emotion.aime26
AIME 26
American Invitational Mathematics Examination (AIME) 2026
Citation
If you use the AIME26 dataset in your research, please consider citing it as follows:
@misc{aime26,
title={American Invitational Mathematics Examination (AIME) 2026},
author={Zhang, Yifan and Math-AI, Team},
year={2026},
}
aimo-validation-aime
Dataset Card for AIMO Validation AIME
All 90 problems come from AIME 22, AIME 23, and AIME 24, and have been extracted directly from the AOPS wiki page https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions
This dataset serves as an internal validation set during our participation in the AIMO progress prize competition. Using data after 2021 is to avoid potential overlap with the MATH training set.
Here are the different columns in the dataset:
problem: the… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aimo-validation-aime.MathVista
Dataset Card for MathVista
Dataset Description
Paper Information
Dataset Examples
Leaderboard
Dataset Usage
Data Downloading
Data Format
Data Visualization
Data Source
Automatic Evaluation
License
Citation
Dataset Description
MathVista is a consolidated Mathematical reasoning benchmark within Visual contexts. It consists of three newly created datasets, IQTest, FunctionQA, and PaperQA, which address the missing visual domains and are tailored to evaluate logical… See the full description on the dataset page: https://huggingface.co/datasets/AI4Math/MathVista.distilabel-intel-orca-dpo-pairs-binarizedThis is the binarized version of distilabel Orca Pairs for DPO and ORPO.
Reference: https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs?row=0