datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pretraining_v1-omega_booksAI-CUDA-Engineer-Archive
The AI CUDA Engineer Archive 👷: Agentic CUDA Kernel Discovery, Optimization & Composition
We release The AI CUDA Engineer archive, a dataset consisting of approximately 30,000 CUDA kernels generated by The AI CUDA Engineer. It is released under the CC-By-4.0 license and can be accessed via HuggingFace and interactively visualized here. The dataset is based on the Kernel tasks provided in KernelBench and includes a torch reference implementation, torch, NCU and Clang-tidy… See the full description on the dataset page: https://huggingface.co/datasets/SakanaAI/AI-CUDA-Engineer-Archive.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.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.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.aime_2025
AIME 2025
This dataset contains 30 problems from the 2025 AIME tests, including:
AIME I: 15 problems
AIME II: 15 problems
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
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.arc-whestbench-public-2026
Organized by:
Alignment Research Center (ARC),
AIcrowd
WhestBench 2026: ARC White-Box Estimation Challenge
WhestBench is a benchmark for white-box activation estimation: given the weights of a randomly initialized ReLU multi-layer perceptron (MLP) and a strict floating-point-operation (FLOP) budget, predict the average post-activation value of every neuron when the network is fed standard Gaussian inputs.
This is the WhestBench 2026… See the full description on the dataset page: https://huggingface.co/datasets/aicrowd/arc-whestbench-public-2026.cad-gen-freecad-bench
Parametric CAD Bench — results dataset
Run-by-run results for Parametric CAD Bench, a benchmark that
measures whether AI agents can author editable FreeCAD models from
natural-language part descriptions. 1000 rows, one per
(agent, model, task_id, trial) over the
gnucleus-ai/cad-bench@v1
task suite. The public leaderboard view of this data lives at
cadbench.ai.
What's in here
data/cad-bench-v1.parquet — the row table. Each row carries the
composite + sub-scores… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad-bench.aimo-validation-amc
Dataset Card for AIMO Validation AMC
All 83 come from AMC12 2022, AMC12 2023, and have been extracted from the AOPS wiki page https://artofproblemsolving.com/wiki/index.php/AMC_12_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 modified problem statement… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aimo-validation-amc.thai-commoncrawl-index
Thai Common Crawl Index (2019–2026)
An index of every page Common Crawl detected as Thai across 70 monthly crawls, from
January 2019 (CC-MAIN-2019-04) to August 2026 (CC-MAIN-2026-30).
932,874,727 page captures · 450,971,497 unique URLs · 6,997,185 hosts · 6,674,969 domains
Each row records where the page lives inside Common Crawl's WARC archives — file name,
byte offset, and record length — so you can fetch exactly the pages you want with HTTP
range requests, without scanning… See the full description on the dataset page: https://huggingface.co/datasets/wayu-ai/thai-commoncrawl-index.aitw-processed-labeled-full
AiTW Processed Full with App Labels
This repository contains a full processed Android in the Wild (AiTW) mirror together with an app-labeled step index, official split assignment by episode_id, major-app statistics, and a ready-to-train Gmail subset.
Why This Exists
AiTW is large and not easy to navigate by app. The original labels contain useful fields such as goal_info, current_activity, and action coordinates, but users often need extra processing before they… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/aitw-processed-labeled-full.the-heap
The Heap Dataset
We develop The Heap, a new contamination-free multilingual code dataset comprising 57 languages, which facilitates LLM evaluation reproducibility. The reproduction packge can be found here.
Is your code in The Heap?
If you would like to have your data removed from the dataset, follow the instructions on GitHub.
Citation
If you use this dataset as part of your research please cite us:
@INPROCEEDINGS {11052803,
author = { Katzy, Jonathan and… See the full description on the dataset page: https://huggingface.co/datasets/AISE-TUDelft/the-heap.MSR_Intermediateworldcup2026
⚽ WorldCup Arena
A Leakage-Free Forecasting Benchmark on a Live Tournament
Can a language model forecast a match — when the match had not been played at the moment it was asked?
🌐 Language / 语言 : 中文 ▾
📊 四张表
点开本页顶部的 Data Studio 标签即可浏览，也可以直接按名字加载。
Config
行数
内容
fixtures
104
基准本体 —— 喂给模型的头部信息，以及结算后的 90 分钟赛果，七个盘口全部推导好（outcome_1x2、over_2_5、both_score、odd_total）
dossiers
2,208
简报索引 —— 46 快照 × 48… See the full description on the dataset page: https://huggingface.co/datasets/Social-AI-2026/worldcup2026.AIDev
AIDev: Studying AI Coding Agents on GitHub (The Rise of AI Teammates in Software Engineering 3.0)
Papers:
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
AIDev: Studying AI Coding Agents on GitHub
GitHub: https://github.com/SAILResearch/AI_Teammates_in_SE3
This is AIDev v4 (AIDev-2.7M, cutoff date of Nov 2025). Other versions are available
as git tags and can be loaded with… See the full description on the dataset page: https://huggingface.co/datasets/hao-li/AIDev.vifailback-dataset-lerobot
ViFailback Dataset — LeRobot
This repository is a LeRobot v2.1 conversion of the trajectory portion of sii-rhos-ai/ViFailback-Dataset, introduced in the CVPR 2026 paper Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols.
ViFailback contains real-world ALOHA dual-arm manipulation trajectories designed for studying failure diagnosis, failure localization, corrective guidance, recovery, and learning… See the full description on the dataset page: https://huggingface.co/datasets/sii-rhos-ai/vifailback-dataset-lerobot.whestbench-smoke-mlp
Organized by:
Alignment Research Center (ARC),
AIcrowd
WhestBench 2026: ARC White-Box Estimation Challenge
WhestBench is a benchmark for white-box activation estimation: given the weights of a randomly initialized ReLU multi-layer perceptron (MLP) and a strict floating-point-operation (FLOP) budget, predict the average post-activation value of every neuron when the network is fed standard Gaussian inputs.
This is the train dataset for… See the full description on the dataset page: https://huggingface.co/datasets/aicrowd/whestbench-smoke-mlp.epoch_ai_swebench_verified
Epoch AI SWE-bench Verified Traces
Complete public trace archives and an analysis-ready Parquet conversion of Epoch AI's SWE-bench Verified evaluations.
Contents
34 published evaluation runs covering 16,456 traces (484 SWE-bench instances per run).
data/: loadable Parquet data, one exact trace per row.
original/: the byte-identical .eval archives published by Epoch AI.
run_metadata/: non-sample files from each .eval archive (header.json, summaries, reductions… See the full description on the dataset page: https://huggingface.co/datasets/naderalfares/epoch_ai_swebench_verified.AIME_Problem_Set_1983-2024indic_glue
Dataset Card for "indic_glue"
Dataset Summary
IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide
variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te.
The Winograd Schema Challenge (Levesque et al., 2011) is a reading comprehension task
in which a system must read a sentence with a pronoun and select the referent of that pronoun from
a list of choices. The examples are manually… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/indic_glue.AIME-solutionsragbench
RAGBench
Dataset Overview
RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples.
It covers five unique industry-specific domains and various RAG task types.
RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications.
RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits
Usage
from datasets import load_dataset
# load… See the full description on the dataset page: https://huggingface.co/datasets/galileo-ai/ragbench.aime_2024_I
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME I 2024 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.… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2024_I.aime_2024_II
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME II 2024 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.… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2024_II.aime_1983_2023_deepseek-r1_traces_16384tracker-pov-imu
Eidon Tracker POV: IMU
24 Hz orientation and motion data from a seven-point IMU harness, paired with the egocentric
video in eidon-ai/tracker-pov.
One row per (recording, timestamp, body slot), roughly 780 million rows. Join to the video
metadata on recording_id.
This repo holds the sensor data only. There is no video here.
The release sits in three places:
Contents
Size
tracker-pov
the 13,451 MP4s and metadata.parquet
9.05 TB
this repo… See the full description on the dataset page: https://huggingface.co/datasets/eidon-ai/tracker-pov-imu.AI4OPT-TS4PS-RTE7000
Dataset Summary
This dataset contains processed power system data for France, combining electrical network topology with load and generation time series.
It is intended to support power system analysis, time‑series modeling, and data‑driven studies.
The data consists of analysis‑ready tabular files derived from publicly available sources and reorganized into structured CSV and Parquet formats.
Dataset Structure
The dataset includes network topology components… See the full description on the dataset page: https://huggingface.co/datasets/OpenSynth/AI4OPT-TS4PS-RTE7000.SEA-NLI
Dataset Card for SEA-NLI
SEA-NLI is a culturally grounded Natural Language Inference (NLI) benchmark specifically designed to evaluate how well Large Language Models (LLMs) understand the diverse cultural nuances of SouthEast Asia.
Dataset Details
Dataset Description
SEA-NLI moves beyond standard NLI datasets that often rely on simple lexical overlap or translated English content. Instead, it focuses on premise–hypothesis pairs centered on specific… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/SEA-NLI.