datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
KMMLU
KMMLU (Korean-MMLU)
We propose KMMLU, a new Korean benchmark with 35,030 expert-level multiple-choice questions across 45 subjects ranging from humanities to STEM.
Unlike previous Korean benchmarks that are translated from existing English benchmarks, KMMLU is collected from original Korean exams, capturing linguistic and cultural aspects of the Korean language.
We test 26 publically available and proprietary LLMs, identifying significant room for improvement.
The best publicly… See the full description on the dataset page: https://huggingface.co/datasets/HAERAE-HUB/KMMLU.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.leetcode-problem-solutions
LeetCode Solution Dataset
This dataset contains community-contributed LeetCode solutions scraped from public discussions and solution pages, enriched with metadata such as vote counts, author info, tags, and full code content. The goal is to make high-quality, peer-reviewed coding solutions programmatically accessible for research, analysis, educational use, or developer tooling.
Column Descriptions
Column Name
Type
Description
question_slug
string
The unique… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-solutions.booksum
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization
Authors: Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
Introduction
The majority of available text summarization datasets include short-form source documents that lack long-range causal and temporal dependencies, and often contain strong layout and stylistic biases.
While relevant, such datasets will offer limited challenges for future generations of text… See the full description on the dataset page: https://huggingface.co/datasets/kmfoda/booksum.kernelbench-v3-runs
KernelBench-v3 — Agent Runs
2071 agent evaluations from the v3 sweep (2026-02): 10 frontier models × {RTX 3090, H100, B200} × 43–58 problems per GPU. Each row is one (model, gpu, problem) triple with correctness, speedup, baseline timing, token usage, cost, and a pointer to the agent's winning solution.py.
Companion datasets:
Infatoshi/kernelbench-v3-problems — 60 problem definitions
Infatoshi/kernelbench-hard-runs — newer KernelBench-Hard sweep (12 models × 7 problems on Blackwell… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/kernelbench-v3-runs.suno-ai-music-dataset
Suno AI Music Dataset (Multi-Genre Curated)
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track ships with full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema designed for downstream audio-ML research.
This is not a "scrape everything Suno produces" dump. It is a… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/suno-ai-music-dataset.MA_Query_Expansion_MLT26processed_fake_job_postingsRaon-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.Krea-2-Raw_samples_Best_ofThis dataset is a highly diverse set of high quality images generated with Krea 2 Raw.
NOTE: Raw is not intended for image generation, so do not use these images to judge the quality of the model.
Raw is intended for training, as are the samples in this dataset as they can be used for regularization.
Possible uses
Regularization images for training models based on Krea 2 Raw
Quality testing
Data source
This dataset is derived from… See the full description on the dataset page: https://huggingface.co/datasets/stablellama/Krea-2-Raw_samples_Best_of.FINDER_API_KEY_AI_SEARCH_2023
FINDER_API_KEY_AI_SEARCH_2023
tags: data collection, machine learning, API performance
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'FINDER_API_KEY_AI_SEARCH_2023' dataset is designed to collect and analyze data from various AI search engines and their associated API performance metrics. The dataset focuses on the effectiveness of API key-based access in enhancing the search capabilities of AI systems and includes a… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/FINDER_API_KEY_AI_SEARCH_2023.CogStream
CogStream Dataset
Dataset for CogStream: Context-guided Streaming Video Question Answering.
Overview
CogStream is a streaming video QA dataset designed to evaluate context-guided video reasoning. Models must identify and utilize relevant historical context to answer questions about ongoing video streams.
Statistics:
Split
Videos
QA Pairs
Train
852
55,623
Test
236
15,364
Total
1,088
70,987
Sources: MovieChat (40.2%), MECD (16.8%), QVhighlights (9.8%)… See the full description on the dataset page: https://huggingface.co/datasets/SII-KYW/CogStream.CulturalBench
CulturalBench - a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs
📌 Resources: Paper | Leaderboard
📘 Description of CulturalBench
CulturalBench is a set of 1,227 human-written and human-verified questions for effectively assessing LLMs’ cultural knowledge, covering 45 global regions including the underrepresented ones like Bangladesh, Zimbabwe, and Peru.
We evaluate models on two setups: CulturalBench-Easy and… See the full description on the dataset page: https://huggingface.co/datasets/kellycyy/CulturalBench.bangladesh-stock-market-dataset
Bangladesh Stock Market Dataset: 27 Years of Open-Source Dhaka Stock Exchange Data with Technical Indicators and Deep Learning Benchmarks
Author: Kawser Sikder
Overview
A comprehensive, open-source financial dataset covering 441 publicly traded instruments across 23 industry sectors of the Dhaka Stock Exchange (DSE), Bangladesh's principal securities market.
Metric
Value
Total Stocks
441
Total Sectors
23
Total Trading Records
1,507,388
Date Range… See the full description on the dataset page: https://huggingface.co/datasets/kawsersikder/bangladesh-stock-market-dataset.platonic-all-experimentsleetcode-problem-set
LeetCode Scraper Dataset
This dataset contains information scraped from LeetCode. It is designed to assist developers in analyzing LeetCode problems, generating insights, and building tools for competitive programming or educational purposes.
Dataset Contents
The dataset includes the following files:
problem_set.csv
Contains a list of LeetCode problems with metadata such as difficulty, acceptance rate, tags, and more.
Columns:
acRate: Acceptance rate of the… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-set.kraken-trading-data
📈 Kraken Trading Data Collection
Overview
High-frequency cryptocurrency market data from Kraken exchange - perfect for algorithmic trading, time-series forecasting, and market microstructure analysis.
This dataset includes real-time price, volume, and order book data for 9 major cryptocurrency trading pairs, collected via WebSocket streaming and REST API polling.
📊 Included Trading Pairs
Pair
Asset
Base Currency
Typical Daily Volume
XXBTZUSD… See the full description on the dataset page: https://huggingface.co/datasets/GotThatData/kraken-trading-data.Krea-2-Raw_samples_Best_ofThis dataset is a highly diverse set of high quality images generated with Krea 2 Raw.
NOTE: Raw is not intended for image generation, so do not use these images to judge the quality of the model.
Raw is intended for training, as are the samples in this dataset as they can be used for regularization.
Possible uses
Regularization images for training models based on Krea 2 Raw
Quality testing
Data source
This dataset is derived from… See the full description on the dataset page: https://huggingface.co/datasets/SBMM75/Krea-2-Raw_samples_Best_of.The-Bible-KJVahr999-dataset
AHR999 BTC Hoarding Index Dataset
Open, daily-updated AHR999 BTC hoarding index dataset, self-computed from
Binance BTCUSDT daily closes and published as CSV and JSON.
This Hugging Face repository is a mirror. The canonical dataset endpoints are:
Dashboard: https://ahr999.aix4u.com/
GitHub: https://github.com/RuochenLyu/ahr999-dataset
CSV endpoint: https://ahr999.aix4u.com/datasets/ahr999.csv
JSON endpoint: https://ahr999.aix4u.com/datasets/ahr999.json
Kaggle discovery mirror:… See the full description on the dataset page: https://huggingface.co/datasets/kshift/ahr999-dataset.Koala-36M-v1leetcode-problem-detailed
LeetCode Scraper Dataset
This dataset contains information scraped from LeetCode, including problem details, metadata, and related files. It is designed to assist developers in analyzing LeetCode problems, generating insights, and building tools for competitive programming or educational purposes.
questions_deets.csv
Contains detailed information about each problem, including problem descriptions, constraints, and examples.
Columns:
questionFrontendId: Unique problem ID.… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-detailed.RoBo6
RoBo6: Standardized MMT Light Curve Dataset For Rocket Body Classification
Dataset contains light curves of 6 rocket body types from Mini Mega Tortora database (MMT)[^1]. The dataset was created to be used as a benchmark for rocket body light curve classification.For more informations follow the original paper: RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification[^2]
Class labels:
ARIANE 5 R/B
ATLAS 5… See the full description on the dataset page: https://huggingface.co/datasets/kyselica/RoBo6.peka_persian_knowledge_assessment
PeKA (Persian Knowledge Assessment)
PeKA is a dataset introduced in the paper "Advancing Persian LLM Evaluation", accepted at NAACL 2025 findings. It was developed as part of a broader effort to evaluate and benchmark large language models (LLMs) for multiple Persian knowledge topics.
For comprehensive details regarding the dataset’s construction, scope, task, and intended use, please refer to the original paper.
This dataset is constructed so that answering these questions… See the full description on the dataset page: https://huggingface.co/datasets/MatinaAI/peka_persian_knowledge_assessment.hand_gesture_dataThe study is conducted on a total of 7 participants. The participants were instructed to perform three hand gestures (Hold, Single Tap and Double Tap) under different light conditions (low(100-200 lux, medium (600-750 lux) and high (1500-1600 lux)) and at different distances from the light sensor (low(2-4 cm) and high(8-10 cm))
kepler-objects-of-interestSekai2_Real_World
Sekai2 Real World
This repository releases the reproducible URL/timestamp metadata and paired
camera-pose/caption annotations for the perspective-video portion of
Sekai2. See the paper: Sekai2: From World Exploration to Interactive World Modeling.
Resources: 🌐 Project Page · 💻 GitHub · 📄 Paper
The perspective MP4 clips are not redistributed here. Each row in
sekai2_clips.csv provides the source URL and the exact half-open frame range
[start_frame, end_frame) in a canonical 30… See the full description on the dataset page: https://huggingface.co/datasets/Kangverse/Sekai2_Real_World.sportsbookish-daily-odds
SportsBookISH Daily Kalshi vs Sportsbook Odds
Real-time pricing snapshot comparing Kalshi event-contract probabilities against US sportsbook consensus across nine sports.
Description
Daily-refreshed JSON / CSV export of every active Kalshi market alongside the de-vigged book median across 13+ US sportsbooks. Covers golf (PGA Tour), NFL, NBA, MLB, NHL, EPL, MLS, UEFA Champions League, and FIFA World Cup.
Source
Live data plane:
JSON:… See the full description on the dataset page: https://huggingface.co/datasets/kennyhyder/sportsbookish-daily-odds.honesty-index
The Kerne Honesty Index
What each synthetic dollar advertises, next to what it actually paid.
Advertised APY versus realized APY for 21 synthetic dollar vaults, recomputed hourly from
ERC-4626 share price growth on chain, and signed.
The realized column is not taken from anybody's dashboard. It is measured directly from the vault
contract: convertToAssets(10**decimals) read at two block heights, divided by 10**asset_decimals,
annualized over the real elapsed time between those… See the full description on the dataset page: https://huggingface.co/datasets/kerne-protocol/honesty-index.ecommerce-behavior-data-from-multi-category-store_oct-nov_2019
eCommerce Behavior Data from Multi-Category Store
About the Dataset
This dataset contains behavioral data for 285 million user events from a large multi-category eCommerce store. The data spans 7 months (October 2019 - April 2020) and records various user interactions with products.
Dataset Overview
Time Frame: October 2019 - April 2020
Total Events: 285 million
Event Granularity: Each row represents an event associated with a product and a user.
Data Source:… See the full description on the dataset page: https://huggingface.co/datasets/kevykibbz/ecommerce-behavior-data-from-multi-category-store_oct-nov_2019.