Datasets:

cfahlgren1
/

hub-stats

_id large_stringlengths 24 24	id large_stringlengths 4 123	author large_stringlengths 2 42	cardData large_stringlengths 2 1.09M ⌀	disabled bool 1 class	gated large_stringclasses 3 values	lastModified timestamp[us]date 2021-02-05 16:03:35 2026-06-13 13:17:41	likes int64 0 9.74k	trendingScore float64 0 161	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 2.15M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-06-13 13:16:54	paperswithcode_id large_stringclasses 710 values	citation large_stringlengths 0 10.7k ⌀
69fc1f1a2042bc11f9fc0092	agents-last-exam/agents-last-exam	agents-last-exam	{"license": "cc-by-4.0", "language": ["en"], "tags": ["computer-use-agents", "agent-benchmark", "benchmark", "evaluation"], "pretty_name": "Agents Last Exam \u2014 Task Card Metadata", "configs": [{"config_name": "default", "data_files": [{"split": "v1.0", "path": "task_cards.parquet"}]}]}	false	False	2026-06-12T18:28:44	166	161	false	b07f71f2b82477f02c8c4e1b885fa032e16aed86	Agents Last Exam — Task Card Metadata (v1.0) A metadata-only release (v1.0) of 153 tasks from the Agents Last Exam (ALE) benchmark for evaluating computer-use agents on long-horizon professional work. The Agents Last Exam dataset family ALE is published as three companion HuggingFace datas...	4,043	4,075	194,603	[ "language:en", "license:cc-by-4.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "computer-use-agents", "agent-benchmark", "benchmark", "evaluation" ]	2026-05-07T05:11:54	null	null
69f7b3cc62d65c8f39fe7270	stanford-vision-lab/gpic	stanford-vision-lab	{"viewer": false, "license": "mit", "language": ["en"]}	false	auto	2026-06-04T19:45:37	123	56	false	ab5a293b37a2d2e3d8228518c61b6ffbe4458c55	GPIC: A Giant Permissive Image Corpus for Visual Generation Keshigeyan Chandrasegaran1,  Kyle Sargent1,  Suchir Agarwal1,  Michael Jang1,  Michael Poli1,2,  Juan Carlos Niebles1,4,  Justin Johnson3,  Jiaju...	146,735	149,469	12,952,181,356,563	[ "language:en", "license:mit", "arxiv:2605.30341", "region:us" ]	2026-05-03T20:45:00	null	null
66ec310ff6a692d629b2667b	wikimedia/structured-wikipedia	wikimedia	{"language": ["en", "fr"], "pretty_name": "Wikimedia Structured Contents Dataset", "tags": ["wikipedia", "wikimedia", "structured-data", "parquet", "knowledge-base", "references", "citations", "tables", "multilingual"], "configs": [{"config_name": "enwiki_namespace_0", "data_files": [{"split": "train", "path": "enwiki/...	false	False	2026-05-19T12:54:16	362	55	false	417c267bb457fa645c22eb3b5c77764963194c70	Dataset Card for Wikimedia Structured Wikipedia Quick Links Wikimedia Enterprise Structured Contents Documentation Data Dictionary Wikimedia Attribution Framework Meta-Wiki Discussion Dataset Summary Pre-parsed English and French Wikipedia articles, extracted using the Wik...	16,034	38,784	72,556,848,943	[ "language:en", "language:fr", "license:cc-by-sa-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "wikipedia", "wikimedia", "structured-data", "parquet", "knowledge-base", "...	2024-09-19T14:11:27	null	null
69f434edee1d16ec78d229ce	angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k	angrygiraffe	{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["sft", "chain-of-thought", "coding", "math", "roleplay", "science", "humanities", "art", "multi-turn", "text", "json"], "pretty_name": "Claude Opus 4.6/4.7 Reasoning Dataset", "size_categories": ["1K<n<1...	false	False	2026-05-01T17:11:41	366	37	false	f0330e0ca46469b3928adef18c2b55f9476d6bd3	Background Ended up with some tokens to burn on a Claude Max plan. Assembly began during 4.6 and moved to 4.7. Model is tagged. The development evolved as it went along. The dataset has not been manually reviewed. It's entirely Claude developed. Clarification on Reasoning The reasoning is not Clau...	9,191	11,337	null	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "region:us", "sft", "chain-of-thought", "coding", "math",...	2026-05-01T05:06:53	null	null
6a18688b49129d13bb56ba50	nvidia/Nemotron-Pretraining-Code-v3	nvidia	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "tags": ["text", "pre-training", "human", "legal", "Nemotron_3_Ultra"], "language": ["code"], "size_categories": ["100M<n<1B"], "configs": [{"config_name": "Nemotron-Code-Metadata", "data_files": [{"path": ["Nemotron-Code-Metadata/part_00000.parquet", "Ne...	false	False	2026-06-04T05:22:40	46	33	false	9b42feaec991c69006452e6654d91a58a04d935a	Nemotron-Pretraining-Code-v3 Dataset Description: The Nemotron-Pretraining-Code-v3 dataset is part of the Nemotron Pretraining Data collection of pretraining datasets. Designed for the NVIDIA Nemotron 3 family of LLMs, this dataset is intended to improve the coding capabilities of LLMs. Th...	1,331	1,331	8,220,044,612	[ "task_categories:text-generation", "language:code", "license:cc-by-4.0", "size_categories:100M<n<1B", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "text", "pre-training", "human", "legal", "Nemotron_3_Ult...	2026-05-28T16:08:43	null	null
6a0eb43154ff1b9068f42571	openbmb/UltraData-SFT-2605	openbmb	{"language": ["en", "zh"], "license": "apache-2.0", "size_categories": ["10B<n<100B"], "task_categories": ["text-generation", "question-answering"], "pretty_name": "UltraData-SFT-2605", "tags": ["llm", "sft", "supervised-fine-tuning", "post-training", "deep-thinking", "reasoning", "instruction-following", "math", "code...	false	auto	2026-05-28T17:18:14	341	28	false	affda6aca75e7cff78e73f93ad08d4c3b01f097c	UltraData-SFT-2605 📦 UltraData Collection \| 🌐 UltraData \| 🤗 MiniCPM5 Series English \| 中文 📚 Introduction UltraData-SFT-2605 is the full set of core-domain SFT data used in the post-training of MiniCPM5-1B-SFT within the MiniCPM5-1B series, and a key representative of L3 ref...	40,491	40,491	318,990,664,596	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "language:zh", "license:apache-2.0", "size_categories:10B<n<100B", "arxiv:2602.09003", "region:us", "llm", "sft", "supervised-fine-tuning", "post-training", "deep-thinking", "reasoning", "instruction-...	2026-05-21T07:28:49	null	null
6a21ab4879603ac03e5cef41	nvidia/Nemotron-Personas-Vietnam	nvidia	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "language": ["vi"], "tags": ["synthetic", "personas", "NVIDIA", "Vietnamese", "datadesigner"], "size_categories": ["100K<n<1M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "professional_persona", "dtype": "string"}, {"name...	false	False	2026-06-05T12:32:08	47	25	false	e39e5096428256b2edfa2f73351f7bab02d70424	Nemotron-Personas-Vietnam Hệ thống AI kết hợp để tạo personas tổng hợp dựa trên phân bố thực tế của Việt Nam A compound AI approach to personas grounded in real-world distributions Tổng quan (Overview) Nemotron-Personas-Vietnam là tập dữ liệu personas được cung cấp dưới...	4,969	4,969	123,111,005	[ "task_categories:text-generation", "language:vi", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "library:datadesigner", "region:us", "synthetic", "perso...	2026-06-04T16:43:52	null	null
6a1fb3f4aa35c86b3f202fe5	nvidia/Nemotron-Personas-El-Salvador	nvidia	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "language": ["es"], "tags": ["synthetic", "personas", "NVIDIA", "datadesigner", "sovereign-ai", "el-salvador"], "size_categories": ["100K<n<1M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "professional_persona", "dtype": ...	false	False	2026-06-05T11:16:23	53	22	false	68f6a21c17973d6a34ac6354d50a31c1fbcec14f	Nemotron-Personas-El-Salvador Un enfoque de IA compuesta para personas en español salvadoreño ancladas en distribuciones del mundo real A compound AI approach to Salvadoran Spanish personas grounded in real-world distributions Resumen del conjunto de datos (Dataset Overvie...	4,039	4,039	571,195,004	[ "task_categories:text-generation", "language:es", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "format:optimized-parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "library:datadesigner", "region:us", "synthetic", ...	2026-06-03T04:56:20	null	null
6986cb617ee2b3c146bd2432	openbmb/Ultra-FineWeb-L3	openbmb	{"language": ["en", "zh"], "license": "apache-2.0", "size_categories": ["100B<n<1T"], "task_categories": ["text-generation"], "pretty_name": "Ultra-FineWeb-L3", "tags": ["llm", "pretraining", "data-synthesis", "data-filtering", "high-quality", "general-knowledge", "qa-generation", "multi-style-rewriting", "minicpm"], "...	false	False	2026-05-28T09:03:52	288	20	false	c68ab81ad03b2d2f476fa8ab3c72bed3528da359	Ultra-FineWeb-L3 📜 Ultra-FineWeb Technical Report \| 📦 UltraData Collection \| 🌐 UltraData \| 🤗 MiniCPM5 Series English \| 中文 📚 Introduction Ultra-FineWeb-L3 is the L3 refined data for general high-quality web data within UltraData's L0-L4 tiered data management framework. Moving...	69,778	72,224	1,899,216,536,437	[ "task_categories:text-generation", "language:en", "language:zh", "license:apache-2.0", "size_categories:1B<n<10B", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2505.05427", "arxiv:2602.09003", "region:us", "llm", ...	2026-02-07T05:19:29	null	null
6a2cd0828137fb18cecbcc06	Glint-Research/Fable-5-traces	Glint-Research	{"license": "agpl-3.0"}	false	False	2026-06-13T03:40:44	20	20	false	09b830ea26854896ef62b8cc97c08953743929b7	A simple dataset of all the Fable 5 data we could get our hands on before it was taken away (no clue if it's coming back). Expect some fine-tuned models trained on this soon. Big thanks to the TeichAI team (weird thanking myself, lol) for providing 953 traces, while I added the CoT data.	41	41	69,839,476	[ "license:agpl-3.0", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-13T03:37:38	null	null
6a05fb804b04c5157df46866	WithinUsAI/claude_mythos_distilled_25k	WithinUsAI	{"license": "apache-2.0", "language": ["en"], "tags": ["synthetic", "claude", "mythos", "distillation", "cybersecurity", "coding", "reasoning", "agentic", "frontier-model-mirror", "sft", "instruction-tuning"], "size_categories": ["10K<n<100K"], "pretty_name": "Claude Mythos Distilled 25K", "dataset_info": {"features": ...	false	False	2026-05-18T00:45:03	49	19	false	2c5e638c51a22b8b883def51bab685ae7e282c72	Claude Mythos Distilled 25K A high-quality synthetic supervised fine-tuning (SFT) dataset designed to train and fine-tune any LLM to mirror the capabilities, reasoning style, agentic behavior, and technical depth of Anthropic's Claude Mythos (distilled frontier model). Dataset Summary Size: 25,00...	1,372	1,378	55,202,753	[ "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "synthetic", "claude", "mythos", "distillation", "cybersecurity", "coding", "reasoning", "a...	2026-05-14T16:42:40	null	null
69f11d665ba9bf615476d1fe	MEDHARVIX-SYSTEMS/bhasaflow-khasi-english-parallel-sample-v1	MEDHARVIX-SYSTEMS	{"language": ["kha", "en"], "license": "other", "pretty_name": "BhasaFlow Khasi-English Parallel Sample v1", "size_categories": ["n<1K"], "task_categories": ["automatic-speech-recognition", "text-to-speech", "translation", "audio-classification"], "tags": ["khasi", "english", "parallel-corpus", "low-resource", "speech-...	false	False	2026-04-28T20:50:14	23	18	false	6b93c3fc2e17952caf38dab7cf10a69c3bff3fea	BhasaFlow Khasi-English Parallel Sample v1 A professionally curated, gold-standard parallel speech and text corpus for the Khasi language. Published by Medharvix Systems Private Limited Part of the BhasaFlow Low-Resource Language Technology Initiative Overview This repository contains a publ...	2,127	3,006	21,840,445	[ "task_categories:automatic-speech-recognition", "task_categories:text-to-speech", "task_categories:translation", "task_categories:audio-classification", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:multilingual", "multilinguality:translation", "sour...	2026-04-28T20:49:42	null	null
6a2044d8b379def1f184cba7	liumindmind/Neko_Audio-80K_Short	liumindmind	null	false	False	2026-06-08T16:16:43	19	18	false	87f4afc4159416ab2d4423affbf459ebd218810e		8,192	8,192	98,087,679,090	[ "size_categories:10K<n<100K", "format:json", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-03T15:14:32	null	null
69e1bed4cc8fb2e676e4aa7c	Jackrong/GLM-5.1-Reasoning-1M-Cleaned	Jackrong	{"license": "apache-2.0", "language": ["en", "zh"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "question-answering"], "tags": ["reasoning", "chain-of-thought", "instruction-tuning", "sft", "distillation", "glm", "glm-5.1", "cleaned"], "configs": [{"config_name": "main", "default": true, "d...	false	False	2026-04-19T05:05:17	273	17	false	f6d6ccafe40359d5ec2515ee25e92aac8cae9c3d	GLM-5.1-Reasoning-1M-Cleaned GLM-5.1-Reasoning-1M-Cleaned is a cleaned and reformatted derivative of Kassadin88/GLM-5.1-1000000x. It preserves the original four-subset layout (main, PHD-Science, Multilingual-STEM, Math) while converting every example into a unified SFT-ready schema with explicit conversatio...	7,165	17,933	31,734,914,777	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "language:zh", "license:apache-2.0", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "reasoning",...	2026-04-17T05:02:12	null	null
69f12b06f0d634b0a5591342	MEDHARVIX-SYSTEMS/bhasaflow-khasi-monolingual-corpus-v1	MEDHARVIX-SYSTEMS	{"language": ["kha"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "tags": ["khasi", "monolingual", "low-resource", "northeast-india", "bhasaflow", "medharvix"], "size_categories": ["n<1K"], "pretty_name": "BhasaFlow Khasi Monolingual Corpus v1"}	false	False	2026-04-30T18:22:56	21	17	false	0a41158d77500fc666a942dcf9b269d27c8ea35a	BhasaFlow Khasi Monolingual Corpus v1 By Medharvix Systems Private Limited Overview A curated monolingual Khasi text corpus for language modeling, NLP research, and linguistic analysis, with a focus on preserving and digitizing low-resource languages of Northeast India. Dataset Structure ...	108	123	20,567	[ "task_categories:text-generation", "language:kha", "license:cc-by-nc-4.0", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "khasi", "monolingual", "low-resource", "northeast-india", "bhas...	2026-04-28T21:47:50	null	null
67c92e867c6308c49ce2e98c	openbmb/Ultra-FineWeb	openbmb	{"language": ["en", "zh"], "license": "apache-2.0", "size_categories": ["n>1T"], "task_categories": ["text-generation"], "pretty_name": "Ultra-FineWeb", "tags": ["llm", "pretraining", "web-corpus", "data-filtering", "high-quality"], "configs": [{"config_name": "default", "data_files": [{"split": "en", "path": "data/ult...	false	False	2026-05-28T04:25:13	386	16	false	7ddd4170ce03e0afbd7d9b80d4bc0b8eebf877e4	Ultra-FineWeb 📜 Technical Report \| 📦 UltraData Collection \| 🌐 UltraData \| 🤗 MiniCPM4 Series \| 🤗 MiniCPM5 Series English \| 中文 📚 Introduction Ultra-FineWeb is a large-scale, high-quality, and efficiently-filtered dataset. We use the proposed efficient verification-based high-q...	88,474	623,454	9,733,108,790,509	[ "task_categories:text-generation", "language:en", "language:zh", "license:apache-2.0", "size_categories:1B<n<10B", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2505.05427", "arxiv:2602.09003", "arxiv:2412.04315", "...	2025-03-06T05:11:34	null	null
66212f29fb07c3e05ad0432e	HuggingFaceFW/fineweb	HuggingFaceFW	{"license": "odc-by", "task_categories": ["text-generation"], "language": ["en"], "pretty_name": "FineWeb", "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data//"}]}, {"config_name": "sample-10BT", "data_files": [{"split": "train", "path": "sample/10BT/*...	false	False	2025-07-11T20:16:53	2,883	15	false	9bb295ddab0e05d785b879661af7260fed5140fc	🍷 FineWeb 15 trillion tokens of the finest data the 🌐 web has to offer What is it? The 🍷 FineWeb dataset consists of more than 18.5T tokens (originally 15T tokens) of cleaned and deduplicated english web data from CommonCrawl. The data processing pipeline is optimized for LLM ...	445,840	8,462,764	54,812,538,723,397	[ "task_categories:text-generation", "language:en", "license:odc-by", "size_categories:10B<n<100B", "modality:tabular", "modality:text", "arxiv:2306.01116", "arxiv:2109.07445", "arxiv:2406.17557", "doi:10.57967/hf/2493", "region:us" ]	2024-04-18T14:33:13	null	null
69f12b04c8c909edcd887037	MEDHARVIX-SYSTEMS/bhasaflow-khasi-english-parallel-corpus-v1	MEDHARVIX-SYSTEMS	{"language": ["en", "kha"], "license": "cc-by-nc-4.0", "task_categories": ["translation"], "tags": ["khasi", "english", "parallel-corpus", "low-resource", "northeast-india", "bhasaflow", "medharvix"], "size_categories": ["n<1K"], "pretty_name": "BhasaFlow Khasi-English Parallel Corpus v1"}	false	False	2026-04-30T18:22:53	19	15	false	5015205d62f72d94ebb58ef37cf3440833e702b3	BhasaFlow Khasi-English Parallel Corpus v1 By Medharvix Systems Private Limited Overview A curated parallel corpus of Khasi-English sentence pairs designed for machine translation research and development, with a focus on low-resource language technology for Northeast India. Dataset Struct...	134	152	32,326	[ "task_categories:translation", "language:en", "language:kha", "license:cc-by-nc-4.0", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "khasi", "english", "parallel-corpus", "low-resource"...	2026-04-28T21:47:48	null	null
639244f571c51c43091df168	Anthropic/hh-rlhf	Anthropic	{"license": "mit", "tags": ["human-feedback"]}	false	False	2023-05-26T18:47:34	1,788	14	false	09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa	Dataset Card for HH-RLHF Dataset Summary This repository provides access to two different kinds of data: Human preference data about helpfulness and harmlessness from Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. These data are meant to train preferenc...	32,995	1,917,622	94,745,957	[ "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2204.05862", "region:us", "human-feedback" ]	2022-12-08T20:11:33	null	null
69f0c6101cc98d8ac04c03cd	jasperai/monet	jasperai	{"license": "apache-2.0", "pretty_name": "MONET", "task_categories": ["text-to-image", "image-feature-extraction", "zero-shot-image-classification"], "language": ["en"], "size_categories": ["100M<n<1B"], "tags": ["multimodal", "image-text", "captioning", "text-to-image", "synthetic-data"], "configs": [{"config_name": "...	false	False	2026-05-29T10:16:25	130	13	false	8ec2189db8fa36bb41ea29aff7341bc5092d7482	Dataset Card for MONET MONET (Massive, Open, Non-redundant and Enriched Text-to-image dataset) is a large-scale, curated image-text dataset designed for training text-to-image (T2I) systems. It contains 104.9 million high-quality image-text pairs distilled from 2.9 billion raw pairs across nine heterogen...	154,536	378,177	68,151,014,835,264	[ "task_categories:text-to-image", "task_categories:image-feature-extraction", "task_categories:zero-shot-image-classification", "language:en", "license:apache-2.0", "size_categories:100M<n<1B", "arxiv:2605.21272", "region:us", "multimodal", "image-text", "captioning", "text-to-image", "synthe...	2026-04-28T14:37:04	null	null
6a267c902681c53f9f209cbb	carpedkm/CustoMDiT	carpedkm	{"license": "cc-by-4.0", "task_categories": ["text-to-video"], "tags": ["video-customization", "identity-preserving", "open-domain", "diffusion-transformer"], "size_categories": ["1M<n<10M"]}	false	False	2026-06-09T08:45:20	14	13	false	04609d5290c3dd8e1b6f8faf8fb20e57bfed2633	PexelsCustom-1M A Comprehensive Ecosystem for Open-Domain Customized Video Generation (ICASSP 2026) The first large-scale, publicly available dataset for customized video generation (CVG), providing 1,036,431 curated (identity, text, video) triplets across 8,373 identity categories from ~320K Pexels HD v...	96	96	3,398,243,508	[ "task_categories:text-to-video", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "video-customization", "identity-preserving", "open-domain", "diffusion-transformer" ...	2026-06-08T08:25:52	null	null
6a280ca340f6011352faa9af	redmadrobot-rnd/pii_benchmark	redmadrobot-rnd	{"license": "mit", "language": ["ru"], "pretty_name": "Russian PII NER Benchmark", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "tags": ["pii", "ner", "named-entity-recognition", "pii-detection", "privacy", "anonymization", "guardrails", "russian", "benchmark"]}	false	False	2026-06-09T12:53:01	13	13	false	f77ea831274daf980cc45c61a93c226be9d978d6	Russian PII NER Evaluation Dataset Dataset Description This dataset is designed for evaluating PII (Personally Identifiable Information) detection and Named Entity Recognition (NER) systems on Russian-language text. It targets guardrail and anonymization pipelines that must reliably find p...	122	122	3,233,396	[ "task_categories:token-classification", "language:ru", "license:mit", "size_categories:1K<n<10K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "pii", "ner", "named-entity-recognition", "pii-detection", "priva...	2026-06-09T12:52:51	null	null
6a0bde24f8d23d4248aa0a23	Jackrong/Claude-opus-4.7-TraceInversion-5000x	Jackrong	{"annotations_creators": ["machine-generated"], "language": ["en", "zh", "ko", "ru", "ja", "es"], "license": "apache-2.0", "size_categories": ["1K-10K"], "task_categories": ["text-generation"], "tags": ["reasoning", "trace-inversion", "synthetic-data", "chain-of-thought", "distillation", "claude-opus", "negentropy", "q...	false	False	2026-05-19T10:20:17	55	12	false	ab3b48f1d461ec40af924fd3163d2b9c8eaeb07c	🌀 Claude-opus-4.7-TraceInversion-5000x v1.0 Release A High-Fidelity Reconstructed CoT Dataset Saturated with the 'Opus Deep Logic Style' via Trace Inversion 📊 5,000 Samples 🧬 Trace Inversion & Negentropy 🛠 SFT & DPO Ready 🔥 Claude 4.7-Max Distillation 🌐 English & ...	1,850	1,850	96,499,026	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "language:zh", "language:ko", "language:ru", "language:ja", "language:es", "license:apache-2.0", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:pandas", "...	2026-05-19T03:51:00	null	null
625552d2b339bb03abe3432d	openai/gsm8k	openai	{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": [], "paperswithcode_id": "gsm8k", "pretty_na...	false	False	2026-03-23T10:18:13	1,384	11	false	740312add88f781978c0658806c59bc2815b9866	Dataset Card for GSM8K Dataset Summary GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning. These p...	912,663	12,386,295	5,900,352	[ "benchmark:official", "benchmark:eval-yaml", "task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "source_datasets:original", "language:en", "license:mit", "size_categories:10K<n<100K", "format:parquet", "modal...	2022-04-12T10:22:10	gsm8k	null
645e8da96320b0efe40ade7a	roneneldan/TinyStories	roneneldan	{"license": "cdla-sharing-1.0", "task_categories": ["text-generation"], "language": ["en"]}	false	False	2024-08-12T13:27:26	1,025	11	false	f54c09fd23315a6f9c86f9dc80f725de7d8f9c64	Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary. Described in the following paper: https://arxiv.org/abs/2305.07759. The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation los...	88,318	1,461,283	7,621,978,240	[ "task_categories:text-generation", "language:en", "license:cdla-sharing-1.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2305.07759", "region:us" ]	2023-05-12T19:04:09	null	null
6655eb19d17e141dcb546ed5	HuggingFaceFW/fineweb-edu	HuggingFaceFW	{"license": "odc-by", "task_categories": ["text-generation"], "language": ["en"], "pretty_name": "FineWeb-Edu", "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data//"}], "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"},...	false	False	2025-07-11T20:16:53	1,139	11	false	87f09149ef4734204d70ed1d046ddc9ca3f2b8f9	📚 FineWeb-Edu 1.3 trillion tokens of the finest educational data the 🌐 web has to offer Paper: https://arxiv.org/abs/2406.17557 What is it? 📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb ...	484,880	7,571,297	5,835,742,481,176	[ "task_categories:text-generation", "language:en", "license:odc-by", "size_categories:1B<n<10B", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2406.17557", "arxiv:2404.14219", "arxiv:2401.10020", ...	2024-05-28T14:32:57	null	null
6a2a47c4f5ff6c6dee016974	armand0e/claude-fable-5-claude-code	armand0e	{"pretty_name": "Claude Fable 5 Claude Code Traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "format:agent-traces", "claude-code", "distillation", "anthropic/claude-fable-5", "teich"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "*.jsonl"}]}]}	false	False	2026-06-13T08:54:08	11	11	false	415c8809c01e189bc57d96c69c67e4938f9e68ac	More on the way soon. For training on this dataset I recommend using the teich package to convert to openai style chats. It parses and filters out things like hitting limits and model switches, etc. As well as knows the exact tool-schemas and descriptions for the tools used. This will be updated in the c...	163	163	19,534,174	[ "task_categories:text-generation", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "agent-traces", "format:agent-traces", "claude-code", "distillat...	2026-06-11T05:29:40	null	null
6a133c47bf07261a98e49fd3	zhifeixie/StreamAudio-2M	zhifeixie	{"pretty_name": "StreamAudio-2M", "license": "cc-by-4.0", "language": ["en", "zh"], "task_categories": ["audio-classification", "automatic-speech-recognition", "translation", "audio-to-audio"], "tags": ["audio", "streaming", "audio-understanding", "asr", "speech-translation", "voice-chat"], "configs": [{"config_name": ...	false	False	2026-06-03T13:18:23	24	10	false	8f551eea2bc4d22b32e0220f4e3d84acb05ce3e9	StreamAudio-2M Large-scale streaming-audio dataset for audio-LLM / audio-agent training. Each row is a stream: a sequence of audio turns sharing one unified schema. ~2.28M unique audio clips are organised into six task subsets. Subsets Subset Rows Description Stream_Audio_Unders...	2,696	2,696	757,095,037,384	[ "task_categories:audio-classification", "task_categories:automatic-speech-recognition", "task_categories:translation", "task_categories:audio-to-audio", "language:en", "language:zh", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:json", "modality:tabular", "modality:text", "modality...	2026-05-24T17:58:31	null	null
6a2298808c1cdb723e100845	artefactory/ledger-long-context-multi-kpi	artefactory	{"configs": [{"config_name": "no_eval", "data_files": [{"split": "dev", "path": "no_eval/data.parquet"}]}, {"config_name": "eval", "data_files": [{"split": "eval", "path": "eval/data.parquet"}]}], "task_categories": ["table-question-answering"], "language": ["en"], "tags": ["financial-reports", "ocr", "kpi-extraction",...	false	False	2026-06-06T21:48:46	10	10	false	fcd8f3c6f0c82eb22a8263449fe86ee5b59b52b0	the LEDGER Long-Context Multi-KPI extraction datasets and benchmarks. OCR'd annual reports with ground-truth KPI values for financial information extraction benchmarking. Dataset Description This dataset pairs OCR-extracted annual report text (from DeepSeek OCR) with structured KPI ground-...	2,210	2,210	4,005,150,757	[ "task_categories:table-question-answering", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "doi:10.57967/hf/9070", "regio...	2026-06-05T09:36:00	null	null
6a2299080fe9efc247e5cc9a	artefactory/ledger-long-context-KPI-QA	artefactory	{"configs": [{"config_name": "eval", "data_files": [{"split": "test", "path": "eval/data-.parquet"}]}, {"config_name": "no_eval", "data_files": [{"split": "train", "path": "no_eval/data-.parquet"}]}], "task_categories": ["question-answering", "text-generation"], "language": ["en"], "tags": ["finance", "financial-repo...	false	False	2026-06-07T02:47:30	10	10	false	8f96dd4f171d2a7d04dcad009c6d7f83c3671628	LEDGER — Long-Context KPI Question Answering & Page Retrieval This dataset is part of the LEDGER (Long-context Evaluation of Documents for Grounded Extraction and Retrieval) benchmark. It supports two of the three LEDGER tasks: Page-level KPI retrieval — given a natural-language question about a financi...	3,338	3,338	5,238,504,132	[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "doi:10.57967/hf/9050"...	2026-06-05T09:38:16	null	null
67b6911c98d6df9360426b15	whale99/Interaction2Code	whale99	{"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["image-text-to-text"]}	false	False	2026-05-25T05:54:48	9	9	false	7a2d55fe666ddd319d26bdcb1dddb01c764a8602	Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping Project Page \| Paper \| GitHub Interaction2Code is the first systematic investigation and benchmark for Multimodal Large Language Models (MLLMs) in generating interactive webpages. While existing benchma...	3,247	7,780	367,649,654	[ "task_categories:image-text-to-text", "language:en", "size_categories:1K<n<10K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "arxiv:2411.03292", "region:us" ]	2025-02-20T02:19:08	null	null
6a0ecad032e2c32583a37759	VCLab-PolyU/GGT-100K	VCLab-PolyU	{"license": "cc-by-nc-nd-4.0"}	false	False	2026-06-01T06:43:40	43	9	false	f896935f85b79eb12c71163032d6826c7a4bb2d4	GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration Real-world LQ–HQ pairs from MFMs to expand IR generalization boundaries. Xiangtao Kong1,2,* \| Jixin Zhao1,2,* \| Lingchen Sun1,2; \| Rongyuan Wu1,2; \| Lei Zhang1,2,† 1 The Hong Kong Polytechnic University2 OPPO Research Inst...	2,725	2,725	383,112,874,268	[ "license:cc-by-nc-nd-4.0", "arxiv:2605.31039", "region:us" ]	2026-05-21T09:05:20	null	null
6a11091062d4b4e96a200f9c	armand0e/qwen3.7-max-pi-traces	armand0e	{"pretty_name": "Qwen3.7 Max Pi Traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "format:agent-traces", "pi", "distillation", "qwen/qwen3.7-max", "teich"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "*.jsonl"}]}]}	false	False	2026-05-23T02:58:23	90	9	false	bae934b1c4285b6d2ac720b9c2a127dad9c1c39a	This dataset was generated using teich by TeichAI Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below. Qwen3.7 Max Pi Traces This directory contains raw agent trace files generated by teich. All assistant responses were generated by qwen/qwen3...	8,815	8,815	9,927,137	[ "task_categories:text-generation", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "agent-traces", "format:agent-traces", "pi", "distillation", "...	2026-05-23T01:55:28	null	null
6a18489bb93f3af6ed8c5f50	qualialabsAI/SmoothConv	qualialabsAI	{"language": "zh", "license": "cc-by-nc-4.0", "tags": ["speech", "conversational-speech", "chinese"], "pretty_name": "SmoothConv"}	false	False	2026-06-12T04:48:12	9	9	false	cd74b4fca285a66d6ac8c16228d0953ff1e0cda2	SmoothConv SmoothConv is a high-quality Chinese multi-channel conversational speech dataset with expert human annotations, developed by ASLP@NPU and QualiaLabs as part of the SmoothConv–DuplexConv corpus family. Companion dataset: DuplexConv on HuggingFace (2,000 hours, LLM-assisted ann...	8,227	8,227	85,862,864,657	[ "language:zh", "license:cc-by-nc-4.0", "arxiv:0000.00000", "region:us", "speech", "conversational-speech", "chinese" ]	2026-05-28T13:52:27	null	null
6a18492ed0294b77f2b68667	qualialabsAI/DuplexConv	qualialabsAI	{"language": "zh", "license": "cc-by-nc-4.0", "tags": ["speech", "conversational-speech", "chinese"], "pretty_name": "DuplexConv"}	false	False	2026-06-12T04:47:34	9	9	false	0bb99da7ab7a2f6f86d6b23df92c9383e711d09a	DuplexConv DuplexConv is a large-scale Chinese multi-channel conversational speech dataset with LLM-assisted annotations, developed by ASLP@NPU and QualiaLabs as part of the SmoothConv–DuplexConv corpus family. Companion dataset: SmoothConv on HuggingFace (100 hours, expert human annota...	6,240	6,240	1,640,733,137,836	[ "language:zh", "license:cc-by-nc-4.0", "arxiv:0000.00000", "region:us", "speech", "conversational-speech", "chinese" ]	2026-05-28T13:54:54	null	null
6a18b704a8151acebfaaf374	OpenClaw/clawhub-security-signals	OpenClaw	{"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "ClawHub Security Signals", "tags": ["security", "llm-security", "agentic-ai", "agent-skills", "openclaw", "clawhub", "malware-detection", "sta...	false	False	2026-06-03T05:28:34	46	9	false	769d3dbe71d52f3453b9a416cbcea88b4a641fd0	ClawHub Security Signals 🦀 ClawHub \| 📝 OpenClaw Blog \| 🤗 HF Mirror Blog \| 📄 Paper \| 📄 Pre-Print ClawHub Security Signals is a sanitized, MIT-licensed security-signals dataset for public OpenClaw agent skills. It captures how an agent-skill registry evaluates trust, provenance, bundled code, and s...	499	499	1,081,491,134	[ "task_categories:text-classification", "task_ids:multi-class-classification", "language:en", "license:mit", "size_categories:10K<n<100K", "format:json", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2606.01494", "...	2026-05-28T21:43:32	null	null
6a229964bc73aafdd4e59b84	artefactory/ledger-market-sentiment	artefactory	{"configs": [{"config_name": "letters", "data_files": [{"split": "train", "path": "letters/data.parquet"}]}, {"config_name": "eps_surprise", "data_files": [{"split": "train", "path": "eps_surprise/data.parquet"}]}, {"config_name": "stock_prices", "data_files": [{"split": "train", "path": "stock_prices/data-*.parquet"}]...	false	False	2026-06-07T02:39:34	9	9	false	11d1ff69d81f106b97644d789d7603c375a02ec3	LEDGER Market Sentiment Prediction Data Data used for the market sentiment prediction case study in the LEDGER paper, linking CEO-letter rhetoric to EPS surprises and post-publication market reactions. Dataset Description This dataset supports research on whether the rhetoric in corporate ...	93	93	803,974,540	[ "task_categories:text-classification", "task_categories:time-series-forecasting", "language:en", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", ...	2026-06-05T09:39:48	null	null
6a2647e21546853bde0ccb12	zhiqix/PUM-MATH	zhiqix	{"license": "cc-by-4.0", "language": ["en"], "task_categories": ["text-generation", "text-classification"], "tags": ["reasoning", "mathematical-reasoning", "prefix-evaluation", "llm-evaluation", "pairwise-ranking", "utility-model"], "pretty_name": "PUM Prefix Pair Dataset"}	false	False	2026-06-08T05:04:13	11	9	false	a9cf649f0a7a3728ac85e584309d4a23148e308d	PUM Prefix Pair Dataset This dataset contains pairwise prefix preference examples for gain-based evaluation of LLM reasoning. Each example compares two partial reasoning prefixes for the same math problem and records which prefix is preferred according to outcome-grounded prefix utility. The dataset is a...	119	119	1,785,969,792	[ "task_categories:text-generation", "task_categories:text-classification", "language:en", "license:cc-by-4.0", "size_categories:100K<n<1M", "format:json", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2606.07190", ...	2026-06-08T04:41:06	null	null
6a1de46d3a7ae8c9ef0850b2	tahoebio/EmeraldBay	tahoebio	{"license": "cc-by-4.0", "tags": ["biology", "single-cell", "RNA", "drug-sensitivity", "perturbation", "chemistry"], "size_categories": ["1M<n<10M"], "configs": [{"config_name": "expression_data", "data_files": "expression_data/train-*", "default": true}, {"config_name": "gene_metadata", "data_files": "metadata/gene_me...	false	False	2026-06-05T21:12:47	8	8	false	f2a0be6b02f731553657f0115c345b20bb020ede	Emerald Bay Emerald Bay is a single-cell perturbation dataset of over 1.8M transcriptomic profiles spanning 52 cell lines and 91 drug treatments, including combinations. Generated using Tahoe Therapeutics's MOSAIC high-throughput platform, it comprises a curated set of anticancer agents applied at mult...	691	691	57,714,710,155	[ "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "format:optimized-parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "biology", "single-cell", "RNA", "drug-sensitivity", "perturbation", "chemistry" ]	2026-06-01T19:58:37	null	null
6791fcbb49c4df6d798ca7c9	cais/hle	cais	{"license": "mit", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "string"}, {"name": "image_preview", "dtype": "image"}, {"name": "answer", "dtype": "string"}, {"name": "answer_type", "dtype": "string"}, {"name": "author_name", "dtyp...	false	auto	2026-01-20T22:42:17	833	7	false	5a81a4c7271a2a2a312b9a690f0c2fde837e4c29	[!NOTE] IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset. Humanity's Last Exam 🌐 Website \| 📄 Paper \| GitHub Center for AI Safety & Scale AI Humanity's Last Exam (HLE) is a multi-modal benchmark at the frontier of huma...	35,493	343,575	274,282,300	[ "benchmark:official", "license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2025-01-23T08:24:27	null	null
6835e8703de5738a2e9af4ae	nvidia/PhysicalAI-Autonomous-Vehicles	nvidia	{"extra_gated_heading": "You must agree to the NVIDIA Autonomous Vehicle Dataset License Agreement to access this dataset.", "extra_gated_prompt": "### NVIDIA Autonomous Vehicle Dataset License Agreement\n\nThis NVIDIA Autonomous Vehicle Dataset License Agreement (\"Agreement\") is a legal agreement between you, whethe...	false	auto	2026-05-06T21:55:22	913	7	false	b719eea7f0a63619ef51ec7f54178af0937ef050	PHYSICAL AI AUTONOMOUS VEHICLES The PhysicalAI-Autonomous-Vehicles dataset provides one of the largest, geographically diverse collections of multi-sensor data empowering AV researchers to build the next generation of Physical AI based end-to-end driving systems. This dataset is ready for commercial/non-com...	162,866	2,432,366	133,214,352,118,097	[ "license:other", "region:us" ]	2025-05-27T16:29:36	null	null
69b0a69caab02f7aaec0e66f	bones-studio/seed	bones-studio	{"license": "other", "license_name": "bones-seed-license", "license_link": "https://bones.studio/info/seed-license", "task_categories": ["robotics", "text-to-video", "video-text-to-text"], "tags": ["motion-capture", "humanoid-robotics", "human-motion", "physical-ai", "whole-body-control", "NVIDIA-SOMA", "Unitree-G1", "...	false	auto	2026-05-03T15:03:12	145	7	false	2f59b2077b9da34dd4e43618e705c7cb962c9a66	BONES-SEED: Skeletal Everyday Embodiment Dataset BONES-SEED is an open dataset of 142,220 annotated human motion animations for humanoid robotics. It provides motion capture data in SOMA and Unitree G1 formats, with natural language descriptions, temporal segmentation, and detailed skeletal metadata. Proj...	4,083	16,211	null	[ "task_categories:robotics", "task_categories:text-to-video", "task_categories:video-text-to-text", "language:en", "license:other", "size_categories:100K<n<1M", "region:us", "motion-capture", "humanoid-robotics", "human-motion", "physical-ai", "whole-body-control", "NVIDIA-SOMA", "Unitree-G...	2026-03-10T23:17:48	null	null
69d3b00b2d56eb23d8824420	badlogicgames/pi-mono	badlogicgames	{"pretty_name": "coding agent session traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "coding-agent", "pi-share-hf"], "language": ["en", "code"], "license": "other"}	false	False	2026-04-06T13:10:36	154	7	false	dac2a1d3ba12dda597b973a791a77618ccb5f413	Coding agent session traces for badlogicgames/pi-mono This dataset contains redacted coding agent session traces collected while working on https://github.com/badlogic/pi-mono.git. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed determini...	1,867	23,293	224,783,955	[ "task_categories:text-generation", "language:en", "language:code", "license:other", "region:us", "agent-traces", "coding-agent", "pi-share-hf" ]	2026-04-06T13:07:23	null	null
69f0ef687918cb439f840e4d	qixuewei/nuReasoning	qixuewei	{"task_categories": ["visual-question-answering", "text-generation", "robotics"], "pretty_name": "nuReasoning", "size_categories": ["10K<n<100K"], "viewer": false, "license": "other", "license_name": "motional-nureasoning-dataset", "license_link": "https://huggingface.co/datasets/qixuewei/nuReasoning/blob/main/LICENSE-...	false	False	2026-06-12T23:25:58	15	7	false	b8b73a986f381b84b93f3e4b8c93a5ca73a4b7af	nuReasoning Project website nuReasoning is a reasoning-centric multimodal autonomous driving dataset for evaluating and training end-to-end driving systems in long-tail real-world scenarios. Each sample is built around a driving clip with synchronized multi-camera images, LiDAR data, ego state, ob...	10,710	12,781	4,025,420,453,605	[ "task_categories:visual-question-answering", "task_categories:text-generation", "task_categories:robotics", "license:other", "size_categories:10K<n<100K", "region:us" ]	2026-04-28T17:33:28	null	null
69f9637b756664a3c705494d	nvidia/PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes	nvidia	{"license": "other", "license_name": "openmdw1.1", "license_link": "https://openmdw.ai/"}	false	False	2026-06-09T18:27:04	34	7	false	bdafca2a9c575629e47509f547e27ab7f3680369	PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes Dataset Card Dataset Description PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes is a large-scale synthetic dataset of physically-simulated multi-object interaction scenes, generated using NVIDIA Isaac Sim and the Phy...	43,204	43,219	16,437,638,164,414	[ "license:other", "size_categories:100M<n<1B", "format:webdataset", "modality:image", "modality:text", "library:datasets", "library:webdataset", "library:mlcroissant", "region:us" ]	2026-05-05T03:26:51	null	null
69fc64cba0322de6ab5c04c5	SWE-Explore-Bench/SWE-Explore-Bench	SWE-Explore-Bench	{"license": "cc-by-nc-nd-4.0"}	false	False	2026-06-08T15:41:51	7	7	false	bdb0ae45d7c337d9e1dc3ebfe2a0af6bc7c1fbd9	SWE-Explore-Bench SWE-Explore-Bench is the dataset for SWE-Explore: Benchmarking How Coding Agents Explore Repositories. Citation If you use SWE-Explore-Bench, please cite: @misc{zhang2026sweexplore, title = {{SWE-Explore}: Benchmarking How Coding Agents Explore Repositories}, author =...	177	213	13,686,958	[ "license:cc-by-nc-nd-4.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2606.07297", "region:us" ]	2026-05-07T10:09:15	null	null
6a041ab186ebfeb767465f0b	zlab-princeton/i1-captions	zlab-princeton	{"configs": [{"config_name": "fluxreason", "data_files": [{"split": "train", "path": "fluxreason/train-.parquet"}], "default": true}, {"config_name": "gptedit", "data_files": [{"split": "train", "path": "gptedit/train-.parquet"}]}, {"config_name": "imagenet22k", "data_files": [{"split": "train", "path": "imagenet22k/...	false	False	2026-06-12T02:01:04	8	7	false	bb8c4a4da111c1e0b2a0afa53d381ec57b98ad19	i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu Princeton University [arXiv][code][model][project page] 1. Overview This dataset contains all captions used in our controlled experiments and the f...	3,157	3,189	153,105,377,964	[ "task_categories:text-to-image", "size_categories:100M<n<1B", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2606.11289", "region:us" ]	2026-05-13T06:31:13	null	null
6a0bde409f539ee2b902e024	Jackrong/Claude-opus-4.6-TraceInversion-9000x	Jackrong	{"annotations_creators": ["machine-generated"], "language": ["en", "zh", "ko", "ja", "ru", "es"], "license": "apache-2.0", "size_categories": ["1K-10K"], "task_categories": ["text-generation"], "tags": ["reasoning", "trace-inversion", "synthetic-data", "chain-of-thought", "distillation", "claude-opus", "negentropy", "q...	false	False	2026-05-19T10:20:02	67	7	false	dcb98612aa4eb657cddec26ac2047e3f6c454ed3	🌀 Claude-opus-4.6-TraceInversion-9000x v1.0 Release A High-Fidelity Reconstructed CoT Dataset via Trace Inversion 📊 9,000 Samples 🧬 Trace Inversion & Negentropy 🛠 SFT & DPO Ready 🔥 Claude 4.6 Distillation 🌐 English & Multilingual 💡 What is Trace ...	1,902	1,902	61,997,908	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "language:zh", "language:ko", "language:ja", "language:ru", "language:es", "license:apache-2.0", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:pandas", "...	2026-05-19T03:51:28	null	null
6a0bffcd8ccf7f0f5692abd4	IndexTeam/CASTER-Bench	IndexTeam	{"license": "cc-by-nc-4.0", "task_categories": ["video-classification", "text-classification"], "language": ["zh"], "size_categories": ["1K<n<10K"], "tags": ["video-quality-assessment", "user-generated-content", "social-reasoning", "community-resonance", "multimodal"], "configs": [{"config_name": "default", "data_files...	false	manual	2026-06-08T07:01:37	8	7	false	130631683720dabbe9108f59098a36e870bb9a1e	CASTER-Bench CASTER-Bench is a human-annotated multimodal benchmark for Community-Aware Assessment of Social Textual Engagement and Resonance (CASTER) — a task that evaluates whether User-Generated Content (UGC) achieves positive community resonance, going beyond traditional aesthetic-focused Video Q...	125	125	24,884,783,133	[ "task_categories:video-classification", "task_categories:text-classification", "language:zh", "license:cc-by-nc-4.0", "size_categories:1K<n<10K", "format:json", "modality:image", "modality:text", "modality:video", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant",...	2026-05-19T06:14:37	null	null
6a11552abd05b840b5208a8b	whale99/ComUIBench	whale99	{"license": "cc-by-4.0"}	false	False	2026-06-02T04:45:00	8	7	false	9be8e312270aace6240fe0343b16c40e667d688f	null	3,440	3,440	1,728,280,372	[ "license:cc-by-4.0", "size_categories:10K<n<100K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "region:us" ]	2026-05-23T07:20:10	null	null
6a18adf11d4a748f4dc1a981	TimeSeventeen/Polymarket-v1	TimeSeventeen	{"license": "cc-by-4.0", "language": ["en"], "size_categories": ["1B<n<10B"], "task_categories": ["tabular-classification"], "tags": ["polymarket", "prediction-markets", "market-microstructure", "on-chain", "polygon", "orderfilled", "finance"], "configs": [{"config_name": "orderfilled", "data_files": [{"split": "train"...	false	False	2026-06-09T12:47:51	9	7	false	66a1d6ddfc3cdab9e2087c1e2e855bab272d3404	Polymarket-v1 A large-scale dataset of on-chain event logs from Polymarket v1, the prediction-market platform on the Polygon network. The repository contains three layers covering the full contract lifecycle from 2022-11-21 to 2026-04-28 (from first settlement to natural termination): OrderFilled/ (the...	2,519	2,519	49,093,938,048	[ "task_categories:tabular-classification", "language:en", "license:cc-by-4.0", "size_categories:1B<n<10B", "modality:tabular", "modality:text", "arxiv:2606.04217", "region:us", "polymarket", "prediction-markets", "market-microstructure", "on-chain", "polygon", "orderfilled", "finance" ]	2026-05-28T21:04:49	null	null
6a23da4d0f9d4b1aa8296e50	armand0e/minimax-m3-claude-code-traces	armand0e	{"pretty_name": "Minimax M3 Claude Code Traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "format:agent-traces", "claude-code", "distillation", "minimax/minimax-m3", "teich"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "*.jsonl"}]}]}	false	False	2026-06-06T08:29:12	8	7	false	964cab9e833256be31f5a549378721a5a4b755b0	This dataset was generated using teich by TeichAI Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below. Minimax M3 Claude Code Traces This directory contains raw agent trace files generated by teich. All assistant responses were generated by mi...	637	637	14,875,393	[ "task_categories:text-generation", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "agent-traces", "format:agent-traces", "claude-code", "distillat...	2026-06-06T08:29:01	null	null
6a256b433da15f2b69b15040	Voxel51/kitscenes-multimodal	Voxel51	{"annotations_creators": [], "language": "en", "license": "cc-by-nc-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["object-detection"], "task_ids": [], "pretty_name": "kitscenes-multimodal", "tags": ["autonomous-driving", "fiftyone", "fiftyone", "group", "hd-maps", "lidar", "multimodal", "object-detection",...	false	False	2026-06-08T11:51:46	7	7	false	04dfe2a5011f5bd85344cbfec7b3a6ff33bdd267	KITScenes Multimodal — FiftyOne Dataset A FiftyOne build of KITScenes Multimodal (KIT-MRT), a high-fidelity European urban autonomous-driving dataset. Each frame is a synchronized capture from a full robotaxi sensor suite — nine global-shutter cameras giving 360° coverage, seven long-range lidars, and t...	4,305	4,305	22,257,400,334	[ "task_categories:object-detection", "language:en", "license:cc-by-nc-4.0", "size_categories:10K<n<100K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "library:fiftyone", "arxiv:2606.02956", "region:us", "autonomous-driving", "fiftyone", "group", "hd-...	2026-06-07T12:59:47	null	null
6a294060470b7ac939ed241b	victor/fable-5-boeing-747-trace	victor	{"pretty_name": "Fable 5 Boeing 747 - Claude Code session trace", "license": "mit", "tags": ["agent-traces", "claude-code", "threejs", "fable-5"], "configs": [{"config_name": "default", "data_files": "trace.jsonl"}]}	false	False	2026-06-11T20:13:15	7	7	false	e146afb46a99b3873a1a61e12454ba3cd2fff299	Fable 5 Boeing 747: Claude Code session trace The full Claude Code (Fable 5) session transcript that built victor/fable-5-boeing-747, a procedural Boeing 747 in Three.js, from a single /goal prompt: create the most realistic boeing 747 using THREEJS - use your vision capabilities to create a self verifi...	269	269	31,577,223	[ "license:mit", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "agent-traces", "claude-code", "threejs", "fable-5" ]	2026-06-10T10:45:52	null	null
6a2a3f05ad83202e2e94d055	K-intelligence/KSAFE-MM	K-intelligence	{"configs": [{"config_name": "KSAFE-MM-C", "data_files": [{"split": "test", "path": "KSAFE-MM-C/test.parquet"}]}, {"config_name": "KSAFE-MM-G", "data_files": [{"split": "test", "path": "KSAFE-MM-G/test.parquet"}]}], "default_config_name": "KSAFE-MM-C", "extra_gated_prompt": "## \ud83d\udee1\ufe0f Access Request for KSA...	false	auto	2026-06-11T05:19:10	8	7	false	dc6d93a6725368dd1504c960199a68c10cde5621	KSAFE-MM 📑 Paper \| 🛠️ Technical Blog 📢 News ⚡️ 2026/06/11: Released on HF Mirror 🤗 📑 2026/05/29: arXiv preprint released 📕 2026/05/20: Technical blog article published ⚠️ CONTENT WARNING This dataset contains potentially harmful and sensitive visual and textual content across the f...	50	50	3,733,935,096	[ "size_categories:10K<n<100K", "format:parquet", "format:optimized-parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2605.28013", "region:us" ]	2026-06-11T04:52:21	null	null

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Changelog

NEW Changes March 11th 2026

Added new split: arxiv_papers, sourced from the HF Mirror /api/papers endpoint
papers continues to point to daily_papers.parquet, which is the Daily Papers feed

NEW Changes July 25th

added baseModels field to models which shows the models that the user tagged as base models for that model

Example:

{
  "models": [
    {
      "_id": "687de260234339fed21e768a",
      "id": "Qwen/Qwen3-235B-A22B-Instruct-2507"
    }
  ],
  "relation": "quantized"
}

NEW Changes July 9th

Fixed issue with gguf column with integer overflow causing import pipeline to be broken over a few weeks ✅

NEW Changes Feb 27th

Added new fields on the models split: downloadsAllTime, safetensors, gguf
Added new field on the datasets split: downloadsAllTime
Added new split: papers which is all of the Daily Papers

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