Datasets:

cfahlgren1
/

hub-stats

_id large_stringlengths 24 24	id large_stringlengths 5 123	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 2026-08-24 13:19:00	likes int64 0 9.8k	trendingScore float64 0 128	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 3.57M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-08-24 13:16:58	paperswithcode_id large_stringclasses 718 values	citation large_stringlengths 0 10.7k ⌀
6a7ec5eb468728158a8038f8	openbmb/Ultra-FineWeb-L1	openbmb	{"language": ["en"], "license": "apache-2.0", "size_categories": ["1B<n<10B"], "task_categories": ["text-generation"], "pretty_name": "Ultra-FineWeb-L1", "tags": ["llm", "pretraining", "web-corpus", "common-crawl", "data-filtering", "deduplication", "fineweb", "ultradata"], "configs": [{"config_name": "CC-MAIN-2025-30"...	false	False	2026-08-20T07:36:30	140	128	false	10b9ba18466215c0ba495299dfffd798af1027f2	Ultra-FineWeb-L1 📜 Ultra-FineWeb Technical Report \| 📦 UltraData Collection \| 🌐 UltraData English \| 中文 📚 Introduction Ultra-FineWeb-L1 is a large-scale English web corpus built from Common Crawl snapshots. Within UltraData's L0-L4 tiered data management framework, it serves ...	11,243	11,243	2,832,186,009,445	[ "task_categories:text-generation", "language:en", "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", "pretraining", ...	2026-08-14T07:38:19	null	null
6a8362a37dc3985831aa4a26	Anthropic/claude-protein-binder-design	Anthropic	{"license": "cc-by-4.0", "pretty_name": "Claude protein binder design (data release v1.0)", "size_categories": ["1K<n<10K"], "tags": ["biology", "proteins", "protein-design", "de-novo-binders", "surface-plasmon-resonance", "biolayer-interferometry", "structure-prediction", "benchmark"], "configs": [{"config_name": "des...	false	False	2026-08-18T21:35:41	118	105	false	9e1b81696da46835e9e9cde9a3da976e0abc92ab	Claude protein binder design — data release v1.0 1,440 de novo miniprotein binders (50 to 120 residues) against 16 targets, designed by two Claude models operating as autonomous protein-design agents (Mythos Preview, 900 designs; Opus 4.8, 540 designs) and characterized at two contract research organizat...	23,990	23,990	85,582,823,678	[ "license:cc-by-4.0", "size_categories:100K<n<1M", "modality:image", "modality:tabular", "modality:text", "region:us", "biology", "proteins", "protein-design", "de-novo-binders", "surface-plasmon-resonance", "biolayer-interferometry", "structure-prediction", "benchmark" ]	2026-08-17T19:36:03	null	null
68f369a1969f9c4368e112bf	malcolmrey/various	malcolmrey	{"license": "wtfpl"}	false	False	2026-08-23T14:18:49	115	86	false	4d31fbf196fc71d2ff127c817d2e67f3733b6099	malcolmrey's Various AI Model Repository This is the repository of malcolmrey where various things related to Stable Diffusion, Flux, WAN, and other upcoming model architectures will land. Current Content Right now we have one tutorial that was pulled out of CivitAI regarding WAN 2.1 LoRA ...	25,498	33,700	3,994,629,336	[ "license:wtfpl", "size_categories:n<1K", "format:imagefolder", "modality:image", "modality:video", "library:datasets", "library:mlcroissant", "region:us" ]	2025-10-18T10:19:13	null	null
6a669b60c7c5f26e04472453	r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation	r0b0tlab	{"license": "other", "language": ["en", "zh", "es", "fr", "de", "ja"], "task_categories": ["text-generation", "conversational", "text2text-generation"], "tags": ["distillation", "sft", "reasoning", "tool-use", "multi-turn", "multi-teacher"], "size_categories": ["10K<n<100K"], "configs": [{"config_name": "sft_balanced",...	false	False	2026-08-02T01:32:23	204	74	false	7a3473446840bcc397928cd8183d4b3ba3ca13a7	Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers...	6,790	6,790	827,297,284	[ "task_categories:text-generation", "language:en", "language:zh", "language:es", "language:fr", "language:de", "language:ja", "license:other", "size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "libr...	2026-07-26T23:42:24	null	null
6a88290bf198e93508a91ba2	markov-ai/cad-1000-hours	markov-ai	{"pretty_name": "CAD 1000 Hours", "viewer": false, "tags": ["cad", "computer-use", "screen-recording", "video"]}	false	False	2026-08-21T12:26:29	84	73	false	b1bd4711343017fc40dfa6fe40a6cd338b7edaf6	CAD 1000 Hours CAD 1000 Hours is a computer-use dataset containing 1,021.64 hours of recorded work across 597 workflows and 10 CAD, BIM, structural-analysis, and visualization applications. The tables below summarize its software coverage. Category distribution Category Included sof...	25,906	25,906	275,540,558,620	[ "modality:video", "region:us", "cad", "computer-use", "screen-recording", "video" ]	2026-08-21T10:31:39	null	null
6a8b056d71b57e788ea7ef6a	hamzabagirsakci/turkish-court-decisions	hamzabagirsakci	{"language": ["tr"], "license": "cc0-1.0", "pretty_name": "T\u00fcrk \u0130\u00e7tihat Korpusu (11M Karar)", "size_categories": ["10M<n<100M"], "task_categories": ["text-generation", "text-retrieval", "text-classification", "summarization", "question-answering"], "tags": ["legal", "law", "turkish", "t\u00fcrk\u00e7e", ...	false	False	2026-08-23T15:04:16	42	37	false	257861b6818e5b9bdf14905c3714a24156a2c380	Türk İçtihat Korpusu — 11.045.085 Mahkeme Kararı Türkiye'nin kamuya açık mahkeme kararlarından derlenmiş, bilinen en büyük Türkçe hukuk metni veri seti. 11.045.085 karar, 31.5 milyar karakter düz metin (5.50 GB Parquet), 1962'den 2026'ya. Yargıtay, Danıştay, Anayasa Mahkemesi ve UYAP Emsal üzerinden yere...	370	370	5,498,659,611	[ "task_categories:text-generation", "task_categories:text-retrieval", "task_categories:text-classification", "task_categories:summarization", "task_categories:question-answering", "language:tr", "license:cc0-1.0", "size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text"...	2026-08-23T14:36:29	null	null
681af44a01120059cabf265d	ChartGalaxy/ChartGalaxy	ChartGalaxy	{"license": "cc-by-nc-4.0", "task_categories": ["visual-question-answering"], "language": ["en"], "tags": ["infographic", "chart"], "size_categories": ["1M<n<10M"], "configs": [{"config_name": "default", "data_files": [{"split": "preview", "path": "synthetic/preview.parquet"}]}]}	false	False	2026-08-21T15:16:19	84	30	false	292d72c9c439f30d6f5e5ae1d66007fe776faaa6	ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation 🤗 Dataset \| 🖥️ Code \| 📄 Paper \| 📄 Arxiv 🔥 News [2026.02] 🎉🎉 A new batch of data has been added, comprising 108,208 infographic charts. This update features broader diversity in title designs and more polished...	113,650	177,778	182,039,203,507	[ "task_categories:visual-question-answering", "language:en", "license:cc-by-nc-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2505.18668", "doi:10.57967/hf/5638", "r...	2025-05-07T05:48:58	null	null
6a745e4d9f2214ec691ff687	biglam/british-library-book-images	biglam	{"annotations_creators": ["machine-generated"], "language_creators": ["found"], "license": ["cc0-1.0"], "size_categories": ["1M<n<10M"], "source_datasets": ["blbooks"], "pretty_name": "British Library Book Images", "task_categories": ["image-classification", "image-to-text", "text-to-image"], "tags": ["image", "digital...	false	False	2026-08-18T13:55:47	57	30	false	ceb28b9cbdb06ab33b90072cf38d2f4a0c813ea0	British Library Book Images 1,080,814 images cut out of 49,455 digitised books (65,227 volumes, ~25 million pages) published between c. 1510 and c. 1900, digitised by the British Library in partnership with Microsoft and released by British Library Labs on Flickr Commons as the "1 Million Images from Sca...	4,656	4,656	629,961,385,135	[ "task_categories:image-classification", "task_categories:image-to-text", "task_categories:text-to-image", "annotations_creators:machine-generated", "language_creators:found", "source_datasets:blbooks", "license:cc0-1.0", "size_categories:1M<n<10M", "format:parquet", "modality:image", "modality:t...	2026-08-06T10:13:33	null	null
6a7930b01702714af35a9dce	ostris/minimax_h3_1k	ostris	null	false	False	2026-08-10T02:58:09	87	30	false	f159a1a121dbefbf3d14d695fb4542e1cddb2271	MiniMax H3 - 1K I generated a dataset to test the knowledge scope and capabilities of MiniMax H3. Samples are of various aspect sizes, and cover a wide range of media types and themes. The videos are 768 base resolution (~0.6 MP). They were generated with minimax_h3_fl2va_pruned_int8_convrot.safetens...	8,776	8,776	1,430,611,086	[ "size_categories:1K<n<10K", "format:text", "modality:text", "modality:video", "library:datasets", "library:mlcroissant", "region:us" ]	2026-08-10T02:00:16	null	null
6a6b340d42990b2a6d50b7a8	saidutta69/fable-5-premium	saidutta69	{"license": "mit", "language": ["en"], "tags": ["fable-5", "claude", "agent-traces", "coding", "tool-use", "sft", "fine-tuning", "distillation"], "pretty_name": "Fable-5 Premium Dataset", "task_categories": ["text-generation", "token-classification"], "size_categories": ["10K<n<100K"]}	false	False	2026-08-01T20:49:15	45	29	false	684cb1f849fe4a1c96f55351e1d7366f9888bb28	🧠 Fable-5 Premium Dataset A rigorously cleaned, high-quality supervised fine-tuning (SFT) dataset built from Claude Fable-5 agent traces. Priorities: Quality > Ease of Access > Quantity 📊 Dataset Overview Property Value Total Records 12,730 Train Split 5,728 (45.0%...	4,335	4,335	2,336,061,396	[ "task_categories:text-generation", "task_categories:token-classification", "language:en", "license:mit", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "fable-5", "claude", "agent-...	2026-07-30T11:22:53	null	null
6a75aceba8e651eb9e1507ce	LightwheelAI/EgoStandard	LightwheelAI	{"pretty_name": "EgoSuite-Open100K - EgoStandard", "language": ["en"], "license": "other", "license_name": "commercial-training-no-resale-v1.0", "size_categories": ["10K<n<100K"], "task_categories": ["video-classification"], "tags": ["video", "egocentric-video", "embodied-ai", "human-demonstration", "human-pose", "hand...	false	manual	2026-08-22T03:48:33	24	24	false	463805579591e3d9eb811d5bf5525d60393e6ce6	EgoStandard The 90,000-hour head-view line of EgoSuite-Open100K. Data Bucket · Collection · EgoDemo · EgoPro · Project page Explore EgoSuite-Open100K ↗ Data location: EgoStandard is distributed through the LightwheelAI/EgoStandard Bucket. This Git repository is the dataset card and access point;...	4,883	4,883	4,616	[ "task_categories:video-classification", "language:en", "license:other", "size_categories:10K<n<100K", "modality:video", "region:us", "video", "egocentric-video", "embodied-ai", "human-demonstration", "human-pose", "hand-pose", "body-pose", "multimodal", "lerobot", "mcap", "robotics" ...	2026-08-07T10:01:15	null	null
6a3d72c815fc3044e3ef80c0	nvidia/Cosmos3-DROID	nvidia	{"license": "openmdw-1.1"}	false	False	2026-06-25T18:35:34	37	23	false	5c11a20accb11497270a5247a7f1e66ad04c956c	DROID: Distributed Robot Interaction Dataset Dataset Summary DROID (Distributed Robot Interaction Dataset) is a large-scale "in-the-wild" robot manipulation dataset containing 76K teleoperated demonstration trajectories — approximately 350 hours of interaction data — collected across 564 u...	37,186	122,407	758,395,286,285	[ "license:openmdw-1.1", "size_categories:1K<n<10K", "modality:video", "library:datasets", "library:mlcroissant", "arxiv:2403.12945", "region:us" ]	2026-06-25T18:26:16	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	3,251	22	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 ...	427,829	9,656,068	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
6a4cc0ac90ce9cc602189d11	FlyRank/internship-warehouse	FlyRank	{"license": "other", "language": ["en"], "tags": ["seo", "content-performance", "data-warehouse", "tabular", "education", "flyrank-internship"], "pretty_name": "FlyRank Internship \u2014 Warehouse Star Schema (Pseudonymized, Gated)", "size_categories": ["10M<n<100M"], "extra_gated_prompt": "By requesting access you agr...	false	auto	2026-07-07T10:02:21	524	21	false	50cbf7c3909d07be4d1b5906b4d09e882e5acbf2	FlyRank Internship — Pseudonymized Warehouse Release (v20260703) The open-ended, warehouse-shaped dataset (~81.8M rows; daily fact 78,835,655 rows) for advanced capstone work. Star schema with salted, namespaced, fingerprinted hash keys. Built from warehouse v2 full history (frozen snapshot, export date ...	19,661	25,354	1,168,719,310	[ "language:en", "license:other", "size_categories:10M<n<100M", "modality:tabular", "modality:text", "region:us", "seo", "content-performance", "data-warehouse", "tabular", "education", "flyrank-internship" ]	2026-07-07T09:02:36	null	null
6a79e11d46dc10fde43285f4	mvaccargiu/gitskills	mvaccargiu	{"license": "cc-by-4.0", "task_categories": ["other"], "tags": ["mining-software-repositories", "msr", "llm-agents", "agent-skills", "github", "software-engineering"], "pretty_name": "GitSkills", "dataset_info": [{"config_name": "artifacts", "features": [{"name": "repo_full_name", "dtype": "string"}, {"name": "path", "...	false	False	2026-08-12T08:01:29	22	20	false	289a292b3c6b175df1331f5ad2715673ba42dead	GitSkills: A Dataset of Agent Skills on GitHub Paper (arXiv:2608.10906) · Sample repository · Zenodo DOI: 10.5281/zenodo.21875637 An agent skill is a folder containing a SKILL.md file with instructions for a language-model agent, optionally accompanied by scripts and reference files. The agent loads the ...	1,496	1,496	13,429,254,575	[ "task_categories:other", "license:cc-by-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2608.10906", "region:us", "mining-software-repositories", "msr", "llm-age...	2026-08-10T14:33:01	null	null
6a7f1a1da7c5971df2779470	noitomrobotics/HiPHI	noitomrobotics	{"pretty_name": "HiPHI", "viewer": false, "language": ["en"], "license": "other", "license_name": "modalitynet-open-research-license", "license_link": "LICENSE.md", "extra_gated_heading": "Request Access to ModalityNet Dataset", "extra_gated_description": "Please complete the questionnaire below and confirm your agreem...	false	auto	2026-08-21T08:43:22	20	20	false	e983cabebe961bd72182eff9926b3d94f75399ac	HiPHI: A large-scale benchmark for high-precision human motion and object interaction. Project page: https://noitom-robotics.github.io/hiphi/ Online viewer: https://hiphi-viewer.modalitynet.com/ Paper: http://arxiv.org/abs/2608.16222 GitHub: https://github.com/noitom-robotics/hiphi/ HiPHI is an ...	3,293	3,293	215,159,149,228	[ "language:en", "license:other", "size_categories:10K<n<100K", "arxiv:2608.16222", "region:us", "motion-capture", "human-motion", "humanoid-robotics", "human-object-interaction", "whole-body-motion", "bvh", "framenet" ]	2026-08-14T13:37:33	null	null
6a615c95fb10b1093e0ea9ed	HuggingFaceCode/stack-v3-train	HuggingFaceCode	{"thumbnail": "https://huggingface.co/datasets/HuggingFaceCode/stack-v3-train/resolve/main/assets/banner.png", "annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["odc-by"], "multilinguality": ["multilingual"], "size_categories": ["100M<n<1B"], "sourc...	false	False	2026-08-17T09:21:44	365	19	false	df4b205fbba4cc1c2fd1f205b10d66f730798bb9	🥞 The Stack v3 What is it? What is being released How to download and use it Dataset statistics Dataset structure Dataset creation Considerations for using the data Additional information What is it? The Stack v3 is the largest, most up-to-date open dataset of source code, crawled dir...	255,776	301,862	3,544,637,688,742	[ "task_categories:text-generation", "language_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:multilingual", "language:code", "license:odc-by", "size_categories:100M<n<1B", "arxiv:2402.19173", "region:us", "code" ]	2026-07-23T00:13:09	null	null
6a687d98e39da05068d7bbfc	Apexintelligence-AI/ASI-Bench-seed31415	Apexintelligence-AI	{"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "pretty_name": "ASI-Bench Generated Instances (Seed 31415)", "tags": ["benchmark", "agents", "ai-for-science", "scientific-reasoning"], "task_categories": ["other"]}	false	False	2026-08-21T07:43:36	18	18	false	3346cbb032efaf349eec3853c0d58294fe1d3ae7	ASI-Bench Generated Instances — Seed 31415 Paper · Website · GitHub · Leaderboard Dataset Summary ASI-Bench evaluates general intelligence, innovation, and autonomous execution through 60 project-level scientific research tasks spanning 11 domains. Each task provides four matched promp...	1,798	1,801	118,743,088	[ "task_categories:other", "language:en", "license:apache-2.0", "size_categories:n<1K", "arxiv:2608.17271", "region:us", "benchmark", "agents", "ai-for-science", "scientific-reasoning" ]	2026-07-28T09:59:52	null	null
6a75ae682e9494298b53f94c	LightwheelAI/EgoPro	LightwheelAI	{"pretty_name": "EgoSuite-Open100K - EgoPro", "language": ["en"], "license": "other", "license_name": "commercial-training-no-resale-v1.0", "size_categories": ["10K<n<100K"], "task_categories": ["video-classification"], "tags": ["video", "egocentric-video", "embodied-ai", "human-demonstration", "human-pose", "hand-pose...	false	manual	2026-08-22T04:24:36	18	17	false	c477c8d8c5052d18adfd322eb957630c0258f6bb	EgoPro The 10,000-hour head-and-wrist line of EgoSuite-Open100K. Data Bucket · Collection · EgoDemo · EgoStandard · Project page Explore EgoSuite-Open100K ↗ Data location: EgoPro is distributed through the LightwheelAI/EgoPro Bucket. This Git repository is the dataset card and access point; down...	6,516	6,516	4,560	[ "task_categories:video-classification", "language:en", "license:other", "size_categories:10K<n<100K", "modality:video", "region:us", "video", "egocentric-video", "embodied-ai", "human-demonstration", "human-pose", "hand-pose", "body-pose", "wrist-camera", "multimodal", "lerobot", "mc...	2026-08-07T10:07:36	null	null
6974adda4fe45f6aa5dd9294	ulamai/UnsolvedMath	ulamai	{"license": "cc-by-4.0", "task_categories": ["question-answering", "text-generation"], "language": ["en"], "tags": ["mathematics", "unsolved-problems", "math", "research", "latex"], "size_categories": ["1K<n<10K"], "pretty_name": "UnsolvedMath"}	false	False	2026-08-18T07:40:35	62	16	false	c423bd6c88433fe614b0f8b206201f580e0a7355	🌐 Browse UnsolvedMath online ✅ Paper: Open Mathematical Problems as an AI Reasoning Benchmark UnsolvedMath Dataset A comprehensive curated collection of 8,785 open mathematics problems across all domains and difficulty levels, including the largest collection of Erdős problems available in machine-reada...	6,005	6,786	164,333,768	[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "region:us", "mathematics", "unsolved-problems", "math", "research", "latex" ]	2026-01-24T11:32:42	null	null
6a85dd855cb5da95b0fc9482	datapointai/text-2-image-human-preferences-2m	datapointai	{"license": "cc-by-4.0", "task_categories": ["text-to-image", "image-classification", "reinforcement-learning"], "language": ["en"], "tags": ["human-feedback", "preference", "rlhf", "dpo", "text-to-image", "arena", "leaderboard", "image-generation", "preference-learning", "pairwise-comparison", "reward-model", "generat...	false	auto	2026-08-21T16:21:27	16	16	false	e1d8719a2d521eac6c62ee84f329afc2c03ec928	Text-to-image human preferences: 2M votes across 30 models This dataset contains the complete voting record behind the Datapoint Image Bench leaderboard: 2,161,160 validated pairwise votes — exactly 10 for each of 216,116 image pairs. The votes compare 30 text-to-image models in a complete round-robin ...	369	369	34,856,922,710	[ "task_categories:text-to-image", "task_categories:image-classification", "task_categories:reinforcement-learning", "language:en", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "modality:image", "modality:tabular", "modality:text", "library:datasets", "library:dask", "lib...	2026-08-19T16:44:53	null	null
63990f21cc50af73d29ecfa3	fka/prompts.chat	fka	{"license": "cc0-1.0", "tags": ["ChatGPT", "prompts", "AI", "GPT", "Claude", "Gemini", "Llama", "Mistral", "LLM", "prompt-engineering", "conversational-ai", "text-generation", "chatbot", "awesome-list"], "task_categories": ["question-answering", "text-generation"], "size_categories": ["100K<n<1M"]}	false	False	2026-08-24T03:24:50	9,799	15	false	ca0bf873b687e093f27beaddce8421f92d8ea7b4	a.k.a. Awesome ChatGPT Prompts This is a Dataset Repository mirror of prompts.chat — a social platform for AI prompts. 📢 Notice This Hugging Face dataset is a mirror. For the latest prompts, features, and community contributions, please visit: 🌐 Website: prompts.chat 📦 GitHub: github.com/f...	28,387	674,666	5,630,005	[ "task_categories:question-answering", "task_categories:text-generation", "license:cc0-1.0", "size_categories:1K<n<10K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "ChatGPT", "prompts", "AI", "GPT", "Claude"...	2022-12-13T23:47:45	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	930	15	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 ...	38,701	427,138	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
6a387563b57803e61682564f	MatrAIx2026/MatrAIx_Persona_1M	MatrAIx2026	{"pretty_name": "MatrAIx Persona 1M Public Release", "task_categories": ["text-generation"], "tags": ["persona", "coreset", "synthetic", "survey", "parquet"], "size_categories": ["100K<n<1M"], "configs": [{"config_name": "sample", "data_files": [{"split": "train", "path": "sample/*.parquet"}]}]}	false	False	2026-08-01T21:26:02	62	15	false	74f1edf9c9d024e6d3e412c3fda0efccfb2029c7	MatrAIx Persona 1M 999,847 personas, each described by 1,290 categorical attributes. 599,847 are derived from real records, 400,000 are synthetic. 10 Zstandard Parquet shards, 4.17 GB. Read it with pyarrow, not datasets Attributes are packed: one persona's 1,290 attributes are 645 bytes of...	14,963	15,070	6,804,852,174	[ "task_categories:text-generation", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "persona", "coreset", "synthetic", "survey", "parquet" ]	2026-06-21T23:36:03	null	null
6a75aed0ed632a5e84e266c7	LightwheelAI/EgoDemo	LightwheelAI	{"pretty_name": "EgoSuite-Open100K - EgoDemo", "language": ["en"], "license": "other", "license_name": "commercial-training-no-resale-v1.0", "size_categories": ["1K<n<10K"], "task_categories": ["video-classification"], "tags": ["video", "egocentric-video", "embodied-ai", "human-demonstration", "public-demo", "provenanc...	false	manual	2026-08-21T12:58:43	15	15	false	4080bd9e51098ed306243e53f9d80872f698650c	EgoDemo A 50-hour sample from EgoSuite-Open100K, covering every annotated subset plus two raw-video variants. Collection · EgoStandard · EgoPro · Project page Explore EgoSuite-Open100K ↗ EgoSuite-Open100K Overview Collection: EgoSuite-Open10...	10,099	10,099	1,477,463,033,667	[ "task_categories:video-classification", "language:en", "license:other", "size_categories:1K<n<10K", "modality:video", "region:us", "video", "egocentric-video", "embodied-ai", "human-demonstration", "public-demo", "provenance", "human-pose", "hand-pose", "body-pose", "wrist-camera", "...	2026-08-07T10:09:20	null	null
69a0ac7cc1f01f9b6b9031de	BytedTsinghua-SIA/CUDA-Agent-Ops-6K	BytedTsinghua-SIA	{"license": "cc-by-4.0", "pretty_name": "CUDA-Agent-Ops-6K", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "language": ["en"]}	false	False	2026-02-27T19:56:56	82	14	false	44a734c78c947bfcba5189cbfd13f57a6d29a698	CUDA-Agent-Ops-6K CUDA-Agent-Ops-6K is a curated training dataset for CUDA kernel generation and optimization. It is released as part of the CUDA-Agent project: Project Page: https://CUDA-Agent.github.io/ Github Repo: https://github.com/BytedTsinghua-SIA/CUDA-Agent Dataset Summary CUDA-Agent-Ops...	759	2,727	1,371,077	[ "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-02-26T20:26:36	null	null
6a687c4b6bd7f1afc9b051e7	Apexintelligence-AI/ASI-Bench-seed42	Apexintelligence-AI	{"pretty_name": "ASI-Bench Generated Instances (Seed 42)", "language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "tags": ["benchmark", "agents", "ai-for-science", "scientific-reasoning"]}	false	False	2026-08-19T03:18:13	14	14	false	04c8084f68cc7e7f115d39ae1a76e93f1b16740b	ASI-Bench Generated Instances — Seed 42 Paper · Website · GitHub · Leaderboard Dataset Summary ASI-Bench evaluates general intelligence, innovation, and autonomous execution through 60 project-level scientific research tasks spanning 11 domains. Each task provides four matched prompt c...	1,000	1,001	56,549,133	[ "language:en", "license:apache-2.0", "size_categories:n<1K", "arxiv:2608.17271", "region:us", "benchmark", "agents", "ai-for-science", "scientific-reasoning" ]	2026-07-28T09:54:19	null	null
6a7a9221a6aebb13c7baf5a0	nvidia/Nemotron-SFT-SWE-v3.5	nvidia	{"license": "cc-by-4.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*.jsonl.gz"}]}]}	false	False	2026-08-11T03:14:14	19	14	false	4d33715650e9897f4813a76203c9834c5f83d620	Nemotron-SFT-SWE-v3.5 Dataset Description: Nemotron-SFT-SWE-v3.5 is a software engineering instruction-tuning dataset designed to advance the capabilities of large language models (LLMs) on software engineering (SWE)-style tasks. The seed tasks model real-world coding applications requirin...	756	756	268,806,288	[ "license:cc-by-4.0", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us" ]	2026-08-11T03:08:17	null	null
6a60a044d3559d7ff7b5590d	r0b0tlab/qwen3.8-max-distillation-50k	r0b0tlab	{"license": "other", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["distillation", "knowledge-distillation", "reasoning", "chain-of-thought", "supervised-fine-tuning", "math", "code", "instruction-following", "tool-use", "qwen"], "size_categories": ["10K<n<100K"], "pretty_na...	false	False	2026-07-22T11:27:58	108	13	false	ab9f8b289423c249fc0054507f045a12efb54b1b	Qwen3.8-Max Distillation 50K A curated dataset of 49,772 teacher-generated traces from qwen3.8-max-preview, prepared for supervised fine-tuning and off-policy knowledge distillation. The teacher responses are preserved as returned by the API. Where the model emitted visible <think>...</think> blocks, tho...	2,977	3,336	70,765,792	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "license:other", "size_categories:10K<n<100K", "format:parquet", "format:optimized-parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissa...	2026-07-22T10:49:40	null	null
639244f571c51c43091df168	Anthropic/hh-rlhf	Anthropic	{"license": "mit", "tags": ["human-feedback"]}	false	False	2023-05-26T18:47:34	2,002	12	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 p...	34,029	2,000,971	94,745,957	[ "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2204.05862", "region:us", "human-feedback" ]	2022-12-08T20:11:33	null	null
6a802dee081f54ef245b59d2	CaptiveDreamer/CaraArchive	CaptiveDreamer	null	false	False	2026-08-21T08:48:51	23	11	false	e489da831802210652a04577744295102df61626	CaraArchive Index Dataset join my friend's discord server for more archivals: https://discord.gg/wvmX3aHPVe 1) This is an Index Dataset, not an Image dataset This dataset contains 0 image data. It only contains links to Cara App's CDN and metadata. HuggingFace may load some images in the...	917	917	12,719,271,161	[ "size_categories:1M<n<10M", "format:text", "modality:image", "modality:text", "library:datasets", "library:mlcroissant", "region:us" ]	2026-08-15T09:14:22	null	null
6836f247cf9a0d4bc29a8cc5	ai4bharat/MSMARCO-XI	ai4bharat	null	false	False	2025-06-03T04:25:36	27	10	false	bf5cdc1f26e581e519018e434db14edd1b77602b	MS MARCO Translations Dataset Dataset Description This dataset contains the MS MARCO dataset translated into various Indic languages. The original MS MARCO dataset is a collection of queries, passages, and answers for machine reading comprehension and question answering tasks. Each example...	23,307	25,999	55,619,613,700	[ "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2506.01615", "region:us" ]	2025-05-28T11:23:51	null	null
6a74d6d5eaacdf5e0d9381fa	nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1	nvidia	{"license": ["cc-by-4.0"], "language": ["en"], "task_categories": ["text-generation"], "pretty_name": "Nemotron-RL-Agentic-Terminal-Pivot-v1", "tags": ["text", "agentic", "code", "software engineering", "tool use", "reasoning", "reinforcement-learning", "synthetic", "human", "terminal"], "size_categories": ["10K<n<100K...	false	False	2026-08-11T18:53:45	27	10	false	df75a0134ab603d6926f5b6efb9eacd3603b2049	Dataset Description The Nemotron-RL-Agentic-Terminal-Pivot-v1 dataset provides training samples for reinforcement learning of command-line ("terminal use") LLM agents with the terminus_judge environment in NeMo Gym. Each record is a single agent decision point extracted from a successful agent trajectory...	1,101	1,101	1,372,472,323	[ "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "text", "agentic", "code", "software engineering", "tool use"...	2026-08-06T18:47:49	null	null
6a7d6d08bdcab0214ba5aaf1	FireCRT/CoinVE-200K	FireCRT	{"license": "cc-by-nc-sa-4.0", "task_categories": ["video-to-video", "text-to-video"], "language": ["en"], "tags": ["video-editing", "compositional-editing", "instruction-guided", "dataset", "video-dataset"], "size_categories": ["100K<n<1M"]}	false	False	2026-08-19T07:26:58	10	10	false	7989adca1088928414242c57dd62ce485f740889	CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing Fuchen Long, Cong Wang, Zitao Gao, Wenhao Zhong, Yu Cheng, Xiaolu Hou Yan Li, Xiao Cao, Xinlong Sun†, Xi Chen✉, Yu Liu † Project Leader ✉ Corresponding Author Smart Creation Platform Department, Online Video...	5,943	5,943	2,780,382,421,246	[ "task_categories:video-to-video", "task_categories:text-to-video", "language:en", "license:cc-by-nc-sa-4.0", "size_categories:100K<n<1M", "arxiv:2608.17566", "region:us", "video-editing", "compositional-editing", "instruction-guided", "dataset", "video-dataset" ]	2026-08-13T07:06:48	null	null
6a85f3d4347f554a98efd62f	PatronusAI/figmatrace	PatronusAI	{"pretty_name": "FigmaTrace", "license": "cc-by-4.0", "language": ["en"], "size_categories": ["1K<n<10K"], "tags": ["gui-agents", "computer-use", "design", "figma", "trajectories"], "task_categories": ["image-text-to-text"]}	false	False	2026-08-22T03:38:04	10	10	false	e592e21596a1fc742be461536bebccc8cb23b710	Dataset Card for FigmaTrace FigmaTrace is a dataset of expert human Figma design workflows: 200+ hours of screen-recorded work converted into 3,469 agent trajectories using a design phase-based segmentation method. It is built to teach vision language models the creative skills and decisions behind desig...	1,062	1,062	22,260,458,326	[ "task_categories:image-text-to-text", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "gui-agents", "computer-use", "design", "...	2026-08-19T18:20:04	null	null
6a1322e1c134b7b3c1f3bd83	Kukedlc/suno-ai-music-dataset	Kukedlc	{"license": "cc-by-4.0", "tags": ["music", "audio", "ai-generated", "suno", "music-generation", "dataset", "multi-genre"], "task_categories": ["audio-classification", "text-to-audio"], "language": ["en"], "size_categories": ["n<1K"], "pretty_name": "Suno AI Music Dataset \u2014 Multi-Genre Curated", "configs": [{"confi...	false	False	2026-05-25T01:56:46	23	9	false	bdff424e70c10ef62dca13ba43659ad9e7e1fcdb	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 ...	1,439	8,520	4,017,410,784	[ "task_categories:audio-classification", "task_categories:text-to-audio", "language:en", "license:cc-by-4.0", "size_categories:n<1K", "format:csv", "modality:audio", "modality:image", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcro...	2026-05-24T16:10:09	null	null
6a2a47c4f5ff6c6dee016974	armand0e/claude-fable-5-claude-code	armand0e	{"pretty_name": "claude-fable-5 Agent Traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "format:agent-traces", "claude", "distillation", "claude-fable-5", "teich"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "*.jsonl"}]}]}	false	False	2026-06-19T16:23:10	366	9	false	c19fb6831700da833b22d1c9cdac47fe8603685c	claude-fable-5 Agent Traces It's worth noting that our team was working with Glint-Research to collect as much fable data as possible. These are just the anonymized raw traces of both of our teams combined. This means that Glint-Research/Fable-5-traces was created from formatting and splitting up this sa...	4,413	25,379	75,140,629	[ "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", "distillation",...	2026-06-11T05:29:40	null	null
6a7e5e96e1986fb7b588a175	FINAL-Bench/AX-RAY	FINAL-Bench	{"pretty_name": "AX-Ray AI/AX Safety Diagnostics Dataset", "language": ["en", "ko"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation", "question-answering"], "size_categories": ["n<1K"], "tags": ["ai-safety", "ax-safety", "ai-evaluation", "model-evaluation", "model-audit", "safety-diagnostics", "deploym...	false	False	2026-08-14T02:09:38	47	9	false	cc8cbe237ec816c750eae3bcb571ccbdf6b05de7	AX-RAY AX-RAY is the versioned, machine-readable AI safety, AX safety, model evaluation, and deployment-readiness criteria catalog behind the FINAL-Bench AX-Ray Space. It organizes 117 AI/AX safety diagnostic criteria, including causal-leakage and causal-integrity review items, across model-intrinsic a...	1,375	1,375	879,127	[ "task_categories:text-generation", "task_categories:question-answering", "annotations_creators:expert-generated", "source_datasets:original", "language:en", "language:ko", "license:cc-by-nc-4.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "l...	2026-08-14T00:17:26	null	null

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Changelog

NEW Changes March 11th 2026

Added new split: arxiv_papers, sourced from the Hugging Face /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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