Datasets:

cfahlgren1
/

hub-stats

_id large_stringlengths 24 24	id large_stringlengths 5 123	author large_stringlengths 2 42	disabled bool 1 class	gated large_stringclasses 3 values	lastModified timestamp[us]date 2021-02-05 16:03:35 2028-12-10 06:25:49	likes int64 0 9.91k	trendingScore float64 0 291	private bool 1 class	sha large_stringlengths 40 40	downloads int64 0 5.08M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-10-26 13:19:52	cardData large_stringlengths 2 2.4M ⌀	description large_stringlengths 0 6.67k ⌀	paperswithcode_id large_stringclasses 719 values	citation large_stringlengths 0 10.7k ⌀
6a429172c50c64cfb0a54dfb	nvidia/simready-assets	nvidia	false	False	2026-10-20T00:15:00	344	291	false	524747d9b5e1f21b5b18b56041788c01d745f1a1	393,196	393,617	472,467,499,234	[ "size_categories:n<1K", "modality:image", "region:us" ]	2026-06-29T15:38:26	null	null	null	null
6ad6246c3a48e8f4dd2faec9	scenario-labs/3d-collection	scenario-labs	false	False	2026-10-19T15:21:02	247	232	false	55b4c002b4c1529fc48da3dff98516c3069bfa3f	20,299	20,299	38,680,167,995	[ "license:cc-by-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:3d", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-10-19T14:08:44	{"pretty_name": "Scenario 3D Collection", "license": "cc-by-4.0", "configs": [{"config_name": "default", "data_files": "data/*.parquet"}]}	Scenario 3D Collection 1,342 selected AI-generated 3D examples, with all 1,500 output files downloaded. About 39 GB including previews and available source inputs. Another 393 examples made with Tencent Hunyuan models are published separately under their own licenses: Scenario 3D Collection (Hunyuan). ...	null	null
6a1b134acd3cccc1ba63521f	Vyber07/cyber-security	Vyber07	false	auto	2026-08-31T17:57:10	364	141	false	bc7a780571cb67d482250649ab573908b9557873	4,823	10,463	95,039,000,249	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "license:apache-2.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "cybersecurity", "penetration-te...	2026-05-30T16:41:46	{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["cybersecurity", "penetration-testing", "red-team", "blue-team", "web-security", "cloud-security", "malware", "forensics", "exploit", "vulnerability", "iot", "ai-security", "bug-bounty", "offensive-secur...	Cybersecurity AI Knowledge Base — PhD-Level Dataset Overview This is the most comprehensive cybersecurity knowledge base ever assembled for AI training. It covers all domains of cybersecurity at PhD-level depth — from offensive red teaming and bug bounty exploitation to defensive SOC opera...	null	null
6a96c11d1be93f5d15eff9f0	venvoo/china-a-share-l2-level2-limit-order-book-tick-data	venvoo	false	manual	2026-09-30T21:01:33	473	97	false	8d942a74865a67de55ba01b0b982d7ac8743f456	174,535	207,377	6,297,310,467,090	[ "license:other", "size_categories:n>1T", "region:us", "finance", "trading", "stock-market", "china", "a-share", "level-2", "limit-order-book", "tick-data", "high-frequency", "market-microstructure" ]	2026-09-01T12:12:13	{"license": "other", "license_name": "research-use-only", "license_link": "LICENSE", "gated": "manual", "extra_gated_heading": "Two steps before you request access / \u7533\u8bf7\u524d\u8bf7\u5148\u5b8c\u6210\u4e24\u6b65", "extra_gated_description": "1. Like (\u2665) this repository \u2014 the button is at the top ...	China A-Share Level-2 Archive 2017–2026 · Quotes, orders and trades · Parquet A historical archive of Chinese exchange Level-2 data, supplied through a vendor export. It includes ten-level quote snapshots, individual order messages and trade-stream records. The files cover A-share stocks and non-stock in...	null	null
6a21ab4879603ac03e5cef41	nvidia/Nemotron-Personas-Vietnam	nvidia	false	False	2026-10-16T01:30:43	223	58	false	950724d49b7b41eee7925ae035a2059286c890ff	21,173	31,861	2,253,642,804	[ "task_categories:text-generation", "language:vi", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "library:datadesigner", "region:us", "synthetic", "personas...	2026-06-04T16:43:52	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "language": ["vi"], "tags": ["synthetic", "personas", "NVIDIA", "Vietnamese", "datadesigner"], "size_categories": ["1M<n<10M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "professional_persona", "dtype": "string"}, {"name"...	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...	null	null
6ac0e39df4f1ce50a992796a	datasocial/tiktok-5.6B-videos	datasocial	false	False	2026-10-23T07:13:27	426	54	false	a466d03349b4afa490ac8906c8b5d17f6006abc0	30,649	30,649	460,480,293,914	[ "license:cc-by-nc-4.0", "size_categories:1B<n<10B", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "tiktok", "social-media", "short-video", "creators" ]	2026-10-03T11:14:37	{"license": "cc-by-nc-4.0", "pretty_name": "TikTok Videos (5.6 billion)", "tags": ["tiktok", "social-media", "short-video", "creators"], "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": "data/*.parquet"}]}	Contact Telegram: @hashfunction_dev X: @hashfunction Email: hashfunction.dev@gmail.com TikTok scraper source code The code that collected these 5.6 billion videos. TikTok's mobile API: 24 endpoints, request signing, device registration. Technical guide + source code → Columns Co...	null	null
6ad68202810d666542732105	nvidia/Nemotron-Personas-Germany	nvidia	false	False	2026-10-20T20:34:57	46	42	false	dc3131fdb38b558830cb38fbffc1dd08a482bc7b	1,892	1,892	1,935,872,721	[ "task_categories:text-generation", "language:de", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "library:datadesigner", "region:us", "synthetic", "personas", "NVIDIA", "Ge...	2026-10-19T20:48:02	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "language": ["de"], "tags": ["synthetic", "personas", "NVIDIA", "German", "datadesigner"], "size_categories": ["1M<n<10M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "professional_persona", "dtype": "string"}, {"name": "s...	Nemotron-Personas-Germany Ein Compound-AI-Ansatz für synthetische Personas auf Basis realer Verteilungen A compound AI approach to personas grounded in real-world distributions Datensatzübersicht (Dataset Overview) Nemotron-Personas-Germany ist ein Open-Source-Datensatz...	null	null
6aaa4864f37373a4ce11d91a	LocalLLaMA/typed-decisions	LocalLLaMA	false	False	2026-10-24T14:49:22	249	29	false	9ee69423ce0b0568c2d2d86e92c72ed7952fd084	43,341	57,926	2,187,352	[ "benchmark:official", "benchmark:eval-yaml", "task_categories:text-classification", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region...	2026-09-16T07:42:28	{"license": "apache-2.0", "language": ["en"], "pretty_name": "Typed Decisions", "size_categories": ["n<1K"], "task_categories": ["text-classification"], "tags": ["structured-decisions", "calibration", "probabilistic-classification", "system-one", "workflow-evaluation", "synthetic"], "configs": [{"config_name": "agent_t...	Typed Decisions A benchmark for typed probabilistic decisions. A model gets one piece of unstructured state and answers five typed questions about it at once, and every answer is a probability distribution, not a single label. The schema follows the System One primitives (noul, choice, score) used by Typ...	null	null
6ad0e69d0f3f993c43934234	hongzhuyi/VDEBench	hongzhuyi	false	False	2026-10-20T08:52:04	36	29	false	78d3705b2fb5c24ccbbfb217c28e840145a4af0a	3,530	3,530	4,305,768,242	[ "task_categories:image-to-image", "language:en", "language:zh", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2602.00122", "region:us", "document-image-editing", "benchm...	2026-10-15T14:43:41	{"pretty_name": "VDEBench - Visual Document Editing (3506 examples)", "task_categories": ["image-to-image"], "language": ["en", "zh"], "size_categories": ["1K<n<10K"], "tags": ["document-image-editing", "benchmark", "bilingual", "text-editing", "table-editing"], "configs": [{"config_name": "default", "default": true, "...	VDEBench: Visual Document Editing Benchmark Edit the requested text or table. Preserve the rest of the document. VDEBench evaluates instruction-guided image editing on dense Chinese and English document pages. Models must make precise local changes while preserving surrounding text, table structure, t...	null	null
6a981c1f3a639ff95e1342fa	MoreThought/Fable-5.1-Max-Reasoning-Filtered-10000x	MoreThought	false	False	2026-10-10T12:16:08	397	28	false	4904ca0c09044f447aff16e4f66b6f2f53c9f702	4,961	8,182	2,538,730,713	[ "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:pandas", "library:polars", "library:mlcroissant", "region:us", "fable 5.1", "coding", "...	2026-09-02T12:52:47	{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "pretty_name": "The First And Best Fable 5.1 Reasoning Data", "tags": ["fable 5.1", "coding", "synthetic", "thinking", "think", "reason", "reasoning", "distill", "distillation", "agent", "agentic", "SFT", "CoT", ...	Dataset Description This dataset contains 10,000 agentic coding and reasoning multi-turn high-quality traces generated by the new Fable 5.1 model using max reasoning effort. It holds almost 500,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains. It has also been ...	null	null
6ab65a7f909092518dca860f	XiaomiMiMo/MiMo-V2.6-RL-oss	XiaomiMiMo	false	False	2026-10-20T02:25:58	1,009	28	false	e8e81e4945270b6212204bad99de1e598f7fb077	251,088	257,235	12,101,776,908	[ "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:document", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-09-25T11:26:55	{"license": "apache-2.0", "configs": [{"config_name": "code", "data_files": "code.parquet"}, {"config_name": "cyber", "data_files": "cyber.parquet"}, {"config_name": "general", "data_files": "general/train.parquet"}, {"config_name": "webdev", "data_files": "webdev.parquet"}, {"config_name": "music", "data_files": "musi...	Agentic RL Environments RL training environments for LLM agents. Domain Task Family Verifier Code Software engineering Executable tests Cyber Vulnerability reproduction Rule checks General Knowledge work Rubric-based judging Visual Web development Visual grading Music Symbolic music co...	null	null
6a43ed3ce2608b1f641148ef	CohereLabsCommunity/CulturalRiddles	CohereLabsCommunity	false	False	2026-10-23T21:00:26	28	27	false	2c966ee04044421e886ab9f20a2094ca74e932d4	354	358	9,882,058	[ "task_categories:question-answering", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:multilingual", "source_datasets:original", "language:aeb", "language:apc", "language:apd", "language:ary", "language:arz", "language:asm", "language:bel", "la...	2026-06-30T16:22:20	{"license": "other", "license_name": "culturalriddles-evaluation-only", "license_link": "LICENSE", "pretty_name": "Cultural Riddles", "language": ["aeb", "apc", "apd", "ary", "arz", "asm", "bel", "ben", "bug", "bul", "cat", "deu", "eng", "fra", "gaz", "guj", "hun", "ind", "ita", "jpn", "kan", "kok", "ltz", "lug", "mal"...	Cultural Riddles Paper: arXiv:2610.29968 · Explore the results: dashboard · Play: try the riddles yourself · Code: github.com/Cohere-Labs-Community/CulturalRiddles A community-built benchmark of original cultural riddles from 62 communities across 51 languages and 45 countries, written by 167 native spea...	null	null
6ad52b704339527205302f48	Anthropic/scorpion-toxin-binder-design	Anthropic	false	False	2026-10-20T13:24:29	38	26	false	0bac3d0286f7f83b5339f5b4f1e67fbe47a6e7c1	3,984	3,984	1,446,821,547	[ "license:cc-by-4.0", "size_categories:10K<n<100K", "format:csv", "modality:image", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "biology", "proteins", "protein-design", "de-novo-binders", "scorpion-toxi...	2026-10-18T20:26:24	{"license": "cc-by-4.0", "pretty_name": "Scorpion toxin binder design (data release)", "size_categories": ["n<1K"], "tags": ["biology", "proteins", "protein-design", "de-novo-binders", "scorpion-toxins", "antivenom", "surface-plasmon-resonance", "biolayer-interferometry", "structure-prediction"], "configs": [{"config_n...	Scorpion toxin binder design: data release Claude designed proteins de novo to bind five scorpion toxins: Cn2, Ts1, AaH II, AaH I, and LqhIII. Two contract research organizations measured binding by surface plasmon resonance (SPR): Adaptyv Bio and Twist Bioscience. Seventeen designs are binders: seven ag...	null	null
6acf83ccd612a805e03988b5	Qwen/BlenderWorld	Qwen	false	False	2026-10-15T09:46:44	58	25	false	e67837a78e2d963447bc1b147db42f46bc6ef07f	8,687	8,687	617,233,372	[ "language:en", "language:zh", "license:mit", "size_categories:n<1K", "library:harbor", "region:us", "benchmark", "harbor", "blender", "3d-generation", "multimodal" ]	2026-10-14T13:29:48	{"pretty_name": "BlenderWorld (Harbor, Base64 Images)", "viewer": false, "license": "mit", "language": ["en", "zh"], "tags": ["benchmark", "harbor", "blender", "3d-generation", "multimodal"], "size_categories": ["n<1K"]}	BlenderWorld BlenderWorld is the first comprehensive benchmark dedicated to evaluating frontier models on realistic 3D creation tasks. BlenderWorld comprises 223 tasks spanning architecture, products, natural environments, and scientific visualization, driven by text, image, video, and structured specifi...	null	null
6ad7767b3403b51881651b8b	Rapidata/text-to-3d-with-llm-code	Rapidata	false	False	2026-10-22T14:48:56	28	24	false	149e096efda01e8624cff4f374212e0ef9c234fd	1,581	1,581	68,306,591	[ "task_categories:text-to-video", "language:en", "license:cc-by-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "doi:10.57967/hf/11174", "region:us", "...	2026-10-20T14:11:07	{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "license": "cc-by-4.0", "task_categories": ["text-to-video"], "language": ["en"], "size_categories": ["10K<n<100K"], "pretty_name": "Text-to-3D with LLM code", "tags": ["rapidata", "benchmark", "llm-evaluation", "text-...	Rapidata Text-to-3D with LLM code Benchmark Built by Rapidata, collected with the Rapidata Python SDK. To evaluate your own models and create a leaderboard, check out our MRI. Live Leaderboard Explore the full interactive leaderboard — filter by model, question and prompt, and inspect indi...	null	null
6ad63976a5fb3002ddb9d314	nvidia/Nemotron-Personas-UK	nvidia	false	False	2026-10-20T15:23:33	27	23	false	0bb75b1469b90795eb56fa8a64927dac77dd0a11	1,139	1,139	1,493,069,907	[ "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "library:datadesigner", "region:us", "synthetic", "personas", "NVIDIA", "En...	2026-10-19T15:38:30	{"license": "cc-by-4.0", "task_categories": ["text-generation"], "language": ["en"], "tags": ["synthetic", "personas", "NVIDIA", "English", "datadesigner"], "size_categories": ["1M<n<10M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"name": "professional_persona", "dtype": "string"}, {"name": "...	Nemotron-Personas-UK A compound AI approach to personas grounded in real-world distributions Dataset Overview Nemotron-Personas-UK is an open-source (CC BY 4.0) dataset of synthetically-generated personas grounded in real-world demographic, geographic, and personality trait...	null	null
69b0a69caab02f7aaec0e66f	bones-studio/seed	bones-studio	false	auto	2026-05-03T15:03:12	338	22	false	2f59b2077b9da34dd4e43618e705c7cb962c9a66	6,886	38,957	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	{"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", "...	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...	null	null
6aba2c7aa8842e5c1f6e6ca4	Sharpa-Robotics/SharpaDex-v1.0	Sharpa-Robotics	false	False	2026-10-20T05:38:27	50	21	false	5c3715ace9a09a23fc79e7d21e75b4c06e19e859	116,351	116,351	7,690,158,959,604	[ "license:cc-by-nc-4.0", "size_categories:100K<n<1M", "modality:video", "region:us", "robotics", "lerobot", "imitation-learning", "visuomotor-learning", "tactile-sensing", "dexterous-manipulation", "bimanual-manipulation", "language-conditioned-robotics" ]	2026-09-28T08:59:38	{"license": "cc-by-nc-4.0", "pretty_name": "SharpaDex v1.0", "tags": ["robotics", "lerobot", "imitation-learning", "visuomotor-learning", "tactile-sensing", "dexterous-manipulation", "bimanual-manipulation", "language-conditioned-robotics"]}	SharpaDex v1.0 A multimodal dataset of real-world teleoperated demonstrations for bimanual dexterous manipulation. Overview · Get Started · Tasks · Examples · Features · Language · Citation An animated overview of 56 tasks in a uniform 8 × 7 grid, with head-camera and wrist-camera...	null	null
627007d3becab9e2dcf15a40	ILSVRC/imagenet-1k	ILSVRC	false	auto	2025-09-17T04:58:55	1,058	20	false	49e2ee26f3810fb5a7536bbf732a7b07389a47b5	96,136	2,507,186	166,753,325,463	[ "task_categories:image-classification", "task_ids:multi-class-image-classification", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "source_datasets:original", "language:en", "license:other", "size_categories:1M<n<10M", "format:parquet", "fo...	2022-05-02T16:33:23	{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "license_details": "imagenet-agreement", "multilinguality": ["monolingual"], "paperswithcode_id": "imagenet-1k-1", "pretty_name": "ImageNet", "size_categories": ["1M<n<10M"], "source_datasets": ["...	Dataset Card for ImageNet Dataset Summary ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are m...	imagenet-1k-1	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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