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 2026-08-15 13:27:13	likes int64 0 9.78k	trendingScore float64 0 74	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 2.54M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-08-15 13:27:12	paperswithcode_id large_stringclasses 719 values	citation large_stringlengths 0 10.7k ⌀
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	3,207	74	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 ...	418,229	9,538,425	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
639244f571c51c43091df168	Anthropic/hh-rlhf	Anthropic	{"license": "mit", "tags": ["human-feedback"]}	false	False	2023-05-26T18:47:34	1,972	45	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...	33,738	1,990,167	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
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	97	44	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...	3,233	3,233	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
6a7930b01702714af35a9dce	ostris/minimax_h3_1k	ostris	null	false	False	2026-08-10T02:58:09	30	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...	5,172	5,172	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
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	2026-08-14T17:16:18	344	26	false	ef074e272dd3e5e75c4d78e62d6483ec9281a77d	🥞 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...	237,737	237,737	3,544,637,694,938	[ "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
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	42	22	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...	11,740	11,778	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
65377f5989dd48faca8f7cf1	HuggingFaceH4/ultrachat_200k	HuggingFaceH4	{"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "UltraChat 200k", "configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-"}, {"split": "test_sft", "path": "data/test_sft-"}, {"split": "train_g...	false	False	2024-10-16T11:52:27	873	17	false	8049631c405ae6576f93f445c6b8166f76f5505a	Dataset Card for UltraChat 200k Dataset Description This is a heavily filtered version of the UltraChat dataset and was used to train Zephyr-7B-β, a state of the art 7b chat model. The original datasets consists of 1.4M dialogues generated by ChatGPT and spanning a wide range of topics. To...	79,784	1,144,624	1,624,055,929	[ "task_categories:text-generation", "language:en", "license:mit", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2305.14233", "region:us" ]	2023-10-24T08:24:57	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	33	17	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...	89	89	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
6a3404497e03daf35bd3202e	scholarweave/arxiv-latex	scholarweave	{"license": "other", "license_name": "dual-license", "license_link": "LICENSE", "task_categories": ["text-generation", "feature-extraction"], "language": ["en"], "tags": ["science", "arxiv", "latex", "academic"], "pretty_name": "arXiv LaTeX Source Dataset", "size_categories": ["1M<n<10M"], "configs": [{"config_name": "...	false	False	2026-08-10T14:55:05	130	15	false	a64471103c2563f6428e61ba7ab28b33417a47a5	arXiv LaTeX Source Dataset This dataset provides the entire corpus of arXiv's LaTeX source files, pre-parsed, formatted, and aligned with official metadata in ready-to-query Parquet files. Why I Built This If you have ever tried to work with the complete histor...	16,279	49,997	289,210,617,452	[ "task_categories:text-generation", "task_categories:feature-extraction", "language:en", "license:other", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "science", "arxiv", "latex", ...	2026-06-18T14:44:25	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	487	15	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 ...	17,546	19,431	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
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	92	14	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...	2,372	2,372	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
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	14	14	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...	445	445	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
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	2026-08-09T15:21:10	38	13	false	1c1650f4b8a882c29fd4cec41c2eaa671e6d1716	🌐 Browse UnsolvedMath online ✅ Paper: Open Mathematical Problems as an AI Reasoning Benchmark UnsolvedMath Dataset A comprehensive curated collection of 5,426 open mathematics problems across all domains and difficulty levels, including the largest collection of Erdős problems available in machine-reada...	1,030	1,702	42,389,369	[ "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
6a64903713862c0dcfc56ea5	sarvamai/indic-diarbench	sarvamai	{"license": "cc-by-4.0", "task_categories": ["automatic-speech-recognition", "audio-to-audio"], "language": ["as", "bn", "brx", "doi", "gu", "hi", "kn", "ks", "kok", "mai", "ml", "mni", "mr", "ne", "or", "pa", "sa", "sat", "sd", "ta", "te", "ur"], "pretty_name": "Indic DiarBench", "size_categories": ["1K<n<10K"], "tags...	false	False	2026-08-11T12:17:51	13	12	false	92877bad8aab6e598167d91c6ee02aa8ca6ede09	Indic DiarBench A multilingual joint diarization and ASR benchmark for Indian languages, spanning all 22 scheduled languages of India with approximately 108 hours of natural multi-speaker audio. Paper: Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages (Interspeech 2...	783	787	12,055,899,193	[ "task_categories:automatic-speech-recognition", "task_categories:audio-to-audio", "language:as", "language:bn", "language:brx", "language:doi", "language:gu", "language:hi", "language:kn", "language:ks", "language:kok", "language:mai", "language:ml", "language:mni", "language:mr", "lan...	2026-07-25T10:30:15	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	1,567	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. ...	1,004,076	14,500,741	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
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	1,258	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 ...	403,783	8,389,913	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
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	2026-08-08T13:33:46	26	11	false	c288990ce59b055e7bf9411f663d0f672ae16102	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...	2,096	2,096	626,001,004,197	[ "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
6a75128c5cd4fce0bee1c1e6	llamaindex/ExtractBench	llamaindex	{"license": "apache-2.0", "configs": [{"config_name": "extract-bench", "features": [{"name": "id", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "pdf", "dtype": "string"}, {"name": "data_schema", "dtype": "string"}, {"name": "expected_output", "dtype": "string"}, {"name": "field_rules", "dtype":...	false	False	2026-08-13T16:03:56	13	10	false	49d80b17f9071939dce90ddac7033fab5c30b977	ExtractBench Quick links: [🌐 Website] [📜 Paper] [💻 Code] Given a document and a schema, a system returns structured data with evidence. The input is a full document, born-digital or scanned, and a schema written by the user. The output is a schema-valid JSON object, with the source page and a boundin...	2,356	2,356	847,704,739	[ "benchmark:official", "language:en", "license:apache-2.0", "size_categories:n<1K", "format:json", "modality:document", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2607.29677", "region:us", "document-extraction",...	2026-08-06T23:02:36	null	null
6a7898e5505f415acd9182e2	histde/ddb-newspaper-corpus	histde	{"pretty_name": "DDB Newspaper Corpus", "language": ["de"], "license": "other", "license_name": "public-domain", "license_link": "https://creativecommons.org/publicdomain/mark/1.0/", "task_categories": ["text-generation", "fill-mask"], "tags": ["newspapers", "historical", "ocr", "cultural-heritage", "public-domain", "d...	false	False	2026-08-10T17:42:59	10	10	false	6e6b308e1787d3ae7d3463d8eba25119047cf5eb	📰 DDB Newspaper Corpus A corpus of 11,551,703 pages of historical German newspapers in the public domain, harvested from the Deutsche Digitale Bibliothek (DDB) and its Zeitungsportal. It covers 1,607,744 issues from 796 newspapers published between 1638 and 1964, totalling 25.8 billion whitespace tokens...	379	379	68,987,130,877	[ "task_categories:text-generation", "task_categories:fill-mask", "language:de", "license:other", "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2510.13996", "region:us", "newspapers", "hi...	2026-08-09T15:12:37	null	null
681139b8ff0764f384f0b38e	SWE-bench/SWE-bench_Verified	SWE-bench	{"dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "instance_id", "dtype": "string"}, {"name": "base_commit", "dtype": "string"}, {"name": "patch", "dtype": "string"}, {"name": "test_patch", "dtype": "string"}, {"name": "problem_statement", "dtype": "string"}, {"name": "hints_text", "dtype": "...	false	False	2026-08-10T02:06:09	142	9	false	03e151cf5560b1af6a4363c6a9d766deaaea6b56	Dataset Summary SWE-bench Verified is a subset of 500 samples from the SWE-bench test set, which have been human-validated for quality. SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. See this post for more details on the human-validation process. The dataset collects 500 test I...	82,003	1,187,362	2,486,780	[ "benchmark:official", "benchmark:eval-yaml", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2025-04-29T20:42:32	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

Updated Daily

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