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 2026-07-25 13:22:28	likes int64 0 9.77k	trendingScore float64 0 123	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 8.55M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-07-25 13:20:19	paperswithcode_id large_stringclasses 712 values	citation large_stringlengths 0 10.7k ⌀
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	2026-07-24T18:36:04	128	123	false	de81e3ca7151fc8b8769dbc2dfc0af5ac92b6d1e	🥞 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...	35,376	35,376	4,711,370,231,977	[ "task_categories:text-generation", "language_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:multilingual", "language:code", "license:odc-by", "size_categories:100M<n<1B", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", ...	2026-07-23T00:13:09	null	null
6a4e1fe2df56b09d5f449aa8	SupraLabs/reasoning-corpus-4K-5M-v1	SupraLabs	{"license": "apache-2.0", "task_categories": ["text-generation"], "language": ["en"], "tags": ["reasoning", "CoT", "code", "agentic", "thinking", "think", "deepseek-v4", "qwen3", "qwen3next"], "pretty_name": "Reasoning Corpus 5M", "size_categories": ["1M<n<10M"]}	false	False	2026-07-21T02:31:33	107	79	false	1fc50907cffff48186f61e52a750dabec2c09435	Reasoning Corpus 5M · Within 5k sequence length About Dataset This dataset contains reasoning chains from major AI models, such as: DeepSeek-v4 (both Pro and Flash), DeepSeek-r1 (DS-r1, Llama-DS, Qwen-DS), Qwen3, Qwen3.5/3.6 (both OpenSource and API models), Gemma4-31B derived from many other reposito...	2,167	2,167	68,664,454,256	[ "task_categories:text-generation", "language:en", "license:apache-2.0", "size_categories:1M<n<10M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "reasoning", "CoT", "code", "agentic", "thinking", "think", ...	2026-07-08T10:01:06	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	347	47	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 ...	5,195	5,195	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
6a4509196c643209b19b2fc7	Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	Manusagents	{"license": "mit", "language": ["en", "multilingual"], "task_categories": ["text-generation", "other"], "tags": ["distillation", "instruction-tuning", "sft", "reasoning", "coding", "code-repositories", "cybersecurity", "attack", "defense", "exploit", "penetration-testing", "red-team", "blue-team", "open-source", "colle...	false	False	2026-07-18T18:01:17	68	43	false	f0aa1d8326d7ca5c4a01982ca8299a783bc59faf	📖 The Open Distillation Codex 🌌 The Ultimate Open-Source Distillation Dataset — No Skip, Full, with Attack & Defense 🌌 Where 73 open-source minds converge into one unified stream of intelligence 18M+ Distilled Signals · 7,090 Raw GitHub Repositories · 8 Curated Categories · ~7...	7,265	7,265	76,526,135,473	[ "task_categories:text-generation", "task_categories:other", "language:en", "language:multilingual", "license:mit", "size_categories:10M<n<100M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "distillation", "in...	2026-07-01T12:33:29	null	null
6a292cbbe1b5c7903e6fbe30	openbmb/UltraX-Preview	openbmb	{"language": ["en"], "license": "apache-2.0", "size_categories": ["10B<n<100B"], "task_categories": ["text-generation"], "pretty_name": "UltraX", "tags": ["llm", "pretraining", "web-corpus", "data-refinement", "programmatic-editing", "function-calling"], "configs": [{"config_name": "UltraX-FineWeb", "data_files": [{"sp...	false	False	2026-07-17T03:02:12	264	42	false	a88527587389fd4ab352e9ad1273f4c0a234d8df	UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing 📜 Paper \| 💻 Code \| 🤖 Models \| 📦 UltraData Collection English \| 中文 📚 Introduction UltraX is a function-calling refinement framework for large-scale pre-training data that ad...	6,347	6,353	486,915,481,612	[ "task_categories:text-generation", "language:en", "license:apache-2.0", "size_categories:100M<n<1B", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2607.08646", "region:us", "llm", "pretraining", "web-corpus", "dat...	2026-06-10T09:22:03	null	null
6a5ae883a5f7ad08ccdbda43	greghavens/kimi-k3-coding-and-debugging-traces	greghavens	{"pretty_name": "Kimi K3 Coding, Tool Use & Instruction Following Traces", "license": "cc-by-4.0", "language": ["en"], "annotations_creators": ["machine-generated"], "task_categories": ["text-generation"], "size_categories": ["1K<n<10K"], "tags": ["traces", "code", "agentic", "tool-use", "coding-agent", "coding-agents"...	false	False	2026-07-25T01:18:22	37	36	false	b594ab95ab7e3964012d8c072e22e71ed81d0b5f	Kimi K3 Coding, Tool Use & Instruction Following Traces 702 TRAJECTORIES · 4,928 TRAINING ROWS · 3 MB PARQUET · 90 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool...	2,442	2,442	5,018,189	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "t...	2026-07-18T02:44:19	null	null
6a2cd0828137fb18cecbcc06	Glint-Research/Fable-5-traces	Glint-Research	{"license": "agpl-3.0", "pretty_name": "Fable 5 Pi Agent Traces", "annotations_creators": ["machine-generated"], "language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "tags": ["agent-traces", "pi-agent", "claude-code", "fable-5", "chain-of-thought", "tool-use", "coding-agents", "s...	false	False	2026-06-29T15:10:20	666	35	false	e05c417852fc59fd8da758e68b352732423ca0cb	Glint Research Dataset Card Fable 5 Pi Agent Traces A compact, high-signal corpus of Fable 5 coding-agent traces converted into Hugging Face Agent Traces / Pi-compatible sessions for Data Studio inspection, tool-use policy learning, and reasoning/action distillation. ...	61,491	90,678	187,507,989	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "license:agpl-3.0", "size_categories:1K<n<10K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", ...	2026-06-13T03:37:38	null	null
6a437ed52e089285573dcfd3	markov-ai/gaming-500-hours	markov-ai	{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "metadata.jsonl"}]}]}	false	False	2026-06-30T11:56:39	214	30	false	5af703f2810306e7d75eb4394ae59591f1f6e8a2	Gaming Dataset (gaming-1) — 494.7 Hours Native PC/console gameplay screen-recordings, organized by game. Each workflow is one play session, trimmed to pure gameplay — login screens, launchers, desktop, collection-app references, and any watching/streaming are removed. In-game menus, lobbies, loading, and...	41,011	41,011	1,598,371,626,719	[ "size_categories:n<1K", "format:json", "modality:tabular", "modality:text", "modality:video", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-30T08:31:17	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	29	29	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...	247	247	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
621ffdd236468d709f184284	wikimedia/wikipedia	wikimedia	{"language": ["ab", "ace", "ady", "af", "alt", "am", "ami", "an", "ang", "anp", "ar", "arc", "ary", "arz", "as", "ast", "atj", "av", "avk", "awa", "ay", "az", "azb", "ba", "ban", "bar", "bbc", "bcl", "be", "bg", "bh", "bi", "bjn", "blk", "bm", "bn", "bo", "bpy", "br", "bs", "bug", "bxr", "ca", "cbk", "cdo", "ce", "ceb"...	false	False	2024-01-09T09:40:51	1,330	24	false	b04c8d1ceb2f5cd4588862100d08de323dccfbaa	Dataset Card for Wikimedia Wikipedia Dataset Summary Wikipedia dataset containing cleaned articles of all languages. The dataset is built from the Wikipedia dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split. Each example contains the co...	250,729	2,682,246	71,792,022,791	[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "language:ab", "language:ace", "language:ady", "language:af", "language:alt", "language:am", "language:ami", "language:an", "language:ang", "language:anp", "...	2022-03-02T23:29:22	null	null
69d185a53c023c2c9072697a	netflix/Vera-Layered-Video-Dataset	netflix	{"license": "apache-2.0", "task_categories": ["text-to-video"], "tags": ["diffusion", "layered-diffusion", "video", "layered-video-dataset", "video-editing", "video-generation"]}	false	False	2026-07-17T01:33:49	51	18	false	8e0b98ee9bce66fdae345e75aa766ef7c0a04d4e	Dataset for Vera: A Layered Diffusion Model for Content-Preserving Video Editing Hongkai Zheng¹²*  ·  Ta-Ying Cheng²  ·  Benjamin Klein²  ·  Yisong Yue¹  ·  Zhuoning Yuan²† ¹California Institute of Technology    ²Netflix, Inc. *Work done...	14,756	24,169	319,639,945,834	[ "task_categories:text-to-video", "license:apache-2.0", "size_categories:10K<n<100K", "modality:video", "arxiv:2606.23610", "region:us", "diffusion", "layered-diffusion", "video", "layered-video-dataset", "video-editing", "video-generation" ]	2026-04-04T21:41:57	null	null
645e8da96320b0efe40ade7a	roneneldan/TinyStories	roneneldan	{"license": "cdla-sharing-1.0", "task_categories": ["text-generation"], "language": ["en"]}	false	False	2024-08-12T13:27:26	1,094	17	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...	91,128	1,585,597	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
6a34e9d01b6b6e116d313e13	Crownelius/Complete-FABLE.5-traces-2M	Crownelius	{"license": "mit", "pretty_name": "Complete FABLE.5 Traces 2M", "annotations_creators": ["machine-generated"], "language": ["en"], "language_creators": ["found", "machine-generated"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "task_ids": ["language-mo...	false	False	2026-07-16T18:20:04	127	17	false	f4530f12b1a1f46531f26051d66b62f2ad2de63c	Complete FABLE.5 Traces 2M Provenance-cleaned FABLE.5 / Claude corpus — trimmed to content-verified traces only. Dataset Viewer \| Parquet This dataset is a post-closure compilation of FABLE.5 / Claude trace datasets found on Hugging Face after the closure of Fable and Mythos. It is deduplic...	13,967	15,256	497,799,384	[ "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:machine-generated", "language_creators:found", "language_creators:machine-generated", "multilinguality:monolingual", "language:en", "license:mit", "size_categories:10K<n<100K", "format:parquet", "modality:tabu...	2026-06-19T07:03:44	null	null
6a54a57f36d31ec6cbee47d6	ianncity/GLM-5.2-Conversation	ianncity	{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["reasoning", "chain-of-thought", "science", "physics", "chemistry", "biology", "distillation", "sft", "glm-5.2", "math", "programming"], "size_categories": ["10K<n<100K"], "pretty_name": "GLM-5.2 Convers...	false	False	2026-07-16T11:30:15	21	17	false	c831fbec04d34c982bbf1ef73d07b723c77a4fa8	GLM-5.2 · Conversation-50000x 50,000x traces distilled from GLM-5.2 on High reasoning Token Count: 120M Distribution: Speaking domains: •Greetings •Customer Support •Step by step explanations •Motivational language •Logical Questions •Cre...	1,136	1,136	485,528,881	[ "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", "reasoning", "chain-of-tho...	2026-07-13T08:44:47	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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