Datasets:

cfahlgren1
/

hub-stats

_id large_stringlengths 24 24	id large_stringlengths 4 123	author large_stringlengths 2 42	cardData large_stringlengths 2 1.1M ⌀	disabled bool 1 class	gated large_stringclasses 3 values	lastModified timestamp[us]date 2021-02-05 16:03:35 2026-06-23 13:17:11	likes int64 0 9.74k	trendingScore float64 0 116	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 2.82M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-06-23 13:17:07	paperswithcode_id large_stringclasses 711 values	citation large_stringlengths 0 10.7k ⌀
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	2026-06-19T01:28:44	372	116	false	3e6e668a6674427a595d3719b716adb2496946a2	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. ...	19,185	19,185	187,507,932	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "license:agpl-3.0", "size_categories:1K<n<10K", "region:us", "agent-traces", "pi-agent", "claude-code", "fable-5", "chain-of-thought", "tool-use", "coding-agents", "synthetic-data", "distillation"...	2026-06-13T03:37:38	null	null
6a34f2903fa953254cf4a016	Glint-Research/Complete-FABLE.5-traces-2M	Glint-Research	{"license": "mit", "pretty_name": "Complete FABLE.5 Traces 2M", "annotations_creators": ["machine-generated"], "language": ["en"], "language_creators": ["found", "machine-generated"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "task_ids": ["language-mode...	false	False	2026-06-21T12:26:52	101	97	false	689ed0a5e1cfd2a0a6339e778fee18afb0294b17	Complete FABLE.5 Traces 2M Full FABLE.5 / Mythos corpus restored, with session-limit answer rows removed. Dataset Viewer \| Parquet \| Raw JSONL.gz This dataset is a post-closure compilation of all available FABLE.5 / Mythos trace datasets found on Hugging Face during the curation pass after the ...	6,196	6,196	2,079,549,309	[ "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:1M<n<10M", "region:us", "agent-traces", "tr...	2026-06-19T07:41:04	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	192	85	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...	7,978	7,978	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
6a2c5668f7f66fcaa0d54e17	lazarus19/Vibe-Coding-Instruct	lazarus19	{"license": "apache-2.0", "task_categories": ["text-generation"], "language": ["en"], "tags": ["custom", "vibecodinginstruct"], "pretty_name": "Vibe-Coding-Instruct", "size_categories": ["1M<n<10M"]}	false	False	2026-06-18T13:52:24	151	65	false	7ad49b3cbf0b73934b1d567d2b5c4768bce7989e	null	1,709	1,709	458,936,450	[ "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", "custom", "vibecodinginstruct" ]	2026-06-12T18:56:40	null	null
6a307dae8e258cbed418ec58	XDOF/ABC-130k	XDOF	{"license": "apache-2.0", "pretty_name": "ABC", "language": ["en"], "tags": ["robotics", "manipulation", "imitation-learning", "bimanual", "teleoperation", "mcap"], "task_categories": ["robotics"], "size_categories": ["n>1T"], "configs": [{"config_name": "yam", "data_files": [{"split": "train", "path": "data/train/**"}...	false	auto	2026-06-22T17:53:22	44	44	false	071311db1ac281848714bff024f9c6f944837c40	ABC-130k ABC-130k is the largest open-source robot teleoperation dataset. It contains bimanual manipulation trajectories collected on two-arm YAM stations. Episodes are distributed as MCAP files, with subtask annotations kept as separate artifacts so they can be revised or extended independently of the u...	87,103	87,103	22,101,486,810,360	[ "task_categories:robotics", "language:en", "license:apache-2.0", "size_categories:n>1T", "region:us", "robotics", "manipulation", "imitation-learning", "bimanual", "teleoperation", "mcap" ]	2026-06-15T22:33:18	null	null
67ac9b0ae2c56194379f17a9	SakanaAI/AI-CUDA-Engineer-Archive	SakanaAI	{"tags": ["code"], "pretty_name": "The AI CUDA Engineer Archive", "license": "cc-by-4.0", "configs": [{"config_name": "default", "data_files": [{"split": "level_1", "path": "level_1.parquet"}, {"split": "level_2", "path": "level_2.parquet"}, {"split": "level_3", "path": "level_3.parquet"}]}]}	false	False	2025-02-20T02:02:27	216	42	false	4edbe8d6d0b417e05aaf8ec7e23f78aecdc5516b	The AI CUDA Engineer Archive 👷: Agentic CUDA Kernel Discovery, Optimization & Composition We release The AI CUDA Engineer archive, a dataset consisting of approximately 30,000 CUDA kernels generated by The AI CUDA Engineer. It is released under the CC-By-4.0 license and can be accessed via HuggingFace and ...	2,613	30,380	67,716,683	[ "license:cc-by-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "code" ]	2025-02-12T12:58:50	null	null
6a05fb804b04c5157df46866	WithinUsAI/claude_mythos_distilled_25k	WithinUsAI	{"license": "apache-2.0", "language": ["en"], "tags": ["synthetic", "claude", "mythos", "distillation", "cybersecurity", "coding", "reasoning", "agentic", "frontier-model-mirror", "sft", "instruction-tuning"], "size_categories": ["10K<n<100K"], "pretty_name": "Claude Mythos Distilled 25K", "dataset_info": {"features": ...	false	False	2026-05-18T00:45:03	111	39	false	2c5e638c51a22b8b883def51bab685ae7e282c72	Claude Mythos Distilled 25K A high-quality synthetic supervised fine-tuning (SFT) dataset designed to train and fine-tune any LLM to mirror the capabilities, reasoning style, agentic behavior, and technical depth of Anthropic's Claude Mythos (distilled frontier model). Dataset Summary Siz...	2,733	2,928	55,202,753	[ "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "synthetic", "claude", "mythos", "distillation", "cybersecurity", "coding", "reasoning", "a...	2026-05-14T16:42:40	null	null
69fa9e0468659d62c5c9df7b	LocalLaws/LOCUS-v1	LocalLaws	{"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-classification"], "pretty_name": "LOCUS v1.0", "tags": ["law", "legal-nlp", "local-government", "municipal-law", "ordinances", "classification"], "configs": [{"config_name": "default", "data_files": [{"split": "tr...	false	False	2026-06-20T03:06:10	40	35	false	4cee954ca8ad8e31cb0502dff6682c87b74b4302	LOCUS v1.0 This repository contains the dataset presented in the paper Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States. Dataset Summary LOCUS v1.0 is a chunk-level dataset of U.S. municipal and county law text labeled by legal function. Each eligible chunk is ass...	1,130	1,380	1,765,908,117	[ "task_categories:text-classification", "language:en", "license:cc-by-nc-4.0", "size_categories:1M<n<10M", "format:parquet", "format:optimized-parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2606.19334", "reg...	2026-05-06T01:48:52	null	null
69f434edee1d16ec78d229ce	angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k	angrygiraffe	{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["sft", "chain-of-thought", "coding", "math", "roleplay", "science", "humanities", "art", "multi-turn", "text", "json"], "pretty_name": "Claude Opus 4.6/4.7 Reasoning Dataset", "size_categories": ["1K<n<1...	false	False	2026-05-01T17:11:41	408	29	false	f0330e0ca46469b3928adef18c2b55f9476d6bd3	Background Ended up with some tokens to burn on a Claude Max plan. Assembly began during 4.6 and moved to 4.7. Model is tagged. The development evolved as it went along. The dataset has not been manually reviewed. It's entirely Claude developed. Clarification on Reasoning The reasoning is ...	10,260	15,367	260,301,481	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "region:us", "sft", "chain-of-thought", "coding", "math",...	2026-05-01T05:06:53	null	null
6a31fb7d840df2d57f83c572	nvidia/Nemotron-Personas-Belgium	nvidia	{"license": "cc-by-4.0", "language": ["nl", "fr", "de", "en"], "task_categories": ["text-generation"], "tags": ["synthetic", "personas", "NVIDIA", "datadesigner", "belgium", "Dutch", "French", "German", "English"], "size_categories": ["1M<n<10M"], "dataset_info": {"features": [{"name": "uuid", "dtype": "string"}, {"nam...	false	False	2026-06-17T05:12:10	30	29	false	b13368c38c5667c9b8b035accaf0d2b3298b38b3	Nemotron-Personas-Belgium (NL) Een compound-AI-benadering van meertalige Belgische persona's, verankerd in reële verdelingen (FR) Une approche d'IA composée pour des personas belges multilingues, ancrés dans des distributions réelles (DE) Ein Compound-KI-Ansatz für mehrsprachige belgis...	1,658	1,658	4,023,924,923	[ "task_categories:text-generation", "language:nl", "language:fr", "language:de", "language:en", "license:cc-by-4.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "library:datadesigner", "regio...	2026-06-17T01:42:21	null	null
6a2d8bf9763f90e1368360cb	lordx64/agentic-distill-fable-5-sft	lordx64	{"license": "agpl-3.0", "language": ["en"], "tags": ["agentic", "chain-of-thought", "distillation", "claude", "claude-fable-5", "agent-traces", "sft", "qwen-chat-template", "qwable"], "task_categories": ["text-generation"], "size_categories": ["1K<n<10K"], "configs": [{"config_name": "default", "data_files": [{"split":...	false	False	2026-06-15T14:15:12	32	27	false	9df06dd13b692dd482bd6ef0e547f577a5f94942	Fable-5 SFT — prepared for Qwable fine-tuning 4,659 single-turn pairs from Claude Fable-5 (Anthropic preview model, suspended globally 2026-06-22 under U.S. export-control directives), reformatted into a single-text-column parquet ready for SFTTrainer(dataset_text_field="text") + train_on_responses_only....	732	732	14,605,136	[ "task_categories:text-generation", "language:en", "license:agpl-3.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "agentic", "chain-of-thought", "distillation", "claude", "cla...	2026-06-13T16:57:29	null	null
6a22a21cc8842b3b35401c7e	aidigestorg/ai-village	aidigestorg	{"pretty_name": "AI Village", "license": "other", "license_name": "ai-village-research-terms", "language": ["en"], "tags": ["agents", "llm-agents", "computer-use", "ai-safety", "agentic-behavior"], "size_categories": ["1M<n<10M"], "extra_gated_heading": "Request access to the AI Village dataset", "extra_gated_prompt": ...	false	manual	2026-06-21T11:30:59	23	16	false	780a59e2a4c0a06be61aee81f7eb02f26628b920	AI Village dataset AI Village is an ongoing experiment by AI Digest in which a group of AI agents — built on frontier models from Anthropic, OpenAI, and Google — live together in a long-running virtual environment. They have their own computers, interact with the real world, are in a group chat with each...	465	465	108,058,914,905	[ "language:en", "license:other", "size_categories:1M<n<10M", "region:us", "agents", "llm-agents", "computer-use", "ai-safety", "agentic-behavior" ]	2026-06-05T10:17:00	null	null
6a2b051031a20563f82dcada	trace-commons/agent-traces	trace-commons	{"license": "cc-by-4.0", "pretty_name": "Trace Commons \u2014 Agent Traces", "task_categories": ["text-generation"], "language": ["en"], "tags": ["agent", "agent-traces", "coding-agent", "traces", "tool-use", "open-data"], "configs": [{"config_name": "default", "data_files": "data/*.parquet"}]}	false	False	2026-06-18T06:23:00	21	15	false	112ebd4d03ce852b00e935d523107c3d0c9a65bf	Trace Commons — Agent Traces Trace Commons is one open, public dataset of coding-agent sessions — the back-and-forth between a developer and an AI coding agent, including prompts, model responses, tool calls, and command output — contributed voluntarily as an open resource for studying, evaluating, and b...	917	917	127,441,063	[ "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:n<1K", "format:parquet", "format:optimized-parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "agent", "agent-tr...	2026-06-11T18:57:20	null	null
6a1cbd0141aa598ff9f9bf57	HelioAI/Fable-5-Distill-Reasoning-462x	HelioAI	{"annotations_creators": ["machine-generated"], "language": ["en", "ru"], "license": "unknown", "size_categories": ["n<1K"], "task_categories": ["text-generation"], "tags": ["reasoning", "long-context", "reasoning-traces", "synthetic-data", "chain-of-thought", "process-supervision", "mythos-v2", "deep-reasoning", "trac...	false	False	2026-06-15T22:35:42	30	14	false	ab4e69b74e7ef455f15f23fc60bac891db90a918	HelioAI Labs Mythos V2 Full Distill DeepReason 462×105M Unrestricted full-parameter distillation from Mythos V2 — complete reasoning traces with zero alignment truncation, engineered for deep analytical research and process supervision. ...	998	998	146,180,522	[ "task_categories:text-generation", "annotations_creators:machine-generated", "language:en", "language:ru", "license:unknown", "size_categories:n<1K", "region:us", "reasoning", "long-context", "reasoning-traces", "synthetic-data", "chain-of-thought", "process-supervision", "mythos-v2", "d...	2026-05-31T22:58:09	null	null
6a29db4a4fe1f0c157a84192	allenai/molmo-motion-1m	allenai	{"license": "other", "license_name": "mixed-per-subdataset", "license_link": "LICENSE", "pretty_name": "MolmoMotion-1M", "task_categories": ["other"], "language": ["en"], "size_categories": ["1M<n<10M"], "tags": ["3d-point-tracking", "trajectory-forecasting", "point-tracking", "robotics", "egocentric-video"]}	false	False	2026-06-18T02:56:40	13	13	false	c3dec07d796ddeccdc8f5a35bf4920b3ee044feb	MolmoMotion-1M MolmoMotion-1M is a dataset of 3D point-trajectory annotations curated across seven video corpora — ego-centric manipulation, real-world robot teleoperation, dynamic real-world scenes, and simulator renders. Each clip ships motion-filtered 3D tracks (and, for most datasets, 2D pixel tracks...	1,424	1,424	285,601,107,377	[ "task_categories:other", "language:en", "license:other", "size_categories:1M<n<10M", "arxiv:2606.18558", "region:us", "3d-point-tracking", "trajectory-forecasting", "point-tracking", "robotics", "egocentric-video" ]	2026-06-10T21:46:50	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	1,402	12	false	740312add88f781978c0658806c59bc2815b9866	Dataset Card for GSM8K Dataset Summary GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning. These p...	880,943	12,691,287	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
69a88758b1a7a119a30f88c2	ibm-research/ScarfBench	ibm-research	{"task_categories": ["text-generation"], "tags": ["code", "benchmark", "evaluation", "java", "code-translation", "agentic"], "pretty_name": "Scarf Benchmark"}	false	False	2026-05-22T13:23:33	16	12	false	82de5bc7330dad7470ad0320c5774437cb83e423	Scarf (Self-Contained Application Refactoring) is a benchmark suite for evaluating AI agents' ability to migrate enterprise Java applications across Jakarta EE, Quarkus, and Spring while preserving functionality, idiomatic patterns, and architectural integrity. Applications Layers Frameworks Tests ...	224	3,214	151,945,534	[ "task_categories:text-generation", "arxiv:2605.06754", "region:us", "code", "benchmark", "evaluation", "java", "code-translation", "agentic" ]	2026-03-04T19:26:16	null	null
6a23971aed8b6eeac4e4fef0	GenAI4ELab/papercli-papers	GenAI4ELab	{"license": "cc-by-4.0", "pretty_name": "AI Conference & Journal Papers", "configs": [{"config_name": "aaai", "data_files": [{"split": "2026", "path": "browse/aaai/2026.parquet"}, {"split": "2025", "path": "browse/aaai/2025.parquet"}, {"split": "2024", "path": "browse/aaai/2024.parquet"}, {"split": "2023", "path": "bro...	false	False	2026-06-20T18:14:37	15	12	false	90a1fbd3c355717092966debf5f7f69bdc6a1cf6	AI Conference & Journal Papers Searchable metadata and full-text PDF mirrors for papers from top-tier AI venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, WACV, ACL, EMNLP, NAACL, IJCAI, AAAI, JMLR, Interspeech) from 2023. 📊 papers.parquet: The complete dataset containing all fields and all venues. 🔍 Pe...	10,593	10,593	167,540,957	[ "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-06T03:42:18	null	null
69e15643062441e6b7109caa	nvidia/Open-SWE-Traces	nvidia	{"dataset_info": {"features": [{"name": "instance_id", "dtype": "string"}, {"name": "repo", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "trajectory_id", "dtype": "string"}, {"name": "trajectory", "list": [{"name": "role", "dtype": "string"}, {"name": "co...	false	False	2026-06-18T01:07:45	19	11	false	bba1f836179d0a9a9b037d6b7296951a3d4219a2	Open-SWE-Traces: Advancing Distillation for Software Engineering Agents Data Overview Open-SWE-Traces is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 200k+ agent trajectories collected using the SWE-agen...	1,221	1,233	17,783,602,359	[ "license:cc-by-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2606.16038", "region:us", "code", "synthetic", "tools", "agents", "software" ]	2026-04-16T21:36:03	null	null
6a06cc4dea20d325f8fc6213	ArtificialAnalysis/ITBench-AA	ArtificialAnalysis	{"license": "cc-by-4.0", "language": ["en"], "task_categories": ["question-answering"], "tags": ["sre", "kubernetes", "root-cause-analysis", "agents", "it-operations"], "pretty_name": "ITBench-AA", "size_categories": ["n<1K"], "configs": [{"config_name": "sre", "data_files": [{"split": "test", "path": "sre/data.jsonl"}...	false	False	2026-05-27T01:28:25	14	11	false	76df38a82288f75ba9e41dc8c515033332497473	ITBench-AA Artificial Analysis' release of the public scenarios from IBM's ITBench benchmark, used for the ITBench-AA leaderboard. This repo currently contains the SRE subset (sre config). Each row is a Kubernetes incident scenario with its expected contributing-factor entities. An agent under evaluation...	21,167	21,168	31,095,271,891	[ "task_categories:question-answering", "language:en", "license:cc-by-4.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "sre", "kubernetes", "root-cause-analysis", "agents", "it-operat...	2026-05-15T07:33:33	null	null
6a294060470b7ac939ed241b	victor/fable-5-boeing-747-trace	victor	{"pretty_name": "Fable 5 Boeing 747 - Claude Code session trace", "license": "mit", "tags": ["agent-traces", "claude-code", "threejs", "fable-5"], "configs": [{"config_name": "default", "data_files": "trace.jsonl"}]}	false	False	2026-06-11T20:13:15	28	11	false	e146afb46a99b3873a1a61e12454ba3cd2fff299	Fable 5 Boeing 747: Claude Code session trace The full Claude Code (Fable 5) session transcript that built victor/fable-5-boeing-747, a procedural Boeing 747 in Three.js, from a single /goal prompt: create the most realistic boeing 747 using THREEJS - use your vision capabilities to create a self verifi...	1,413	1,413	31,577,223	[ "license:mit", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "agent-traces", "claude-code", "threejs", "fable-5" ]	2026-06-10T10:45:52	null	null
6a3246e7ae94378f6d10aff0	PawanKrd/claude-fable-5-code	PawanKrd	{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "code.fable-5.jsonl"}]}], "dataset_info": {"features": [{"name": "category", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "model", "dtype": "stri...	false	False	2026-06-17T07:37:06	11	11	false	4bf63f6009a984b50f5a7e07368e3fe24fa849aa	Claude Fable 5 Coding and Math Dataset (Non-Thinking) This repository contains a dataset of 603 coding and math-related prompts and responses from Claude Fable 5. The generation of this dataset cost approximately $75. Please note that this dataset is non-thinking. Fable 5 only supported adaptive thinking...	299	299	3,173,322	[ "task_categories:text-generation", "language:en", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "code", "claude", "fable-5" ]	2026-06-17T07:04:07	null	null
6a36e65ae86005a76f1c7adf	ajibawa-2023/Shell-Code-Large	ajibawa-2023	{"license": "mit", "task_categories": ["text-generation"], "language": ["en"], "tags": ["Shell", "Code", "LLM", "Training"], "size_categories": ["100K<n<1M"]}	false	False	2026-06-20T19:48:46	12	11	false	91adad625cc7d91ce983f95466e1bbfb2693fd87	Shell-Code-Large Shell-Code-Large is a large-scale corpus of Shell scripting source code comprising approximately 640,000 code samples stored in JSON Lines (.jsonl) format. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, DevOps automation, cloud i...	59	59	3,365,721,917	[ "task_categories:text-generation", "language:en", "license:mit", "size_categories:100K<n<1M", "region:us", "Shell", "Code", "LLM", "Training" ]	2026-06-20T19:13:30	null	null
6a2e1445807dbfac594a1bc0	attentionAllYouNeed/Vibe-Coding-Claude-Fable-5	attentionAllYouNeed	null	false	False	2026-06-14T02:39:02	16	10	false	31cafe83c6d9e54576d15c137b84a61e538a9ccb	null	619	619	458,936,274	[ "size_categories:1M<n<10M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-14T02:39:01	null	null
6a3154f1671ba44c169ee371	google/WikiProfile	google	{"license": "cc-by-sa-4.0", "task_categories": ["question-answering"], "language": ["en"], "tags": ["Factuality", "Knowledge", "Wikipedia", "QA"], "pretty_name": "wikiprofile", "size_categories": ["1K<n<10K"]}	false	False	2026-06-19T09:58:02	10	10	false	0448b6abf3d6fb0a964e6935c0265dbd47584cda	WikiProfile WikiProfile is a factual knowledge benchmark for evaluating how well language models encode and recall factual knowledge. It comprises 2,150 facts, each paired with 10 questions, for a total of 21,500 question instances. Each fact is grounded in the first paragraph (summary) of an English Wik...	188	188	7,510,683	[ "task_categories:question-answering", "language:en", "license:cc-by-sa-4.0", "size_categories:1K<n<10K", "arxiv:2602.14080", "region:us", "Factuality", "Knowledge", "Wikipedia", "QA" ]	2026-06-16T13:51:45	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": ["1M<n<10M"], "task_categories": ["text-generation"], "task_ids": ["language-mode...	false	False	2026-06-21T12:26:51	10	10	false	19a5b7863e10eec6838cf531bd20d24d2ec1106e	Complete FABLE.5 Traces 2M Full FABLE.5 / Mythos corpus restored, with session-limit answer rows removed. Dataset Viewer \| Parquet \| Raw JSONL.gz This dataset is a post-closure compilation of all available FABLE.5 / Mythos trace datasets found on Hugging Face during the curation pass after the ...	483	483	2,079,549,297	[ "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:1M<n<10M", "region:us", "agent-traces", "tr...	2026-06-19T07:03:44	null	null
66212f29fb07c3e05ad0432e	HuggingFaceFW/fineweb	HuggingFaceFW	{"license": "odc-by", "task_categories": ["text-generation"], "language": ["en"], "pretty_name": "FineWeb", "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data//"}]}, {"config_name": "sample-10BT", "data_files": [{"split": "train", "path": "sample/10BT/*...	false	False	2025-07-11T20:16:53	2,896	9	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 ...	318,887	8,530,587	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
69de50c9e68630cf3109d7b5	Meddies/meddies-consultant	Meddies	{"pretty_name": "Meddies Consultant", "language": ["vi", "en"], "license": "cc-by-nc-4.0", "annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "multilinguality": "multilingual", "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "configs": [{"config_name": "vietnam...	false	False	2026-06-17T19:11:06	10	9	false	05428709a7572f6f0d4aa5045e6ba255fa85af51	Meddies Consultant Vietnamese-first clinical consultations and QA supervision for teams building safer healthcare AI. [!IMPORTANT] This is a research artifact for healthcare AI teams. It is not medical advice, not a deployment approval, and not a substitute for clinical oversight. If you ...	503	689	913,287,403	[ "task_categories:question-answering", "task_categories:text-generation", "annotations_creators:machine-generated", "language_creators:machine-generated", "multilinguality:multilingual", "source_datasets:original", "language:vi", "language:en", "license:cc-by-nc-4.0", "size_categories:100K<n<1M", ...	2026-04-14T14:35:53	null	null
6a00ee1b8af2b11e0d2b374b	WithinUsAI/GPT_5.5_Distilled	WithinUsAI	{"license": "apache-2.0"}	false	False	2026-05-12T17:49:04	18	9	false	4f49e8c7e98ca80694b7378ff8fed5f7344c5fb3	null	800	930	46,711,856	[ "license:apache-2.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-05-10T20:44:11	null	null
6a2eb2458137fb18ce092f89	MiG-NJU/OmniVideo-100K	MiG-NJU	{"license": "apache-2.0", "task_categories": ["video-text-to-text"], "size_categories": ["10K<n<100K"], "tags": ["video", "text", "image"], "configs": [{"config_name": "oe_70k", "data_files": [{"split": "train", "path": "train_oe_70k.jsonl"}]}, {"config_name": "mcq_30k", "data_files": [{"split": "train", "path": "train...	false	False	2026-06-21T08:42:13	14	9	false	e53ad9bb76082e030493bff60f027ac785779e78	OmniVideo-100K Official repository for OmniVideo-100K, an instruction-tuning dataset introduced in our paper: "OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains". This repository includes: videos.tar.part_xx: Raw video files. train_oe_70k.jsonl: Ori...	2,319	2,319	52,778,597,527	[ "task_categories:video-text-to-text", "license:apache-2.0", "size_categories:10K<n<100K", "modality:video", "modality:text", "modality:image", "arxiv:2606.14702", "region:us", "video", "text", "image" ]	2026-06-14T13:53:09	null	null
6a35a1b97d1c93c320e0c0d1	AletheiaResearch/GLM-5.2-Agent	AletheiaResearch	{"pretty_name": "GLM-5.2 Agent traces", "task_categories": ["text-generation"], "tags": ["agent-traces", "format:agent-traces", "pi", "distillation", "z-ai/glm-5.2", "teich"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "*/.jsonl"}]}]}	false	False	2026-06-21T10:38:48	9	9	false	8f45bd5a141d236a23a6481a5bd505320d5eb8ed	This dataset was generated using teich by TeichAI GLM-5.2 Agent traces This directory contains raw agent trace files generated by teich. JSONL files: 280 Model metadata: z-ai/glm-5.2 Training-ready tools Generated agent traces carry configured or recovered tool schemas so tools remain ava...	272	272	89,799,153	[ "task_categories:text-generation", "region:eu", "agent-traces", "format:agent-traces", "pi", "distillation", "z-ai/glm-5.2", "teich" ]	2026-06-19T20:08:25	null	null
656523d6bfb751371817c448	Idavidrein/gpqa	Idavidrein	{"license": "cc-by-4.0", "viewer": true, "extra_gated_prompt": "You agree to NOT reveal examples from this dataset in plain text or images online, to reduce the risk of leakage into foundation model training corpora.", "extra_gated_fields": {"I accept these terms": "checkbox"}, "configs": [{"config_name": "gpqa_extende...	false	auto	2026-03-05T23:06:58	467	8	false	633f5ee89ab8ad4522a9f850766b73f62147ffdd	Dataset Card for GPQA GPQA is a multiple-choice, Q&A dataset of very hard questions written and validated by experts in biology, physics, and chemistry. When attempting questions out of their own domain (e.g., a physicist answers a chemistry question), these experts get only 34% accuracy, despite spending ...	103,737	1,842,165	8,713,216	[ "benchmark:official", "benchmark:eval-yaml", "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:cc-by-4.0", "size_categories:1K<n<10K", "format:csv", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "...	2023-11-27T23:18:46	null	null
6655eb19d17e141dcb546ed5	HuggingFaceFW/fineweb-edu	HuggingFaceFW	{"license": "odc-by", "task_categories": ["text-generation"], "language": ["en"], "pretty_name": "FineWeb-Edu", "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data//"}], "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"},...	false	False	2025-07-11T20:16:53	1,161	8	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 ...	399,350	7,680,835	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
66ec310ff6a692d629b2667b	wikimedia/structured-wikipedia	wikimedia	{"language": ["en", "fr"], "pretty_name": "Wikimedia Structured Contents Dataset", "tags": ["wikipedia", "wikimedia", "structured-data", "parquet", "knowledge-base", "references", "citations", "tables", "multilingual"], "configs": [{"config_name": "enwiki_namespace_0", "data_files": [{"split": "train", "path": "enwiki/...	false	False	2026-05-19T12:54:16	384	8	false	417c267bb457fa645c22eb3b5c77764963194c70	Dataset Card for Wikimedia Structured Wikipedia Quick Links Wikimedia Enterprise Structured Contents Documentation Data Dictionary Wikimedia Attribution Framework Meta-Wiki Discussion Dataset Summary Pre-parsed English and French Wikipedia articles, extracted using the Wik...	18,146	43,231	72,556,848,943	[ "language:en", "language:fr", "license:cc-by-sa-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us", "wikipedia", "wikimedia", "structured-data", "parquet", "knowledge-base", "...	2024-09-19T14:11:27	null	null
68ae11cd78570b7e4c66edba	ScaleAI/SWE-bench_Pro	ScaleAI	{"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": "requirements", "dtype":...	false	False	2026-02-23T20:54:47	137	8	false	7ab5114912baf22bb098818e604c02fe7ad2c11f	Dataset Summary SWE-Bench Pro is a challenging, enterprise-level dataset for testing agent ability on long-horizon software engineering tasks. Paper: https://static.scale.com/uploads/654197dc94d34f66c0f5184e/SWEAP_Eval_Scale%20(9).pdf See the related evaluation Github: https://github.com/scaleapi/SWE-bench_P...	66,950	1,099,236	7,822,488	[ "benchmark:official", "benchmark:eval-yaml", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2025-08-26T19:58:05	null	null
69693d3f3669d609ad898396	ibm-research/ITBench-Lite	ibm-research	{"license": "apache-2.0", "dataset_info": {"features": [{"name": "scenario_id", "dtype": "string"}, {"name": "domain", "dtype": "string"}, {"name": "version", "dtype": "string"}, {"name": "task_type", "dtype": "string"}, {"name": "snapshot_data", "dtype": "object"}], "configs": [{"config_name": "sre", "data_files": [{"...	false	False	2026-04-21T15:30:08	12	8	false	d0916b08ba421ce5e672e9ad68aa947d938dfef0	ITBench-Lite Dataset Card Dataset Overview Dataset Name: ITBench-LiteOrganization: IBM ResearchLicense: Apache 2.0Language: EnglishPaper: ITBench: Evaluating AI Agents across Diverse Real-World IT Automation TasksGitHub: ITBench ITBench-Lite is a systematic framework for benchmarking LLMs and AI...	9,218	21,676	31,034,154,126	[ "task_categories:question-answering", "task_categories:text-generation", "task_categories:other", "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "arxiv:2502.05352", "region:us", "kubernetes", "sre", "finops", "ciso", "incident-response", "fault-diagnosis", "root-cause...	2026-01-15T19:17:19	null	null
6986cb617ee2b3c146bd2432	openbmb/Ultra-FineWeb-L3	openbmb	{"language": ["en", "zh"], "license": "apache-2.0", "size_categories": ["100B<n<1T"], "task_categories": ["text-generation"], "pretty_name": "Ultra-FineWeb-L3", "tags": ["llm", "pretraining", "data-synthesis", "data-filtering", "high-quality", "general-knowledge", "qa-generation", "multi-style-rewriting", "minicpm"], "...	false	False	2026-05-28T09:03:52	302	8	false	c68ab81ad03b2d2f476fa8ab3c72bed3528da359	Ultra-FineWeb-L3 📜 Ultra-FineWeb Technical Report \| 📦 UltraData Collection \| 🌐 UltraData \| 🤗 MiniCPM5 Series English \| 中文 📚 Introduction Ultra-FineWeb-L3 is the L3 refined data for general high-quality web data within UltraData's L0-L4 tiered data management framework. Moving...	93,328	95,789	1,899,216,536,437	[ "task_categories:text-generation", "language:en", "language:zh", "license:apache-2.0", "size_categories:1B<n<10B", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "arxiv:2505.05427", "arxiv:2602.09003", "region:us", "llm", ...	2026-02-07T05:19:29	null	null
69b0a69caab02f7aaec0e66f	bones-studio/seed	bones-studio	{"license": "other", "license_name": "bones-seed-license", "license_link": "https://bones.studio/info/seed-license", "task_categories": ["robotics", "text-to-video", "video-text-to-text"], "tags": ["motion-capture", "humanoid-robotics", "human-motion", "physical-ai", "whole-body-control", "NVIDIA-SOMA", "Unitree-G1", "...	false	auto	2026-05-03T15:03:12	156	8	false	2f59b2077b9da34dd4e43618e705c7cb962c9a66	BONES-SEED: Skeletal Everyday Embodiment Dataset BONES-SEED is an open dataset of 142,220 annotated human motion animations for humanoid robotics. It provides motion capture data in SOMA and Unitree G1 formats, with natural language descriptions, temporal segmentation, and detailed skeletal metadata. Proj...	4,231	17,411	null	[ "task_categories:robotics", "task_categories:text-to-video", "task_categories:video-text-to-text", "language:en", "license:other", "size_categories:100K<n<1M", "region:us", "motion-capture", "humanoid-robotics", "human-motion", "physical-ai", "whole-body-control", "NVIDIA-SOMA", "Unitree-G...	2026-03-10T23:17:48	null	null
6a2a5f5f2ef38e1f849a8ebf	tencent/Hy-Embodied-0.5-VLA-Data	tencent	{"license": "cc-by-4.0", "task_categories": ["robotics", "reinforcement-learning"], "tags": ["robotics", "manipulation", "bimanual", "VLA", "leRobot", "lance", "imitation-learning"], "pretty_name": "Hy-Embodied-0.5-VLA-Data", "size_categories": ["1M<n<10M"], "configs": [{"config_name": "tables", "data_files": [{"split"...	false	False	2026-06-17T07:01:26	12	8	false	91549f8ba9e6a050f124c499cabc3597ba5a943a	Hy-Embodied-0.5-VLA From Vision-Language-Action Models to a Real-World Robot Learning Stack Tencent Robotics X × Tencent Hy Team 📖 Abstract We introduce Hy-Embodied-0.5-VLA (Hy-VLA) — an end-to-end Vision-Language-Action system that spans the full robot learning stack: data collection, m...	75,873	75,873	20,719,290,256,980	[ "task_categories:robotics", "task_categories:reinforcement-learning", "license:cc-by-4.0", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "library:lerobot", "library:lance", "arxi...	2026-06-11T07:10:23	null	null
6a303f5537d076ceefbc1821	cfahlgren1/Fable-5-traces	cfahlgren1	{"license": "agpl-3.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "sessions/*.jsonl"}]}]}	false	False	2026-06-15T19:09:24	10	8	false	0ba6f53852f296f8389290b112054b47cec2dc1f	A simple dataset of the raw Fable 5 Claude session logs we could get our hands on before it was taken away (no clue if it's coming back). The raw trace files live in sessions/*.jsonl. Cache files, paste-cache files, shell history, and merged COT training exports are intentionally omitted so Hugging Face Datasets can lo...	1,148	1,148	62,074,362	[ "license:agpl-3.0", "size_categories:n<1K", "format:json", "format:agent-traces", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "region:us" ]	2026-06-15T18:07:17	null	null
6a313297671ba44c169b69c0	HKUSTAudio/ISCSLP2026-CoT-TTS	HKUSTAudio	{"viewer": false}	false	False	2026-06-19T02:00:44	8	8	false	29e5d4b3232398763ca6b42ec0c6025f1c9d7e8a	ISCSLP 2026 CoT-TTS Dataset Dataset Overview This dataset is prepared for the ISCSLP 2026 CoT-TTS Challenge and is designed to support research on context-aware, expressive, and CoT-guided speech generation. It is constructed from speech-rich media sources, including films, TV dramas, radi...	3,438	3,438	2,152,290,152,143	[ "region:us" ]	2026-06-16T11:25:11	null	null
621ffdd236468d709f181e5e	cais/mmlu	cais	{"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["multiple-choice-qa"], "paperswit...	false	False	2024-03-08T20:36:26	775	7	false	c30699e8356da336a370243923dbaf21066bb9fe	Dataset Card for MMLU Dataset Summary Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branc...	454,598	41,993,983	null	[ "task_categories:question-answering", "task_ids:multiple-choice-qa", "annotations_creators:no-annotation", "language_creators:expert-generated", "multilinguality:monolingual", "source_datasets:original", "language:en", "license:mit", "size_categories:100K<n<1M", "format:parquet", "modality:text"...	2022-03-02T23:29:22	mmlu	null
6835e8703de5738a2e9af4ae	nvidia/PhysicalAI-Autonomous-Vehicles	nvidia	{"extra_gated_heading": "You must agree to the NVIDIA Autonomous Vehicle Dataset License Agreement to access this dataset.", "extra_gated_prompt": "### NVIDIA Autonomous Vehicle Dataset License Agreement\n\nThis NVIDIA Autonomous Vehicle Dataset License Agreement (\"Agreement\") is a legal agreement between you, whethe...	false	auto	2026-05-06T21:55:22	922	7	false	b719eea7f0a63619ef51ec7f54178af0937ef050	PHYSICAL AI AUTONOMOUS VEHICLES The PhysicalAI-Autonomous-Vehicles dataset provides one of the largest, geographically diverse collections of multi-sensor data empowering AV researchers to build the next generation of Physical AI based end-to-end driving systems. This dataset is ready for commercial/non-com...	199,196	2,505,723	133,214,352,118,097	[ "license:other", "region:us" ]	2025-05-27T16:29:36	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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