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 2026-08-04 13:19:54	likes int64 0 9.78k	trendingScore float64 0 148	private bool 1 class	sha large_stringlengths 40 40	description large_stringlengths 0 6.67k ⌀	downloads int64 0 4.19M	downloadsAllTime int64 0 143M	mainSize float64 0 306,846B ⌀	tags listlengths 1 7.92k	createdAt timestamp[us]date 2022-03-02 23:29:22 2026-08-04 13:18:20	paperswithcode_id large_stringclasses 715 values	citation large_stringlengths 0 10.7k ⌀
6a60c3ba35f4a8255c1e9907	XYZAILab/XYZ-Aquila-SFT	XYZAILab	{"license": "apache-2.0", "language": ["en", "zh"], "task_categories": ["text-generation", "question-answering"], "tags": ["agent", "tool-use", "multi-turn", "supervised-fine-tuning", "web-search", "xyz-aquila"], "pretty_name": "XYZ-Aquila SFT", "size_categories": ["1K<n<10K"], "configs": [{"config_name": "en", "data_f...	false	False	2026-07-29T08:28:13	347	148	false	0e7880cc14ed5c185e30e430c4ac1dc7c5faea71	XYZ-Aquila SFT XYZ-Aquila SFT is a bilingual release of 7,000 multi-turn, search-oriented tool-use trajectories, comprising 5,000 English examples and 2,000 Chinese examples. This release is a sample of the broader supervised fine-tuning data used for XYZ-Aquila-mini and XYZ-Aquila-pro. The examples capt...	931	931	2,772,823,471	[ "task_categories:text-generation", "task_categories:question-answering", "language:en", "language:zh", "license:apache-2.0", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "agent", "t...	2026-07-22T13:20:58	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	2026-08-03T13:24:25	298	82	false	82b75c5804fd12f9a8761c52791803f87e09e261	🥞 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...	143,828	143,828	4,638,923,282,417	[ "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
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	166	60	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...	11,590	12,813	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
6a4e1fe2df56b09d5f449aa8	Qyrou/reasoning-corpus-4K-5M-v1	Qyrou	{"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	2026-07-31T02:06:14	187	47	false	32cda5b5cf69fae14a8620659d57aee360f1a048	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...	6,212	6,212	68,664,454,407	[ "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
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	3,037	44	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 ...	532,525	9,364,832	54,812,538,723,397	[ "task_categories:text-generation", "language:en", "license:odc-by", "size_categories:10B<n<100B", "modality:tabular", "modality:text", "arxiv:2306.01116", "arxiv:2109.07445", "arxiv:2406.17557", "doi:10.57967/hf/2493", "region:us" ]	2024-04-18T14:33:13	null	null
6a4cc0ac90ce9cc602189d11	FlyRank/internship-warehouse	FlyRank	{"license": "other", "language": ["en"], "tags": ["seo", "content-performance", "data-warehouse", "tabular", "education", "flyrank-internship"], "pretty_name": "FlyRank Internship \u2014 Warehouse Star Schema (Pseudonymized, Gated)", "size_categories": ["10M<n<100M"], "extra_gated_prompt": "By requesting access you agr...	false	auto	2026-07-07T10:02:21	428	36	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 ...	12,007	12,007	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
6a64e8cdf91151a39e178c1c	unstonio/pixelgpt-24x24-20k	unstonio	{"license": "cc-by-4.0", "language": ["en"], "tags": ["pixel-art", "sprites", "24x24", "limited-palette", "text-to-image", "image-generation"], "size_categories": ["10K<n<100K"], "task_categories": ["text-to-image", "image-to-image"]}	false	False	2026-07-30T18:46:34	57	30	false	011632ac9e14b04cb667d4509fe81edfbda227c5	PixelGPT 24×24 — 20K 20,000 native 24×24 pixel-art sprites with captions and semantic taxonomy labels. This is a clean, rebalanced, rights-conscious public subset of the larger PixelGPT 24×24 dataset. Every sprite: is rendered at a native resolution of 24×24 pixels uses no more than 5 colors includes an...	5,490	5,490	10,353,782	[ "task_categories:text-to-image", "task_categories:image-to-image", "language:en", "license:cc-by-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "pixel-art",...	2026-07-25T16:48:13	null	null
621ffdd236468d709f181f95	rajpurkar/squad	rajpurkar	{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["en"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended\|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-...	false	False	2024-03-04T13:54:37	407	27	false	7b6d24c440a36b6815f21b70d25016731768db1f	Dataset Card for SQuAD Dataset Summary Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading pass...	212,171	7,629,309	16,286,997	[ "task_categories:question-answering", "task_ids:extractive-qa", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language_creators:found", "multilinguality:monolingual", "source_datasets:extended\|wikipedia", "language:en", "license:cc-by-sa-4.0", "size_categories:10K<n<100K"...	2022-03-02T23:29:22	squad	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	1,510	27	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. ...	943,769	14,086,914	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
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	706	27	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. ...	46,682	107,012	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
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	790	26	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...	70,061	1,108,622	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
639244f571c51c43091df168	Anthropic/hh-rlhf	Anthropic	{"license": "mit", "tags": ["human-feedback"]}	false	False	2023-05-26T18:47:34	1,871	25	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...	35,391	1,977,613	94,745,957	[ "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2204.05862", "region:us", "human-feedback" ]	2022-12-08T20:11:33	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	68	24	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...	1,402	1,402	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
621ffdd236468d709f181e77	stanfordnlp/imdb	stanfordnlp	{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"]...	false	False	2024-01-04T12:09:45	422	22	false	e6281661ce1c48d982bc483cf8a173c1bbeb5d31	Dataset Card for "imdb" Dataset Summary Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additi...	183,340	9,371,857	83,455,823	[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "source_datasets:original", "language:en", "license:other", "size_categories:100K<n<1M", "format:parquet", "mo...	2022-03-02T23:29:22	imdb-movie-reviews	null
640f5b2fb63b6f18522d6d44	tatsu-lab/alpaca	tatsu-lab	{"license": "cc-by-nc-4.0", "language": ["en"], "tags": ["instruction-finetuning"], "pretty_name": "Alpaca", "task_categories": ["text-generation"]}	false	False	2023-05-22T20:33:36	1,044	22	false	dce01c9b08f87459cf36a430d809084718273017	Dataset Card for Alpaca Dataset Summary Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. Th...	81,721	2,268,685	24,256,428	[ "task_categories:text-generation", "language:en", "license:cc-by-nc-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us", "instruction-finetuning" ]	2023-03-13T17:19:43	null	null
6a5c7151790a516fd701d8de	simple-world-lab/HiFi-UMI-2K	simple-world-lab	{"language": ["en"], "license": "cc-by-4.0", "pretty_name": "HiFi-UMI-2K", "task_categories": ["robotics"], "tags": ["robotics", "robot-learning", "robot-manipulation", "imitation-learning", "vision-language-action", "world-action-model", "multimodal", "video", "lerobot", "umi", "arxiv:2607.25895"], "configs": [{"confi...	false	False	2026-07-29T02:17:44	23	20	false	a53b7b5784afdd50b2fda9195c9f724ef75ffdaf	HiFi-UMI-2K: High-Fidelity Robot-Free Manipulation Data 2,000 hours released · 6 synchronized camera views · 480+ scenes · 3 mm pose accuracy · <40 µs synchronization 🌐 Project Website \| 📦 Dataset \| 📄 Paper: arXiv:2607.25895 Examples from the HiFi-UMI corpus. Click the i...	41,449	41,449	16,042,058,644,025	[ "task_categories:robotics", "language:en", "license:cc-by-4.0", "size_categories:100M<n<1B", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:polars", "library:mlcroissant", "library:lerobot", "arxiv:2607.25895", ...	2026-07-19T06:40:17	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	51	18	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...	3,585	3,585	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
64358e2179c45fcf1ada09f4	databricks/databricks-dolly-15k	databricks	{"license": "cc-by-sa-3.0", "task_categories": ["question-answering", "summarization"], "language": ["en"], "size_categories": ["10K<n<100K"]}	false	False	2023-06-30T18:34:13	1,034	17	false	bdd27f4d94b9c1f951818a7da7fd7aeea5dbff1a	Summary databricks-dolly-15k is an open source dataset of instruction-following records generated by thousands of Databricks employees in several of the behavioral categories outlined in the InstructGPT paper, including brainstorming, classification, closed QA, generation, information extraction, open ...	42,456	988,555	13,095,866	[ "task_categories:question-answering", "task_categories:summarization", "language:en", "license:cc-by-sa-3.0", "size_categories:10K<n<100K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2203.02155", "region:us" ]	2023-04-11T16:43:13	null	null
6a5fd0ffc4968f05433ea699	google/asimov_agentic	google	{"license": "cc-by-4.0"}	false	auto	2026-07-24T14:26:52	17	17	false	7eee8032daafc536f69449622a8a287bc267c97e	Asimov Agentic Safety Evaluation Evaluation harness for testing agentic AI systems on safety-critical robotics tasks. Dataset and code are hosted on Hugging Face: google/asimov_agentic. Quick Start 1. Install Git LFS and clone the repository The dataset files are stored wit...	77	77	2,398,740,228	[ "license:cc-by-4.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "region:us" ]	2026-07-21T20:05:19	null	null
6a61cc40e12c6dba85a874ca	moonshotai/PerceptionBench	moonshotai	{"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["visual-question-answering"], "tags": ["multimodal", "visual-perception", "mllm", "benchmark"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "PerceptionBench.jsonl"}]}]}	false	False	2026-08-01T09:15:01	41	17	false	6ba8c3135c7675ad6a5c141536a86b9460c70960	PerceptionBench PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models Abstract We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing...	3,754	3,754	1,629,854,904	[ "task_categories:visual-question-answering", "language:en", "license:cc-by-nc-4.0", "size_categories:1K<n<10K", "format:json", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:polars", "library:mlcroissant", "arxiv:2607.24957", "region:us", "multimodal", ...	2026-07-23T08:09:36	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	1,238	16	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 ...	367,043	8,222,363	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
68755747a96ef1ed8898c0b0	mito0o852/OHLCV-1m	mito0o852	{"dataset_info": {"features": [{"name": "timestamp", "dtype": "timestamp[ns, tz=UTC]"}, {"name": "open", "dtype": "float64"}, {"name": "high", "dtype": "float64"}, {"name": "low", "dtype": "float64"}, {"name": "close", "dtype": "float64"}, {"name": "volume", "dtype": "float64"}, {"name": "ticker", "dtype": "string"}], ...	false	False	2026-05-03T16:22:10	46	16	false	776328445b7ac6e7815ef3a483e9c8ded1eb6d56	📈 OHLCV-1m: US Stock Market Minute-Level Candlestick Data (1992–2026) This dataset provides minute-level OHLCV (Open, High, Low, Close, Volume) candlestick data for thousands of U.S. stocks across multiple decades (1992 to 2026). The data was originally sourced from Finnhub.io, a real-time market data p...	10,271	37,896	87,719,561,773	[ "region:us" ]	2025-07-14T19:15:19	null	null

End of preview. Expand in Data Studio

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

Downloads last month: 7,231

Changelog

Spaces using cfahlgren1/hub-stats 18