# Datasets, Page 50 of 132 Source: https://savrn.com/datasets/page/50 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub # AI Training Datasets Each dataset with its card, its structure (every split, row count and column type), its files, its license, and the models that disclose training on it. 11,122Models 3,164Datasets 285Papers 6,792Publishers 11,852Sourced relationships Updated 2026-10-18 · [How the library is built](https://savrn.com/model-hub/methodology) ## Filter Datasets Task - [Text generation127](https://savrn.com/datasets?task=Text+generation) - [Robotics106](https://savrn.com/datasets?task=Robotics) - [Other48](https://savrn.com/datasets?task=Other) - [Text classification47](https://savrn.com/datasets?task=Text+classification) - [Text retrieval44](https://savrn.com/datasets?task=Text+retrieval) - [Question answering36](https://savrn.com/datasets?task=Question+answering) - [Speech recognition33](https://savrn.com/datasets?task=Speech+recognition) - [Tabular classification21](https://savrn.com/datasets?task=Tabular+classification) - [Time series forecasting21](https://savrn.com/datasets?task=Time+series+forecasting) - [Image to text17](https://savrn.com/datasets?task=Image+to+text) - [Image classification16](https://savrn.com/datasets?task=Image+classification) - [Object detection14](https://savrn.com/datasets?task=Object+detection) - [Text to speech14](https://savrn.com/datasets?task=Text+to+speech) - [Visual question answering14](https://savrn.com/datasets?task=Visual+question+answering) - [Image to image11](https://savrn.com/datasets?task=Image+to+image) - [Image segmentation9](https://savrn.com/datasets?task=Image+segmentation) - [Image to 3d9](https://savrn.com/datasets?task=Image+to+3d) - [Translation9](https://savrn.com/datasets?task=Translation) - [Video classification9](https://savrn.com/datasets?task=Video+classification) - [Audio classification7](https://savrn.com/datasets?task=Audio+classification) - [Feature extraction7](https://savrn.com/datasets?task=Feature+extraction) - [Reinforcement learning7](https://savrn.com/datasets?task=Reinforcement+learning) - [Text to image7](https://savrn.com/datasets?task=Text+to+image) - [Text to video7](https://savrn.com/datasets?task=Text+to+video) License - [other250](https://savrn.com/datasets?license=other) - [apache-2.0236](https://savrn.com/datasets?license=apache-2.0) - [mit232](https://savrn.com/datasets?license=mit) - [cc-by-4.0224](https://savrn.com/datasets?license=cc-by-4.0) - [cc-by-nc-4.077](https://savrn.com/datasets?license=cc-by-nc-4.0) - [cc0-1.030](https://savrn.com/datasets?license=cc0-1.0) - [cc-by-sa-4.029](https://savrn.com/datasets?license=cc-by-sa-4.0) - [odc-by24](https://savrn.com/datasets?license=odc-by) - [cc-by-nc-sa-4.020](https://savrn.com/datasets?license=cc-by-nc-sa-4.0) - [unknown14](https://savrn.com/datasets?license=unknown) - [cc-by-sa-3.06](https://savrn.com/datasets?license=cc-by-sa-3.0) - [odbl6](https://savrn.com/datasets?license=odbl) - [gpl-3.05](https://savrn.com/datasets?license=gpl-3.0) - [cc-by-3.04](https://savrn.com/datasets?license=cc-by-3.0) - [cc3](https://savrn.com/datasets?license=cc) - [cc-by-nc-nd-4.03](https://savrn.com/datasets?license=cc-by-nc-nd-4.0) - [gpl3](https://savrn.com/datasets?license=gpl) - [cc-by-2.02](https://savrn.com/datasets?license=cc-by-2.0) - [cc-by-nd-4.02](https://savrn.com/datasets?license=cc-by-nd-4.0) - [cdla-sharing-1.02](https://savrn.com/datasets?license=cdla-sharing-1.0) - [agpl-3.01](https://savrn.com/datasets?license=agpl-3.0) - [bsl-1.01](https://savrn.com/datasets?license=bsl-1.0) - [c-uda1](https://savrn.com/datasets?license=c-uda) - [cc-by-nc-3.01](https://savrn.com/datasets?license=cc-by-nc-3.0) Access - [Publicly accessible2,933](https://savrn.com/datasets?access=open_access) - [Access requested at publisher231](https://savrn.com/datasets?access=gated) Publisher - [Benjamin J Barber35](https://savrn.com/datasets?publisher=endomorphosis) - [Chang Yu24](https://savrn.com/datasets?publisher=g1n0st) - [Ji Xie23](https://savrn.com/datasets?publisher=sanaka87) - [Justicedao18](https://savrn.com/datasets?publisher=justicedao) - [LeDuy13](https://savrn.com/datasets?publisher=duyle2408) - [Nguyen13](https://savrn.com/datasets?publisher=icdn11) - [Nguyen13](https://savrn.com/datasets?publisher=icdn12) - [Nguyen13](https://savrn.com/datasets?publisher=icdn13) - [National Engineering Research Center for Big Data Software13](https://savrn.com/datasets?publisher=thulab) - [Nguyen12](https://savrn.com/datasets?publisher=icdn10) - [Nguyen12](https://savrn.com/datasets?publisher=icdn14) - [Byte I12](https://savrn.com/datasets?publisher=icdn15) - [Rebrowser.net12](https://savrn.com/datasets?publisher=rebrowser) - [Shufan Jiang12](https://savrn.com/datasets?publisher=tsumugii) - [Ai210](https://savrn.com/datasets?publisher=allenai) - [Ps Yo10](https://savrn.com/datasets?publisher=atokforps) - [Dougall DeepMind10](https://savrn.com/datasets?publisher=dougalldeepmind) - [Deesced9](https://savrn.com/datasets?publisher=ameluce) - [Jiahao Zhang9](https://savrn.com/datasets?publisher=hi-todayis-jh) - [Julia Dollis9](https://savrn.com/datasets?publisher=juliadollis) - [Massive Text Embedding Benchmark9](https://savrn.com/datasets?publisher=mteb) - [Pranab Pattanaik9](https://savrn.com/datasets?publisher=p2samapa) - [Sota9](https://savrn.com/datasets?publisher=sotaagi2030) - [Sunsetcanyon9](https://savrn.com/datasets?publisher=sunsetcanyon) Size - [10K1T16](https://savrn.com/datasets?size=n%3E1T) - [1B1M1](https://savrn.com/datasets?size=n%3E1M) Domain - [LeRobot31](https://savrn.com/datasets?domain=LeRobot) - [legal, law, graphrag12](https://savrn.com/datasets?domain=legal%2C+law%2C+graphrag) - [tsfile, timeseries, time-series12](https://savrn.com/datasets?domain=tsfile%2C+timeseries%2C+time-series) - [open-data, data-science, web-scraping9](https://savrn.com/datasets?domain=open-data%2C+data-science%2C+web-scraping) - [seo-cluster, web-nodes9](https://savrn.com/datasets?domain=seo-cluster%2C+web-nodes) - [dpo, rlhf, ultrafeedback8](https://savrn.com/datasets?domain=dpo%2C+rlhf%2C+ultrafeedback) - [mteb, text, image7](https://savrn.com/datasets?domain=mteb%2C+text%2C+image) - [nepali, instruction-tuning, agriculture7](https://savrn.com/datasets?domain=nepali%2C+instruction-tuning%2C+agriculture) - [science, stackexchange, provenance5](https://savrn.com/datasets?domain=science%2C+stackexchange%2C+provenance) - [LeRobot, robotics, lerobot4](https://savrn.com/datasets?domain=LeRobot%2C+robotics%2C+lerobot) - [ml-intern4](https://savrn.com/datasets?domain=ml-intern) - [AMASS, Retarget, Robotics3](https://savrn.com/datasets?domain=AMASS%2C+Retarget%2C+Robotics) - [benchmark, agents, terminal3](https://savrn.com/datasets?domain=benchmark%2C+agents%2C+terminal) - [climate3](https://savrn.com/datasets?domain=climate) - [code3](https://savrn.com/datasets?domain=code) - [crypto, cryptocurrency, finance3](https://savrn.com/datasets?domain=crypto%2C+cryptocurrency%2C+finance) - [data-attribution, influence-functions, interpretability3](https://savrn.com/datasets?domain=data-attribution%2C+influence-functions%2C+interpretability) - [fireviewer, fire, smoke3](https://savrn.com/datasets?domain=fireviewer%2C+fire%2C+smoke) - [video3](https://savrn.com/datasets?domain=video) - [LeRobot, lerobot, grabette2](https://savrn.com/datasets?domain=LeRobot%2C+lerobot%2C+grabette) - [LeRobot, ur7e, robotiq2](https://savrn.com/datasets?domain=LeRobot%2C+ur7e%2C+robotiq) - [agentenv, rl-environment, agents2](https://savrn.com/datasets?domain=agentenv%2C+rl-environment%2C+agents) - [ai-governance, measurement2](https://savrn.com/datasets?domain=ai-governance%2C+measurement) - [autonomous, agents, evolution2](https://savrn.com/datasets?domain=autonomous%2C+agents%2C+evolution) [Most downloaded](https://savrn.com/datasets?sort=downloads)[Most liked](https://savrn.com/datasets?sort=likes)[Recently updated](https://savrn.com/datasets?sort=updated)[Name](https://savrn.com/datasets?sort=name) 3,164 datasets, sorted by most downloaded. Dataset ### [T2AV_TemporalConstraint](https://savrn.com/datasets/t2av-temporalconstraint) [Deepti Ghadiyaram](https://savrn.com/model-publishers/dghadiya) Publicly accessible [View dataset](https://savrn.com/datasets/t2av-temporalconstraint) Dataset ### [aurora](https://savrn.com/datasets/aurora) [Huynh Thi Phuong](https://savrn.com/model-publishers/phuonghuynh62245) Publicly accessible [View dataset](https://savrn.com/datasets/aurora) Dataset ### [pulsefeed-x402-security](https://savrn.com/datasets/pulsefeed-x402-security) [Life](https://savrn.com/model-publishers/nikolife) Independent, daily-updated trust & safety data for the x402 agent-payment economy (HTTP 402 + stablecoins on Base) and the MCP server ecosystem — by PulseFeed. AI agents increasingly pay for APIs autonomously over x402 and connect to MCP servers that can run code on install. But 20% of listed x402 endpoints are dead or invalid, and "live" is not the same claim as "payable": of 24131 endpoints that return a valid 402, only 22426 across 1904 operators are things an agent can actually buy — the rest are documentation placeholders, testnet sandboxes priced in dollars, or payment schemes outside the x402 spec. Both figures are in ecosystem.json as healthyEndpoints and payableEndpoints; compare… Publicly accessible cc-by-4.0 n<1K [View dataset](https://savrn.com/datasets/pulsefeed-x402-security) Dataset ### [s1mb-result](https://savrn.com/datasets/s1mb-result) [Yuichi Tateno](https://savrn.com/model-publishers/hotchpotch) Model evaluation results for System One Mosaic Benchmark (S1MB), combining specialized Choice, Noul, and Score tasks. Each / folder represents one leaderboard entry and contains metadata.json plus per-benchmark.json.xz files. Results retain their evaluation settings and model, dataset, and evaluator provenance. To add or update results, follow the for evaluation, export, validation, and opening a pull request to this dataset. See the S1MB project for code and documentation. Publicly accessible [View dataset](https://savrn.com/datasets/s1mb-result) Dataset ### [public](https://savrn.com/datasets/public) [Riiiam](https://savrn.com/model-publishers/riiiam) Publicly accessible [View dataset](https://savrn.com/datasets/public) Dataset ### [baobab](https://savrn.com/datasets/baobab) [Nicholas Joseph Ortiz](https://savrn.com/model-publishers/ortiznicholas5637) Publicly accessible [View dataset](https://savrn.com/datasets/baobab) Dataset ### [008](https://savrn.com/datasets/008) [Silvia Araújo Farias](https://savrn.com/model-publishers/bket008) Publicly accessible [View dataset](https://savrn.com/datasets/008) Dataset ### [faers_bronze_indi](https://savrn.com/datasets/faers-bronze-indi) [João Tiago Viegas](https://savrn.com/model-publishers/jtviegas) Publicly accessible [View dataset](https://savrn.com/datasets/faers-bronze-indi) Dataset ### [zihiao_real_test](https://savrn.com/datasets/zihiao-real-test) [Qqyang](https://savrn.com/model-publishers/qqyang) Publicly accessible [View dataset](https://savrn.com/datasets/zihiao-real-test) Dataset ### [mavuno-v3-tokenized](https://savrn.com/datasets/mavuno-v3-tokenized) [Abiodun Adewole](https://savrn.com/model-publishers/dynamoabey) Publicly accessible [View dataset](https://savrn.com/datasets/mavuno-v3-tokenized) Dataset ### [cvl](https://savrn.com/datasets/cvl) [ZZ Si](https://savrn.com/model-publishers/zzsi) Publicly accessible [View dataset](https://savrn.com/datasets/cvl) Dataset ### [eeg-mi-datasets](https://savrn.com/datasets/eeg-mi-datasets) [Bhargav Kowshik](https://savrn.com/model-publishers/bkowshik) Unmodified copies of public EEG motor imagery datasets in the MOABB cache layout. Files extracted from an upstream archive keep their bytes; Weibo2014's also take the names MOABB gives them. Zhou2016's saved Zenodo record is the one generated file; see its section. Every dataset loads the same way with MOABB 1.7: 1. Download the files you need with snapshotdownload, narrowed by allowpatterns. 2. Point MOABB at them through its MNEDATASETS PATH environment variable. 3. Call moabb.setdownloadprovider("upstream") so MOABB uses the local files instead of contacting NEMAR. Each example below loads subject 1. The pattern for all of a dataset's subjects is given in its text. Each subject's two… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/eeg-mi-datasets) Dataset ### [orbit](https://savrn.com/datasets/orbit) [Benjamin William Peterson](https://savrn.com/model-publishers/petersonbenjamin3644) Publicly accessible [View dataset](https://savrn.com/datasets/orbit) Dataset ### [14](https://savrn.com/datasets/14) [Esther Oliveira](https://savrn.com/model-publishers/data014) Publicly accessible [View dataset](https://savrn.com/datasets/14) Dataset · Text generation ### [afrinews](https://savrn.com/datasets/afrinews) [AfriSpeech](https://savrn.com/model-publishers/afrispeech) AfriNews is a comprehensive dataset of news articles collected from over 230 prominent news websites across 47 African countries. - Default (default): Contains all articles across all countries and languages. - Country + Language Subsets ( ): Articles from a specific country in a specific language (e.g. CameroonCMfr, CameroonCMen, MoroccoMAar, GhanaGHen). Curated under the AfriSpeech initiative. For research access and feedback, contact: https://huggingface.co/AfriSpeech Publicly accessible cc-by-nc-4.0 1M