# Datasets, Page 83 of 132 Source: https://savrn.com/datasets/page/83 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 ### [callcc-silver-5k](https://savrn.com/datasets/callcc-silver-5k) [Erfan Roudaki](https://savrn.com/model-publishers/erfanrou) Persian call-centre ASR silver set: the ErfanRou/callcc-ft150-soniox schema plus two auxiliary columns. Machine-labelled, not ground truth. Built by callcc-silver-5k/sonioxpipeline.py from markmuller/call-center-prod-data: 8 kHz stereo telephony split client-side into agent = channel 0 and customer = channel 1, each channel transcribed separately by Soniox stt-async-v5, words packed into 5-28 s windows (~15 s mean, natural pauses kept, short backchannels kept and padded with their own line silence), cut in silence and stored as 16 kHz mono FLAC. text — training target: Soniox words of the window, normalised (digits→words, Persian ی/ک, no punctuation, ZWNJ kept). textraw — the same words as… Access requested at publisher [View dataset](https://savrn.com/datasets/callcc-silver-5k) Dataset ### [ep27](https://savrn.com/datasets/ep27) [Zydu](https://savrn.com/model-publishers/zydu) Publicly accessible [View dataset](https://savrn.com/datasets/ep27) Dataset ### [150-3oa-15.2-3id-10.9](https://savrn.com/datasets/150-3oa-15-2-3id-10-9) [Shufan Jiang](https://savrn.com/model-publishers/tsumugii) Publicly accessible [View dataset](https://savrn.com/datasets/150-3oa-15-2-3id-10-9) Dataset ### [150-3oa-2.6-3id-4.4](https://savrn.com/datasets/150-3oa-2-6-3id-4-4) [Shufan Jiang](https://savrn.com/model-publishers/tsumugii) Publicly accessible [View dataset](https://savrn.com/datasets/150-3oa-2-6-3id-4-4) Dataset ### [Aura.Xlsl](https://savrn.com/datasets/aura-xlsl) [Seriki Walter yakub](https://savrn.com/model-publishers/seriki) Aura File Ecosystem — v0.1 Interactive drag-and-drop quantum circuit simulator with GPU-accelerated backend. - Drag-and-drop quantum gates (H, X, Y, Z, CNOT, TOFFOLI) - Fractional/negative amplitude support (Aura math integration) auraproject/ ├── data/ │ └── Aura.xlsx # your data hub ├── src/ │ ├── init.py │ ├── aipipeline.py # ML: regression/classification │ ├── quantumpipeline.py # Qiskit quantum circuits │ ├── lifespananalysis.py # survival curves, hazard ratios │ └── utils.py # helpers to load Excel ├── notebooks/ │ └── exploration.ipynb # experiments ├── requirements.txt └── main.py # orchestrator script… Access requested at publisher [View dataset](https://savrn.com/datasets/aura-xlsl) Dataset ### [engineering-software-ui](https://savrn.com/datasets/engineering-software-ui) [Jeeva](https://savrn.com/model-publishers/jeeva0810) Screenshots (frames) of real engineering software UIs, extracted from tutorial videos, for training a vision encoder that recognizes software interfaces across engineering domains. 4 software tools (of a 1386-tool master list), 420 UI frames (~0.1 GB so far), covering 4 engineering domains. - meta.json — software name, domain, category, vendor, source video id, resolution, frame counts - videoinfo.json — yt-dlp extraction info (video id, channel, duration, candidates) - frames/frame.jpg — JPEG q90 screenshots of the software UI - frames/frames.jsonl — per-frame quality stats (brightness, sharpness, edge density, timestamp) CAD/EDA/Mechanical, Data Science/ML/Analytics, Design/Graphics/3D… Publicly accessible [View dataset](https://savrn.com/datasets/engineering-software-ui) Dataset ### [DreamDojo_RL](https://savrn.com/datasets/dreamdojo-rl) [HONG SHIBO](https://savrn.com/model-publishers/spuh) Access requested at publisher [View dataset](https://savrn.com/datasets/dreamdojo-rl) Dataset ### [OtherTasksArena](https://savrn.com/datasets/othertasksarena) [Uptenher](https://savrn.com/model-publishers/hunyuaniwen) Publicly accessible mit [View dataset](https://savrn.com/datasets/othertasksarena) Dataset ### [grclone](https://savrn.com/datasets/grclone) [Yang](https://savrn.com/model-publishers/yang-zai) Access requested at publisher [View dataset](https://savrn.com/datasets/grclone) Dataset ### [ipfs_slovakia_municipal_laws](https://savrn.com/datasets/ipfs-slovakia-municipal-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) First pass of the largest Slovak cities. Target: endomorphosis/ipfsslovakiamunicipallaws (new). IDs: sk-mun- - (obec code = ŠÚ SR municipality code from Wikidata P782/LAU, e.g. Bratislava 582000); article ids -art-. native-id = vzn- - from the official act number (Trnava, Košice: vzn-, these cities number acts continuously). The number is the act's own: Petržalka '10/20145' (register typo) → vzn-10-2015; Ružomberok register numbers 2/3/4-2022 differ from the numbers printed in the files, so the act's own number is used (extras.registernumber keeps the register's): file 03/2022 (pyrotechnics) → vzn-3-2022, 04/2022 → vzn-4-2022, 02/2022 → vzn-2-2022. A short text hash is appended only when… Publicly accessible other [View dataset](https://savrn.com/datasets/ipfs-slovakia-municipal-laws) Dataset ### [long-beach-ordinances](https://savrn.com/datasets/long-beach-ordinances) [Chris Soria](https://savrn.com/model-publishers/chrissoria) Publicly accessible [View dataset](https://savrn.com/datasets/long-beach-ordinances) Dataset ### [maude-explorer-data](https://savrn.com/datasets/maude-explorer-data) [Niaz C](https://savrn.com/model-publishers/niazch) Data tables for the MAUDE Signal Explorer, a browser-based research tool for the U.S. FDA MAUDE medical device adverse event reports. Built by Niaz Chalabianloo, Muanda Lab, Department of Physiology and Pharmacology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada. The page reads site/manifest.json, which lists every table and file. Open a fixed version with the address https://huggingface.co/datasets/Niazch/maude-explorer-data/resolve/data-2026-09-30-v0.6/. Source: U.S. Food and Drug Administration, MAUDE download files (public data), cleaned, deduplicated and compressed by the MAUDE Signal Explorer pipeline. This dataset is not affiliated with or… Publicly accessible other 10M