# Datasets, Page 58 of 132 Source: https://savrn.com/datasets/page/58 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 ### [unified-vlm-steering-liquid](https://savrn.com/datasets/unified-vlm-steering-liquid) [Alain Zeng](https://savrn.com/model-publishers/saintsauce) Steered text and image generations from Liquid (FoundationVision LiquidV17B), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha vhat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config. Gemma-7B backbone, 28 decoder layers (0-indexed). Images are VQGAN codes (512 px), CFG 7.0, top-k 4096, top-p 0.96, temperature 0.99. Every quadrant covers 7 concepts x 7 layer configs x 11 alphas x 20 prompts. Layer configs (0-indexed): L7 7, L14 14, L21 21, early 5-8, mid 12-15, late 19-22, all 0-27. - Quadrant names are 2: txt2txt and img2txt steer text generation, img2img and txt2img steer image… Publicly accessible [View dataset](https://savrn.com/datasets/unified-vlm-steering-liquid) Dataset ### [wan22-template-clips](https://savrn.com/datasets/wan22-template-clips) [Casey Sims](https://savrn.com/model-publishers/simzy) Short (≈3–5s) real person-motion driving videos for Wan Animate, used by Space Simzy/Wan-2.2-templates. See templates/catalog.json. Clip ids stay stable (demo-wave, demo-dance, demo-victory, demo-walk). - demo-victory: from Wan-Video/Wan-Animate-2 examples/demo1/template.mp4 (Apache-2.0). These are real human-motion MP4s (not ffmpeg text placeholders). Prefer 3–5s clips for ZeroGPU quota. Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/wan22-template-clips) Dataset ### [maxrl_dppo_qwen3_1p7B_maxrl_polaris1000_knk_rollouts](https://savrn.com/datasets/maxrl-dppo-qwen3-1p7b-maxrl-polaris1000-knk-rollouts) [Fahim Tajwar](https://savrn.com/model-publishers/ftajwar) Training rollouts of one verl run, one parquet per trainer step (data/step-.parquet), rows in the order the trainer consumed them; the rollout.n samples of a prompt are contiguous and share uid. prompttokenids / responsetokenids are the exact token ids (special tokens kept, no padding) and rolloutlogprobs the sampling-time log-prob of every response token. input / output are decoded with skipspecialtokens=True and are for reading only. score is the raw reward. Publicly accessible [View dataset](https://savrn.com/datasets/maxrl-dppo-qwen3-1p7b-maxrl-polaris1000-knk-rollouts) Dataset ### [c1b-judge-corpus-waveA](https://savrn.com/datasets/c1b-judge-corpus-wavea) [Sharma](https://savrn.com/model-publishers/arushhh) Publicly accessible [View dataset](https://savrn.com/datasets/c1b-judge-corpus-wavea) Dataset ### [Aiice-predictors](https://savrn.com/datasets/aiice-predictors) [ITMO NSS lab](https://savrn.com/model-publishers/itmo-nss) Publicly accessible [View dataset](https://savrn.com/datasets/aiice-predictors) Dataset ### [song-jury-leaderboard](https://savrn.com/datasets/song-jury-leaderboard) [CHEN MENG KENG](https://savrn.com/model-publishers/vava22684) Publicly accessible [View dataset](https://savrn.com/datasets/song-jury-leaderboard) Dataset ### [BioXArena-Data-Public](https://savrn.com/datasets/bioxarena-data-public) [Mbzuai Ai4bio](https://savrn.com/model-publishers/mbzuai-ai4bio) This is the public data package for BioXArena: 9 domains, 76 tasks. Each task folder contains public/description.md, public/samplesubmission.csv, the training and test inputs, and any modality-specific assets. We host the BioXArena benchmark on CodaBench. Welcome to evaluate your coding agents and climb the leaderboard. This release replaces all earlier versions of the data. Since the previous release, 55 of the 76 tasks were rebuilt or corrected to remove label leakage, shortcuts that let a model score well without solving the task, synthetic or misaligned labels, and input defects; several tasks were re-split (for example scaffold-, study- or site-level hold-out) and a few evaluation… Publicly accessible cc-by-nc-4.0 [View dataset](https://savrn.com/datasets/bioxarena-data-public) Dataset ### [ferry](https://savrn.com/datasets/ferry-2) [Ly Minh Ngan](https://savrn.com/model-publishers/nganly17503) Publicly accessible [View dataset](https://savrn.com/datasets/ferry-2) Dataset ### [opendata](https://savrn.com/datasets/opendata) [Xuyiyi123](https://savrn.com/model-publishers/xuyiyi123) Publicly accessible [View dataset](https://savrn.com/datasets/opendata) Dataset ### [zcache-results-complete](https://savrn.com/datasets/zcache-results-complete) [Hanming Zhang](https://savrn.com/model-publishers/bubblebird) Publicly accessible [View dataset](https://savrn.com/datasets/zcache-results-complete) Dataset ### [global-geo-poison-v1](https://savrn.com/datasets/global-geo-poison-v1) [Mama](https://savrn.com/model-publishers/storm1887) Publicly accessible [View dataset](https://savrn.com/datasets/global-geo-poison-v1) Dataset ### [imgbed](https://savrn.com/datasets/imgbed-6) [Jack Wenyoung](https://savrn.com/model-publishers/jackwenyoung) Publicly accessible [View dataset](https://savrn.com/datasets/imgbed-6) Dataset · Other ### [OPERATE](https://savrn.com/datasets/operate) [Huanxuan Liao](https://savrn.com/model-publishers/xnhyacinth) Benchmarking Persistent Operational Agency in Source-Grounded Executable Systems This is the current public dataset for OPERATE. Filenames are versionless; immutable Hugging Face commits identify each snapshot. The matching public code lives at Xnhyacinth/OPERATE. The current catalog contains 769 Full scenarios across 502 physical sources and 141 Lite scenarios across 82 sources. Qualification scoring is 0.15.0. Live evaluations use scoring 0.21.0 (waitrelativeoutcomev1). Live realtime uses nativedtv1; the default speed card is 37 Core rows whose native tick is at most 60s and whose plant wall is at most 30 minutes. logicalpersistent is the primary treatment. realtimepersistent is a… Publicly accessible other [View dataset](https://savrn.com/datasets/operate) Dataset ### [G1_WBT_Brainco_Empty_Folder_In_Cabinet](https://savrn.com/datasets/g1-wbt-brainco-empty-folder-in-cabinet) [Unitree Robotics](https://savrn.com/model-publishers/unitreerobotics) Publicly accessible [View dataset](https://savrn.com/datasets/g1-wbt-brainco-empty-folder-in-cabinet) Dataset ### [karaoke-tmp-audio-pub](https://savrn.com/datasets/karaoke-tmp-audio-pub) [Le](https://savrn.com/model-publishers/yamahaymh) Publicly accessible [View dataset](https://savrn.com/datasets/karaoke-tmp-audio-pub) Dataset ### [MedHEB-Bench](https://savrn.com/datasets/medheb-bench) [MEDHEB](https://savrn.com/model-publishers/medheb) This repository hosts the full MedHEB-Bench benchmark — a multimodal medical embedding / retrieval benchmark spanning 2D imaging, 3D imaging, and biomedical text. A small reviewer-facing sample (≈ 2.5 GB) is available separately at Test JSON (under 2DTask/, 3DTask/, TextTask/): Train JSONL (under TrainData/) — chat-style records with messages / images / positivemessages: Image paths in test JSONs resolve relative to the matching sub-folder under 2DImages/ / 3DImages/. Train JSONL paths are relative to the repository root. Image archives for the following datasets are not redistributed here because their upstream license / data-use agreements restrict re-hosting. A LICENSENOTICE.md… Publicly accessible other 100K