# Datasets, Page 62 of 132 Source: https://savrn.com/datasets/page/62 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 ### [decklm-corvus-checkpoints-public](https://savrn.com/datasets/decklm-corvus-checkpoints-public) [Frosty](https://savrn.com/model-publishers/frost45445) Publicly accessible [View dataset](https://savrn.com/datasets/decklm-corvus-checkpoints-public) Dataset · Text generation ### [brain-memory](https://savrn.com/datasets/brain-memory) [Himanshu nagar](https://savrn.com/model-publishers/nagarhimanshu37) This public dataset repository serves as the persistent cloud memory for the Master Brain Autonomous Orchestrator. • Repository: nagarhimanshu37/brain-memory • Total Stored Memories: 1 • Last Synchronized: 2026-09-27 09:11:34 UTC Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/brain-memory) Dataset · Feature extraction ### [ontology](https://savrn.com/datasets/ontology) [NuBerea](https://savrn.com/model-publishers/nuberea) The estate's prod-config knowledge graph plus its canonical textual-address layer: a knowledge graph over the estate's own datasets/tools/routes, a deterministic verse/token/pericope address resolver, and a set of query-time registries. Part of the NuBerea curated corpus estate of biblical and historical texts. The full specification (per-config documentation, schemas, methodology, and upstream provenance) is available in the gated SPEC accompanying this dataset. Estate-authored KG projection, address layer, and registry structure: CC BY 4.0. This repo ships ids, ordinals, hashes, and short (1-6 word) pericope/chapter/book section titles — no verbatim source text. Upstream editions that… Access requested at publisher cc-by-4.0 1M tdprmresults/) holds every metric, trace, evaluation, state, queue and service log of the run; no model weights, environments or dataset text. Updated 2026-10-17 20:46:22 · refreshes automatically Training queue (finished): training runs (97) done 97; other jobs (data, states, base evals) done 44 Step-credit evaluation queue (finished): 10 jobs, done 10 (see Step-credit evaluation) Greedy accuracy, v1 and v2 methods in separate tables. Δ: v1 methods vs grpo, v2 methods vs grpov2 (same cell), GRPO rows vs the base model. pass@8 on the in-domain set; mean@8 / pass@8 for every… Publicly accessible [View dataset](https://savrn.com/datasets/tdprm-results) Dataset ### [websitebench-harbor-trajectories](https://savrn.com/datasets/websitebench-harbor-trajectories) [Xyz Harbor](https://savrn.com/model-publishers/xyz-harbor) WebsiteBench Harbor trajectories The historical section contains one final valid GLM 5.3 Flash result per task. Every directory follows task-job/glm-5.3-flash/run1/ and contains the Harbor job archive, the matching original English cc-analysis.md, its metadata, and backup provenance. Archives expand under exactly the same directory structure. run1 is the user-requested publication number, not a claim that a recovered trajectory was originally generated as a fresh first attempt. Publicly accessible [View dataset](https://savrn.com/datasets/websitebench-harbor-trajectories) Dataset ### [alien-data](https://savrn.com/datasets/alien-data) [Artem Zabolotnyi](https://savrn.com/model-publishers/zaaabik) ALIEN — data and results Data, model adapters and experiment outputs for ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs (submitted results + revision experiments). Code: the ALIEN repository, revision/ folder. Layout folder content results/ Published runs used for the paper tables: resultsonembeddings/grid (ALIEN, its variants and ablations; bestrun.pickle = test scores + metricdf with the selected hyper-parameters) Publicly accessible mit [View dataset](https://savrn.com/datasets/alien-data) Dataset ### [quran_audio](https://savrn.com/datasets/quran-audio) [Md Sadakat Hussain Fahad](https://savrn.com/model-publishers/faddy001) Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/quran-audio) Dataset ### [willow](https://savrn.com/datasets/willow-2) [Hoang Gia Trang](https://savrn.com/model-publishers/tranghoang37624) Publicly accessible [View dataset](https://savrn.com/datasets/willow-2) Dataset ### [sharpa-artifacts](https://savrn.com/datasets/sharpa-artifacts) [Shengtao Yao](https://savrn.com/model-publishers/flappyhimself) Public, versioned machine artifacts for the Sharpa functional-reorientation pipeline. Source code and download validators live in The repository now includes eight Sharpa Stage3 AutoDR residual-teacher checkpoint candidates for generating physics-executed recovery trajectories. Give an Astra agent the following guide as its execution handoff: This release contains the teachers and collection contract. It does not claim that the proposed augmented rollout dataset has already been collected. Artifacts are organized by object and immutable release: - Eight per-phone Stage3 residual-teacher checkpoint candidates: phone02, phone03, phone05, phone07, phone10, phone14, phone17, and phone18. - Each… Publicly accessible [View dataset](https://savrn.com/datasets/sharpa-artifacts) Dataset · Object detection ### [fire_and_smoke_detection_very_hard_negative](https://savrn.com/datasets/fire-and-smoke-detection-very-hard-negative) [Fire Viewer](https://savrn.com/model-publishers/fireviewer) A versioned negative-image resource for fire/smoke detector training and false-positive analysis. The current publication contains 12,653 native source-labelled negatives and 195 retained JPEG candidates, in two separate configurations. The repository name does not establish that every image is a very hard negative. The native subset has no individual visual review or difficulty rating. Existing source classification annotations were the admission basis and were not changed into fresh manual annotations. These identifiers are the source namespaces recorded in the retained provenance, not newly inferred labels or authorizations. See source records and the For the separate JPEG collection… Publicly accessible other 10K=121-frame qualified selection. The older description above documents the original release. See UltraVideo/README.md for the metadata-first… Access requested at publisher [View dataset](https://savrn.com/datasets/videovae-datasets) Dataset ### [model-catalog](https://savrn.com/datasets/model-catalog) [HF Azure Internal](https://savrn.com/model-publishers/hf-azure-internal) Publicly accessible [View dataset](https://savrn.com/datasets/model-catalog) Dataset ### [tu](https://savrn.com/datasets/tu) [Ld](https://savrn.com/model-publishers/huazhanzz) Publicly accessible [View dataset](https://savrn.com/datasets/tu) Dataset · Robotics ### [ego-stereo-cn-v1](https://savrn.com/datasets/ego-stereo-cn-v1) [Tate Zhou](https://savrn.com/model-publishers/tatezhou) Two human egocentric stereo episodes recorded on real job sites in Hangzhou, China, released as a public, verifiable sample of a production egocentric data-collection pipeline. This is a sample, not a benchmark. It exists so that anyone evaluating egocentric data vendors can inspect real output — actual frame timing, actual synchronisation, actual annotation depth — instead of reading a capability deck. Independently validated. The dataset passes The same two episodes previously passed an external buyer's incoming data QC (August 2026). Total: 4,914 frames / 163.47 s, two synchronised streams per episode. Two numbers worth pausing on, because they are where most egocentric data fails: - p99… Publicly accessible cc-by-nc-4.0 n<1K [View dataset](https://savrn.com/datasets/ego-stereo-cn-v1) ## Model Collections Hand-picked starting points, each with the reason it exists. Collection · 4 entries ### [Embedding models for retrieval](https://savrn.com/collections/embedding-models-for-retrieval) Sentence and document embedding models used to build retrieval systems. Dimension and sequence length matter more than size here, and both come from the publisher. [View collection](https://savrn.com/collections/embedding-models-for-retrieval) Collection · 4 entries ### [Models that fit on one accelerator](https://savrn.com/collections/models-that-run-on-one-accelerator) Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer. [View collection](https://savrn.com/collections/models-that-run-on-one-accelerator) Collection · 6 entries ### [Open-weight text models worth knowing](https://savrn.com/collections/open-weight-text-models-worth-knowing) Widely used open-weight language models, chosen because each one is a distinct family rather than a variant of the one above it. Selection, not a ranking. [View collection](https://savrn.com/collections/open-weight-text-models-worth-knowing) Collection · 3 entries ### [Speech and audio models](https://savrn.com/collections/speech-and-audio) Recognition and synthesis models, grouped so the two directions are easy to compare. [View collection](https://savrn.com/collections/speech-and-audio) ## Related SAVRN Research The hub sits beside SAVRN's market data and infrastructure research: what models cost to run, and what it takes to run them. SAVRN Index ### [What open models cost to run](https://savrn.com/ai-index/pricing/open-models) The same open-weight model priced by every host that serves it, per million tokens. Research Hub ### [Data center trackers and maps](https://savrn.com/data-center-research) Moratoriums, permits, power, water and capital behind the facilities that run these models. Method ### [How the Model Hub is built](https://savrn.com/model-hub/methodology) Sources, evidence labels, refresh behaviour, and the limits of every comparison here.