# Datasets, Page 44 of 132
Source: https://savrn.com/datasets/page/44
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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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

- [10K<n<100K125](https://savrn.com/datasets?size=10K%3Cn%3C100K)
- [1K<n<10K106](https://savrn.com/datasets?size=1K%3Cn%3C10K)
- [n<1K100](https://savrn.com/datasets?size=n%3C1K)
- [100K<n<1M70](https://savrn.com/datasets?size=100K%3Cn%3C1M)
- [1M<n<10M51](https://savrn.com/datasets?size=1M%3Cn%3C10M)
- [10M<n<100M33](https://savrn.com/datasets?size=10M%3Cn%3C100M)
- [100M<n<1B21](https://savrn.com/datasets?size=100M%3Cn%3C1B)
- [n>1T16](https://savrn.com/datasets?size=n%3E1T)
- [1B<n<10B8](https://savrn.com/datasets?size=1B%3Cn%3C10B)
- [100B<n<1T5](https://savrn.com/datasets?size=100B%3Cn%3C1T)
- [10B<n<100B2](https://savrn.com/datasets?size=10B%3Cn%3C100B)
- [10GB<n<100GB1](https://savrn.com/datasets?size=10GB%3Cn%3C100GB)
- [120,8981](https://savrn.com/datasets?size=120%2C898)
- [1B-tokens1](https://savrn.com/datasets?size=1B-tokens)
- [1T<n<10T1](https://savrn.com/datasets?size=1T%3Cn%3C10T)
- [n1K<n10K1](https://savrn.com/datasets?size=n1K%3Cn10K)
- [n<100K1](https://savrn.com/datasets?size=n%3C100K)
- [n<10K1](https://savrn.com/datasets?size=n%3C10K)
- [n<1GB1](https://savrn.com/datasets?size=n%3C1GB)
- [n>1M1](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

### [sn38-sub-gain-23](https://savrn.com/datasets/sn38-sub-gain-23)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-23)

Dataset

### [sn38-sub-gain-24](https://savrn.com/datasets/sn38-sub-gain-24)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-24)

Dataset

### [sn38-sub-gain-25](https://savrn.com/datasets/sn38-sub-gain-25)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-25)

Dataset

### [sn38-sub-gain-20](https://savrn.com/datasets/sn38-sub-gain-20)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-20)

Dataset · Speech recognition

### [DNU-ViSpeech](https://savrn.com/datasets/dnu-vispeech)

[Trang Lê](https://savrn.com/model-publishers/trangle2108)

DNU-ViSpeech is a Vietnamese scripted/read-speech corpus for automatic speech recognition (ASR). This release contains 31,070 utterances from 26 anonymized speakers, totaling 75.570 hours. Audio is WAV, 16 kHz, mono, uncompressed PCM 16-bit. The primary protocol is DNU-ASR-v1.1. Its evaluation split combines unseen-speaker and recording-configuration shift; those two factors cannot be isolated with the current data. The corpus supports research on Vietnamese ASR adaptation, especially whether compact models can approach larger zero-shot systems after domain fine-tuning on read speech. The repository follows the Hugging Face AudioFolder layout. Each split has its own metadata.csv, and…

Publicly accessible cc-by-nc-4.0 10K<n<100K

[View dataset](https://savrn.com/datasets/dnu-vispeech)

Dataset

### [sn38-sub-gain-21](https://savrn.com/datasets/sn38-sub-gain-21)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-21)

Dataset

### [sn38-sub-gain-26](https://savrn.com/datasets/sn38-sub-gain-26)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-26)

Dataset

### [wm-comp-internal-xl](https://savrn.com/datasets/wm-comp-internal-xl)

[Nicklas Hansen](https://savrn.com/model-publishers/nicklashansen)

Publicly accessible

[View dataset](https://savrn.com/datasets/wm-comp-internal-xl)

Dataset

### [sn38-sub-gain-18](https://savrn.com/datasets/sn38-sub-gain-18)

[Sunsetcanyon](https://savrn.com/model-publishers/sunsetcanyon)

Publicly accessible

[View dataset](https://savrn.com/datasets/sn38-sub-gain-18)

Dataset

### [Checks](https://savrn.com/datasets/checks)

[Soheil Khalesi](https://savrn.com/model-publishers/skh82)

Access requested at publisher

[View dataset](https://savrn.com/datasets/checks)

Dataset

### [arxivmedia-data](https://savrn.com/datasets/arxivmedia-data)

[Jay Desai](https://savrn.com/model-publishers/djaym7)

Publicly accessible

[View dataset](https://savrn.com/datasets/arxivmedia-data)

Dataset

### [testDataset](https://savrn.com/datasets/testdataset)

[Zhuoming Liu](https://savrn.com/model-publishers/zhuomingliu)

Publicly accessible

[View dataset](https://savrn.com/datasets/testdataset)

Dataset

### [rocketleague-analysis](https://savrn.com/datasets/rocketleague-analysis)

[Edmund Miller](https://savrn.com/model-publishers/edmundmiller)

Local Rocket League replay analysis using Ballchasing API exports and plain DuckDB. The report is meant to answer one practical question: what should I work on next from my saved replay sample? Start with CONTRIBUTING.md before changing the pipeline. Replay files and player-level exports can contain private identifiers; follow docs/data-and-privacy.md before sharing data or running an upload workflow. - db/replayanalysis.duckdb: local DuckDB database - reports/replayteamanalysis.html: static report The DuckDB file and aggregate or benchmark playerframes.tsv tables are reproducible local artifacts and are intentionally ignored by Git. Approved session-local frame tables may be versioned as…

Publicly accessible

[View dataset](https://savrn.com/datasets/rocketleague-analysis)

Dataset

### [Linny-Training-Dataset-Synthetic](https://savrn.com/datasets/linny-training-dataset-synthetic)

[Kachadoorian](https://savrn.com/model-publishers/lucien-shark)

Publicly accessible unknown

[View dataset](https://savrn.com/datasets/linny-training-dataset-synthetic)

Dataset

### [consistent-pet](https://savrn.com/datasets/consistent-pet)

[Benjamin Boyce](https://savrn.com/model-publishers/bensblueprints)

This project uses a 96 GB Blackwell GPU and image-editing models to preserve a pet's identity across portrait references. This release packages the existing Higgsfield template library; it does not enable bulk generation on the live store. 725 distinct reference concepts, all full-resolution PNGs at1792×2240, plus100 separately labeled vintage poster versions. Every master was decoded and SHA-256 matched against its source manifest. There are725 optimized browsing thumbnails. No customer originals, customer portraits, credentials, provider account URLs or private storage keys are included. - Open index.html locally for searchable previews and sex/category/collection filters. - catalog.json…

Publicly accessible

[View dataset](https://savrn.com/datasets/consistent-pet)

Dataset

### [hovercraft](https://savrn.com/datasets/hovercraft)

[Vo Duc Thao](https://savrn.com/model-publishers/thaovo19615)

Publicly accessible

[View dataset](https://savrn.com/datasets/hovercraft)

Dataset

### [prop-firm-discount-codes](https://savrn.com/datasets/prop-firm-discount-codes)

[Prop Firm Discount](https://savrn.com/model-publishers/propfirmdiscounts)

As of 2026-10-04, the biggest verified prop firm discount code is PFD from Upcomers — 90% off. Every firm's code is listed below, newest deals first. Public dataset mirror of propfirmdiscount.com — verified prop firm discount codes, funding deals, and Trustpilot ratings. The source of truth is the live site; this repository is a read-only distribution channel, synced hourly. - Every firm with published deals has its own page: md/prop-firm/{firm-slug}.md — one file per firm, headed "{Firm} Discount Code", carrying the verified code, its discount, the current deal, and the deal's FAQ. - Seasonal deals (Black Friday, Christmas, Cyber Monday, …): md/tag/ — one page per season, newest offers…

Publicly accessible other 100K<n<1M

[View dataset](https://savrn.com/datasets/prop-firm-discount-codes)

Dataset

### [talos-training-tracker](https://savrn.com/datasets/talos-training-tracker)

[Promethean Studio](https://savrn.com/model-publishers/prometheanstudio)

Publicly accessible

[View dataset](https://savrn.com/datasets/talos-training-tracker)

Dataset

### [alica](https://savrn.com/datasets/alica)

[Aliaoi1001](https://savrn.com/model-publishers/aliaoi1001)

Publicly accessible

[View dataset](https://savrn.com/datasets/alica)

Dataset

### [grpo_dppo_qwen3_1p7B_maxrl_polaris1000_knk_rollouts](https://savrn.com/datasets/grpo-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/grpo-dppo-qwen3-1p7b-maxrl-polaris1000-knk-rollouts)

Dataset

### [clap-ft-data](https://savrn.com/datasets/clap-ft-data)

[Alosh Denny](https://savrn.com/model-publishers/aoxo)

Publicly accessible

[View dataset](https://savrn.com/datasets/clap-ft-data)

Dataset

### [gh-ml](https://savrn.com/datasets/gh-ml)

[Modelomics](https://savrn.com/model-publishers/modelomics)

A continually refreshed registry of GitHub repositories across ML fields. The curated current view applies ml-contribution-v5 and seeks projects that present a distinct contribution to an ML model, method, or technique. Broad Search, topic, census, and paper-link discovery is retained as raw provenance; Search observations take precedence during current-view selection. The selector is a high-precision text heuristic, not verification. Self-description cannot establish actual novelty, correctness, reproducibility, or scientific quality. Its rules screen common forks, owner/profile repositories, coursework, resource collections, tutorial-only projects, and unrelated utilities from the curated…

Publicly accessible other

[View dataset](https://savrn.com/datasets/gh-ml)

Dataset · Other

### [shopee-dataset](https://savrn.com/datasets/shopee-dataset)

[Rebrowser.net](https://savrn.com/model-publishers/rebrowser)

prettyname: "Shopee Product Listings Dataset" - shopee - e-commerce - southeast-asia - product-data - marketplace - pricing-data - open-data - data-science - web-scraping - scraper - crawler - data-collection sizecategories: taskcategories: - other - configname: product-details datafiles: Daily snapshots of Shopee product listings across Taiwan and Southeast Asian marketplaces with variant pricing, seller metrics, ratings, and shipping data. This dataset is a preview sample of the Shopee dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research. This dataset contains 1 entity, each in its…

Publicly accessible cc-by-nc-4.0 10M<n<100M

[View dataset](https://savrn.com/datasets/shopee-dataset)

Dataset

### [tacwam-demo-videos](https://savrn.com/datasets/tacwam-demo-videos)

[Hao Wang](https://savrn.com/model-publishers/haohw)

Aligned visualizations of tactile-glove human demonstrations (Noitom capture rig) for the tacWAM project. Each clip = 4 camera panels (head RGB / head depth / left & right wrist), both hands' tactile heatmaps, and a total-pressure timeline. English overlays, 15 fps. Shared QC sheet → https://docs.google.com/spreadsheets/d/1jdWoaNQhLIEqkpm8nlQoOuralDeuo69T5fyzmRIWO44/ As you eyeball the clips, record any issues (empty/absent objects, in-air motion, weak/dead tactile channels, choppy video, mislabeled task, alignment glitches, etc.) in the sheet. Use the sessionid (the.mp4 filename) as the row key so findings are traceable. Play any.mp4 inline by clicking it, or open its direct URL…

Publicly accessible other

[View dataset](https://savrn.com/datasets/tacwam-demo-videos)

## 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.