# Datasets, Page 37 of 132
Source: https://savrn.com/datasets/page/37
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

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

[Nomar Salazar](https://savrn.com/model-publishers/nomarsm)

Publicly accessible

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

Dataset

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

[Pham Ngoc Trang](https://savrn.com/model-publishers/trangpham20469)

Publicly accessible

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

Dataset

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

[Pham Hai Thanh](https://savrn.com/model-publishers/thanhpham18860)

Publicly accessible

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

Dataset

### [jtk0-search-ledger](https://savrn.com/datasets/jtk0-search-ledger)

[Jake Danson](https://savrn.com/model-publishers/jtktolivefor)

Publicly accessible

[View dataset](https://savrn.com/datasets/jtk0-search-ledger)

Dataset · Text retrieval

### [ipfs_azerbaijan_laws](https://savrn.com/datasets/ipfs-azerbaijan-laws)

[Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis)

Research snapshot of official legislation collected from e-qanun.az downloadDetailPdf. Not legal advice. Official gazettes / government portals prevail over this corpus. - data/laws.parquet — one row per instrument (id, title, full text, dates, status, identifiers, article count, source URL). - data/articles.parquet — one row per article/section (lawid, article number, title, text, source URL). - scrapers/collectaz.py — research collector used to build this snapshot. - scrapers/common.py — shared collector helpers. - scrapers/worldlib.py — shared fetch (live official URL, Wayback fallback). - scrapers/archivefallbacks.py — Wayback / Common Crawl CDX helpers. Official government / gazette…

Publicly accessible other 1K<n<10K

[View dataset](https://savrn.com/datasets/ipfs-azerbaijan-laws)

Dataset

### [b08b13947cf3](https://savrn.com/datasets/b08b13947cf3)

[Werhjf](https://savrn.com/model-publishers/wegrthj)

Publicly accessible

[View dataset](https://savrn.com/datasets/b08b13947cf3)

Dataset · Text generation

### [midi-tokens-dyadic-tu0.01-vb32-mts1.0-vocab512-performances-aug-more](https://savrn.com/datasets/midi-tokens-dyadic-tu0-01-vb32-mts1-0-vocab512-performances-aug-more)

[Wojciech Matejuk](https://savrn.com/model-publishers/wmatejuk)

Pre-tokenized MIDI pieces for IsoFLOP scaling-law runs. Each row is one full piece (no time-windowing); training crops sequences from packed token bins. The source column is the original piece metadata as JSON so a row can be traced back to its EPR Labs source dataset. Based on MIDI datasets gathered by EPR Labs. - maxtimestep: 1.0 - nvelocitybins: 32 - timeunit: 0.01 The repository also stores midicodec.json and Hugging Face tokenizer files so token ids can be rebuilt exactly. Train pieces only (more setting). Validation and test are unaugmented Maestro. - maestro-sustain-v2 - giant-midi-sustain-v2 - pijamia-midi-v1 - atepp-1.1-sustain-v2 - music-net - piast-midi - aria-pruned-base-v2…

Publicly accessible

[View dataset](https://savrn.com/datasets/midi-tokens-dyadic-tu0-01-vb32-mts1-0-vocab512-performances-aug-more)

Dataset

### [gsd-humaneval-annotations](https://savrn.com/datasets/gsd-humaneval-annotations)

[Lj V. Miranda](https://savrn.com/model-publishers/ljvmiranda921)

Publicly accessible

[View dataset](https://savrn.com/datasets/gsd-humaneval-annotations)

Dataset

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

[Andrea](https://savrn.com/model-publishers/nowfrogg)

Publicly accessible mit

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

Dataset

### [Levir_ship_training](https://savrn.com/datasets/levir-ship-training)

[Hoang Trung Nguyen](https://savrn.com/model-publishers/hoangtrungnguyen)

Publicly accessible

[View dataset](https://savrn.com/datasets/levir-ship-training)

Dataset

### [solar](https://savrn.com/datasets/solar-2)

[Vo Minh Ngan](https://savrn.com/model-publishers/nganvo14681)

Publicly accessible

[View dataset](https://savrn.com/datasets/solar-2)

Dataset · Text retrieval

### [ipfs_srilanka_laws](https://savrn.com/datasets/ipfs-srilanka-laws)

[Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis)

Research snapshot of official legislation collected from documents.gov.lk / parliament.lk. Not legal advice. Official gazettes / government portals prevail over this corpus. - data/laws.parquet — one row per instrument (id, title, full text, dates, status, identifiers, article count, source URL). - data/articles.parquet — one row per article/section (lawid, article number, title, text, source URL). - scrapers/collectlk.py — research collector used to build this snapshot. - scrapers/common.py — shared collector helpers. - scrapers/worldlib.py — shared fetch (live official URL, Wayback fallback). - scrapers/archivefallbacks.py — Wayback / Common Crawl CDX helpers. Official government /…

Publicly accessible other 1K<n<10K

[View dataset](https://savrn.com/datasets/ipfs-srilanka-laws)

Dataset · Text retrieval

### [ipfs_tunisia_laws](https://savrn.com/datasets/ipfs-tunisia-laws)

[Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis)

Research snapshot of official legislation collected from Journal Officiel (IORT/JORT; iort.gov.tn / ocr.jort.tn). Not legal advice. Official gazettes / government portals prevail over this corpus. - data/laws.parquet — one row per instrument (id, title, full text, dates, status, identifiers, article count, source URL). - data/articles.parquet — one row per article/section (lawid, article number, title, text, source URL). - scrapers/collecttn.py — research collector used to build this snapshot. - scrapers/common.py — shared collector helpers. - scrapers/worldlib.py — shared fetch (live official URL, Wayback fallback). - scrapers/archivefallbacks.py — Wayback / Common Crawl CDX helpers.…

Publicly accessible other 1K<n<10K

[View dataset](https://savrn.com/datasets/ipfs-tunisia-laws)

Dataset

### [Research_results](https://savrn.com/datasets/research-results)

[RG Exp Organization](https://savrn.com/model-publishers/rgexp123)

Publicly accessible

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

Dataset

### [diffusers-metadata](https://savrn.com/datasets/diffusers-metadata)

[Hugging Face](https://savrn.com/model-publishers/huggingface)

Publicly accessible apache-2.0

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

Dataset

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

[Bui Gia Anh](https://savrn.com/model-publishers/anhbui79986)

Publicly accessible

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

Dataset

### [dmi-aarhus-weather-data](https://savrn.com/datasets/dmi-aarhus-weather-data)

[Mathias Pedersen](https://savrn.com/model-publishers/ciroc0)

Training data and model artifact dataset for the Aarhus weather pipeline. Maintained by Ciroc0. - targettimestamp - referencetime - leadtimehours - leadbucket - dmipred - actual - forecastwindu - forecastwindv - dmipredrundelta - observationcontexttimestamp - obs - tempcorrectiontarget - windspeedcorrectiontarget - windgustcorrectiontarget This dataset is released under CC BY 4.0. - Ciroc0 - Open-Meteo - https://open-meteo.com - DMI / DMI HARMONIE This dataset contains derived weather data and model artifacts built from upstream services. Attribution requirements from upstream providers still apply.

Publicly accessible cc-by-4.0

[View dataset](https://savrn.com/datasets/dmi-aarhus-weather-data)

Dataset

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

[Ben Olan Ben](https://savrn.com/model-publishers/benolanben)

Publicly accessible mit

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

Dataset

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

[Okoye Emmanuel Obiajulu](https://savrn.com/model-publishers/emmanuel-okoye)

Publicly accessible

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

Dataset

### [metro](https://savrn.com/datasets/metro-2)

[Emily James Castro](https://savrn.com/model-publishers/emilyjcastro1840)

Publicly accessible

[View dataset](https://savrn.com/datasets/metro-2)

Dataset

### [agentic-ai-options-results](https://savrn.com/datasets/agentic-ai-options-results)

[Manikandan Ramalingam](https://savrn.com/model-publishers/manikandan18ramalingam)

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/agentic-ai-options-results)

Dataset

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

[Vo Quang An](https://savrn.com/model-publishers/anvo14351)

Publicly accessible

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

Dataset

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

[Liu Ken](https://savrn.com/model-publishers/meo02001)

Publicly accessible

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

Dataset

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

[Le Nhat Quang](https://savrn.com/model-publishers/culacgiontan0312)

Publicly accessible

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

## 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.
