# Datasets, Page 41 of 132
Source: https://savrn.com/datasets/page/41
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 · Text retrieval

### [ipfs_zambia_laws](https://savrn.com/datasets/ipfs-zambia-laws)

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

Research snapshot of official legislation collected from Parliament of Zambia / ZambiaLII. 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/collectzm.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-zambia-laws)

Dataset · Text retrieval

### [ipfs_laos_laws](https://savrn.com/datasets/ipfs-laos-laws)

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

Research snapshot of official legislation collected from Lao Official Gazette. 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/collectla.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 texts…

Publicly accessible other 1K<n<10K

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

Dataset

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

[Raymondt](https://savrn.com/model-publishers/raymondt)

Publicly accessible

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

Dataset

### [content-20260918d743](https://savrn.com/datasets/content-20260918d743)

[Nguyen](https://savrn.com/model-publishers/icdn22)

Publicly accessible

[View dataset](https://savrn.com/datasets/content-20260918d743)

Dataset

### [content-20260918c975](https://savrn.com/datasets/content-20260918c975)

[Nguyen](https://savrn.com/model-publishers/icdn21)

Publicly accessible

[View dataset](https://savrn.com/datasets/content-20260918c975)

Dataset

### [audios3](https://savrn.com/datasets/audios3)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/audios3)

Dataset · Object detection

### [fire-smoke-detection-corpus-v2](https://savrn.com/datasets/fire-smoke-detection-corpus-v2)

[Fire Viewer](https://savrn.com/model-publishers/fireviewer)

auto-safe/ contains approved model proposals and unanimous negative GT. auto-bonzai/ contains Bonsai corrections confirmed with high confidence. manuelle/ contains annotations accepted or corrected by a human. global/ contains distant views with visible fire or smoke outside forest-wildfire scenes. wildfire/ contains distant views with visible forest wildfire. Flame boxes stay small; a distant smoke plume may cover a large area. gold/ is the human calibration holdout; it is excluded from training. Some gold rows provide presence and origin points without boxes; use goldscope. Images and source licences are embedded or recorded per row; there is no blanket image licence. See audit/lots/ for…

Publicly accessible other

[View dataset](https://savrn.com/datasets/fire-smoke-detection-corpus-v2)

Dataset · Other

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

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

prettyname: "Gametime Last-Minute Tickets & Event Listings Dataset" - open-data - data-science - web-scraping - scraper - crawler - data-collection - tickets - event-tickets - live-events - ticket-marketplace - sports-tickets - concert-tickets - ticket-pricing sizecategories: taskcategories: - other - configname: event-listings datafiles: - configname: events datafiles: - configname: performers datafiles: - configname: venues datafiles: Daily snapshots of Gametime's last-minute ticket marketplace with events, listings, deal badges, venues, and performers across sports, concerts, and theater. This dataset is a preview sample of the Gametime dataset published by Rebrowser. If you're doing…

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

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

Dataset · Text retrieval

### [ipfs_serbia_laws](https://savrn.com/datasets/ipfs-serbia-laws)

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

Research snapshot of official legislation collected from PIS + parlament.gov.rs zakoni PDFs. 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/collectrs.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-serbia-laws)

Dataset

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

[Scott L. Kim](https://savrn.com/model-publishers/kimscott6305)

Publicly accessible

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

Dataset · Image and text to text

### [hallucination-evaluation-results](https://savrn.com/datasets/hallucination-evaluation-results)

[Đinh Quốc Bảo](https://savrn.com/model-publishers/toitenbao)

Canonical COCO and AMBER detection packages are under detection/ /models/ /probes/ /. See detection/index.json for active and pending packages. Each published package has a manifest with exact checkpoint, cache and test-result paths. Seeds are 0, 42 and 1337. TruthPrInt retains its native validation TPR-at-1%-FPR checkpoint; other detection probes use best pooled validation AUROC. Detection thresholds are validation-best F1. COCO and AMBER are independent training/evaluation datasets. COCO 13B Ours/VIB checkpoints, caches and results are copied here; their frozen source records are not yet published, so these two packages remain pending in the index. ablation/ contains separately indexed…

Publicly accessible

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

Dataset

### [classS-schur-db](https://savrn.com/datasets/classs-schur-db)

[Minseok Cho](https://savrn.com/model-publishers/cms1308)

A database of exact finite expansions of the Schur index of four-dimensional N=2 superconformal theories of class S. Release 5 holds 118,867 records, one per construction or Argyres–Douglas label: untwisted theories of type A₁–A₄, D₄, E₆, E₇ and E₈, ℤ₂-twisted theories of type A₃, D₄ and E₆, ℤ₃-twisted theories of type D₄, and Argyres–Douglas theories with one irregular puncture. Every series is computed from a published index formula with exact integer arithmetic and stored through x²⁰ (x = q^(1/2)), and every record names its sources: the index formula, the catalogue location of every piece of its construction, the sources of its annotations, and earlier computations of the same index in…

Publicly accessible cc-by-4.0 100K<n<1M

[View dataset](https://savrn.com/datasets/classs-schur-db)

Dataset · Text generation

### [Dolci-Think-SFT-translated](https://savrn.com/datasets/dolci-think-sft-translated)

[OpenEuroLLM](https://savrn.com/model-publishers/openeurollm)

Machine translations of the Dolci-Think-SFT-32B dataset, produced with gemma-4-31B-it. The samples selected for translation are those where contentquality == "excellent" according to the propella annotations. Each row is a translated conversation plus the result of a post-translation quality filter: - id — source record id. - messages — the translated conversation (list of {content, role}). - filterpass — true if the row passed every filter check (the recommended clean subset). - rejectreasons — empty when filterpass, otherwise any of: structure (broken /turn mismatch), truncated (a trace/answer hit the generation token cap or has unbalanced delimiters), wronglang (target-language character…

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/dolci-think-sft-translated)

Dataset

### [xuahyja-audio-zv](https://savrn.com/datasets/xuahyja-audio-zv)

[Lão Tứ](https://savrn.com/model-publishers/laotureview)

Access requested at publisher

[View dataset](https://savrn.com/datasets/xuahyja-audio-zv)

Dataset

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

[Cubelawm](https://savrn.com/model-publishers/cubelawm)

Publicly accessible

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

Dataset

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

[Vu Quang Thanh](https://savrn.com/model-publishers/thanhvu84760)

Publicly accessible

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

Dataset

### [wham3d-cts-trace-rollouts-20260923](https://savrn.com/datasets/wham3d-cts-trace-rollouts-20260923)

[Robert Osazuwa Ness](https://savrn.com/model-publishers/osazuwa)

Growing, publicly downloadable video-backed rollout dataset for the trace ablation arm at training step 500, seed 20260921. Each selected frozen observational prefix has exactly one cached continuation in each of two routes: null-intervention observational and diagnostic do(X=1). Prefix IDs are sorted once within each (W,Z) stratum and remain balanced as the cohort grows. The direct route of an observationally trained arm is a diagnostic; it does not replace the paper's observational importance-weighted estimator. Sampling note. Rollouts use a growing key-value cache: every generated frame attends to the whole history since the prefix, up to 280 frames, at absolute temporal positions. The…

Publicly accessible

[View dataset](https://savrn.com/datasets/wham3d-cts-trace-rollouts-20260923)

Dataset · Speech recognition

### [ralomi-reazonspeech-20h-development](https://savrn.com/datasets/ralomi-reazonspeech-20h-development)

[TTS Dataset](https://savrn.com/model-publishers/tts-dataset)

This repository is configured as public with manual access approval. No audio, transcripts, or training manifests have been uploaded yet. The original transfer-staging metadata is retained below as history. Since 2026-10-08 this repository also preserves encrypted saved fullstate checkpoints from the actual 5000h development training and its continuations. Source: ReazonSpeech, provided by Reazon Human Interaction Laboratory / Reazon Holdings, Inc. Upstream specifies use solely within Article 30-4 of the Japanese Copyright Act; review the upstream dataset card and comply with applicable law. The license is not altered by this access gate. No additional license restrictions are asserted…

Access requested at publisher cdla-sharing-1.0

[View dataset](https://savrn.com/datasets/ralomi-reazonspeech-20h-development)

Dataset

### [4b3ac5ffd8a65dd1](https://savrn.com/datasets/4b3ac5ffd8a65dd1)

[Natli Smith](https://savrn.com/model-publishers/natw0lf)

Publicly accessible

[View dataset](https://savrn.com/datasets/4b3ac5ffd8a65dd1)

Dataset

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

[PROBBINE](https://savrn.com/model-publishers/probbi)

Publicly accessible unknown

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

Dataset

### [content-20260918fedd](https://savrn.com/datasets/content-20260918fedd)

[Nguyen](https://savrn.com/model-publishers/icdn19)

Publicly accessible

[View dataset](https://savrn.com/datasets/content-20260918fedd)

Dataset

### [mlebench-lite-baseline-checkpoints](https://savrn.com/datasets/mlebench-lite-baseline-checkpoints)

[Yu Xia](https://savrn.com/model-publishers/cheesewafer)

Publicly accessible

[View dataset](https://savrn.com/datasets/mlebench-lite-baseline-checkpoints)

Dataset

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

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

Publicly accessible

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

Dataset

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

[HABIB](https://savrn.com/model-publishers/hr1018)

Publicly accessible

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

## 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.