# Datasets, Page 70 of 132
Source: https://savrn.com/datasets/page/70
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_antigua_barbuda_laws](https://savrn.com/datasets/ipfs-antigua-barbuda-laws)

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

Research snapshot of official national legislation from laws.gov.ag / Official Gazette (gazette.laws.gov.ag) / Ministry of Justice & Legal Affairs. Not legal advice. The official gazette / authentic source prevails over this corpus. - data/laws.parquet — one row per instrument. - data/articles.parquet — article/section rows for the same snapshot. - scrapers/ — collectag.py (collector, splitter), agcatalog.py (official-source catalog), agbatch.py (Hub-aware batch runner), agfixv3.py (v3 approved tip fixes), textlayer.py (garbled text-layer detector), ctrlchars.py / ctrlaudit.py (control characters), bzocrgarbled.py (OCR noise-page filter), and the shared helpers common.py, worldlib.py…

Publicly accessible other 10K<n<100K

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

Dataset · Other

### [us-remote-ai-ml-job-postings](https://savrn.com/datasets/us-remote-ai-ml-job-postings)

[Joey](https://savrn.com/model-publishers/joeygambino)

This dataset contains clean, structured public data exported directly from production runs of Apify actors. It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines. Fresh job listings for AI, ML, and Software Engineering positions across the United States. Includes canonical job posting URLs, hiring company names, job titles, locations, raw posting age, and estimated posting dates. Generated via Apify Actor captainhandsome/linkedin-public-jobs-search. - title: (e.g. AI Engineer) - company: (e.g. P-1 AI) - location: (e.g. San Francisco Bay Area) - url: (e.g. https://www.linkedin.com/jobs/view/ai-engineer-at-p-1-ai-443)…

Publicly accessible mit n<1K

[View dataset](https://savrn.com/datasets/us-remote-ai-ml-job-postings)

Dataset · Text retrieval

### [ipfs_solomonislands_laws](https://savrn.com/datasets/ipfs-solomonislands-laws)

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

Research snapshot of official national legislation from AGC Legislation Portal — Acts currently in force (attorneygenerals.gov.sb). Not legal advice. The official gazette / authentic source prevails over this corpus. - data/laws.parquet — one row per instrument. - data/articles.parquet — article/section rows for the same snapshot. - scrapers/collectsb.py — research collector used to build this snapshot. Official Solomon Islands AGC texts; authentic text prevails; not legal advice. This dataset is not legal advice. The official source prevails. - https://attorneygenerals.gov.sb/legislation/legislation-portal/ Download Monitor Acts currently in force via official AGC portal. Polite ≤1 req/s.…

Publicly accessible other 1K<n<10K

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

Dataset

### [sglang-migration-20260911](https://savrn.com/datasets/sglang-migration-20260911)

[Zheng Du](https://savrn.com/model-publishers/crmsndu)

Code, worktrees, original corpora, experiment outputs and frozen evidence for sglangtest. Read RESTORE.md and verification.json before restoring. migration-inventory.json maps the included files; SHA256SUMS uses portable relative paths. Research-secure remote data is deferred at the owner request. Runtime KV stores and credentials are excluded.

Publicly accessible

[View dataset](https://savrn.com/datasets/sglang-migration-20260911)

Dataset

### [ai-research-berkeley-webagent](https://savrn.com/datasets/ai-research-berkeley-webagent)

[FuriosaAI-Berkeley](https://savrn.com/model-publishers/minjaelee-furiosaai-ext)

Native GEPA, CLUE and ACE experiment logs and available actor trajectory evidence. Files require manual access approval. Request access with your Hugging Face account. - Combined experiment summary: GEPA, CLUE and ACE; method × site for WebArena. - Non-WebArena repeat scores and variance, including completed ACE ≤50k-token evaluations. - Systematic raw evidence snapshot: 590,861 file paths, source/export checksums, original and invalidated attempts, checkpoints and restoration script. This is a timestamped snapshot. WebArena training continues; incomplete groups are explicitly marked. Original ACE context-limit failures and separate reevaluations remain distinct. - Non-WebArena results…

Access requested at publisher

[View dataset](https://savrn.com/datasets/ai-research-berkeley-webagent)

Dataset

### [simple-measured-scenes-v1](https://savrn.com/datasets/simple-measured-scenes-v1)

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

Versioned geographic map packages and tiled viewer assets for FireViewer. The generic producer is the separate UWD Map Builder; historical FireViewer spatial identifiers remain part of the published compatibility and provenance contracts. These are geographic resources, not a conventional image-training dataset. Map geometry, semantic placements and display assets must remain distinct from dated fire observations, incident perimeters, simulations and model predictions. The current repository contains three runtime/viewer-tiled/catalog.json files: Each catalogue records its bounds, local origin, metre units, asset paths and hashes. Viewer coordinates use a local glTF Y-up frame; preserve the…

Publicly accessible other

[View dataset](https://savrn.com/datasets/simple-measured-scenes-v1)

Dataset

### [928](https://savrn.com/datasets/928)

[Fulei](https://savrn.com/model-publishers/fulei1232)

Public archive of /media/fulei/jlu for account fulei1232. Hugging Face cannot store a single file larger than 50GB, and it cannot store paths inside a directory named.cache. - 30 optimizer checkpoints are stored as 40GB parts named.optimizer.part000,.optimizer.part001,... - Restore one checkpoint with cat some.optimizer.part > some.optimizer after checking optimizerpartsmanifest.tsv. - robomme/robommepreprocesseddata/.cache is copied to robomme/robommepreprocesseddata/cache. - proxy.env is not in this repository.

Publicly accessible other

[View dataset](https://savrn.com/datasets/928)

Dataset

### [Vietnamese-Speech-QA](https://savrn.com/datasets/vietnamese-speech-qa)

[Nguyen Ba Duc Anh](https://savrn.com/model-publishers/anhnbd2005)

Access requested at publisher

[View dataset](https://savrn.com/datasets/vietnamese-speech-qa)

Dataset

### [dpo-icelandic-interpreted](https://savrn.com/datasets/dpo-icelandic-interpreted)

[Jonas Lindh](https://savrn.com/model-publishers/jonasaise)

This dataset contains Direct Preference Optimization (DPO) pairs translated and culturally adapted into Icelandic from the original argilla/ultrafeedback-binarized-preferences-cleaned dataset. The dataset contains the following fields: - prompt: The culturally adapted Icelandic prompt. - chosen: The high-quality, authentic Icelandic response. - rejected: The poorly translated, uncalibrated response. - language: The target language of the row. This dataset inherits the license from its source dataset argilla/ultrafeedback-binarized-preferences-cleaned (MIT).

Publicly accessible mit

[View dataset](https://savrn.com/datasets/dpo-icelandic-interpreted)

Dataset

### [moore-speech-bible](https://savrn.com/datasets/moore-speech-bible)

[Tahta Timur](https://savrn.com/model-publishers/tahtatimur)

Publicly accessible

[View dataset](https://savrn.com/datasets/moore-speech-bible)

Dataset

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

[Nguyen Ngoc Minh](https://savrn.com/model-publishers/nguyenminh04)

Publicly accessible

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

Dataset

### [splataverse-tableverse](https://savrn.com/datasets/splataverse-tableverse)

[Maximum Wilder-Smith](https://savrn.com/model-publishers/maxwildersmith)

TableVerse -> Gaussian splats Real Gaussian splats (.spz) converted from TableVerse-100K (ByteDance, CC BY 4.0) via this project's own analytic, training-free mesh-to-splat converter (splataverse.cli mesh-to-splat --split components, CPU/torch backend). Ingestion of the full ~100k-scene dataset is in progress; scenes are added incrementally as they finish. Source attribution Dataset: TableVerse-100K, ByteDance

Access requested at publisher cc-by-4.0

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

Dataset

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

[Le Thu Thao](https://savrn.com/model-publishers/thaole98110)

Publicly accessible

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

Dataset · Text retrieval

### [ipfs_sweden_municipal_laws_ir](https://savrn.com/datasets/ipfs-sweden-municipal-laws-ir)

[Justicedao](https://savrn.com/model-publishers/justicedao)

Research retrieval release of endomorphosis/ipfsswedenmunicipallaws (revision 2f9d9e955fbbab941a0508e85d1e65f6e50cb623) packaged as country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir). Not legal advice. This is a research snapshot. The official gazette / authentic source of Sweden Municipal prevails over this corpus. Retrieved documents and graph edges are retrieval evidence only. No legal text was invented. Primary key: entrycid (CIDv1 raw sha2-256 of a canonical identity record). Integer documentindex values are compact shard pointers, not identities. Target Hub id (packaging metadata only): justicedao/ipfsswedenmunicipallawsir. entrycid, lawcid…

Publicly accessible other 10K<n<100K

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

Dataset · Image classification

### [OAI-Knee-MRI](https://savrn.com/datasets/oai-knee-mri)

[Charwis Reno](https://savrn.com/model-publishers/charwisreno)

This dataset contains 92,313 verified, preprocessed Knee MRI volumes from the Osteoarthritis Initiative (OAI). The original DICOM/medical imaging files have been standardized, cleaned, and converted into highly efficient 3D.npy (NumPy) arrays to accelerate machine learning and computer vision workflows. To handle the massive scale of this data, the dataset has been strictly verified to remove missing files and non-MRI scans (e.g., X-rays), and is packaged into sequential.tar chunks (~82 GB each) for stable downloading and distributed training. This dataset is designed for researchers, data scientists, and medical AI developers building 3D computer vision models. Primary use cases include…

Access requested at publisher other 10K<n<100K

[View dataset](https://savrn.com/datasets/oai-knee-mri)

Dataset · Visual question answering

### [SurgVLM-Video-Benchmark](https://savrn.com/datasets/surgvlm-video-benchmark)

[Dong Yang](https://savrn.com/model-publishers/yangd05)

Held-out video eval set for SurgVLM-style surgical video tasks. Each QA row is paired with an MP4 clip (the listed frames encoded in order). - 36 tasks, 200 QA rows each = 7,200 rows - 6,512 MP4 clips (rows can share a clip) videopath is relative to this repo root, e.g. media/GraSP/GraSPCASE041002476-002485n10.mp4. Clip identity is mediauid (SHA-256 of {imagepaths, clipdurationsec, fps}). Multiple QA rows can share one clip. If you hit Xet Runtime Error / Task Panic, retry with HFHUBDISABLEXET=1.

Access requested at publisher 1K<n<10K

[View dataset](https://savrn.com/datasets/surgvlm-video-benchmark)

Dataset

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

[Ebran](https://savrn.com/model-publishers/data-eb)

Publicly accessible

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

Dataset · Image to text

### [REVA_PO_Datasets](https://savrn.com/datasets/reva-po-datasets)

[Li Guo](https://savrn.com/model-publishers/liguo12)

Dataset files and annotations used in REVA-PO: Stabilizing Reinforcement Learning for Chest X-ray Report Generation, accepted to ECCV 2026. REVA-PO is a reinforcement learning framework for chest X-ray report generation. It uses Response-Weighted Regularization and Validation-Anchored Policy Reset to improve training stability and exploration. This repository contains the IU-Xray data package and the MIMIC-CXR annotation files used by the released code. The model checkpoints are available in the REVA-PO weights repository. Install the Hugging Face Hub client: Extract images.zip inside iuxraydataset/: Set the following fields in the REVA-PO configuration files: MIMIC-CXR images are not…

Publicly accessible cc-by-4.0

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

Dataset · Speech recognition

### [XIMA-2122](https://savrn.com/datasets/xima-2122)

[DOVEXAI](https://savrn.com/model-publishers/dovexai)

Curated by DOVEXAI LTD (Nigeria) · dovexai.africa · dovexai.io A provenance-tracked dataset of Nigerian-language voice recordings paired with human transcriptions and translations, built for evaluation and supervised fine-tuning (SFT) of speech and translation models. Every recording is cryptographically receipted, pseudonymised, and quality-checked before release. DOVEXAI builds training and evaluation data across every modality - text, audio, image, video, document and multimodal - including collection, transcription, translation, data generation, SFT and RLHF preference data, human evaluation and red-teaming packs. Our differentiated coverage is Nigerian and other African languages…

Publicly accessible cc-by-4.0 n<1K

[View dataset](https://savrn.com/datasets/xima-2122)

Dataset

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

[Ngo Hai Thanh](https://savrn.com/model-publishers/thanhngo58222)

Publicly accessible

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

Dataset

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

[Pham Minh Hieu](https://savrn.com/model-publishers/hieupham89322)

Publicly accessible

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

Dataset

### [google-ads-transparency](https://savrn.com/datasets/google-ads-transparency)

[Najeh Halawani](https://savrn.com/model-publishers/najeh-halawani)

Publicly accessible

[View dataset](https://savrn.com/datasets/google-ads-transparency)

Dataset

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

[Dang Quang Thao](https://savrn.com/model-publishers/thaodang84838)

Publicly accessible

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

Dataset

### [MemGUI-RL-Eval](https://savrn.com/datasets/memgui-rl-eval)

[Anonymous](https://savrn.com/model-publishers/memgui-rl)

Evaluation logs of every model row reported in the ICLR 2027 submission MemGUI-RL (project page: https://memgui-rl-anonymous.github.io/). One zip archive per evaluation session: memguibench/.zip - per-task ConAct trajectories (traj.json, three attempts where applicable), MemGUI-Eval judge outputs (results.csv, per-attempt judgments, failure labels, information-retention analyses) and run metadata. Screenshots are omitted for size; the paper's case-study tasks are included under casestudies/ with down-scaled screenshots. mobileworld/.zip - per-task trajectories and the MobileWorld GUI-only evaluation report. manifest.json maps every archive to the row of the paper it supports.…

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/memgui-rl-eval)

## 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.