# Datasets, Page 48 of 132
Source: https://savrn.com/datasets/page/48
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

### [ApexNet-Data-Vault](https://savrn.com/datasets/apexnet-data-vault)

[PandeyJi](https://savrn.com/model-publishers/pandeyji9)

Publicly accessible

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

Dataset

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

[Leibler](https://savrn.com/model-publishers/leibler)

An executable Environment for tool-using agents, rebuilt from recorded traces. Release: 100.0% (130 of 130) of its Tasks replay as recorded; a release needs 90%. fetch checks the content hash; --revision fetches an earlier publish. harbor/ holds 123 Tasks in the Harbor task format; a judge item is scored at test time by the model KULLBACKJUDGEMODEL names, with HARNESSALLOWMODELREQUESTS=1 and the model's keys; without an answer the trial is unscored, not 0. 130 Tasks over 13 tools, each with the world it starts from and, where one was derived, its Verifier in code; tasks.jsonl lists them. One Task's instruction opens, for example: "wants to book a flight from San Francisco to New York for 3…

Publicly accessible mit

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

Dataset

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

[AI4EPS](https://savrn.com/model-publishers/ai4eps)

CEED contains 2.8 million three-component seismograms of earthquakes in California, 1977–2025, each labelled with analyst-reviewed P and S arrival times. The waveforms and labels are drawn from the NCEDC (Northern California Earthquake Data Center) and the SCEDC (Southern California Earthquake Data Center). Each record also carries the network's hypocentre, magnitude, pick weights and, where reported, the P-wave first-motion polarity and focal mechanism, so that subsets can be selected by label quality. Figure 1. Example records. Blue and orange lines mark the analyst P and S picks. A record is one earthquake observed at one station. The waveform is a (3, 12288) float32 array sampled at 100…

Publicly accessible mit

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

Dataset

### [ppr_repo](https://savrn.com/datasets/ppr-repo)

[Alexandra Mendoza](https://savrn.com/model-publishers/aleshitajaja)

Publicly accessible

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

Dataset

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

[AS](https://savrn.com/model-publishers/asriadelaideuni)

Access requested at publisher other

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

Dataset

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

[Sandile Keswa](https://savrn.com/model-publishers/skeswa)

Swingset is an evidence-preserving dataset of competitive West Coast Swing results. It traces history from 2010-01-01 onward. Events that ended before that date get no rows in events or the tables under it. The registry mirror (dancers, registryplacements) is published whole, back to the registry's own beginning; a registry placement from before the start date keeps a null eventid. That absence is the start-date rule, not missing data. Month-only events have null start and end dates and retain their registry month. Editions with neither a registry occurrence nor a public listing are outside the discoverable event inventory. DuckDB can run this query directly. Polars, pandas, and Hugging…

Publicly accessible odc-by

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

Dataset · Time series forecasting

### [central-bank-exchange-rates](https://savrn.com/datasets/central-bank-exchange-rates)

[Today](https://savrn.com/model-publishers/allrates)

Official exchange rates published by 103 central banks and 4 tax authorities, as one CSV per institution: 14,612,276 rows, the oldest series from 1914. Refreshed daily from the GitHub source repository. Every row is the figure the institution itself published for that date: the ECB euro reference rate, the Federal Reserve H.10 table, the Bank of England spot rates, RBI reference rates, PBoC central parity, HMRC monthly rates for VAT, US Treasury quarterly rates, and a hundred more. These are the rates that invoices, tax filings, customs declarations, transfer pricing and audits require, as opposed to market rates. Direction follows the publisher: the ECB quotes EUR → USD, the Reserve Bank…

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

[View dataset](https://savrn.com/datasets/central-bank-exchange-rates)

Dataset

### [behavior-pi05-all100-rollouts](https://savrn.com/datasets/behavior-pi05-all100-rollouts)

[Ryan Jin](https://savrn.com/model-publishers/ryanjin333)

Public storage for videos and per-episode metrics from the all-100 experiment. Evaluation and replay run on the existing Linux machine, not Nebius. No trained all-100 policy evaluation has been published yet. Every result must identify its policy commit, task, instance, seed, success, Q-score, steps and termination reason. Training replay and evaluation episodes remain separate.

Publicly accessible

[View dataset](https://savrn.com/datasets/behavior-pi05-all100-rollouts)

Dataset · Other

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

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

prettyname: "Cars.com Vehicle Listings Dataset" - open-data - data-science - web-scraping - scraper - crawler - data-collection - cars - automotive - car-listings - used-cars - vehicle-data - car-prices - dealer-inventory - cars-com - carscom sizecategories: taskcategories: - other - configname: car-listings datafiles: Daily sample of Cars.com vehicle listings with make, model, trim, mileage, body style, drivetrain, and dealer location across new and used inventory. This dataset is a preview sample of the Cars.com 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…

Publicly accessible cc-by-nc-4.0 1M<n<10M

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

Dataset · Robotics

### [GiT_hdf5](https://savrn.com/datasets/git-hdf5)

[XGQ](https://savrn.com/model-publishers/xgq12345)

[ GitHub ] [ arXiv ] [ HuggingFace ] [ ModelScope ] Grounded in Time is a benchmark and dataset for temporal grounding under perceptual ambiguity in robotic manipulation. Its tasks are deliberately built so that the object a command refers to cannot be identified from the current frame alone. Each scene contains several perceptually near-identical objects, and what separates them is not appearance but the temporal structure of the episode — which test tube was contaminated first, which container was filled last, which part was handed over just now. A model that grounds the instruction on the present frame alone will pick the wrong object; resolving the reference requires tracking and…

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/git-hdf5)

Dataset

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

[Liu](https://savrn.com/model-publishers/starcat123)

Publicly accessible

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

Dataset · Text classification

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

[Nyaamoe](https://savrn.com/model-publishers/nyaamoe)

NICOLOG アニメコメントアーカイブ commeonやNCOverlayでコメント付きのアニメを楽しもう！

Publicly accessible mit

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

Dataset · Other

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

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

prettyname: "iHeart Radio Stations & Airplay Dataset" - radio - iheart - airplay - radio-stations - open-data - data-science - music-data - web-scraping - scraper - crawler - data-collection sizecategories: taskcategories: - other - configname: stations datafiles: - configname: station-plays datafiles: Thousands of US and Mexico radio station profiles with audience metrics, streaming URLs, and real-time airplay tracking. The iHeart dataset on Rebrowser is free — but HuggingFace has file size limits, so this dataset contains a limited sample. For the full dataset (298.9M records, updated daily), visit rebrowser.net/products/datasets/iheart. This dataset contains 2 entities, each in its own…

Publicly accessible cc-by-nc-4.0 100M<n<1B

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

Dataset

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

[Os](https://savrn.com/model-publishers/csawxt-os-1)

Publicly accessible

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

Dataset · Other

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

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

prettyname: "AutoTrader Vehicle Listings Dataset" - open-data - data-science - web-scraping - scraper - crawler - data-collection - automotive - car-listings - used-cars - vehicle-data - autotrader - car-prices - kbb sizecategories: taskcategories: - other - configname: car-listings datafiles: New, used, and certified pre-owned vehicle listings from AutoTrader with pricing, KBB valuations, dealer info, drivetrain specs, and listing placement data. This dataset is a preview sample of the AutoTrader 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…

Publicly accessible cc-by-nc-4.0 1M<n<10M

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

Dataset

### [weact-native-science-checkpoint](https://savrn.com/datasets/weact-native-science-checkpoint)

[Xunjian Yin](https://savrn.com/model-publishers/corning)

The fixed eight-question, seven-arm pilot has reached its human-review checkpoint. All 56 planned task records are in pilotv4/. The frozen 3,000-question test has not been run. No accuracy score or retraining conclusion is claimed. The independent Serper, Jina and E2B checks passed, and each backend passed native webpage extraction with the live auxiliary model. The corrected runtime uses original questions, native hard/soft routing, the unchanged three old adapters, and either trained or zero-update sham Code. Read the checkpoint and findings before interpreting outputs. “Visible summaries” measures answer delivery, not correctness. A Code request proves adapter routing; successful…

Publicly accessible cc-by-nc-sa-4.0

[View dataset](https://savrn.com/datasets/weact-native-science-checkpoint)

Dataset

### [realsee3d-synthetic-selected-categories](https://savrn.com/datasets/realsee3d-synthetic-selected-categories)

[Aki Lee](https://savrn.com/model-publishers/akirikka)

Realsee3D synthetic category-priority production Incremental, geometry-filtered synthetic multiview objects under staging/20260923. This is a partial evolving staging dataset, not a frozen release or complete coverage of requested categories. Generated masks, meshes and poses are derived supervision, not ground truth. Source and license All source data and derived information remain subject to the Realsee3D Dataset

Access requested at publisher other

[View dataset](https://savrn.com/datasets/realsee3d-synthetic-selected-categories)

Dataset

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

[Tardelli Stekel](https://savrn.com/model-publishers/tardellirs)

The day-by-day upvote history of every Hugging Face Daily Papers entry since 2024-03-12, updated every day. It powers Paper Pulse (Space). Built from the past revisions of hysts-bot-data/daily-papers-stats and the paper list in hysts-bot-data/daily-papers, both by @hysts, plus paper details from the public Daily Papers API. Thanks to hysts for keeping that record and for releasing it under CC0 1.0. - Upvotes can go down. People unvote, and on a few days the Hub removed votes from many papers at once (2025-09-12, 2025-12-23, 2026-09-16, 2026-09-18; the cause was not announced). The series keeps the raw value of each day and never corrects it. A day counts as a purge when at least max(250, 2%…

Publicly accessible cc-by-4.0 1M<n<10M

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

Dataset

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

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

Publicly accessible

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

Dataset · Text generation

### [unjudged-nepali-agri-gov-instruct](https://savrn.com/datasets/unjudged-nepali-agri-gov-instruct)

[Aaraj Bhatar](https://savrn.com/model-publishers/aarajbhattarai)

Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data Designer from authoritative Nepali documents (agriculture manuals, legal texts). Answers are grounded strictly in the source; unanswerable questions get an explicit refusal. Records use chat messages format plus metadata and per-record qualityscores (grounding / correctness / naturalness, 1-5, LLM-as-judge). One data/train-.jsonl per source document; shards are overwritten idempotently on re-runs. Generated dialogues whose LLM-judge call failed (qualityscores are null). Re-judge before any use. Do NOT use as-is for instruction tuning.

Publicly accessible

[View dataset](https://savrn.com/datasets/unjudged-nepali-agri-gov-instruct)

Dataset

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

[Utku Turkbey](https://savrn.com/model-publishers/uturkbey)

Access requested at publisher

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

Dataset

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

[Marilyn S. Powell](https://savrn.com/model-publishers/marilynspowell2606)

Publicly accessible

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

Dataset

### [fireguard-serving](https://savrn.com/datasets/fireguard-serving)

[Vladimir](https://savrn.com/model-publishers/curiousdata)

Publicly accessible

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

Dataset

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

[Dynamic Autonomy and Intelligent Robotics Lab @ UPenn](https://savrn.com/model-publishers/dairlab)

This dataset stores authoritative timestamps and metadata in Parquet tables and stores frame payloads in video containers. Video presentation timestamps are not used for synchronization; use tables/frames.parquet and videoframeidx. - datasetmanifest.parquet: converted sessions in this dataset root - sessions/ /metadata/streams.parquet: stream IDs and modalities - sessions/ /metadata/videos.parquet: stream-to-video mapping - sessions/ /tables/frames.parquet: authoritative timestamps, frame indices, clock domains, and hashes - sessions/ /tables/robotstates.parquet: robot states, if present - sessions/ /metadata/calibration.json: calibration and transform conventions - sessions/…

Publicly accessible

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

## 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.
