# Datasets, Page 74 of 132 Source: https://savrn.com/datasets/page/74 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- 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 - [10K1T16](https://savrn.com/datasets?size=n%3E1T) - [1B1M1](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 ### [green-vla-spiral-trackio-data](https://savrn.com/datasets/green-vla-spiral-trackio-data) [Domrachev](https://savrn.com/model-publishers/domrachev03) Publicly accessible [View dataset](https://savrn.com/datasets/green-vla-spiral-trackio-data) Dataset · Speech recognition ### [dhravani-iiitdelhi-test](https://savrn.com/datasets/dhravani-iiitdelhi-test) [Shrikant Nayak](https://savrn.com/model-publishers/shrikanth-19) Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference A web-based interface for preparing audio datasets to fine-tune OpenAI's Whisper model. This tool helps in recording, managing, and organizing voice recordings with their corresponding transcriptions, with support for cloud storage and authentication. - ⌨ Keyboard shortcuts for efficiency 1. Create a transcript CSV file with your content: 2. Start the Flask application: 3. Access the interface: 1. Authentication 2. Session Setup - Click "Start Session" 3. Recording - Use on-screen controls or keyboard shortcuts: - R: Start recording / Stop recording - Space: Play recording - Enter: Save… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/dhravani-iiitdelhi-test) Dataset · Text classification ### [goldrails](https://savrn.com/datasets/goldrails) [raxIT Labs](https://savrn.com/model-publishers/raxitlabs) v0.0.1, revised 29 September 2026. Research release, complete text. This revision is built from internal release v1.3. The first upload of v0.0.1, built from internal release v1.2, stays at Hub revision 3e3ed7f3bbed83b6d12316d2b5b396acdfc40873 (tag v0.0.1), so results computed on it remain traceable; CHANGELOG.md lists every change. Code: https://github.com/raxITlabs/goldrails at c468c82204cf3acb20821cf41df17e0d4ead9e78. Every row of release v1.3 (release sha 818c9e00f9f8, 8807 rows) ships with its text, context, labels and span annotations. RIGHTS.md records the basis for publishing the sources that earlier shipped without text. [gold]rails measures guardrails on six capabilities: harmful… Publicly accessible other [View dataset](https://savrn.com/datasets/goldrails) Dataset ### [heron](https://savrn.com/datasets/heron) [Le Xuan Trang](https://savrn.com/model-publishers/trangle94714) Publicly accessible [View dataset](https://savrn.com/datasets/heron) Dataset ### [persona-bias-outputs-20260914](https://savrn.com/datasets/persona-bias-outputs-20260914) [Persona Bias MI](https://savrn.com/model-publishers/personabias) Publicly accessible [View dataset](https://savrn.com/datasets/persona-bias-outputs-20260914) Dataset ### [rlbench_unseen_tasks_512_aug](https://savrn.com/datasets/rlbench-unseen-tasks-512-aug) [Tingting Du](https://savrn.com/model-publishers/tingtingdu) This repository contains the complete rlbenchunseentasks512aug dataset. The original directory tree is stored losslessly as one uncompressed tar shard per RLBench task under archives/. Extract all shards into a dataset directory: The generation-only texturepool and the separate mixtureroot datasets are not required to read or train on this dataset and are intentionally excluded. Publicly accessible [View dataset](https://savrn.com/datasets/rlbench-unseen-tasks-512-aug) Dataset · Tabular classification ### [austin-software-engineer-jobs](https://savrn.com/datasets/austin-software-engineer-jobs) [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 generation, labor market intelligence, and compliance verification. Clean structured extract of active software engineering, full stack, and AI developer job listings in the Austin, Texas metro area. Includes canonical job URLs, company names, employer ratings, location tags, salary estimates, raw posting age (e.g. 24h, 3d), and normalized estimated posting dates. Generated via Apify Actor captainhandsome/glassdoor-jobs-scraper. - jobtitle: (e.g. Entry-level Software Developer) - joburl: (e.g.… Publicly accessible mit n<1K [View dataset](https://savrn.com/datasets/austin-software-engineer-jobs) Dataset ### [kelp](https://savrn.com/datasets/kelp) [Kathleen Mae Jimenez](https://savrn.com/model-publishers/kathleenjimenez75074) Publicly accessible [View dataset](https://savrn.com/datasets/kelp) Dataset ### [magma](https://savrn.com/datasets/magma) [Pham Gia Phuong](https://savrn.com/model-publishers/phuongpham90118) Publicly accessible [View dataset](https://savrn.com/datasets/magma) Dataset · Text classification ### [TRACE-OU-Bench](https://savrn.com/datasets/trace-ou-bench) [TRACE-OU](https://savrn.com/model-publishers/trace-ou) TRACE-OU-Bench is a sequential benchmark for ontology-update decisions under evolving ontology states. It contains 620 human-reviewed ontology-update proposals generated from public U.S. SEC 10-Q filings covering 45 U.S. companies, five sectors, and 2016–2026. The public release does not redistribute SEC filing text. Instead, each record retains SEC provenance, deterministic chunk identifiers, offsets, and SHA-256 hashes. reconstruction/traceoureconstructv11.py downloads the original filing from SEC EDGAR and deterministically reconstructs the source chunk. - Train (2016–2023): 350 proposals generated against O0; reviewed Train updates build O1. - Test (2025–2026): 150 proposals generated… Publicly accessible n<1K [View dataset](https://savrn.com/datasets/trace-ou-bench) Dataset ### [krea-2-models-backup](https://savrn.com/datasets/krea-2-models-backup) [Addictive Future](https://savrn.com/model-publishers/addictivefuture) Publicly accessible [View dataset](https://savrn.com/datasets/krea-2-models-backup) Dataset ### [ward-reverse-14b-ckpt](https://savrn.com/datasets/ward-reverse-14b-ckpt) [Rojas](https://savrn.com/model-publishers/dennis1315) Publicly accessible [View dataset](https://savrn.com/datasets/ward-reverse-14b-ckpt) Dataset ### [galaxy](https://savrn.com/datasets/galaxy) [Le Minh Phuong](https://savrn.com/model-publishers/phuongle35101) Publicly accessible [View dataset](https://savrn.com/datasets/galaxy) Dataset · Other ### [MADBench-full](https://savrn.com/datasets/madbench-full) [Anonymous](https://savrn.com/model-publishers/hww123) MADBench-Full contains 5,200 fully labeled execution traces from five LLMs solving synthetic escape-room tasks. The updated release adds paired tool-enabled and no-tool runs over two clue domains, making it possible to study tool selection, argument construction, tool execution failures, error recovery, and downstream error propagation in a controlled multi-agent system. Four models have 1,200 traces each: 2 clue domains × 2 tool modes × 3 temperatures × 100 rooms. claude-opus-4-8 has 400 traces at temperature 0.0 only. Each room embeds one or more reasoning problems inside escape-room clues: - gsm-hard uses challenging arithmetic word problems. - livecodebench uses chained Python programs.… Publicly accessible mit 1K