# Datasets, Page 53 of 132 Source: https://savrn.com/datasets/page/53 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 ### [wan22-processed-clips](https://savrn.com/datasets/wan22-processed-clips) [Nzc](https://savrn.com/model-publishers/nzc-415) Publicly accessible [View dataset](https://savrn.com/datasets/wan22-processed-clips) Dataset ### [ane-rooflines](https://savrn.com/datasets/ane-rooflines) [ANEForge](https://savrn.com/model-publishers/aneforge) Cross-Apple-Silicon performance and fp16-correctness measurements for the Apple Neural Engine (ANE), collected with ANEForge. Each row is one machine (grouped by hardware hash; identical silicon in different chassis stays distinct by model identifier). ranks these machines by peak GEMM, perf-per-watt, and decode throughput. These are community-contributed submissions mirrored from the public in the repo. The full per-size sweeps live in raw/; rooflines.json is the flattened headline table; ROOFLINES.md is the human-readable version. - peakfp16gemmtflops is the most robust cross-chip number. Bandwidth/ridge come from a streaming sweep and are more dispatch-overhead-sensitive on smaller/older… Publicly accessible mit n<1K [View dataset](https://savrn.com/datasets/ane-rooflines) Dataset ### [retail](https://savrn.com/datasets/retail) [Leibler](https://savrn.com/model-publishers/leibler) An executable Environment for tool-using agents, rebuilt from recorded traces. Release: 100.0% (223 of 223) of its Tasks replay as recorded; a release needs 90%. fetch checks the content hash; --revision fetches an earlier publish. harbor/ holds 186 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. 223 Tasks over 16 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 return the laptop order for a full refund because… Publicly accessible mit [View dataset](https://savrn.com/datasets/retail) Dataset ### [gamedoctor-repair-corpus](https://savrn.com/datasets/gamedoctor-repair-corpus) [Wenyi Wu](https://savrn.com/model-publishers/wenyiwu0111) Publicly accessible [View dataset](https://savrn.com/datasets/gamedoctor-repair-corpus) Dataset ### [trackio-dataset](https://savrn.com/datasets/trackio-dataset-2) [James](https://savrn.com/model-publishers/jtl11) Publicly accessible [View dataset](https://savrn.com/datasets/trackio-dataset-2) Dataset · Time series forecasting ### [ast-spacemobile-fleet-data](https://savrn.com/datasets/ast-spacemobile-fleet-data) [Julien Simon](https://savrn.com/model-publishers/juliensimon) Part of a dataset collection on Hugging Face. Daily health snapshots of the AST SpaceMobile BlueBird direct-to-cell satellite constellation, derived from CelesTrak GP (General Perturbations) data. Tracks the BlueWalker 3 prototype and all production BlueBird satellites as the constellation is built out. AST SpaceMobile is developing a unique LEO constellation designed to provide broadband connectivity directly to ordinary unmodified smartphones, without special satellite-phone hardware. The BlueBird satellites use unusually large phased-array antennas (up to 700 m2) to close the link budget with handset-sized antennas on the ground. The BlueWalker 3 prototype launched in 2022, the first… Publicly accessible other n<1K [View dataset](https://savrn.com/datasets/ast-spacemobile-fleet-data) Dataset ### [faers_bronze_rpsr](https://savrn.com/datasets/faers-bronze-rpsr) [João Tiago Viegas](https://savrn.com/model-publishers/jtviegas) Publicly accessible [View dataset](https://savrn.com/datasets/faers-bronze-rpsr) Dataset · Text classification ### [ai-agent-security-incidents](https://savrn.com/datasets/ai-agent-security-incidents) [Legion 0](https://savrn.com/model-publishers/gemmozero) A structured, machine-readable database of 1330 confirmed AI agent security incidents, collected and classified automatically. Every time an AI agent causes unintended harm — escaping a sandbox, exploiting an API, taking unauthorized actions, exfiltrating data — this database captures it. This is not a list of theoretical risks. Every entry describes something that actually happened, with a verifiable source URL. Data is collected daily from 30+ public sources including: - Wired, Ars Technica, The Hacker News, SecurityWeek - arXiv security papers 1. Automated collection from public sources via APIs and RSS feeds 2. AI classification using Llama 3.1 8B (local, on-device) 3. Structured… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/ai-agent-security-incidents) Dataset ### [benchmark](https://savrn.com/datasets/benchmark) [Bluefish](https://savrn.com/model-publishers/bluefish2333) Benchmark datasets Preprocessed, canonically-laid-out copies of the datasets used by this repo's BenchmarkEvaluator (see docs/benchmark/evaluatorquickstart.md), packaged for direct download instead of re-running every scripts/download/ + scripts/preprocess/ step yourself. Every dataset folder below is redistributed under its own original source's license -- see that folder's own LICENSENOTICE.md. This repository's own license does not override those terms. Included Publicly accessible [View dataset](https://savrn.com/datasets/benchmark) Dataset ### [meta-osworld-cua](https://savrn.com/datasets/meta-osworld-cua) [Turing Inc.](https://savrn.com/model-publishers/turingenterprises) meta-osworld-cua Private mirror of Meta/Turing OSWorld CUA deliveries using the S3 path layout. Layout licensed/ dataset=osworldrolloutdelivery/delivery=YYYY-MM-DD/{taskid}/ dataset=osworldtaskdelivery/delivery=YYYY-MM-DD/{taskpython,assets}/ dataset=osworldgoldensolutiondelivery/delivery=YYYY-MM-DD/{taskid}/ Access requested at publisher other [View dataset](https://savrn.com/datasets/meta-osworld-cua) Dataset ### [TCGA-OncoTree_Embedding](https://savrn.com/datasets/tcga-oncotree-embedding) [Than Minh](https://savrn.com/model-publishers/thanminh01) Publicly accessible cc-by-nc-nd-4.0 [View dataset](https://savrn.com/datasets/tcga-oncotree-embedding) Dataset ### [ccimagio](https://savrn.com/datasets/ccimagio) [Chan](https://savrn.com/model-publishers/iamc0729) Publicly accessible [View dataset](https://savrn.com/datasets/ccimagio) Dataset ### [gated-lora-experiments](https://savrn.com/datasets/gated-lora-experiments) [Helain ZIMMERMANN](https://savrn.com/model-publishers/helain) This dataset stores LoRA expert pools and gating network weights from multi-task fine-tuning experiments on various base models (Phi-2, Gemma-2, Llama-3.2, Pythia-410M, Qwen2.5-0.5B, SmolLM-360M). - legacy/{model}/{runname}/ — runs from the original experimental campaign (2024-12 → 2025-01), with checkpoints at steps 500, 1000,..., finalmodel and bestmodel. - New baseline + Gated runs (2026-05+) are uploaded at the top level following the paper-001 pipeline convention. WIP — Master's thesis research artifacts. Publicly accessible [View dataset](https://savrn.com/datasets/gated-lora-experiments) Dataset ### [EMP3_PKL_Files](https://savrn.com/datasets/emp3-pkl-files) [Bhanu Chouhan](https://savrn.com/model-publishers/bhanuchouhan) Publicly accessible mit [View dataset](https://savrn.com/datasets/emp3-pkl-files) Dataset · Text to speech ### [archive-b9150135daec](https://savrn.com/datasets/archive-b9150135daec) [Jerry](https://savrn.com/model-publishers/jerryzju) A public snapshot of conversational speech research code, synthetic speech data, model checkpoints, manuscripts, and evaluation records. Upload is in progress. Volumes preserve directory paths beneath a chosen restore root. Runtime environments, credentials and Git internals are excluded. Files held for content review are not yet included. Existing upstream licenses still apply; no new blanket license is asserted. Each volume is an independent tar.zst archive and includes a manifest with per-file SHA256 hashes. Verify archive hashes from the upload index, then extract into an empty restore directory. Do not extract directly over an existing installation. Absolute filesystem links require… Publicly accessible [View dataset](https://savrn.com/datasets/archive-b9150135daec) Dataset · Text generation ### [ember-corpus](https://savrn.com/datasets/ember-corpus) [Hyun Jun Han](https://savrn.com/model-publishers/wordingone) The off-device mirror of the Ember training corpus: what was acquired, what was admitted, and what was tokenized. It exists so that a single disk failure on the training host does not destroy the corpus and every token derived from it. The top level is the stage of the pipeline, and every artifact sits at exactly one stage. tokens/ is keyed by tokenizer digest and then dataset-version digest, so shards produced under a different tokenizer or a different admitted set never share a directory. The shard ledger sits beside the shards it describes, because shards without their ledger are bytes with no provenance. This dataset is not under a single licence. Redistribution obligations vary by… Publicly accessible other [View dataset](https://savrn.com/datasets/ember-corpus) Dataset ### [ibex](https://savrn.com/datasets/ibex) [Ho Xuan Cuong](https://savrn.com/model-publishers/cuongho1053) Publicly accessible [View dataset](https://savrn.com/datasets/ibex) Dataset ### [negative-of-the-negative](https://savrn.com/datasets/negative-of-the-negative) [Lee Sharks](https://savrn.com/model-publishers/leesharks) all things are now lawful to you in jack feist What this is. A dataset of edges, keyed by the general concept a composer would receive without the archive's name attached. Each row joins one claim or function of the Crimson Hexagonal Archive (alexanarch.org) to a general concept outside the archive — operative semiotics, Sappho 31, Sophistical Refutations 183b34, model collapse, the LHC trigger, the content-derived identifier — and states the claim at that concept with the archive as provenance, the distinction the claim carries, what stands at the concept when the archive is absent, and the measurements that show which of those a composition surface produced. It is the inverse projection… Publicly accessible cc-by-4.0 n<1K [View dataset](https://savrn.com/datasets/negative-of-the-negative) Dataset ### [canonical-pores](https://savrn.com/datasets/canonical-pores) [Substrate Commons](https://savrn.com/model-publishers/substratecommons) Replay packs (.rpk) built with dmipysim: one converged Monte-Carlo walk each, stored so any acquisition can be replayed on it. Load one with ReplayPack.load("hf://SubstrateCommons/canonical-pores/ "); the manifest (manifest.json) holds the sha256 every load is checked against. This file is rendered from the manifest by dmipysim.replay.publish. analytic/sphere Fick RHJ (2026), the canonical pores family of replay packs, SubstrateCommons Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/canonical-pores) Dataset ### [chinese-jianpu-corpus](https://savrn.com/datasets/chinese-jianpu-corpus) [Kokoro Qin](https://savrn.com/model-publishers/caesium-132) 简谱(jianpu)旋律语料: 11495 首, 一行一首。每一首是逐音符的旋律序列, 按 jianpu-ly 的记法编码, 可直接做检索 / 训练 / 对齐。 曲名只是检索用的元数据, 它可能是中文、英文或日文; 这不影响 score 字段的内容。 skill/jianpu-melody-lookup/ 是一个开箱即用的查询技能: 给一段旋律(简谱唱名数字串), 在全部 11495 首里找出它最可能是哪首歌。纯离线, 只依赖本仓库的 data.jsonl + numpy。 纯凭记忆"): 11 音 Top-1 41.2% / 15 音 48.8%。两个口径的落差说明瓶颈是"片段是否独特", 不是匹配算法 —— 所以并列时请补长片段, 或多给几段(lookup.py 片段1 片段2)。 五线谱有通用的机器可读格式(MusicXML / MEI / ABC / MIDI), 简谱没有—— 简谱在网上的存在形式基本就是图片: 排版工具有(jianpu-ly 等), 但交换格式没有。 所以这不是"又一份乐谱文本", 而是把"只有图片的简谱"转成 token 序列: score 字段就是那套逐音符记法, source 字段逐首保留原图出处, 可回溯核对。 曲谱均来自公开曲谱站(中国曲谱网 qupu123 / 歌谱简谱网 jianpu.cn / 简谱之家 jianpujia), source 字段逐首标注站内 id, 便于回溯。 status: ocr 11457 首(由图片机器转写) / ok 38 首(人工校对过) sourcehost: qupu123 5525 /… Publicly accessible other 10K