# Datasets, Page 72 of 132 Source: https://savrn.com/datasets/page/72 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 ### [tactile_data_qc](https://savrn.com/datasets/tactile-data-qc) [Qqyang](https://savrn.com/model-publishers/qqyang) Publicly accessible [View dataset](https://savrn.com/datasets/tactile-data-qc) Dataset · Image classification ### [COCO_val14_160x120_small](https://savrn.com/datasets/coco-val14-160x120-small) [Omnivision](https://savrn.com/model-publishers/ovt-npu) This dataset is a customized subset of the Visual Wake Words (VWW) dataset, specifically optimized for downstream TinyML applications. Visual Wake Words represents a common micro-controller use case: determining whether a person is present in the frame (a "wake word" for vision applications). VWW dataset is entirely derived from the Microsoft COCO 2014/2017 dataset splits, filtered and re-labeled into a binary classification task. This dataset features a split-licensing structure inheriting from its upstream source, MS COCO: 1. Annotations: Any new or modified annotations, labels, and bounding boxes created for this project are released under the Creative Commons Attribution 4.0… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/coco-val14-160x120-small) Dataset ### [dawn](https://savrn.com/datasets/dawn) [Hoang Hong Linh](https://savrn.com/model-publishers/linhhoang82388) Publicly accessible [View dataset](https://savrn.com/datasets/dawn) Dataset ### [responses-dataset](https://savrn.com/datasets/responses-dataset) [Uyangoda](https://savrn.com/model-publishers/hasandi) Publicly accessible [View dataset](https://savrn.com/datasets/responses-dataset) Dataset ### [tectonic](https://savrn.com/datasets/tectonic) [Raymond Charles Allen](https://savrn.com/model-publishers/raymondcallen4043) Publicly accessible [View dataset](https://savrn.com/datasets/tectonic) Dataset · Speech recognition ### [dhravani-IIT_Guwahati-test](https://savrn.com/datasets/dhravani-iit-guwahati-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-iit-guwahati-test) Dataset ### [petal](https://savrn.com/datasets/petal) [Ly Thanh Trang](https://savrn.com/model-publishers/trangly14231) Publicly accessible [View dataset](https://savrn.com/datasets/petal) Dataset ### [chestnut](https://savrn.com/datasets/chestnut-2) [Ngo Duc Dat](https://savrn.com/model-publishers/datngo34013) Publicly accessible [View dataset](https://savrn.com/datasets/chestnut-2) Dataset · Other ### [tennis-3d-synthetic](https://savrn.com/datasets/tennis-3d-synthetic) [Neil](https://savrn.com/model-publishers/n-il) This repository currently contains a bounded storage-format qualification, not a completed training dataset. No production release is complete or ready for use. The qualification lives on branch qualification/s02-format-v2, under qualification/s02-format-v2/. Its manifest.incomplete.json explicitly records state: incomplete. The qualification converts six existing simulated rallies into one numerical Parquet shard without resimulation. It contains 12 views and 2,503 view frames: train 4 rallies / 8 views / 1,218 frames; validation 1 / 2 / 1,080; test 1 / 2 / 205. These are historical development fixtures, not a new production split. Do not use them as a production evaluation benchmark. The… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/tennis-3d-synthetic) Dataset ### [mesh-1t-prod-mix](https://savrn.com/datasets/mesh-1t-prod-mix) [Chutes](https://savrn.com/model-publishers/chutesai) Canonical archive of the parallax 1T-token production curriculum, phase-split, EXACTLY as prod runs it. NOT a text dataset: artifacts are flat llama3 uint32 token bins (EOS 128001 between docs), val bins (doc-level 1/100), plus per-pool mixmanifest.json / poolconfig.json provenance and SHA256SUMS. Files >45GB are stored as.part-NNN chunks (cat name.part- > name to reassemble; per-part sha256 in CHUNKS.sha256). (4a) -> 5e6-8e6 or YaRN (4b). Phase-4 replay packed with document-boundary masking ON. Realized per-source shares, exact token counts, floors, sampling seeds, decontamination (13-gram, stride 4) and every assembly decision/deviation: see MANIFEST.json and phase34mixmanifest.json.… Access requested at publisher other [View dataset](https://savrn.com/datasets/mesh-1t-prod-mix) Dataset ### [scooter](https://savrn.com/datasets/scooter) [Ngo Minh Khanh](https://savrn.com/model-publishers/khanhngo95507) Publicly accessible [View dataset](https://savrn.com/datasets/scooter) Dataset · Text generation ### [R2E-Gym](https://savrn.com/datasets/r2e-gym) [Loongsage](https://savrn.com/model-publishers/loongsage) This repository contains three environment variants of Each variant contains the same 4,578 tasks in five Parquet shards, with the original 14-column schema and task order. Only dockerimage is replaced with the corresponding public image containing the selected agent. Images are hosted in loongsage/r2e-gym on Docker Hub. Choose one configuration for a run; combining configurations repeats the same tasks. The task description is problemstatement. The original prompt column is the meta-prompt used to generate the task, and expectedoutputjson contains the original grading information. All original columns are retained, including commit contents, execution results, modified files and entity… Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/r2e-gym) Dataset ### [leopard](https://savrn.com/datasets/leopard) [Bui Thi Thinh](https://savrn.com/model-publishers/thinhbui9247) Publicly accessible [View dataset](https://savrn.com/datasets/leopard) Dataset ### [swift](https://savrn.com/datasets/swift) [Pham Huu Thinh](https://savrn.com/model-publishers/thinhpham75659) Publicly accessible [View dataset](https://savrn.com/datasets/swift) Dataset ### [meteor](https://savrn.com/datasets/meteor) [Vo Gia Thao](https://savrn.com/model-publishers/thaovo82826) Publicly accessible [View dataset](https://savrn.com/datasets/meteor) Dataset ### [pleiades](https://savrn.com/datasets/pleiades) [Hoang Gia Thao](https://savrn.com/model-publishers/thaohoang13107) Publicly accessible [View dataset](https://savrn.com/datasets/pleiades) Dataset ### [tide](https://savrn.com/datasets/tide) [Phan Thanh Ngan](https://savrn.com/model-publishers/nganphan67576) Publicly accessible [View dataset](https://savrn.com/datasets/tide) Dataset ### [astro](https://savrn.com/datasets/astro) [Do Xuan Thinh](https://savrn.com/model-publishers/thinhdo23273) Publicly accessible [View dataset](https://savrn.com/datasets/astro) Dataset · Speech recognition ### [dhravani-IGDTUW_Delhi-test](https://savrn.com/datasets/dhravani-igdtuw-delhi-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-igdtuw-delhi-test) Dataset · Object detection ### [fixhome-devices](https://savrn.com/datasets/fixhome-devices) [Pham Duc Toan](https://savrn.com/model-publishers/phamductoan3883) Object-detection dataset of 22 household appliances, built to train the detector of FixHome, a SEP490 capstone project at FPT University: a marketplace that connects customers with home-repair technicians and gives a preliminary, AI-suggested diagnosis from a photo. The detector (YOLO11s) names the appliance and draws its box; the box crops the photo for a vision-language model further down the pipeline. The dataset leans towards appliances as they look in Vietnamese homes. Public datasets mostly show Western hardware: US and EU wall sockets where Vietnam uses two-pin universal sockets, built-in ranges where Vietnam uses countertop gas burners, front-loading washers where Vietnam is largely… Publicly accessible other 10K