AI Training Datasets

One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/. Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source. Countries: JP, US, GB, DE, FR, ES, IT, BR, MX, IN, ID, KR, TW, VN, TH, PH, TR, SA, EG, NG, ZA, KE, PL, NL, SE, AU, CA, AR, CO, CL. Agents and analysts keep re-scraping the same public endpoints every day. This dataset does it once, keeps the history, and gives it in one flat shape. GDELT data is free for any use with attribution to the GDELT Project. Google Trends, Apple, GitHub, Hugging Face, Steam and npm data are reproduced as published by their public endpoints; check each…

This public dataset contains 65,131 rendered counterfactual cases organized into 8,491 same-history action/future groups. Each case has 4 historical and 8 future CAMF0 frames plus WorldEngine metadata. Archives preserve complete pair groups. The audit bundle contains group JSON manifests, receipts, validation reports and the completion contract. Large generator-intermediate subset PKLs are intentionally excluded because the CAST paired-cache builder consumes the group JSON and rendered frames only. Download all files and run bash extractall.sh DESTINATION. The extraction script verifies every archive against SHA256SUMS first.

Dataset · Tabular regression

worldpop-jp-2026-01

Yui Matsumura

WorldPop's gridded population of Japan, 2015 to 2030, release R2025A: how many people live in every 100 m and every 1 km cell, by sex and five-year age band at 1 km, and the degree of urbanisation of every cell. 1,024 rasters as WorldPop published them, and the same rasters as Cloud Optimized GeoTIFF. CC BY 4.0. Cite each product by its DOI (see Licence). WorldPop's server sends whole files and ignores HTTP Range requests, at about 400 KB/s a connection, and its GeoTIFFs are striped. To look at one city you fetch the country. The COGs here are tiled at 512 with overviews, and the Hub answers Range requests, so GDAL's /vsicurl/ or rasterio can read a window. The files of a release are not…

Dataset · Robotics

xarm7_pick_orange_ball_large

National Engineering Research Center for Big Data Software

Apache TsFile version of zwonzis/xarm7-pick-orange-ball-large. A UFactory xArm7 dataset for the task "pick up the orange ball and put it in the cyan bowl". Each frame records the 8-D arm state and the 8-D commanded action. Task (taskindex 0): "pick up the orange ball and put it in the cyan bowl". - Time (INT64, milliseconds) - per-episode sample time, round(timestamp 1000) in milliseconds (the source timestamp column equals Time / 1000 seconds and is therefore not stored separately). - episodeindex, taskindex (TAG) - device dimensions identifying one demonstration episode and one task; query a single episode with WHERE episodeindex=0. - observationstate0..7, action0..7 (FIELD) - FLOAT 8-D…

Dataset

yubi-corl2026-umi-arena-02-2k1

AIRoA

Part 2 of 5 of the competition data release yubi-corl2026-umi-arena for The UMI Arena (CoRL 2026), organized by the AI Robot Association (AIRoA). All five parts are covered by the same Limited-Access Dataset Terms of Use; the release identifier in the terms, yubi-corl2026-umi-arena, refers to all five repositories. The center camera video is not included in this release. Access is limited to registered participants of The UMI Arena policy competition: 1. Register for the competition and submit the NDA via the 2. Request access on this page with the same Hugging Face account; requests are approved manually after registration is verified. 3. Questions: [email protected]. source footage were…

Dataset

yubi-corl2026-umi-arena-03-2k0

AIRoA

Part 3 of 5 of the competition data release yubi-corl2026-umi-arena for The UMI Arena (CoRL 2026), organized by the AI Robot Association (AIRoA). All five parts are covered by the same Limited-Access Dataset Terms of Use; the release identifier in the terms, yubi-corl2026-umi-arena, refers to all five repositories. The center camera video is not included in this release. Access is limited to registered participants of The UMI Arena policy competition: 1. Register for the competition and submit the NDA via the 2. Request access on this page with the same Hugging Face account; requests are approved manually after registration is verified. 3. Questions: [email protected]. source footage were…

Dataset · Speech recognition

zc

Aat

English TTS（語音合成）訓練集 ASR（語音識別）訓練集或測試集 TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaaitts 所有文本都根據 https://jyutping.org/blog/typo/ 同 https://jyutping.org/blog/particles/ 規範用字。 所有音頻源都存放喺/source，為方便直接用作訓練數據，切分後嘅音頻都放喺 opus/ 所有 opus 音頻皆為