AI Training Datasets

Persian call-centre ASR silver set: the ErfanRou/callcc-ft150-soniox schema plus two auxiliary columns. Machine-labelled, not ground truth. Built by callcc-silver-5k/sonioxpipeline.py from markmuller/call-center-prod-data: 8 kHz stereo telephony split client-side into agent = channel 0 and customer = channel 1, each channel transcribed separately by Soniox stt-async-v5, words packed into 5-28 s windows (~15 s mean, natural pauses kept, short backchannels kept and padded with their own line silence), cut in silence and stored as 16 kHz mono FLAC. text — training target: Soniox words of the window, normalised (digits→words, Persian ی/ک, no punctuation, ZWNJ kept). textraw — the same words as…

Dataset

Aura.Xlsl

Seriki Walter yakub

Aura File Ecosystem — v0.1 Interactive drag-and-drop quantum circuit simulator with GPU-accelerated backend. - Drag-and-drop quantum gates (H, X, Y, Z, CNOT, TOFFOLI) - Fractional/negative amplitude support (Aura math integration) auraproject/ ├── data/ │ └── Aura.xlsx # your data hub ├── src/ │ ├── init.py │ ├── aipipeline.py # ML: regression/classification │ ├── quantumpipeline.py # Qiskit quantum circuits │ ├── lifespananalysis.py # survival curves, hazard ratios │ └── utils.py # helpers to load Excel ├── notebooks/ │ └── exploration.ipynb # experiments ├── requirements.txt └── main.py # orchestrator script…

Screenshots (frames) of real engineering software UIs, extracted from tutorial videos, for training a vision encoder that recognizes software interfaces across engineering domains. 4 software tools (of a 1386-tool master list), 420 UI frames (~0.1 GB so far), covering 4 engineering domains. - meta.json — software name, domain, category, vendor, source video id, resolution, frame counts - videoinfo.json — yt-dlp extraction info (video id, channel, duration, candidates) - frames/frame.jpg — JPEG q90 screenshots of the software UI - frames/frames.jsonl — per-frame quality stats (brightness, sharpness, edge density, timestamp) CAD/EDA/Mechanical, Data Science/ML/Analytics, Design/Graphics/3D…

First pass of the largest Slovak cities. Target: endomorphosis/ipfsslovakiamunicipallaws (new). IDs: sk-mun- - (obec code = ŠÚ SR municipality code from Wikidata P782/LAU, e.g. Bratislava 582000); article ids -art-. native-id = vzn- - from the official act number (Trnava, Košice: vzn-, these cities number acts continuously). The number is the act's own: Petržalka '10/20145' (register typo) → vzn-10-2015; Ružomberok register numbers 2/3/4-2022 differ from the numbers printed in the files, so the act's own number is used (extras.registernumber keeps the register's): file 03/2022 (pyrotechnics) → vzn-3-2022, 04/2022 → vzn-4-2022, 02/2022 → vzn-2-2022. A short text hash is appended only when…

Data tables for the MAUDE Signal Explorer, a browser-based research tool for the U.S. FDA MAUDE medical device adverse event reports. Built by Niaz Chalabianloo, Muanda Lab, Department of Physiology and Pharmacology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada. The page reads site/manifest.json, which lists every table and file. Open a fixed version with the address https://huggingface.co/datasets/Niazch/maude-explorer-data/resolve/data-2026-09-30-v0.6/. Source: U.S. Food and Drug Administration, MAUDE download files (public data), cleaned, deduplicated and compressed by the MAUDE Signal Explorer pipeline. This dataset is not affiliated with or…

Dataset · Robotics

SlugTrails

Yunqian Cheng

SlugTrails is an egocentric floor-plan localization benchmark for large indoor buildings. This Hugging Face package (slugtrails-1.0) is the canonical public data blob: anonymized RGB, Project Aria MPS trajectories, floor-plan–aligned ground truth, CAD-derived maps, and official evaluation / finetune splits. manifests/ holds our official splits for the paper protocol (SHA-256 digests in RELEASE.json). You may define your own sampling if you prefer; numbers comparable to the paper should use these manifests. - 3 campus buildings / 6 floors — floor-plan outline 22 089 m², circulation space 5317 m² (same figures as the paper) - 6 Aria sessions (~30 Hz RGB); trajectory length ≈ 1.80 km (≈…

Derived from the public raw dataset RohanNaga/doom-dense-arnold: every tic of each episode encoded once through a frozen Stable Diffusion autoencoder, stored as one.npy per episode plus a.npz sidecar with the per-tic metadata. Released so that a training run can start without re-encoding, and so that latents are reproducible bit for bit: latent bytes depend on the autoencoder, its scaling, the precision and the encode batch size, all recorded in encodemeta.json inside each folder. Frames are 320x240 padded to 320x256 with mid-gray before encoding; decoders crop the padding ([:,:,:240] in pixels, the last row block in latents). Encoding is bf16 autocast at the batch size named in…

Kenyan county legislation (county Acts and Legal Notices), official sources only: Kenya Law, the National Council for Law Reporting (new.kenyalaw.org county legislation), and, for counties Kenya Law does not cover, the county assembly's own website. - Law ids are slugs of the Akoma Ntoso FRBR work; where slugging would be lossy a short hash suffix (-x ) is added. - robots.txt honoured on every hop (5 s crawl-delay; /search/ and /api/ not used on Kenya Law).