AI Training Datasets

最后更新 (last updated): 2026-10-17 11:32 CST (UTC+8) 试点年份 (pilot year) 2020；区域 (region) 55–84°N, 80–10°W 与 ERA5 TCWV、IGRA2 的对比结果在 12 个月处理完后生成于 processed/comparison/（目前为基于 NGL 自带 PWV 的临时对比 provisional）。 Hourly GNSS precipitable water vapour (PWV) for ~119 GNSS stations in Greenland, Iceland and the Canadian Arctic (55–84°N, 80–10°W), derived from Nevada Geodetic Laboratory 5-min zenith total delays, with ERA5-based ZHD (Saastamoinen) and Tm, and comparisons against ERA5 TCWV and IGRA2 radiosonde PW. See METHODS.md. - raw/ngl/ NGL IGS20 tropo yearly zips (+ station list files), raw/era5/ monthly ERA5 NetCDF (single + pressure levels), raw/igra2/ IGRA2 data-por / derived-por zips. Full manifest…

TreeUQ is a large-scale Earth observation benchmark for tree species mapping and tree structure estimation (height, count, density, variance) over Bavaria, Germany. Each 128×128 pixel patch (10 m resolution, EPSG:25832) contains: - Sentinel-2 — 4 seasonal composites (spring/summer/autumn/winter 2025), 10 bands - Sentinel-1 GRD — 4 seasonal composites, VV + VH polarisation, linear gamma-0 - Tree species raster — Bavarian species classification aligned to the 10 m grid - Supervision labels — per-pixel height, count, density from the Bavarian Einzelbäume individual-tree inventory - DOP20 aerial imagery (optional) — 20 cm RGB orthophotos as 6400×6400 chips Splits (spatial blocks): train 31,806…

Dataset

Demo_Application_Data

MatrAIx

MatrAIx Demo Application Data Evaluation data is grouped first by product surface (Type), then by task. Each task owns its persona profiles and one or more model/provider artifact folders. The canonical task definitions and implementation source are maintained in the MatrAIx GitHub application/tasks directory. Tasks Task Type Domain Folder GitHub Task Candy Land price sensitivity Survey Commerce View folder View task Annual checkup habits Survey

Dataset

gold-analise-mercado-ti

Gian Pedro Rodrigues

Agregados prontos para consumo, derivados dos microdados públicos do CAGED e da RAIS (Ministério do Trabalho e Emprego), recortados em tecnologia por setor (CNAE) ou ocupação (CBO). É a camada que alimenta o dashboard. São os mesmos números da camada silver, já Localização é a do estabelecimento, não a do trabalho. A empresa de TI escolhe onde se registrar por causa do ISS. Barueri aparece com 200 vínculos de TI por mil habitantes; Guaraciaba (MG), com 10 mil habitantes, saiu de 1 vínculo em 2022 para 1.428 em 2023. A coluna da RAIS que resolveria isso, muntrab, vem como "não informado" em praticamente todos os registros. A remuneração tem teto de plausibilidade. A partir de 2023 a fonte…

Long-horizon game-playing trajectories with image observations, structured decisions, and tool calls. This repository combines two validated English SFT releases into one dataset. The training splits are assigned by whole game, with no game shared between splits. - sft/train.jsonl: 10,396 training records from 17 games. - sft/dev.jsonl: 1,813 validation records from 6 games. - sft/test.jsonl: 3,299 test records from 6 games. - sft/images/: 20,940 deduplicated images referenced by those records. - sft/images.jsonl and sft/manifest.json: image and release checksums, counts, and provenance. - raw/baseprimarysources.zip: source annotation directories and screenshots for the original release.…

Dataset · Text to speech

emilia-yodas-de-descriptions

Leonhard Behr

German in-the-wild speech (talk shows, interviews, podcasts, vlogs and other YouTube content) paired with its transcript, acoustic measurements, discrete German descriptor tags and, for female speakers, a free-text German description of the voice and recording conditions. The dataset is intended for training description-conditioned TTS models such as The data was built as part of research work. It is a random subset of the German part of Emilia-YODAS, processed until the female split reached about 350 hours. Both splits have the same columns; only the female split is described. The split a clip lands in is decided by a gender classifier (see Columns), not by human labels, so a small share…

Archives de produits de télédétection, mises à jour en continu. Source des données: EUMETNET OPERA, via le service Open Radar Data du projet RODEO (https://rodeo-project.eu/) — CC-BY 4.0. Attribution: « Données EUMETNET OPERA ».

Dataset · Speech recognition

Bagpiper_PreTrain_Data_Collection

ESPnet

Upload in progress. This repository is not yet complete and should not be used or cited until this notice is removed. Opus-compressed audio with rich captions and curation subset labels, in the archive layout the ESPnet speechlm dataloader reads directly. This is the compressed, directly trainable counterpart to which ships HuggingFace-style Parquet that the training code cannot load. each utterance carrying its rich caption as a plain string and its membership in the curation subsets (speechund, speechgen, soundund, soundgen, musicund, musicgen, plus the SFT-sized variants). An utterance belongs to zero, one or two of the base subsets. A full dataset card, per-dataset statistics and usage…

AeroVerse is distributed as original-format, self-contained aircraft records. Each record contains editable OpenVSP geometry, an OBJ mesh, a point cloud, parameter, performance, operating-condition, natural-language, and surface-field files, PNG views, and SVG drawings. manifest.csv locates each design in an archive; shardcatalog.csv describes the aircraft type and contents of every archive.