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Datasets
All datasets matching “full”ngii-map-full-light
ngii-map-full-light
Light point/line extract from NGII 1/1000 topographic data for Korea.
Not for shipping into GitHub — use this Hugging Face dataset instead.
CRS
Korea_2000_Central_Belt_2010 projected meters [x, y]
Layers (per region under by_region/<region>/)
Layer
Description
C023
poles (전주/통신주)
C022
lights (가로등·보안등)
A002
roads (도로 중심선)
B001_tiny
building footprints <25 m² as centroids
B002
lines (구분/재질 라인)
Also:… See the full description on the dataset page: https://huggingface.co/datasets/SKPark1/ngii-map-full-light.latent_v1_fullrun_alpha3_10latent_v1_fullrun_alpha3_04Shamela4_Full_DB
Shamela 4 — Full Islamic Library Corpus
A complete extraction of al-Maktaba al-Shamela (الشاملة) v4, containing 8,589 books across 40 categories of classical Islamic sciences. Extracted from the original Lucene + Sqlite Shamela DB on 2026-04-26 with ~7.6 million pages and ~19 GB of Arabic text.
Dataset Structure
stage0_raw/
├── _meta/ # Cross-cutting metadata (Parquet + JSONL)
│ ├── extraction_manifest.json # Global extraction record
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/AuthenticIlm/Shamela4_Full_DB.latent_v1_fullrun_alpha3_08yelp_review_full
Dataset Card for YelpReviewFull
Dataset Summary
The Yelp reviews dataset consists of reviews from Yelp.
It is extracted from the Yelp Dataset Challenge 2015 data.
Supported Tasks and Leaderboards
text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment.
Languages
The reviews were mainly written in english.
Dataset Structure
Data Instances
A… See the full description on the dataset page: https://huggingface.co/datasets/Yelp/yelp_review_full.
