Datasets:

Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
caner / dataset_infos.json
system's picture
system HF staff
Update files from the datasets library (from 1.3.0)
be43e59
{"default": {"description": "Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities.\n", "citation": "@article{article,\nauthor = {Salah, Ramzi and Zakaria, Lailatul},\nyear = {2018},\nmonth = {12},\npages = {},\ntitle = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},\nvolume = {96},\njournal = {Journal of Theoretical and Applied Information Technology}\n}\n", "homepage": "https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus", "license": "", "features": {"token": {"dtype": "string", "id": null, "_type": "Value"}, "ner_tag": {"num_classes": 21, "names": ["Allah", "Book", "Clan", "Crime", "Date", "Day", "Hell", "Loc", "Meas", "Mon", "Month", "NatOb", "Number", "O", "Org", "Para", "Pers", "Prophet", "Rlig", "Sect", "Time"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "caner", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5095721, "num_examples": 258240, "dataset_name": "caner"}}, "download_checksums": {"https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus/archive/master.zip": {"num_bytes": 17063406, "checksum": "b4f6bbcc1074dfb9a6cf53fbbd5825a8eafbff842cd89ed20ab33f5b3ef6cddb"}}, "download_size": 17063406, "post_processing_size": null, "dataset_size": 5095721, "size_in_bytes": 22159127}}