Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| { | |
| "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", | |
| "_type": "Value" | |
| }, | |
| "ner_tag": { | |
| "names": [ | |
| "Allah", | |
| "Book", | |
| "Clan", | |
| "Crime", | |
| "Date", | |
| "Day", | |
| "Hell", | |
| "Loc", | |
| "Meas", | |
| "Mon", | |
| "Month", | |
| "NatOb", | |
| "Number", | |
| "O", | |
| "Org", | |
| "Para", | |
| "Pers", | |
| "Prophet", | |
| "Rlig", | |
| "Sect", | |
| "Time" | |
| ], | |
| "_type": "ClassLabel" | |
| } | |
| }, | |
| "builder_name": "parquet", | |
| "dataset_name": "caner", | |
| "config_name": "default", | |
| "version": { | |
| "version_str": "1.1.0", | |
| "major": 1, | |
| "minor": 1, | |
| "patch": 0 | |
| }, | |
| "splits": { | |
| "train": { | |
| "name": "train", | |
| "num_bytes": 5095617, | |
| "num_examples": 258240, | |
| "dataset_name": null | |
| } | |
| }, | |
| "download_size": 1459014, | |
| "dataset_size": 5095617, | |
| "size_in_bytes": 6554631 | |
| } | |
| } |