Datasets:

Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
albertvillanova HF staff commited on
Commit
02b65ac
1 Parent(s): d80ee8d

Delete legacy dataset_infos.json

Browse files
Files changed (1) hide show
  1. dataset_infos.json +0 -60
dataset_infos.json DELETED
@@ -1,60 +0,0 @@
1
- {
2
- "default": {
3
- "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",
4
- "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",
5
- "homepage": "https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus",
6
- "license": "",
7
- "features": {
8
- "token": {
9
- "dtype": "string",
10
- "_type": "Value"
11
- },
12
- "ner_tag": {
13
- "names": [
14
- "Allah",
15
- "Book",
16
- "Clan",
17
- "Crime",
18
- "Date",
19
- "Day",
20
- "Hell",
21
- "Loc",
22
- "Meas",
23
- "Mon",
24
- "Month",
25
- "NatOb",
26
- "Number",
27
- "O",
28
- "Org",
29
- "Para",
30
- "Pers",
31
- "Prophet",
32
- "Rlig",
33
- "Sect",
34
- "Time"
35
- ],
36
- "_type": "ClassLabel"
37
- }
38
- },
39
- "builder_name": "parquet",
40
- "dataset_name": "caner",
41
- "config_name": "default",
42
- "version": {
43
- "version_str": "1.1.0",
44
- "major": 1,
45
- "minor": 1,
46
- "patch": 0
47
- },
48
- "splits": {
49
- "train": {
50
- "name": "train",
51
- "num_bytes": 5095617,
52
- "num_examples": 258240,
53
- "dataset_name": null
54
- }
55
- },
56
- "download_size": 1459014,
57
- "dataset_size": 5095617,
58
- "size_in_bytes": 6554631
59
- }
60
- }