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Datasets:
erayyildiz
/
turkish_ner

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Turkish
Size:
100K<n<1M
ArXiv:
License:
Dataset card Files
xet
 Community
2

Replace YAML keys from int to str

#1
by albertvillanova HF Staff - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+34
-35
Files changed (1) hide show
  1. README.md +34 -35
README.md CHANGED
@@ -17,7 +17,6 @@ task_categories:
17
  - token-classification
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  task_ids:
19
  - named-entity-recognition
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- paperswithcode_id: null
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  pretty_name: TurkishNer
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  dataset_info:
23
  features:
@@ -29,44 +28,44 @@ dataset_info:
29
  dtype:
30
  class_label:
31
  names:
32
- 0: architecture
33
- 1: basketball
34
- 2: book
35
- 3: business
36
- 4: education
37
- 5: fictional_universe
38
- 6: film
39
- 7: food
40
- 8: geography
41
- 9: government
42
- 10: law
43
- 11: location
44
- 12: military
45
- 13: music
46
- 14: opera
47
- 15: organization
48
- 16: people
49
- 17: religion
50
- 18: royalty
51
- 19: soccer
52
- 20: sports
53
- 21: theater
54
- 22: time
55
- 23: travel
56
- 24: tv
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  - name: ner_tags
58
  sequence:
59
  class_label:
60
  names:
61
- 0: O
62
- 1: B-PERSON
63
- 2: I-PERSON
64
- 3: B-ORGANIZATION
65
- 4: I-ORGANIZATION
66
- 5: B-LOCATION
67
- 6: I-LOCATION
68
- 7: B-MISC
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- 8: I-MISC
70
  splits:
71
  - name: train
72
  num_bytes: 177658278
 
17
  - token-classification
18
  task_ids:
19
  - named-entity-recognition
 
20
  pretty_name: TurkishNer
21
  dataset_info:
22
  features:
 
28
  dtype:
29
  class_label:
30
  names:
31
+ '0': architecture
32
+ '1': basketball
33
+ '2': book
34
+ '3': business
35
+ '4': education
36
+ '5': fictional_universe
37
+ '6': film
38
+ '7': food
39
+ '8': geography
40
+ '9': government
41
+ '10': law
42
+ '11': location
43
+ '12': military
44
+ '13': music
45
+ '14': opera
46
+ '15': organization
47
+ '16': people
48
+ '17': religion
49
+ '18': royalty
50
+ '19': soccer
51
+ '20': sports
52
+ '21': theater
53
+ '22': time
54
+ '23': travel
55
+ '24': tv
56
  - name: ner_tags
57
  sequence:
58
  class_label:
59
  names:
60
+ '0': O
61
+ '1': B-PERSON
62
+ '2': I-PERSON
63
+ '3': B-ORGANIZATION
64
+ '4': I-ORGANIZATION
65
+ '5': B-LOCATION
66
+ '6': I-LOCATION
67
+ '7': B-MISC
68
+ '8': I-MISC
69
  splits:
70
  - name: train
71
  num_bytes: 177658278