Datasets:

Languages:
Turkish
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
machine-generated
Source Datasets:
original
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
4f96e68
1 Parent(s): 7236c96

Replace YAML keys from int to str (#1)

Browse files

- Replace YAML keys from int to str (b52e1d624d75c98e0f952d42d22dc3cdf78e88e0)

Files changed (1) hide show
  1. README.md +34 -35
README.md CHANGED
@@ -17,7 +17,6 @@ task_categories:
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  - token-classification
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  task_ids:
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  - named-entity-recognition
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- paperswithcode_id: null
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  pretty_name: TurkishNer
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  dataset_info:
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  features:
@@ -29,44 +28,44 @@ dataset_info:
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  dtype:
30
  class_label:
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  names:
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- 0: architecture
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- 1: basketball
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- 2: book
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- 3: business
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- 4: education
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- 5: fictional_universe
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- 6: film
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- 7: food
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- 8: geography
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- 9: government
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- 10: law
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- 11: location
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- 12: military
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- 13: music
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- 14: opera
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- 15: organization
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- 16: people
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- 17: religion
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- 18: royalty
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- 19: soccer
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- 20: sports
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- 21: theater
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- 22: time
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- 23: travel
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- 24: tv
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  - name: ner_tags
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  sequence:
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  class_label:
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  names:
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- 0: O
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- 1: B-PERSON
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- 2: I-PERSON
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- 3: B-ORGANIZATION
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- 4: I-ORGANIZATION
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- 5: B-LOCATION
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- 6: I-LOCATION
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- 7: B-MISC
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- 8: I-MISC
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  splits:
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  - name: train
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  num_bytes: 177658278
17
  - token-classification
18
  task_ids:
19
  - named-entity-recognition
 
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  pretty_name: TurkishNer
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  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