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Datasets:
elenanereiss
/
german_legal_entity_recognition

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
German
Size:
n<1K
License:
Dataset card Files Community
5
lhoestq HF staff commited on
Commit
43967a3
•
1 Parent(s): f1fee72

add dataset_info in dataset metadata

Browse files
Files changed (1) hide show
  1. README.md +426 -1
README.md CHANGED
@@ -19,6 +19,431 @@ task_ids:
19
  - named-entity-recognition
20
  paperswithcode_id: legal-documents-entity-recognition
21
  pretty_name: Legal Documents Entity Recognition
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  ---
23
 
24
  # Dataset Card for Legal Documents Entity Recognition
@@ -145,4 +570,4 @@ pretty_name: Legal Documents Entity Recognition
145
  [More Information Needed]
146
  ### Contributions
147
 
148
- Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.
 
19
  - named-entity-recognition
20
  paperswithcode_id: legal-documents-entity-recognition
21
  pretty_name: Legal Documents Entity Recognition
22
+ dataset_info:
23
+ - config_name: bag
24
+ features:
25
+ - name: id
26
+ dtype: string
27
+ - name: tokens
28
+ sequence: string
29
+ - name: ner_tags
30
+ sequence:
31
+ class_label:
32
+ names:
33
+ 0: B-AN
34
+ 1: B-EUN
35
+ 2: B-GRT
36
+ 3: B-GS
37
+ 4: B-INN
38
+ 5: B-LD
39
+ 6: B-LDS
40
+ 7: B-LIT
41
+ 8: B-MRK
42
+ 9: B-ORG
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+ 10: B-PER
44
+ 11: B-RR
45
+ 12: B-RS
46
+ 13: B-ST
47
+ 14: B-STR
48
+ 15: B-UN
49
+ 16: B-VO
50
+ 17: B-VS
51
+ 18: B-VT
52
+ 19: I-AN
53
+ 20: I-EUN
54
+ 21: I-GRT
55
+ 22: I-GS
56
+ 23: I-INN
57
+ 24: I-LD
58
+ 25: I-LDS
59
+ 26: I-LIT
60
+ 27: I-MRK
61
+ 28: I-ORG
62
+ 29: I-PER
63
+ 30: I-RR
64
+ 31: I-RS
65
+ 32: I-ST
66
+ 33: I-STR
67
+ 34: I-UN
68
+ 35: I-VO
69
+ 36: I-VS
70
+ 37: I-VT
71
+ 38: O
72
+ splits:
73
+ - name: train
74
+ download_size: 4392913
75
+ dataset_size: 0
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+ - config_name: bfh
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 2: B-GRT
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+ 3: B-GS
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
107
+ 21: I-GRT
108
+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
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+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
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+ download_size: 4392913
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+ dataset_size: 0
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+ - config_name: bgh
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 2: B-GRT
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+ 3: B-GS
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
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+ 21: I-GRT
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+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
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+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
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+ download_size: 4392913
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+ dataset_size: 0
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+ - config_name: bpatg
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 2: B-GRT
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+ 3: B-GS
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
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+ 21: I-GRT
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+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
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+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
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+ download_size: 4392913
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+ dataset_size: 0
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+ - config_name: bsg
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 2: B-GRT
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+ 3: B-GS
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
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+ 21: I-GRT
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+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
275
+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
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+ download_size: 4392913
287
+ dataset_size: 0
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+ - config_name: bverfg
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 2: B-GRT
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+ 3: B-GS
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
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+ 21: I-GRT
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+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
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+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
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+ download_size: 4392913
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+ dataset_size: 0
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+ - config_name: bverwg
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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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: B-AN
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+ 1: B-EUN
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+ 4: B-INN
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+ 5: B-LD
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+ 6: B-LDS
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+ 7: B-LIT
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+ 8: B-MRK
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+ 9: B-ORG
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+ 10: B-PER
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+ 11: B-RR
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+ 12: B-RS
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+ 13: B-ST
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+ 14: B-STR
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+ 15: B-UN
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+ 16: B-VO
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+ 17: B-VS
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+ 18: B-VT
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+ 19: I-AN
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+ 20: I-EUN
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+ 21: I-GRT
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+ 22: I-GS
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+ 23: I-INN
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+ 24: I-LD
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+ 25: I-LDS
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+ 26: I-LIT
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+ 27: I-MRK
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+ 28: I-ORG
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+ 29: I-PER
381
+ 30: I-RR
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+ 31: I-RS
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+ 32: I-ST
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+ 33: I-STR
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+ 34: I-UN
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+ 35: I-VO
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+ 36: I-VS
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+ 37: I-VT
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+ 38: O
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+ splits:
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+ - name: train
392
+ download_size: 4392913
393
+ dataset_size: 0
394
+ - config_name: all
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+ features:
396
+ - name: id
397
+ dtype: string
398
+ - name: tokens
399
+ sequence: string
400
+ - name: ner_tags
401
+ sequence:
402
+ class_label:
403
+ names:
404
+ 0: B-AN
405
+ 1: B-EUN
406
+ 2: B-GRT
407
+ 3: B-GS
408
+ 4: B-INN
409
+ 5: B-LD
410
+ 6: B-LDS
411
+ 7: B-LIT
412
+ 8: B-MRK
413
+ 9: B-ORG
414
+ 10: B-PER
415
+ 11: B-RR
416
+ 12: B-RS
417
+ 13: B-ST
418
+ 14: B-STR
419
+ 15: B-UN
420
+ 16: B-VO
421
+ 17: B-VS
422
+ 18: B-VT
423
+ 19: I-AN
424
+ 20: I-EUN
425
+ 21: I-GRT
426
+ 22: I-GS
427
+ 23: I-INN
428
+ 24: I-LD
429
+ 25: I-LDS
430
+ 26: I-LIT
431
+ 27: I-MRK
432
+ 28: I-ORG
433
+ 29: I-PER
434
+ 30: I-RR
435
+ 31: I-RS
436
+ 32: I-ST
437
+ 33: I-STR
438
+ 34: I-UN
439
+ 35: I-VO
440
+ 36: I-VS
441
+ 37: I-VT
442
+ 38: O
443
+ splits:
444
+ - name: train
445
+ download_size: 4392913
446
+ dataset_size: 0
447
  ---
448
 
449
  # Dataset Card for Legal Documents Entity Recognition
 
570
  [More Information Needed]
571
  ### Contributions
572
 
573
+ Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.