shchoice commited on
Commit
151e104
·
verified ·
1 Parent(s): 1d45eac

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +2 -135
README.md CHANGED
@@ -6,139 +6,6 @@ tags:
6
  - korean
7
  - finance
8
  - legal
9
- dataset_info:
10
- - config_name: multiple_choice
11
- features:
12
- - name: doc_title
13
- dtype: string
14
- - name: context
15
- dtype: string
16
- - name: question
17
- dtype: string
18
- - name: options
19
- sequence: string
20
- - name: answer_text
21
- dtype: string
22
- splits:
23
- - name: train
24
- num_bytes: 52657661
25
- num_examples: 32092
26
- - name: validation
27
- num_bytes: 8296685
28
- num_examples: 4634
29
- download_size: 14848868
30
- dataset_size: 60954346
31
- - config_name: span_extraction
32
- features:
33
- - name: doc_title
34
- dtype: string
35
- - name: context
36
- dtype: string
37
- - name: question
38
- dtype: string
39
- - name: answer_text
40
- dtype: string
41
- splits:
42
- - name: train
43
- num_bytes: 154553286
44
- num_examples: 93828
45
- - name: validation
46
- num_bytes: 23273377
47
- num_examples: 12692
48
- download_size: 43600501
49
- dataset_size: 177826663
50
- - config_name: span_extraction_how
51
- features:
52
- - name: doc_title
53
- dtype: string
54
- - name: context
55
- dtype: string
56
- - name: question
57
- dtype: string
58
- - name: answer_text
59
- dtype: string
60
- splits:
61
- - name: train
62
- num_bytes: 111843943
63
- num_examples: 61746
64
- - name: validation
65
- num_bytes: 21025535
66
- num_examples: 9124
67
- download_size: 31577500
68
- dataset_size: 132869478
69
- - config_name: tableqa
70
- features:
71
- - name: doc_title
72
- dtype: string
73
- - name: context
74
- dtype: string
75
- - name: table_title
76
- dtype: string
77
- - name: table_html
78
- dtype: string
79
- - name: question
80
- dtype: string
81
- - name: answer_text
82
- dtype: string
83
- splits:
84
- - name: train
85
- num_bytes: 228901199
86
- num_examples: 96000
87
- - name: validation
88
- num_bytes: 24161924
89
- num_examples: 12000
90
- download_size: 15321234
91
- dataset_size: 253063123
92
- - config_name: text_entailment
93
- features:
94
- - name: doc_title
95
- dtype: string
96
- - name: context
97
- dtype: string
98
- - name: question
99
- dtype: string
100
- - name: answer_text
101
- dtype: string
102
- splits:
103
- - name: train
104
- num_bytes: 52307558
105
- num_examples: 32750
106
- - name: validation
107
- num_bytes: 5778697
108
- num_examples: 3740
109
- download_size: 13330652
110
- dataset_size: 58086255
111
- configs:
112
- - config_name: multiple_choice
113
- data_files:
114
- - split: train
115
- path: multiple_choice/train-*
116
- - split: validation
117
- path: multiple_choice/validation-*
118
- - config_name: span_extraction
119
- data_files:
120
- - split: train
121
- path: span_extraction/train-*
122
- - split: validation
123
- path: span_extraction/validation-*
124
- - config_name: span_extraction_how
125
- data_files:
126
- - split: train
127
- path: span_extraction_how/train-*
128
- - split: validation
129
- path: span_extraction_how/validation-*
130
- - config_name: tableqa
131
- data_files:
132
- - split: train
133
- path: tableqa/train-*
134
- - split: validation
135
- path: tableqa/validation-*
136
- - config_name: text_entailment
137
- data_files:
138
- - split: train
139
- path: text_entailment/train-*
140
- - split: validation
141
- path: text_entailment/validation-*
142
  ---
143
 
144
  # 금융, 법률 문서 기계독해 데이터셋
@@ -163,13 +30,13 @@ configs:
163
  from datasets import load_dataset
164
  특정 configuration의 특정 split 로드
165
  train_data = load_dataset("shchoice/finance-legal-mrc", "span_extraction", split="train")
166
- valid_data = load_dataset("shchoice/finance-legal-mrc", "multiple_choice", split="validation")
167
  특정 configuration의 전체 split 로드
168
  full_dataset = load_dataset("shchoice/finance-legal-mrc", "span_extraction")
169
  ```
170
 
171
  ## 데이터 필드
172
- 1. 기계독해에 필요한 필수 항목
173
  - doc_title: 문서 제목 (Optional)
174
  - context: 문장의 주요 텍스트 내용
175
  - question: 질문 텍스트
 
6
  - korean
7
  - finance
8
  - legal
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  # 금융, 법률 문서 기계독해 데이터셋
 
30
  from datasets import load_dataset
31
  특정 configuration의 특정 split 로드
32
  train_data = load_dataset("shchoice/finance-legal-mrc", "span_extraction", split="train")
33
+ valid_data = load_dataset("shchoice/finance-legal-mrc", "multiple_choice", split="test")
34
  특정 configuration의 전체 split 로드
35
  full_dataset = load_dataset("shchoice/finance-legal-mrc", "span_extraction")
36
  ```
37
 
38
  ## 데이터 필드
39
+ 1. 기계독해에 필요한 필수 항목
40
  - doc_title: 문서 제목 (Optional)
41
  - context: 문장의 주요 텍스트 내용
42
  - question: 질문 텍스트