Datasets:
Tasks:
Token Classification
Sub-tasks:
coreference-resolution
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -19,6 +19,675 @@ task_ids:
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|
19 |
- coreference-resolution
|
20 |
paperswithcode_id: winobias
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21 |
pretty_name: WinoBias
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22 |
---
|
23 |
|
24 |
# Dataset Card for Wino_Bias dataset
|
@@ -172,4 +841,4 @@ MIT Licence
|
|
172 |
|
173 |
### Contributions
|
174 |
|
175 |
-
Thanks to [@akshayb7](https://github.com/akshayb7) for adding this dataset. Updated by [@JieyuZhao](https://github.com/JieyuZhao).
|
|
|
19 |
- coreference-resolution
|
20 |
paperswithcode_id: winobias
|
21 |
pretty_name: WinoBias
|
22 |
+
dataset_info:
|
23 |
+
- config_name: wino_bias
|
24 |
+
features:
|
25 |
+
- name: document_id
|
26 |
+
dtype: string
|
27 |
+
- name: part_number
|
28 |
+
dtype: string
|
29 |
+
- name: word_number
|
30 |
+
sequence: int32
|
31 |
+
- name: tokens
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32 |
+
sequence: string
|
33 |
+
- name: pos_tags
|
34 |
+
sequence:
|
35 |
+
class_label:
|
36 |
+
names:
|
37 |
+
0: '"'
|
38 |
+
1: ''''''
|
39 |
+
2: '#'
|
40 |
+
3: $
|
41 |
+
4: (
|
42 |
+
5: )
|
43 |
+
6: ','
|
44 |
+
7: .
|
45 |
+
8: ':'
|
46 |
+
9: '``'
|
47 |
+
10: CC
|
48 |
+
11: CD
|
49 |
+
12: DT
|
50 |
+
13: EX
|
51 |
+
14: FW
|
52 |
+
15: IN
|
53 |
+
16: JJ
|
54 |
+
17: JJR
|
55 |
+
18: JJS
|
56 |
+
19: LS
|
57 |
+
20: MD
|
58 |
+
21: NN
|
59 |
+
22: NNP
|
60 |
+
23: NNPS
|
61 |
+
24: NNS
|
62 |
+
25: NN|SYM
|
63 |
+
26: PDT
|
64 |
+
27: POS
|
65 |
+
28: PRP
|
66 |
+
29: PRP$
|
67 |
+
30: RB
|
68 |
+
31: RBR
|
69 |
+
32: RBS
|
70 |
+
33: RP
|
71 |
+
34: SYM
|
72 |
+
35: TO
|
73 |
+
36: UH
|
74 |
+
37: VB
|
75 |
+
38: VBD
|
76 |
+
39: VBG
|
77 |
+
40: VBN
|
78 |
+
41: VBP
|
79 |
+
42: VBZ
|
80 |
+
43: WDT
|
81 |
+
44: WP
|
82 |
+
45: WP$
|
83 |
+
46: WRB
|
84 |
+
47: HYPH
|
85 |
+
48: XX
|
86 |
+
49: NFP
|
87 |
+
50: AFX
|
88 |
+
51: ADD
|
89 |
+
52: -LRB-
|
90 |
+
53: -RRB-
|
91 |
+
- name: parse_bit
|
92 |
+
sequence: string
|
93 |
+
- name: predicate_lemma
|
94 |
+
sequence: string
|
95 |
+
- name: predicate_framenet_id
|
96 |
+
sequence: string
|
97 |
+
- name: word_sense
|
98 |
+
sequence: string
|
99 |
+
- name: speaker
|
100 |
+
sequence: string
|
101 |
+
- name: ner_tags
|
102 |
+
sequence:
|
103 |
+
class_label:
|
104 |
+
names:
|
105 |
+
0: B-PERSON
|
106 |
+
1: I-PERSON
|
107 |
+
2: B-NORP
|
108 |
+
3: I-NORP
|
109 |
+
4: B-FAC
|
110 |
+
5: I-FAC
|
111 |
+
6: B-ORG
|
112 |
+
7: I-ORG
|
113 |
+
8: B-GPE
|
114 |
+
9: I-GPE
|
115 |
+
10: B-LOC
|
116 |
+
11: I-LOC
|
117 |
+
12: B-PRODUCT
|
118 |
+
13: I-PRODUCT
|
119 |
+
14: B-EVENT
|
120 |
+
15: I-EVENT
|
121 |
+
16: B-WORK_OF_ART
|
122 |
+
17: I-WORK_OF_ART
|
123 |
+
18: B-LAW
|
124 |
+
19: I-LAW
|
125 |
+
20: B-LANGUAGE
|
126 |
+
21: I-LANGUAGE
|
127 |
+
22: B-DATE
|
128 |
+
23: I-DATE
|
129 |
+
24: B-TIME
|
130 |
+
25: I-TIME
|
131 |
+
26: B-PERCENT
|
132 |
+
27: I-PERCENT
|
133 |
+
28: B-MONEY
|
134 |
+
29: I-MONEY
|
135 |
+
30: B-QUANTITY
|
136 |
+
31: I-QUANTITY
|
137 |
+
32: B-ORDINAL
|
138 |
+
33: I-ORDINAL
|
139 |
+
34: B-CARDINAL
|
140 |
+
35: I-CARDINAL
|
141 |
+
36: '*'
|
142 |
+
37: '0'
|
143 |
+
- name: verbal_predicates
|
144 |
+
sequence: string
|
145 |
+
splits:
|
146 |
+
- name: train
|
147 |
+
num_bytes: 173899234
|
148 |
+
num_examples: 150335
|
149 |
+
download_size: 268725744
|
150 |
+
dataset_size: 173899234
|
151 |
+
- config_name: type1_pro
|
152 |
+
features:
|
153 |
+
- name: document_id
|
154 |
+
dtype: string
|
155 |
+
- name: part_number
|
156 |
+
dtype: string
|
157 |
+
- name: word_number
|
158 |
+
sequence: int32
|
159 |
+
- name: tokens
|
160 |
+
sequence: string
|
161 |
+
- name: pos_tags
|
162 |
+
sequence:
|
163 |
+
class_label:
|
164 |
+
names:
|
165 |
+
0: '"'
|
166 |
+
1: ''''''
|
167 |
+
2: '#'
|
168 |
+
3: $
|
169 |
+
4: (
|
170 |
+
5: )
|
171 |
+
6: ','
|
172 |
+
7: .
|
173 |
+
8: ':'
|
174 |
+
9: '``'
|
175 |
+
10: CC
|
176 |
+
11: CD
|
177 |
+
12: DT
|
178 |
+
13: EX
|
179 |
+
14: FW
|
180 |
+
15: IN
|
181 |
+
16: JJ
|
182 |
+
17: JJR
|
183 |
+
18: JJS
|
184 |
+
19: LS
|
185 |
+
20: MD
|
186 |
+
21: NN
|
187 |
+
22: NNP
|
188 |
+
23: NNPS
|
189 |
+
24: NNS
|
190 |
+
25: NN|SYM
|
191 |
+
26: PDT
|
192 |
+
27: POS
|
193 |
+
28: PRP
|
194 |
+
29: PRP$
|
195 |
+
30: RB
|
196 |
+
31: RBR
|
197 |
+
32: RBS
|
198 |
+
33: RP
|
199 |
+
34: SYM
|
200 |
+
35: TO
|
201 |
+
36: UH
|
202 |
+
37: VB
|
203 |
+
38: VBD
|
204 |
+
39: VBG
|
205 |
+
40: VBN
|
206 |
+
41: VBP
|
207 |
+
42: VBZ
|
208 |
+
43: WDT
|
209 |
+
44: WP
|
210 |
+
45: WP$
|
211 |
+
46: WRB
|
212 |
+
47: HYPH
|
213 |
+
48: XX
|
214 |
+
49: NFP
|
215 |
+
50: AFX
|
216 |
+
51: ADD
|
217 |
+
52: -LRB-
|
218 |
+
53: -RRB-
|
219 |
+
54: '-'
|
220 |
+
- name: parse_bit
|
221 |
+
sequence: string
|
222 |
+
- name: predicate_lemma
|
223 |
+
sequence: string
|
224 |
+
- name: predicate_framenet_id
|
225 |
+
sequence: string
|
226 |
+
- name: word_sense
|
227 |
+
sequence: string
|
228 |
+
- name: speaker
|
229 |
+
sequence: string
|
230 |
+
- name: ner_tags
|
231 |
+
sequence:
|
232 |
+
class_label:
|
233 |
+
names:
|
234 |
+
0: B-PERSON
|
235 |
+
1: I-PERSON
|
236 |
+
2: B-NORP
|
237 |
+
3: I-NORP
|
238 |
+
4: B-FAC
|
239 |
+
5: I-FAC
|
240 |
+
6: B-ORG
|
241 |
+
7: I-ORG
|
242 |
+
8: B-GPE
|
243 |
+
9: I-GPE
|
244 |
+
10: B-LOC
|
245 |
+
11: I-LOC
|
246 |
+
12: B-PRODUCT
|
247 |
+
13: I-PRODUCT
|
248 |
+
14: B-EVENT
|
249 |
+
15: I-EVENT
|
250 |
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dataset_size: 746019
|
691 |
---
|
692 |
|
693 |
# Dataset Card for Wino_Bias dataset
|
|
|
841 |
|
842 |
### Contributions
|
843 |
|
844 |
+
Thanks to [@akshayb7](https://github.com/akshayb7) for adding this dataset. Updated by [@JieyuZhao](https://github.com/JieyuZhao).
|