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Datasets:
dianalogan
/
Marketing-Budget-and-Actual-Sales-Dataset

Sub-tasks:
intent-classification
multi-class-classification
sentiment-classification
Languages:
English
ArXiv:
License:
Dataset card Files Community
3
albertvillanova HF staff commited on
Commit
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1 Parent(s): 0819ebc

Fix task tags

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Files changed (1) hide show
  1. README.md +181 -180
README.md CHANGED
@@ -10,12 +10,25 @@ multilinguality:
10
  source_datasets:
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  - other-generated-datasets
12
  task_categories:
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- - text
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- - linear-regression
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  task_ids:
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  - intent-classification
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  - multi-class-classification
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  - sentiment-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  train-eval-index:
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  - config: emotion
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  task: text-classification
@@ -27,44 +40,44 @@ train-eval-index:
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  text: text
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  label: target
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  metrics:
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- - type: accuracy
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- name: Accuracy
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- - type: f1
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- name: F1 macro
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- args:
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- average: macro
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- - type: f1
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- name: F1 micro
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- args:
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- average: micro
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- - type: f1
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- name: F1 weighted
42
- args:
43
- average: weighted
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- - type: precision
45
- name: Precision macro
46
- args:
47
- average: macro
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- - type: precision
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- name: Precision micro
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- args:
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- average: micro
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- - type: precision
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- name: Precision weighted
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- args:
55
- average: weighted
56
- - type: recall
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- name: Recall macro
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- args:
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- average: macro
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- - type: recall
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- name: Recall micro
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- args:
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- average: micro
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- - type: recall
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- name: Recall weighted
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- args:
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- average: weighted
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  - config: hate
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  task: text-classification
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  task_id: binary_classification
@@ -75,36 +88,36 @@ train-eval-index:
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  text: text
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  label: target
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  metrics:
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- - type: accuracy
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- name: Accuracy
80
- - type: f1
81
- name: F1 binary
82
- args:
83
- average: binary
84
- - type: precision
85
- name: Precision macro
86
- args:
87
- average: macro
88
- - type: precision
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- name: Precision micro
90
- args:
91
- average: micro
92
- - type: precision
93
- name: Precision weighted
94
- args:
95
- average: weighted
96
- - type: recall
97
- name: Recall macro
98
- args:
99
- average: macro
100
- - type: recall
101
- name: Recall micro
102
- args:
103
- average: micro
104
- - type: recall
105
- name: Recall weighted
106
- args:
107
- average: weighted
108
  - config: irony
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  task: text-classification
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  task_id: binary_classification
@@ -115,36 +128,36 @@ train-eval-index:
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  text: text
116
  label: target
117
  metrics:
118
- - type: accuracy
119
- name: Accuracy
120
- - type: f1
121
- name: F1 binary
122
- args:
123
- average: binary
124
- - type: precision
125
- name: Precision macro
126
- args:
127
- average: macro
128
- - type: precision
129
- name: Precision micro
130
- args:
131
- average: micro
132
- - type: precision
133
- name: Precision weighted
134
- args:
135
- average: weighted
136
- - type: recall
137
- name: Recall macro
138
- args:
139
- average: macro
140
- - type: recall
141
- name: Recall micro
142
- args:
143
- average: micro
144
- - type: recall
145
- name: Recall weighted
146
- args:
147
- average: weighted
148
  - config: offensive
149
  task: text-classification
150
  task_id: binary_classification
@@ -155,36 +168,36 @@ train-eval-index:
155
  text: text
156
  label: target
157
  metrics:
158
- - type: accuracy
159
- name: Accuracy
160
- - type: f1
161
- name: F1 binary
162
- args:
163
- average: binary
164
- - type: precision
165
- name: Precision macro
166
- args:
167
- average: macro
168
- - type: precision
169
- name: Precision micro
170
- args:
171
- average: micro
172
- - type: precision
173
- name: Precision weighted
174
- args:
175
- average: weighted
176
- - type: recall
177
- name: Recall macro
178
- args:
179
- average: macro
180
- - type: recall
181
- name: Recall micro
182
- args:
183
- average: micro
184
- - type: recall
185
- name: Recall weighted
186
- args:
187
- average: weighted
188
  - config: sentiment
189
  task: text-classification
190
  task_id: multi_class_classification
@@ -195,56 +208,44 @@ train-eval-index:
195
  text: text
196
  label: target
197
  metrics:
198
- - type: accuracy
199
- name: Accuracy
200
- - type: f1
201
- name: F1 macro
202
- args:
203
- average: macro
204
- - type: f1
205
- name: F1 micro
206
- args:
207
- average: micro
208
- - type: f1
209
- name: F1 weighted
210
- args:
211
- average: weighted
212
- - type: precision
213
- name: Precision macro
214
- args:
215
- average: macro
216
- - type: precision
217
- name: Precision micro
218
- args:
219
- average: micro
220
- - type: precision
221
- name: Precision weighted
222
- args:
223
- average: weighted
224
- - type: recall
225
- name: Recall macro
226
- args:
227
- average: macro
228
- - type: recall
229
- name: Recall micro
230
- args:
231
- average: micro
232
- - type: recall
233
- name: Recall weighted
234
- args:
235
- average: weighted
236
- configs:
237
- - emoji
238
- - emotion
239
- - hate
240
- - irony
241
- - offensive
242
- - sentiment
243
- - stance_abortion
244
- - stance_atheism
245
- - stance_climate
246
- - stance_feminist
247
- - stance_hillary
248
  ---
249
  # Dataset Card for tweet_eval
250
  ## Table of Contents
 
10
  source_datasets:
11
  - other-generated-datasets
12
  task_categories:
13
+ - tabular-regression
 
14
  task_ids:
15
  - intent-classification
16
  - multi-class-classification
17
  - sentiment-classification
18
+ configs:
19
+ - emoji
20
+ - emotion
21
+ - hate
22
+ - irony
23
+ - offensive
24
+ - sentiment
25
+ - stance_abortion
26
+ - stance_atheism
27
+ - stance_climate
28
+ - stance_feminist
29
+ - stance_hillary
30
+ tags:
31
+ - linear-regression
32
  train-eval-index:
33
  - config: emotion
34
  task: text-classification
 
40
  text: text
41
  label: target
42
  metrics:
43
+ - type: accuracy
44
+ name: Accuracy
45
+ - type: f1
46
+ name: F1 macro
47
+ args:
48
+ average: macro
49
+ - type: f1
50
+ name: F1 micro
51
+ args:
52
+ average: micro
53
+ - type: f1
54
+ name: F1 weighted
55
+ args:
56
+ average: weighted
57
+ - type: precision
58
+ name: Precision macro
59
+ args:
60
+ average: macro
61
+ - type: precision
62
+ name: Precision micro
63
+ args:
64
+ average: micro
65
+ - type: precision
66
+ name: Precision weighted
67
+ args:
68
+ average: weighted
69
+ - type: recall
70
+ name: Recall macro
71
+ args:
72
+ average: macro
73
+ - type: recall
74
+ name: Recall micro
75
+ args:
76
+ average: micro
77
+ - type: recall
78
+ name: Recall weighted
79
+ args:
80
+ average: weighted
81
  - config: hate
82
  task: text-classification
83
  task_id: binary_classification
 
88
  text: text
89
  label: target
90
  metrics:
91
+ - type: accuracy
92
+ name: Accuracy
93
+ - type: f1
94
+ name: F1 binary
95
+ args:
96
+ average: binary
97
+ - type: precision
98
+ name: Precision macro
99
+ args:
100
+ average: macro
101
+ - type: precision
102
+ name: Precision micro
103
+ args:
104
+ average: micro
105
+ - type: precision
106
+ name: Precision weighted
107
+ args:
108
+ average: weighted
109
+ - type: recall
110
+ name: Recall macro
111
+ args:
112
+ average: macro
113
+ - type: recall
114
+ name: Recall micro
115
+ args:
116
+ average: micro
117
+ - type: recall
118
+ name: Recall weighted
119
+ args:
120
+ average: weighted
121
  - config: irony
122
  task: text-classification
123
  task_id: binary_classification
 
128
  text: text
129
  label: target
130
  metrics:
131
+ - type: accuracy
132
+ name: Accuracy
133
+ - type: f1
134
+ name: F1 binary
135
+ args:
136
+ average: binary
137
+ - type: precision
138
+ name: Precision macro
139
+ args:
140
+ average: macro
141
+ - type: precision
142
+ name: Precision micro
143
+ args:
144
+ average: micro
145
+ - type: precision
146
+ name: Precision weighted
147
+ args:
148
+ average: weighted
149
+ - type: recall
150
+ name: Recall macro
151
+ args:
152
+ average: macro
153
+ - type: recall
154
+ name: Recall micro
155
+ args:
156
+ average: micro
157
+ - type: recall
158
+ name: Recall weighted
159
+ args:
160
+ average: weighted
161
  - config: offensive
162
  task: text-classification
163
  task_id: binary_classification
 
168
  text: text
169
  label: target
170
  metrics:
171
+ - type: accuracy
172
+ name: Accuracy
173
+ - type: f1
174
+ name: F1 binary
175
+ args:
176
+ average: binary
177
+ - type: precision
178
+ name: Precision macro
179
+ args:
180
+ average: macro
181
+ - type: precision
182
+ name: Precision micro
183
+ args:
184
+ average: micro
185
+ - type: precision
186
+ name: Precision weighted
187
+ args:
188
+ average: weighted
189
+ - type: recall
190
+ name: Recall macro
191
+ args:
192
+ average: macro
193
+ - type: recall
194
+ name: Recall micro
195
+ args:
196
+ average: micro
197
+ - type: recall
198
+ name: Recall weighted
199
+ args:
200
+ average: weighted
201
  - config: sentiment
202
  task: text-classification
203
  task_id: multi_class_classification
 
208
  text: text
209
  label: target
210
  metrics:
211
+ - type: accuracy
212
+ name: Accuracy
213
+ - type: f1
214
+ name: F1 macro
215
+ args:
216
+ average: macro
217
+ - type: f1
218
+ name: F1 micro
219
+ args:
220
+ average: micro
221
+ - type: f1
222
+ name: F1 weighted
223
+ args:
224
+ average: weighted
225
+ - type: precision
226
+ name: Precision macro
227
+ args:
228
+ average: macro
229
+ - type: precision
230
+ name: Precision micro
231
+ args:
232
+ average: micro
233
+ - type: precision
234
+ name: Precision weighted
235
+ args:
236
+ average: weighted
237
+ - type: recall
238
+ name: Recall macro
239
+ args:
240
+ average: macro
241
+ - type: recall
242
+ name: Recall micro
243
+ args:
244
+ average: micro
245
+ - type: recall
246
+ name: Recall weighted
247
+ args:
248
+ average: weighted
 
 
 
 
 
 
 
 
 
 
 
 
249
  ---
250
  # Dataset Card for tweet_eval
251
  ## Table of Contents