saattrupdan commited on
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4f27e41
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1 Parent(s): 0495bc2

style: Re-order

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  1. app.py +69 -64
app.py CHANGED
@@ -160,13 +160,13 @@ class Dataset(BaseModel):
160
  return hash(self.name)
161
 
162
 
 
 
 
 
163
  SUMMARISATION = Task(name="summarisation", metric="bertscore")
164
  KNOWLEDGE = Task(name="knowledge", metric="mcc")
165
  COMMON_SENSE_REASONING = Task(name="common-sense reasoning", metric="mcc")
166
- GRAMMAR = Task(name="grammar", metric="mcc")
167
- READING_COMPREHENSION = Task(name="reading comprehension", metric="em")
168
- TEXT_CLASSIFICATION = Task(name="text classification", metric="mcc")
169
- INFORMATION_EXTRACTION = Task(name="information extraction", metric="micro_f1_no_misc")
170
  ALL_TASKS = [obj for obj in globals().values() if isinstance(obj, Task)]
171
 
172
  DANISH = Language(code="da", name="Danish")
@@ -184,82 +184,87 @@ ALL_LANGUAGES = {
184
  }
185
 
186
  DATASETS = [
187
- Dataset(name="swerec", language=SWEDISH, task=TEXT_CLASSIFICATION),
188
  Dataset(name="angry-tweets", language=DANISH, task=TEXT_CLASSIFICATION),
189
- Dataset(name="norec", language=NORWEGIAN, task=TEXT_CLASSIFICATION),
190
- Dataset(name="sb10k", language=GERMAN, task=TEXT_CLASSIFICATION),
191
- Dataset(name="dutch-social", language=DUTCH, task=TEXT_CLASSIFICATION),
192
- Dataset(name="sst5", language=ENGLISH, task=TEXT_CLASSIFICATION),
193
- Dataset(name="hotter-and-colder-sentiment", language=ICELANDIC, task=TEXT_CLASSIFICATION),
194
- Dataset(name="fosent", language=FAROESE, task=TEXT_CLASSIFICATION),
195
- Dataset(name="allocine", language=FRENCH, task=TEXT_CLASSIFICATION),
196
- Dataset(name="sentipolc16", language=ITALIAN, task=TEXT_CLASSIFICATION),
197
-
198
- Dataset(name="suc3", language=SWEDISH, task=INFORMATION_EXTRACTION),
199
  Dataset(name="dansk", language=DANISH, task=INFORMATION_EXTRACTION),
200
- Dataset(name="norne-nb", language=NORWEGIAN, task=INFORMATION_EXTRACTION),
201
- Dataset(name="norne-nn", language=NORWEGIAN, task=INFORMATION_EXTRACTION),
202
- Dataset(name="mim-gold-ner", language=ICELANDIC, task=INFORMATION_EXTRACTION),
203
- Dataset(name="germeval", language=GERMAN, task=INFORMATION_EXTRACTION),
204
- Dataset(name="conll-nl", language=DUTCH, task=INFORMATION_EXTRACTION),
205
- Dataset(name="conll-en", language=ENGLISH, task=INFORMATION_EXTRACTION),
206
- Dataset(name="fone", language=FAROESE, task=INFORMATION_EXTRACTION),
207
- Dataset(name="eltec", language=FRENCH, task=INFORMATION_EXTRACTION),
208
- Dataset(name="multinerd-it", language=ITALIAN, task=INFORMATION_EXTRACTION),
209
 
210
- Dataset(name="scala-sv", language=SWEDISH, task=GRAMMAR),
211
- Dataset(name="scala-da", language=DANISH, task=GRAMMAR),
212
- Dataset(name="scala-nb", language=NORWEGIAN, task=GRAMMAR),
213
- Dataset(name="scala-nn", language=NORWEGIAN, task=GRAMMAR),
214
- Dataset(name="scala-is", language=ICELANDIC, task=GRAMMAR),
215
- Dataset(name="scala-de", language=GERMAN, task=GRAMMAR),
216
  Dataset(name="scala-nl", language=DUTCH, task=GRAMMAR),
217
- Dataset(name="scala-en", language=ENGLISH, task=GRAMMAR),
218
- Dataset(name="scala-fo", language=FAROESE, task=GRAMMAR),
219
- Dataset(name="scala-fr", language=FRENCH, task=GRAMMAR),
220
- Dataset(name="scala-it", language=ITALIAN, task=GRAMMAR),
 
221
 
222
- Dataset(name="scandiqa-da", language=DANISH, task=READING_COMPREHENSION),
223
- Dataset(name="norquad", language=NORWEGIAN, task=READING_COMPREHENSION),
224
- Dataset(name="scandiqa-sv", language=SWEDISH, task=READING_COMPREHENSION),
225
- Dataset(name="nqii", language=ICELANDIC, task=READING_COMPREHENSION),
226
- Dataset(name="germanquad", language=GERMAN, task=READING_COMPREHENSION),
227
  Dataset(name="squad", language=ENGLISH, task=READING_COMPREHENSION),
228
- Dataset(name="squad-nl", language=DUTCH, task=READING_COMPREHENSION),
 
 
 
 
 
 
229
  Dataset(name="foqa", language=FAROESE, task=READING_COMPREHENSION),
 
 
 
 
230
  Dataset(name="fquad", language=FRENCH, task=READING_COMPREHENSION),
231
- Dataset(name="squad-it", language=ITALIAN, task=READING_COMPREHENSION),
 
 
232
 
233
- Dataset(name="nordjylland-news", language=DANISH, task=SUMMARISATION),
 
 
 
234
  Dataset(name="mlsum", language=GERMAN, task=SUMMARISATION),
235
- Dataset(name="rrn", language=ICELANDIC, task=SUMMARISATION),
236
- Dataset(name="no-sammendrag", language=NORWEGIAN, task=SUMMARISATION),
237
- Dataset(name="wiki-lingua-nl", language=DUTCH, task=SUMMARISATION),
238
- Dataset(name="swedn", language=SWEDISH, task=SUMMARISATION),
239
- Dataset(name="cnn-dailymail", language=ENGLISH, task=SUMMARISATION),
240
- Dataset(name="orange-sum", language=FRENCH, task=SUMMARISATION),
241
- Dataset(name="ilpost-sum", language=ITALIAN, task=SUMMARISATION),
242
 
243
- Dataset(name="danish-citizen-tests", language=DANISH, task=KNOWLEDGE),
244
- Dataset(name="danske-talemaader", language=DANISH, task=KNOWLEDGE),
245
- Dataset(name="nrk-quiz-qa", language=NORWEGIAN, task=KNOWLEDGE),
246
- Dataset(name="mmlu-sv", language=SWEDISH, task=KNOWLEDGE),
 
 
 
247
  Dataset(name="icelandic-knowledge", language=ICELANDIC, task=KNOWLEDGE),
248
- Dataset(name="mmlu-de", language=GERMAN, task=KNOWLEDGE),
249
- Dataset(name="mmlu-nl", language=DUTCH, task=KNOWLEDGE),
250
- Dataset(name="mmlu", language=ENGLISH, task=KNOWLEDGE),
251
- Dataset(name="mmlu-fr", language=FRENCH, task=KNOWLEDGE),
 
 
 
252
  Dataset(name="mmlu-it", language=ITALIAN, task=KNOWLEDGE),
 
253
 
254
- Dataset(name="hellaswag-da", language=DANISH, task=COMMON_SENSE_REASONING),
 
 
 
 
 
 
 
255
  Dataset(name="nor-common-sense-qa", language=NORWEGIAN, task=COMMON_SENSE_REASONING),
 
 
 
 
 
 
 
256
  Dataset(name="hellaswag-sv", language=SWEDISH, task=COMMON_SENSE_REASONING),
257
- Dataset(name="winogrande-is", language=ICELANDIC, task=COMMON_SENSE_REASONING),
258
- Dataset(name="hellaswag-de", language=GERMAN, task=COMMON_SENSE_REASONING),
259
- Dataset(name="hellaswag-nl", language=DUTCH, task=COMMON_SENSE_REASONING),
260
- Dataset(name="hellaswag", language=ENGLISH, task=COMMON_SENSE_REASONING),
261
- Dataset(name="hellaswag-fr", language=FRENCH, task=COMMON_SENSE_REASONING),
262
- Dataset(name="hellaswag-it", language=ITALIAN, task=COMMON_SENSE_REASONING),
263
  ]
264
 
265
 
 
160
  return hash(self.name)
161
 
162
 
163
+ TEXT_CLASSIFICATION = Task(name="text classification", metric="mcc")
164
+ GRAMMAR = Task(name="grammar", metric="mcc")
165
+ INFORMATION_EXTRACTION = Task(name="information extraction", metric="micro_f1_no_misc")
166
+ READING_COMPREHENSION = Task(name="reading comprehension", metric="em")
167
  SUMMARISATION = Task(name="summarisation", metric="bertscore")
168
  KNOWLEDGE = Task(name="knowledge", metric="mcc")
169
  COMMON_SENSE_REASONING = Task(name="common-sense reasoning", metric="mcc")
 
 
 
 
170
  ALL_TASKS = [obj for obj in globals().values() if isinstance(obj, Task)]
171
 
172
  DANISH = Language(code="da", name="Danish")
 
184
  }
185
 
186
  DATASETS = [
 
187
  Dataset(name="angry-tweets", language=DANISH, task=TEXT_CLASSIFICATION),
188
+ Dataset(name="scala-da", language=DANISH, task=GRAMMAR),
 
 
 
 
 
 
 
 
 
189
  Dataset(name="dansk", language=DANISH, task=INFORMATION_EXTRACTION),
190
+ Dataset(name="scandiqa-da", language=DANISH, task=READING_COMPREHENSION),
191
+ Dataset(name="nordjylland-news", language=DANISH, task=SUMMARISATION),
192
+ Dataset(name="danish-citizen-tests", language=DANISH, task=KNOWLEDGE),
193
+ Dataset(name="danske-talemaader", language=DANISH, task=KNOWLEDGE),
194
+ Dataset(name="hellaswag-da", language=DANISH, task=COMMON_SENSE_REASONING),
 
 
 
 
195
 
196
+ Dataset(name="dutch-social", language=DUTCH, task=TEXT_CLASSIFICATION),
 
 
 
 
 
197
  Dataset(name="scala-nl", language=DUTCH, task=GRAMMAR),
198
+ Dataset(name="conll-nl", language=DUTCH, task=INFORMATION_EXTRACTION),
199
+ Dataset(name="squad-nl", language=DUTCH, task=READING_COMPREHENSION),
200
+ Dataset(name="wiki-lingua-nl", language=DUTCH, task=SUMMARISATION),
201
+ Dataset(name="mmlu-nl", language=DUTCH, task=KNOWLEDGE),
202
+ Dataset(name="hellaswag-nl", language=DUTCH, task=COMMON_SENSE_REASONING),
203
 
204
+ Dataset(name="sst5", language=ENGLISH, task=TEXT_CLASSIFICATION),
205
+ Dataset(name="scala-en", language=ENGLISH, task=GRAMMAR),
206
+ Dataset(name="conll-en", language=ENGLISH, task=INFORMATION_EXTRACTION),
 
 
207
  Dataset(name="squad", language=ENGLISH, task=READING_COMPREHENSION),
208
+ Dataset(name="cnn-dailymail", language=ENGLISH, task=SUMMARISATION),
209
+ Dataset(name="mmlu", language=ENGLISH, task=KNOWLEDGE),
210
+ Dataset(name="hellaswag", language=ENGLISH, task=COMMON_SENSE_REASONING),
211
+
212
+ Dataset(name="fosent", language=FAROESE, task=TEXT_CLASSIFICATION),
213
+ Dataset(name="scala-fo", language=FAROESE, task=GRAMMAR),
214
+ Dataset(name="fone", language=FAROESE, task=INFORMATION_EXTRACTION),
215
  Dataset(name="foqa", language=FAROESE, task=READING_COMPREHENSION),
216
+
217
+ Dataset(name="allocine", language=FRENCH, task=TEXT_CLASSIFICATION),
218
+ Dataset(name="scala-fr", language=FRENCH, task=GRAMMAR),
219
+ Dataset(name="eltec", language=FRENCH, task=INFORMATION_EXTRACTION),
220
  Dataset(name="fquad", language=FRENCH, task=READING_COMPREHENSION),
221
+ Dataset(name="orange-sum", language=FRENCH, task=SUMMARISATION),
222
+ Dataset(name="mmlu-fr", language=FRENCH, task=KNOWLEDGE),
223
+ Dataset(name="hellaswag-fr", language=FRENCH, task=COMMON_SENSE_REASONING),
224
 
225
+ Dataset(name="sb10k", language=GERMAN, task=TEXT_CLASSIFICATION),
226
+ Dataset(name="scala-de", language=GERMAN, task=GRAMMAR),
227
+ Dataset(name="germeval", language=GERMAN, task=INFORMATION_EXTRACTION),
228
+ Dataset(name="germanquad", language=GERMAN, task=READING_COMPREHENSION),
229
  Dataset(name="mlsum", language=GERMAN, task=SUMMARISATION),
230
+ Dataset(name="mmlu-de", language=GERMAN, task=KNOWLEDGE),
231
+ Dataset(name="hellaswag-de", language=GERMAN, task=COMMON_SENSE_REASONING),
 
 
 
 
 
232
 
233
+ Dataset(
234
+ name="hotter-and-colder-sentiment", language=ICELANDIC, task=TEXT_CLASSIFICATION
235
+ ),
236
+ Dataset(name="scala-is", language=ICELANDIC, task=GRAMMAR),
237
+ Dataset(name="mim-gold-ner", language=ICELANDIC, task=INFORMATION_EXTRACTION),
238
+ Dataset(name="nqii", language=ICELANDIC, task=READING_COMPREHENSION),
239
+ Dataset(name="rrn", language=ICELANDIC, task=SUMMARISATION),
240
  Dataset(name="icelandic-knowledge", language=ICELANDIC, task=KNOWLEDGE),
241
+ Dataset(name="winogrande-is", language=ICELANDIC, task=COMMON_SENSE_REASONING),
242
+
243
+ Dataset(name="sentipolc16", language=ITALIAN, task=TEXT_CLASSIFICATION),
244
+ Dataset(name="scala-it", language=ITALIAN, task=GRAMMAR),
245
+ Dataset(name="multinerd-it", language=ITALIAN, task=INFORMATION_EXTRACTION),
246
+ Dataset(name="squad-it", language=ITALIAN, task=READING_COMPREHENSION),
247
+ Dataset(name="ilpost-sum", language=ITALIAN, task=SUMMARISATION),
248
  Dataset(name="mmlu-it", language=ITALIAN, task=KNOWLEDGE),
249
+ Dataset(name="hellaswag-it", language=ITALIAN, task=COMMON_SENSE_REASONING),
250
 
251
+ Dataset(name="norec", language=NORWEGIAN, task=TEXT_CLASSIFICATION),
252
+ Dataset(name="scala-nb", language=NORWEGIAN, task=GRAMMAR),
253
+ Dataset(name="scala-nn", language=NORWEGIAN, task=GRAMMAR),
254
+ Dataset(name="norne-nb", language=NORWEGIAN, task=INFORMATION_EXTRACTION),
255
+ Dataset(name="norne-nn", language=NORWEGIAN, task=INFORMATION_EXTRACTION),
256
+ Dataset(name="norquad", language=NORWEGIAN, task=READING_COMPREHENSION),
257
+ Dataset(name="no-sammendrag", language=NORWEGIAN, task=SUMMARISATION),
258
+ Dataset(name="nrk-quiz-qa", language=NORWEGIAN, task=KNOWLEDGE),
259
  Dataset(name="nor-common-sense-qa", language=NORWEGIAN, task=COMMON_SENSE_REASONING),
260
+
261
+ Dataset(name="swerec", language=SWEDISH, task=TEXT_CLASSIFICATION),
262
+ Dataset(name="scala-sv", language=SWEDISH, task=GRAMMAR),
263
+ Dataset(name="suc3", language=SWEDISH, task=INFORMATION_EXTRACTION),
264
+ Dataset(name="scandiqa-sv", language=SWEDISH, task=READING_COMPREHENSION),
265
+ Dataset(name="swedn", language=SWEDISH, task=SUMMARISATION),
266
+ Dataset(name="mmlu-sv", language=SWEDISH, task=KNOWLEDGE),
267
  Dataset(name="hellaswag-sv", language=SWEDISH, task=COMMON_SENSE_REASONING),
 
 
 
 
 
 
268
  ]
269
 
270