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Datasets:
sbx
/
superlim-2

Tasks:
Multiple Choice
Text Classification
Question Answering
Modalities:
Text
Sub-tasks:
sentiment-analysis
acceptability-classification
closed-domain-qa
Languages:
Swedish
Size:
100K - 1M
Libraries:
Datasets
Dataset card Viewer Files Community
4
Felix commited on
Commit
97412fb
•
1 Parent(s): 1889f0b

new splits of supersim, sweana and swesat

Browse files
Files changed (9) hide show
  1. data/supersim-superlim/supersim-superlim-relatedness_test.jsonl +2 -2
  2. data/supersim-superlim/supersim-superlim-relatedness_train.jsonl +3 -0
  3. data/supersim-superlim/supersim-superlim-similarity_test.jsonl +2 -2
  4. data/supersim-superlim/supersim-superlim-similarity_train.jsonl +3 -0
  5. data/sweanalogy/sweanalogy_test.jsonl +2 -2
  6. data/sweanalogy/sweanalogy_train.jsonl +3 -0
  7. data/swesat-synonyms/swesat-synonyms_test.jsonl +2 -2
  8. data/swesat-synonyms/swesat-synonyms_train.jsonl +3 -0
  9. superlim-2.py +1 -1
data/supersim-superlim/supersim-superlim-relatedness_test.jsonl CHANGED
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data/supersim-superlim/supersim-superlim-relatedness_train.jsonl ADDED
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data/supersim-superlim/supersim-superlim-similarity_test.jsonl CHANGED
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data/supersim-superlim/supersim-superlim-similarity_train.jsonl ADDED
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data/sweanalogy/sweanalogy_test.jsonl CHANGED
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data/sweanalogy/sweanalogy_train.jsonl ADDED
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data/swesat-synonyms/swesat-synonyms_test.jsonl CHANGED
@@ -1,3 +1,3 @@
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data/swesat-synonyms/swesat-synonyms_train.jsonl ADDED
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superlim-2.py CHANGED
@@ -358,7 +358,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
358
  },
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  )
360
  splits.append(split_dev)
361
- if self.config.name in ("absabank-imm", "argumentation_sent", "dalaj-ged", "swefaq", "swewic", "swemnli", "swedn", "swepar"):
362
  data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,DATA_FOLDER,f"{_TASKS[self.config.name]}_train.{file_format}"))
363
  split_train = datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
358
  },
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  )
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  splits.append(split_dev)
361
+ if self.config.name in ("absabank-imm", "argumentation_sent", "dalaj-ged", "swefaq", "swewic", "swemnli", "swedn", "swepar", "swesim", "swesat", "sweana"):
362
  data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,DATA_FOLDER,f"{_TASKS[self.config.name]}_train.{file_format}"))
363
  split_train = datasets.SplitGenerator(
364
  name=datasets.Split.TRAIN,