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Datasets:
AI-Sweden
/
SuperLim

Tasks:
Question Answering
Text Classification
Other
Languages:
Swedish
Multilinguality:
monolingual
Tags:
Dataset card Viewer Files Community
4
Severine commited on
Commit
7732f67
•
1 Parent(s): 9b4758c

update

Browse files
Files changed (29) hide show
  1. SuperLim.py +1 -0
  2. data/SweAna/dev.csv +0 -0
  3. data/SweAna/train.csv +0 -0
  4. data/SweDiag/dev.csv +0 -0
  5. data/SweDiag/train.csv +0 -0
  6. data/SweFaq/dev.csv +0 -0
  7. data/SweFaq/train.csv +0 -0
  8. data/SweFracas/dev.csv +0 -0
  9. data/SweFracas/train.csv +0 -0
  10. data/SwePar/dev.csv +0 -0
  11. data/SwePar/train.csv +0 -0
  12. data/SweSat/dev.csv +0 -0
  13. data/SweSat/train.csv +0 -0
  14. data/SweSim_relatedness/dev.csv +0 -0
  15. data/{SweSim → SweSim_relatedness}/test_relatedness.csv +0 -0
  16. data/SweSim_relatedness/train.csv +0 -0
  17. data/SweSim_similarity/dev.csv +0 -0
  18. data/{SweSim → SweSim_similarity}/test_similarity.csv +0 -0
  19. data/SweSim_similarity/train.csv +0 -0
  20. data/SweWgr/.~lock.test.csv# +1 -0
  21. data/SweWgr/dev.csv +0 -0
  22. data/SweWgr/test.csv +0 -0
  23. data/SweWgr/test.jsonl +0 -0
  24. data/SweWgr/train.csv +0 -0
  25. data/SweWic/dev.csv +0 -0
  26. data/SweWic/train.csv +0 -0
  27. data/SweWsc/dev.csv +0 -0
  28. data/SweWsc/train.csv +0 -0
  29. dataset_infos.json +1 -0
SuperLim.py CHANGED
@@ -212,6 +212,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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  #urls = _URLS[self.config.name]
 
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  data_dir_test = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"test.csv"))
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  data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"train.csv"))
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  data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"dev.csv"))
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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  #urls = _URLS[self.config.name]
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+
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  data_dir_test = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"test.csv"))
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  data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"train.csv"))
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  data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"dev.csv"))
data/SweAna/dev.csv ADDED
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data/SweAna/train.csv ADDED
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data/SweDiag/dev.csv ADDED
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data/SweDiag/train.csv ADDED
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data/SweFaq/dev.csv ADDED
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data/SweFaq/train.csv ADDED
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data/SweFracas/dev.csv ADDED
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data/SweFracas/train.csv ADDED
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data/SwePar/dev.csv ADDED
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data/SwePar/train.csv ADDED
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data/SweSat/dev.csv ADDED
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data/SweSat/train.csv ADDED
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data/SweSim_relatedness/dev.csv ADDED
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data/{SweSim → SweSim_relatedness}/test_relatedness.csv RENAMED
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data/SweSim_relatedness/train.csv ADDED
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data/SweSim_similarity/dev.csv ADDED
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data/{SweSim → SweSim_similarity}/test_similarity.csv RENAMED
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data/SweSim_similarity/train.csv ADDED
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data/SweWgr/.~lock.test.csv# ADDED
@@ -0,0 +1 @@
 
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+ ,severin,data,25.01.2022 14:43,file:///home/severin/.config/libreoffice/4;
data/SweWgr/dev.csv ADDED
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data/SweWgr/test.csv ADDED
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data/SweWgr/test.jsonl DELETED
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data/SweWgr/train.csv ADDED
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data/SweWic/dev.csv ADDED
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data/SweWic/train.csv ADDED
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data/SweWsc/dev.csv ADDED
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data/SweWsc/train.csv ADDED
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dataset_infos.json ADDED
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+ {"dalaj": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"original sentence": {"dtype": "string", "id": null, "_type": "Value"}, "corrected sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "super_lim", "config_name": "dalaj", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1006404, "num_examples": 3841, "dataset_name": "super_lim"}, "test": {"name": "test", "num_bytes": 116019, "num_examples": 444, "dataset_name": "super_lim"}, "validation": {"name": "validation", "num_bytes": 116903, "num_examples": 445, "dataset_name": "super_lim"}}, "download_checksums": {"https://huggingface.co/datasets/AI-Sweden/SuperLim/resolve/main/data/DaLAJ/test.csv": {"num_bytes": 142951, "checksum": "3ee26a9e5a6e4c506d61ef2bf042e1bb936e96096f0dcccfe19969074d0ad89a"}, "https://huggingface.co/datasets/AI-Sweden/SuperLim/resolve/main/data/DaLAJ/train.csv": {"num_bytes": 1253177, "checksum": "27b83a347272135dd8f6642815ef007d64c7d076f64a1ada87860fdc6729130b"}, "https://huggingface.co/datasets/AI-Sweden/SuperLim/resolve/main/data/DaLAJ/dev.csv": {"num_bytes": 145455, "checksum": "6972c2b8040981a452af73ecd2a2d14ba272ff7db3bfd6bd5819358691dd6a00"}}, "download_size": 1541583, "post_processing_size": null, "dataset_size": 1239326, "size_in_bytes": 2780909}}