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@@ -298,4 +298,80 @@ configs:
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  path: sv/test-*
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  - split: full_train
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  path: sv/full_train-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: sv/test-*
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  - split: full_train
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  path: sv/full_train-*
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+ license: cc-by-sa-4.0
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+ task_categories:
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+ - text-classification
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+ language:
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+ - da
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+ - sv
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+ - nb
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+ - nn
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+ - 'no'
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+ - is
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+ - fo
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+ - en
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+ - de
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+ - nl
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+ pretty_name: ScaLA
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+
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+ # Dataset Card for ScaLA
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+
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+ ## Dataset Description
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+
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+ - **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected])
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+
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+ ### Dataset Summary
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+
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+ This dataset consists of documents and whether they are grammatically correct or not. It has been automatically generated using [this script](https://github.com/ScandEval/ScandEval/blob/main/src/scripts/create_scala.py), which corrupts documents from a universal dependencies treebank.
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+ ### Supported Tasks and Leaderboards
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+
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+ Evaluation of linguistic acceptability (binary classification on correct/incorrect) is the intended task for this dataset. Leaderboards are live [here](https://scandeval.com/).
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+
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+ ### Languages
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+
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+ The dataset is available in Danish (`da`), Swedish (`sv`), Norwegian Bokmål (`nb`), Norwegian Nynorsk (`nn`), Icelandic (`is`), Faroese (`fo`), German (`de`), Dutch (`nl`) and English (`en`).
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+
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+ ## Dataset Structure
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+
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+ An example from the dataset looks as follows.
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+
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+ ```
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+ {
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+ "text": "some text",
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+ "corruption_type": <null, "flip_neighbours" or "delete">,
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+ "label": <"incorrect" or "correct">
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `text`: a `string` feature.
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+ - `corruption_type`: a `string` or `null` feature.
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+ - `label`: a `string` feature.
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ There are very few linguistic acceptability datasets in the given languages.
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+
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+ ### Source Data
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+ The dataset has been collected from the [universal dependencies datasets](https://universaldependencies.org/) for the given languages.
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+
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+ ## Additional Information
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+ ### Dataset Curators
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+ [Dan Saattrup Nielsen](https://huggingface.co/saattrupdan) from the [The Alexandra
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+ Institute](https://alexandra.dk/)
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+
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+ ### Licensing Information
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+
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+ The dataset is licensed under the [CC0
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+ license](https://creativecommons.org/share-your-work/public-domain/cc0/).