Datasets:
File size: 7,670 Bytes
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---
dataset_info:
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data_files:
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path: sv/val-*
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path: sv/test-*
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path: sv/full_train-*
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- da
- sv
- nb
- nn
- 'no'
- is
- fo
- en
- de
- nl
pretty_name: ScaLA
size_categories:
- 100K<n<1M
---
# Dataset Card for ScaLA
## Dataset Description
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected])
### Dataset Summary
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.
### Supported Tasks and Leaderboards
Evaluation of linguistic acceptability (binary classification on correct/incorrect) is the intended task for this dataset. Leaderboards are live [here](https://scandeval.com/).
### Languages
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`).
## Dataset Structure
An example from the dataset looks as follows.
```
{
"text": "some text",
"corruption_type": <null, "flip_neighbours" or "delete">,
"label": <"incorrect" or "correct">
}
```
### Data Fields
- `text`: a `string` feature.
- `corruption_type`: a `string` or `null` feature.
- `label`: a `string` feature.
## Dataset Creation
### Curation Rationale
There are very few linguistic acceptability datasets in the given languages.
### Source Data
The dataset has been collected from the [universal dependencies datasets](https://universaldependencies.org/) for the given languages.
## Additional Information
### Dataset Curators
[Dan Saattrup Nielsen](https://huggingface.co/saattrupdan) from the [The Alexandra
Institute](https://alexandra.dk/)
### Licensing Information
The dataset is licensed under the [CC BY-SA 4.0
license](https://creativecommons.org/licenses/by-sa/4.0/). |