Hugging Face's logo

Datasets:
alexandrainst
/
scala

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Danish
Swedish
Norwegian Bokmål
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
scala / README.md
saattrupdan's picture
saattrupdan
Update README.md
890966a verified
preview code
|
raw
history blame contribute delete
No virus
7.67 kB
metadata
dataset_info:
  - config_name: da
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 146694
        num_examples: 1024
      - name: val
        num_bytes: 33804
        num_examples: 256
      - name: test
        num_bytes: 276605
        num_examples: 2048
      - name: full_train
        num_bytes: 738488
        num_examples: 5352
    download_size: 703702
    dataset_size: 1195591
  - config_name: de
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 145852
        num_examples: 1024
      - name: val
        num_bytes: 38035
        num_examples: 256
      - name: test
        num_bytes: 295391
        num_examples: 2048
      - name: full_train
        num_bytes: 3784665
        num_examples: 26098
    download_size: 2609370
    dataset_size: 4263943
  - config_name: en
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 142432
        num_examples: 1024
      - name: val
        num_bytes: 33811
        num_examples: 256
      - name: test
        num_bytes: 276421
        num_examples: 2048
      - name: full_train
        num_bytes: 2065205
        num_examples: 15348
    download_size: 1490532
    dataset_size: 2517869
  - config_name: fo
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 146596
        num_examples: 1024
      - name: val
        num_bytes: 39001
        num_examples: 256
      - name: test
        num_bytes: 156312
        num_examples: 1024
      - name: full_train
        num_bytes: 164465
        num_examples: 1148
    download_size: 240821
    dataset_size: 506374
  - config_name: is
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 171843
        num_examples: 1024
      - name: val
        num_bytes: 42652
        num_examples: 256
      - name: test
        num_bytes: 347828
        num_examples: 2048
      - name: full_train
        num_bytes: 680496
        num_examples: 4008
    download_size: 665385
    dataset_size: 1242819
  - config_name: nb
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 129282
        num_examples: 1024
      - name: val
        num_bytes: 30779
        num_examples: 256
      - name: test
        num_bytes: 252311
        num_examples: 2048
      - name: full_train
        num_bytes: 3223287
        num_examples: 25908
    download_size: 2159785
    dataset_size: 3635659
  - config_name: nl
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 123042
        num_examples: 1024
      - name: val
        num_bytes: 30717
        num_examples: 256
      - name: test
        num_bytes: 249767
        num_examples: 2048
      - name: full_train
        num_bytes: 2230281
        num_examples: 18110
    download_size: 1551953
    dataset_size: 2633807
  - config_name: nn
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 137050
        num_examples: 1024
      - name: val
        num_bytes: 35422
        num_examples: 256
      - name: test
        num_bytes: 274470
        num_examples: 2048
      - name: full_train
        num_bytes: 3048722
        num_examples: 22768
    download_size: 2086411
    dataset_size: 3495664
  - config_name: sv
    features:
      - name: text
        dtype: string
      - name: corruption_type
        dtype: string
      - name: label
        dtype: string
    splits:
      - name: train
        num_bytes: 142715
        num_examples: 1024
      - name: val
        num_bytes: 36601
        num_examples: 256
      - name: test
        num_bytes: 278198
        num_examples: 2048
      - name: full_train
        num_bytes: 998332
        num_examples: 7434
    download_size: 810940
    dataset_size: 1455846
configs:
  - config_name: da
    data_files:
      - split: train
        path: da/train-*
      - split: val
        path: da/val-*
      - split: test
        path: da/test-*
      - split: full_train
        path: da/full_train-*
  - config_name: de
    data_files:
      - split: train
        path: de/train-*
      - split: val
        path: de/val-*
      - split: test
        path: de/test-*
      - split: full_train
        path: de/full_train-*
  - config_name: en
    data_files:
      - split: train
        path: en/train-*
      - split: val
        path: en/val-*
      - split: test
        path: en/test-*
      - split: full_train
        path: en/full_train-*
  - config_name: fo
    data_files:
      - split: train
        path: fo/train-*
      - split: val
        path: fo/val-*
      - split: test
        path: fo/test-*
      - split: full_train
        path: fo/full_train-*
  - config_name: is
    data_files:
      - split: train
        path: is/train-*
      - split: val
        path: is/val-*
      - split: test
        path: is/test-*
      - split: full_train
        path: is/full_train-*
  - config_name: nb
    data_files:
      - split: train
        path: nb/train-*
      - split: val
        path: nb/val-*
      - split: test
        path: nb/test-*
      - split: full_train
        path: nb/full_train-*
  - config_name: nl
    data_files:
      - split: train
        path: nl/train-*
      - split: val
        path: nl/val-*
      - split: test
        path: nl/test-*
      - split: full_train
        path: nl/full_train-*
  - config_name: nn
    data_files:
      - split: train
        path: nn/train-*
      - split: val
        path: nn/val-*
      - split: test
        path: nn/test-*
      - split: full_train
        path: nn/full_train-*
  - config_name: sv
    data_files:
      - split: train
        path: sv/train-*
      - split: val
        path: sv/val-*
      - split: test
        path: sv/test-*
      - split: full_train
        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

Dataset Summary

This dataset consists of documents and whether they are grammatically correct or not. It has been automatically generated using this script, 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.

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 for the given languages.

Additional Information

Dataset Curators

Dan Saattrup Nielsen from the The Alexandra Institute

Licensing Information

The dataset is licensed under the CC BY-SA 4.0 license.