citizenship-test-da / README.md
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metadata
dataset_info:
  - config_name: default
    features:
      - name: question
        dtype: string
      - name: index
        dtype: int64
      - name: option-A
        dtype: string
      - name: option-B
        dtype: string
      - name: option-C
        dtype: string
      - name: correct
        dtype: string
      - name: origin
        dtype: string
    splits:
      - name: train
        num_bytes: 103410
        num_examples: 605
    download_size: 43395
    dataset_size: 103410
  - config_name: pdf-text-cleaned
    features:
      - name: question
        dtype: string
      - name: index
        dtype: int64
      - name: option-A
        dtype: string
      - name: option-B
        dtype: string
      - name: option-C
        dtype: string
      - name: correct
        dtype: string
      - name: origin
        dtype: string
    splits:
      - name: train
        num_bytes: 103410
        num_examples: 605
    download_size: 43395
    dataset_size: 103410
  - config_name: raw
    features:
      - name: question
        dtype: string
      - name: index
        dtype: int64
      - name: option-A
        dtype: string
      - name: option-B
        dtype: string
      - name: option-C
        dtype: string
      - name: correct
        dtype: string
      - name: origin
        dtype: string
    splits:
      - name: train
        num_bytes: 104046
        num_examples: 605
    download_size: 45303
    dataset_size: 104046
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: pdf-text-cleaned
    data_files:
      - split: train
        path: pdf-text-cleaned/train-*
  - config_name: raw
    data_files:
      - split: train
        path: raw/train-*

[WIP] Dataset Card for "citizenship-test-da"

Please note that this dataset and dataset card both are works in progress.

This dataset contains scraped questions and answers from Danish citizen tests (Danish: indfødsretsprøver og medborgerskabsprøver) from Juni 2019 to May 2023 from PDF's produced by ''Styrelsen for International Rekruttering og Integration'' (SIRI).

The PDF's are available on SIRI's website.

The default configuration has been semi-automatically cleaned to remove PDF artifacts using the Alvenir 3gram DSL language model.

The examples were not deduplicated.