|
--- |
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dataset_info: |
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- config_name: default |
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features: |
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- name: question |
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dtype: string |
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- name: index |
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dtype: int64 |
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- name: option-A |
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dtype: string |
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- name: option-B |
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dtype: string |
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- name: option-C |
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dtype: string |
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- name: correct |
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dtype: string |
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- name: origin |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 103251.0 |
|
num_examples: 605 |
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download_size: 43667 |
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dataset_size: 103251.0 |
|
- config_name: raw |
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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: 103906 |
|
num_examples: 605 |
|
download_size: 45297 |
|
dataset_size: 103906 |
|
configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- config_name: raw |
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data_files: |
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- split: train |
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path: raw/train-* |
|
--- |
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# Dataset Card for "citizenship-test-da" |
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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). |
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The dataset is released as an appendix to the thesis [''Are GLLMs Danoliterate? Benchmarking Generative NLP in Danish''](https://sorenmulli.github.io/thesis/thesis.pdf) and permission by SIRI for this specific purpose. |
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The PDF's are available on [SIRI's website](https://siri.dk/nyheder/?categorizations=9115). |
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The `default` configuration has been semi-automatically cleaned to remove PDF artifacts using the [Alvenir 3gram DSL language model](https://github.com/danspeech/danspeech/releases/tag/v0.02-alpha). |
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The examples were not deduplicated. |
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- Produced by: Søren Vejlgaard Holm under supervision of Lars Kai Hansen and Martin Carsten Nielsen. |
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- Usable for: Question Answering Evaluation. |
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- Contact: Søren Vejlgaard Holm at swiho@dtu.dk or swh@alvenir.ai. |