docs: Add readme

README.md

@@ -1,3 +1,146 @@
 ---
-license: cc-by-4.0
+pretty_name: ScandiQA
+language:
+- da
+- sv
+- no
+license:
+- cc-by-sa-4.0
+multilinguality:
+- multilingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- mkqa|natural_questions
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
 ---
+
+# Dataset Card for ScandiQA
+
+## Dataset Description
+
+- **Repository:** <https://github.com/alexandrainst/scandi-qa>
+- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
+- **Size of downloaded dataset files:** 69 MB
+- **Size of the generated dataset:** 67 MB
+- **Total amount of disk used:** 136 MB
+
+### Dataset Summary
+
+ScandiQA is a dataset of questions and answers in the Danish, Norwegian, and Swedish
+languages. All samples come from the Natural Questions (NQ) dataset, which is a large
+question answering dataset from Google searches. The Scandinavian questions and answers
+come from the MKQA dataset, where 10,000 NQ samples were manually translated into,
+among others, Danish, Norwegian, and Swedish. However, this did not include a
+translated context, hindering the training of extractive question answering models.
+
+We merged the NQ dataset with the MKQA dataset, and extracted contexts as either "long
+answers" from the NQ dataset, being the paragraph in which the answer was found, or
+otherwise we extract the context by locating the paragraphs which have the largest
+cosine similarity to the question, and which contains the desired answer.
+
+Further, many answers in the MKQA dataset were "language normalised": for instance, all
+date answers were converted to the format "YYYY-MM-DD", meaning that in most cases
+these answers are not appearing in any paragraphs. We solve this by extending the MKQA
+answers with plausible "answer candidates", being slight perturbations or translations
+of the answer.
+
+With the contexts extracted, we translated these to Danish, Swedish and Norwegian using
+the DeepL translation service for Danish and Swedish, and the Google Translation
+service for Norwegian. After translation we ensured that the Scandinavian answers do
+indeed occur in the translated contexts.
+
+As we are filtering the MKQA samples at both the "merging stage" and the "translation
+stage", we are not able to fully convert the 10,000 samples to the Scandinavian
+languages, and instead get roughly 8,000 samples per language. These have further been
+split into a training, validation and test split, with the former two containing
+roughly 750 samples. The splits have been created in such a way that the proportion of
+samples without an answer is roughly the same in each split.
+
+
+### Supported Tasks and Leaderboards
+
+Training machine learning models for extractive question answering is the intended task
+for this dataset. No leaderboard is active at this point.
+
+
+### Languages
+
+The dataset is available in Danish (`da`), Swedish (`sv`) and Norwegian (`no`).
+
+
+## Dataset Structure
+
+### Data Instances
+
+- **Size of downloaded dataset files:** 69 MB
+- **Size of the generated dataset:** 67 MB
+- **Total amount of disk used:** 136 MB
+
+An example from the `train` split of the `da` subset looks as follows.
+```
+{
+    'example_id': 123,
+    'question': 'Er dette en test?',
+    'answer': 'Dette er en test',
+    'answer_start': 0,
+    'context': 'Dette er en testkontekst.',
+    'answer_en': 'This is a test',
+    'answer_start_en': 0,
+    'context_en': "This is a test",
+    'title_en': 'Train test'
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `example_id`: an `int64` feature.
+- `question`: a `string` feature.
+- `answer`: a `string` feature.
+- `answer_start`: an `int64` feature.
+- `context`: a `string` feature.
+- `answer_en`:  a `string` feature.
+- `answer_start_en`: an `int64` feature.
+- `context_en`: a `string` feature.
+- `title_en`: a `string` feature.
+
+### Data Splits
+
+|   name   | train | validation | test |
+|----------|------:|-----------:|-----:|
+| da       | 6311  | 749        | 750  |
+| sv       | 6299  | 750        | 749  |
+| no       | 6314  | 749        | 750  |
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+The Scandinavian languages does not have any gold standard question answering dataset.
+This is not quite gold standard, but the fact both the questions and answers are all
+manually translated, it is a solid silver standard dataset.
+
+### Source Data
+
+The original data was collected from the [MKQA](https://github.com/apple/ml-mkqa/) and
+[Natural Questions](https://ai.google.com/research/NaturalQuestions) datasets from
+Apple and Google, respectively.
+
+
+## Additional Information
+
+### Dataset Curators
+
+[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra
+Institute](https://alexandra.dk/) curated this dataset.
+
+### Licensing Information
+
+The dataset is licensed under the [CC BY-SA 4.0
+license](https://creativecommons.org/licenses/by-sa/4.0/).