Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Norwegian Bokmål
Size:
1K - 10K
License:
Update README.md
Browse files
README.md
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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# Dataset Card for Dataset Name
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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## Dataset Creation
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dataset (Rajpurkar et al., 2016) and the GermanQuAD data (Moller et al., 2021). These instructions were subsequently refined following regular
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meetings with the annotation team.
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The annotation guidelines provided to the annotators are available (here)[https://github.com/ltgoslo/NorQuAD/blob/main/guidelines.md].
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For annotation, we used the Haystack annotation tool which was designed for QA collection.
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#### Human validation
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In a separate stage, the annotators validated a subset of the NorQuAD dataset. In this phase each
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annotator replied to the questions created by the
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other annotator. We chose the question-answer
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pairs for validation at random. In total, 1378 questions from the set of question-answer pairs
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answered by validators.
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Two students of the Master’s program in Natural Language Processing at the University of Oslo,
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both native Norwegian speakers, created question-answer pairs from the collected passages. Each
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student received separate set of passages for annotation. The students received financial remuneration for their efforts and are co-authors of the
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paper describing the resource.
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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@inproceedings{
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ivanova2023norquad,
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title={NorQu{AD}: Norwegian Question Answering Dataset},
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year={2023},
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url={https://aclanthology.org/2023.nodalida-1.17.pdf}
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}
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**APA:**
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[More Information Needed]
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## Dataset Card Contact
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vladism@ifi.uio.no and liljao@ifi.uio.no
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path: data/validation-*
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- split: test
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path: data/test-*
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license: cc0-1.0
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task_categories:
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- question-answering
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language:
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- nb
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for Dataset Name
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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**Data Instances**
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```
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{
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"id": "1",
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"context": "This is a test context",
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"question": "This is a question",
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"answers": {
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"answer_start": [1],
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"text": ["This is an answer"]
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},
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}
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```
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**Data Fields**
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```
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id: a string feature.
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context: a string feature.
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question: a string feature.
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answers: a dictionary feature containing:
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text: a string feature.
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answer_start: a int32 feature.
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```
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**Dataset Splits**
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NorQuAD consists of training (3808 examples), validation (472), and public test (472) sets.
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## Dataset Creation
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dataset (Rajpurkar et al., 2016) and the GermanQuAD data (Moller et al., 2021). These instructions were subsequently refined following regular
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meetings with the annotation team.
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The annotation guidelines provided to the annotators are available (here)[https://github.com/ltgoslo/NorQuAD/blob/main/guidelines.md].
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For annotation, we used the Haystack annotation tool, which was designed for QA collection.
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#### Human validation
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In a separate stage, the annotators validated a subset of the NorQuAD dataset. In this phase, each
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annotator replied to the questions created by the
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other annotator. We chose the question-answer
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pairs for validation at random. In total, 1378 questions from the set of question-answer pairs were
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answered by validators.
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Two students of the Master’s program in Natural Language Processing at the University of Oslo,
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both native Norwegian speakers, created question-answer pairs from the collected passages. Each
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student received a separate set of passages for annotation. The students received financial remuneration for their efforts and are co-authors of the
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paper describing the resource.
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```
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@inproceedings{
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ivanova2023norquad,
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title={NorQu{AD}: Norwegian Question Answering Dataset},
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year={2023},
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url={https://aclanthology.org/2023.nodalida-1.17.pdf}
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}
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```
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**APA:**
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[More Information Needed]
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## Dataset Card Contact
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vladism@ifi.uio.no and liljao@ifi.uio.no
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