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@@ -34,6 +34,13 @@ configs:
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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
@@ -74,7 +81,34 @@ The dataset is intended to be used for NLP model development and benchmarking.
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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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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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@@ -135,15 +169,15 @@ The annotators were provided with a set of initial instructions, largely based o
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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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@@ -154,7 +188,7 @@ 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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@@ -164,7 +198,7 @@ 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},
@@ -173,6 +207,7 @@ booktitle={The 24th Nordic Conference on Computational Linguistics},
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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]
@@ -184,4 +219,4 @@ Vladislav Mikhailov and Lilja Øvrelid
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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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+ {
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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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+
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+ **Data Fields**
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+
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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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+
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+ **Dataset Splits**
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+
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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