Update README.md

README.md

@@ -22,6 +22,10 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- question-answering
+language:
+- 'no'
 ---
 
 # Norwegian Medical Question Answering Dataset (NorMedQA)
@@ -30,7 +34,7 @@ configs:
 
 ## Dataset Summary
 
-NorMedQA is a benchmark dataset comprising 1,241 medical question-and-answer pairs in Norwegian (Bokmål and Nynorsk). Designed to evaluate large language models (LLMs) on medical knowledge retrieval and reasoning within the Norwegian context, the dataset is structured in JSON format. Each entry includes the source document name, question number (where available), question text, and reference answer text. The content originates from publicly available sources containing medical exam questions and has undergone cleaning and preprocessing. NorMedQA is suitable for use within evaluation frameworks such as `lm-evaluation-harness`.
+NorMedQA is a benchmark dataset comprising 1,401 medical question-and-answer pairs in Norwegian (Bokmål and Nynorsk). Designed to evaluate large language models (LLMs) on medical knowledge retrieval and reasoning within the Norwegian context, the dataset is structured in JSON format. Each entry includes the source document name, question number (where available), question text, reference answer text, and additional distractor answers. The content originates from publicly available sources containing medical exam questions and has undergone cleaning and preprocessing.
 
 ## Supported Tasks and Leaderboards
 
@@ -48,16 +52,17 @@ NorMedQA is a benchmark dataset comprising 1,241 medical question-and-answer pai
 
 Each data instance is a JSON object with the following fields:
 
+- `question`: The medical question in Norwegian.
+- `answer`: The correct answer text in Norwegian.
+- `wrong_answers`: A list of distractor (incorrect) answers in Norwegian.
 - `source_file`: Name of the source document.
 - `question_number`: Identifier for the question (if available).
-- `question_text`: The medical question in Norwegian.
-- `answer_text`: The reference answer text in Norwegian.
 
 ### Data Splits
 
 The dataset is provided as a single split:
 
-- `train`: 1,241 examples
+- `train`: 1,401 examples
 
 ## Dataset Creation
 
@@ -71,7 +76,7 @@ Questions and answers were sourced from publicly available Norwegian medical exa
 
 ### Annotation Process
 
-The dataset entries were derived from existing exam materials, with cleaning and formatting applied to structure the data appropriately.
+The dataset entries were derived from existing exam materials, with cleaning and formatting applied to structure the data appropriately. Additional distractor answers were generated or identified to support multiple-choice evaluation.
 
 ## Usage
 
@@ -81,7 +86,7 @@ NorMedQA can be used to evaluate the performance of LLMs on medical question ans
 
 If you use NorMedQA in your research, please cite the following:
 
-Riegler, M. A. (2025). Norwegian Medical Question Answering Dataset - NorMedQA [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15320038
+Riegler, M. A. (2025). Norwegian Medical Question Answering Dataset - NorMedQA [Data set].
 
 ## License
 
@@ -89,6 +94,5 @@ This dataset is licensed under the Creative Commons Attribution 4.0 Internationa
 
 ## Additional Information
 
-- **Zenodo Record**: [https://zenodo.org/records/15320038](https://zenodo.org/records/15320038)
 - **GitHub Repository**: [https://github.com/kelkalot/normedqa](https://github.com/kelkalot/normedqa)
 - **Hugging Face Dataset Page**: [https://huggingface.co/datasets/SimulaMet/NorMedQA](https://huggingface.co/datasets/SimulaMet/NorMedQA)