Datasets:

Agnania
/

NursData-MCQ

license: cc-by-4.0
language:
  - zh
task_categories:
  - question-answering
  - text-generation
task_ids:
  - multiple-choice-qa
pretty_name: NursData-MCQ
size_categories:
  - 1K<n<10K

NursData-MCQ

Dataset Description

NursData-MCQ is a Chinese nursing multiple-choice benchmark for evaluating large language models in fundamental nursing knowledge and nursing-domain reasoning. It was used as the automated evaluation dataset in the EviNurse study.

EviNurse is a domain-specific large language model for evidence-based nursing, developed on Qwen3-32B with supervised fine-tuning and retrieval-augmented generation. In the manuscript, automated evaluation was conducted with 3,438 multiple-choice questions to assess the model's basic nursing capability and compare it with general-purpose LLMs.

Project code is available at:

https://github.com/Creeper12345/EviNurse

Model:

https://huggingface.co/Agnania/EviNurse-32B

Dataset File

File	Split	Questions	Description
`evinurse_automated_eval_3438.json`	test	3,438	Chinese nursing multiple-choice benchmark for automated evaluation.

Data Fields

Each record contains:

{
  "id": "question identifier",
  "question": "question stem",
  "options": {
    "A": "option A",
    "B": "option B",
    "C": "option C",
    "D": "option D",
    "E": "option E"
  },
  "answer": "standard answer"
}

Download

Download the complete dataset with:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="Agnania/NursData-MCQ",
    repo_type="dataset"
)

Alternatively, using the Hugging Face CLI:

hf download Agnania/NursData-MCQ \
  --repo-type dataset

You can also load the JSON file directly:

import json
from pathlib import Path

path = Path("evinurse_automated_eval_3438.json")
with path.open(encoding="utf-8") as f:
    data = json.load(f)

print(len(data))  # 3438
print(data[0])

Evaluation

For automated multiple-choice evaluation, a model should output one final option letter. Accuracy is calculated by exact match against the answer field.

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).