Hugging Face's logo

Datasets:
EQUES
/
YakugakuQA

Tasks:
Question Answering
Languages:
Japanese
Size:
1K<n<10K
Tags:
pharmacy
chemistry
biology
medical
License:
Dataset card Files Community
1
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 186, in _split_generators
                  raise ValueError("`file_name` must be present as dictionary key in metadata files")
              ValueError: `file_name` must be present as dictionary key in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YakugakuQA

YakugakuQA is a question answering dataset, consisting of 13 years (2012-2024) of past questions and answers from the Japanese National License Examination for Pharmacists. It contains over 4K pairs of questions, answers, and commentaries.

2024-12-10: Dataset release.

Dataset Details

Dataset Description

  • Curated by: EQUES Inc.
  • Funded by [optional]: GENIAC Project
  • Shared by [optional]:
  • Language(s) (NLP): Japanese
  • License: cc-by-4.0

Uses

Direct Use

YakugakuQA is intended to be used as a benchmark for evaluating the knowledge of large language models (LLMs) in the field of pharmacy.

Out-of-Scope Use

Any usage except above.

Dataset Structure

YakugakuQA consists of two files: data.jsonl, which contains the questions, answers, and commentaries, and metadata.jsonl, which holds supplementary information about the question categories and additional details related to the answers.

data.jsonl

  • "problem_id" : unique ID, represented by a six-digit integer. The higher three digits indicate the exam number, while the lower three digits represent the question number within that specific exam.
  • "problem_text" : problem statement.
  • "choices" : choices corresponding to each question. Note that the Japanese National License Examination for Pharmacists is a multiple-choice format examination.
  • "text_only" : whether the question includes images or tables. The corresponding images or tables are not included in this dataset, even if text_only is marked as false.
  • "answer" : list of indices of the correct choices. Note the following points:
    • the choices are 1-indexed.
    • multiple choices may be included, depending on the question format.
    • "解なし" indicates there is no correct choice. The reason for this is documented in metadata.jsonl in most cases.
  • "comment" : commentary text.
  • "num_images" : number of images included in the question.

metadata.jsonl

  • "problem_id" : see above.
  • "category" : question caterogy. One of the ["Physics", "Chemistry", "Biology", "Hygiene", "Pharmacology", "Pharmacy", "Pathology", "Law", "Practice"].
  • "note" : additional information about the question.

images

The image filenames follow the format:
problem_id_{image_id}.png

Dataset Creation

Curation Rationale

YakugakuQA aims to provide a Japanese-language evaluation benchmark for assessing the domain knowledge of LLMs.

Source Data

Data Collection and Processing

All questions, answers and commentaries for the target years have been collected. The parsing process has been performed automatically.

Who are the source data producers?

All question, answers, and commentaries have been obtained from yakugaku lab. All metadata has been obtained from the website of the Ministry of Health, Labour and Welfare. It should be noted that the original questions and answers are also sourced from materials published by the Ministry of Health, Labour and Welfare.

Citation

BibTeX:

Coming soon...

Contributions

Thanks to @shinnosukeono for adding this dataset.

Downloads last month
123