Upload 4 files

README.md

@@ -0,0 +1,126 @@
+---
+license: cc-by-4.0
+task_categories:
+- question-answering
+language:
+- ja
+tags:
+- pharmacy
+- chemistry
+- biology
+- medical
+pretty_name: YakugakuQA
+size_categories:
+- 1K<n<10K
+---
+
+# YakugakuQA
+
+<!-- Provide a quick summary of the dataset. -->
+
+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.
+
+**2025-2-17: Image data added.**  
+
+**2024-12-10: Dataset release.**
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Curated by:** EQUES Inc.
+- **Funded by [optional]:** [GENIAC Project](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html)
+- **Shared by [optional]:**
+- **Language(s) (NLP):** Japanese
+- **License:** cc-by-4.0
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+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
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+Any usage except above.
+
+## Dataset Structure
+
+<!-- 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. -->
+
+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
+
+<!-- Motivation for the creation of this dataset. -->
+
+YakugakuQA aims to provide a Japanese-language evaluation benchmark for assessing the domain knowledge of LLMs.
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+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?
+
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+
+All question, answers, and commentaries have been obtained from [yakugaku lab](https://yakugakulab.info/). 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
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+```
+Coming soon...
+```
+
+## Contributions
+
+Thanks to [@shinnosukeono](https://github.com/shinnosukeono) for adding this dataset.
+
+## Acknowledgement
+
+本データセットは、経済産業省及び国立研究開発法人新エネルギー・産業技術総合開発機構（NEDO）による生成AI開発力強化プロジェクト「GENIAC」により支援を受けた成果の一部である。

gitattributes

@@ -0,0 +1,58 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text