Update README.md

README.md

@@ -27,7 +27,7 @@ YakugakuQA is a question answering dataset, consisting of 13 years (2012-2024) o
 
 - **Curated by:** EQUES Inc.
 - **Funded by [optional]:** [GENIAC Project](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html)
-- **Shared by [optional]:** [More Information Needed]
+- **Shared by [optional]:**
 - **Language(s) (NLP):** Japanese
 - **License:** cc-by-4.0
 
@@ -40,14 +40,11 @@ YakugakuQA is a question answering dataset, consisting of 13 years (2012-2024) o
 <!-- 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.
-[More Information Needed]
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
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 ## 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. -->
@@ -71,8 +68,7 @@ YakugakuQA consists of two files: `data.jsonl`, which contains the questions, an
 - "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.
-- 
-[More Information Needed]
+
 
 ## Dataset Creation
 
@@ -80,7 +76,7 @@ YakugakuQA consists of two files: `data.jsonl`, which contains the questions, an
 
 <!-- Motivation for the creation of this dataset. -->
 
-[More Information Needed]
+YakugakuQA aims to provide a Japanese-language evaluation benchmark for assessing the domain knowledge of LLMs.
 
 ### Source Data
 
@@ -90,47 +86,13 @@ YakugakuQA consists of two files: `data.jsonl`, which contains the questions, an
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-[More Information Needed]
+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. -->
 
-[More Information Needed]
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-### Annotations [optional]
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-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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-#### Annotation process
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-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-#### Who are the annotators?
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-<!-- This section describes the people or systems who created the annotations. -->
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-#### Personal and Sensitive Information
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-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-## Bias, Risks, and Limitations
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-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+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 [optional]
 
@@ -144,20 +106,6 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 [More Information Needed]
 
-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-## More Information [optional]
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-## Dataset Card Authors [optional]
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-## Dataset Card Contact
+## Contributions
 
-[More Information Needed]
+Thanks to @shinnosukeono for adding this dataset.