Update README.md

README.md

@@ -7,4 +7,33 @@ language:
 - ja
 size_categories:
 - 10K<n<100K
----
+---
+
+# Overview
+This dataset provides a convenient and user-friendly format of data from Aozora Bunko (青空文庫), a website that compiles public-domain books in Japan, ideal for Machine Learning applications.
+
+# Methodology
+
+## 1. Data collection
+We firstly downloaded the [CSV file that lists all works](https://www.aozora.gr.jp/index_pages/person_all.html). The information extracted from this CSV is incorporated into the `meta` field.
+Next, we filtered out any books not categorized as public domain.
+We retrieved the main text of each book corresponding to every row in the CSV and incorporated it into the `text` field.
+
+## 2. Deduplication
+We removed entries where the `図書カードURL` (Library card URL) in this CSV did not coincide with the `作品ID` (Work ID) and `人物ID` (Person ID).
+Even in cases of match, rows with text identical to previously encountered text were discarded.
+
+## 3. Cleaning
+The data in the `text` field was then cleaned in the following sequence:
+
+1. Convert new lines to `\n`
+2. Remove headers
+3. Remove footnotes and add them to the `footnote` field
+4. Remove ruby (phonetic guides)
+5. Convert specific characters, such as foreign characters and iteration marks, into standard Unicode characters
+6. Convert inserted notes into regular parenthetical text
+7. Remove any remaining markup
+8. Remove leading and trailing whitespace and horizontal rules
+
+# License
+CC BY 4.0