Datasets:
license: cc-by-4.0
task_categories:
- text-generation
- text-classification
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. 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).
In addition, 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:
- Convert new lines to
\n
- Remove headers
- Remove footnotes and add them to the
footnote
field - Remove ruby (phonetic guides)
- Convert specific characters, such as external characters and iteration marks, into standard Unicode characters
- Convert inserted notes into regular parenthetical text
- Remove any remaining markup
- Remove leading and trailing whitespace and horizontal rules
License
CC BY 4.0