Datasets:

globis-university
/

aozorabunko-clean

Tasks:

Text Generation

Text Classification

Modalities:

Formats:

Languages:

Size:

Libraries:

License:

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akeyhero commited on Oct 20, 2023

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@@ -19,7 +19,7 @@ The code to reproduce this dataset is made available on GitHub: [globis-org/aozo
 ## 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 match with the `作品ID` (Work ID) and `人物ID` (Person ID).

 ## 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 in UTF-8.
 ## 2. Deduplication
 We removed entries where the `図書カードURL` (Library card URL) in this CSV did not match with the `作品ID` (Work ID) and `人物ID` (Person ID).