Datasets:

globis-university
/

aozorabunko-clean

Tasks:

Text Generation

Text Classification

Modalities:

Formats:

Languages:

Size:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

akeyhero commited on Jul 25, 2023

Commit

5f343b0

•

1 Parent(s): bafeff3

Update README.md

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@@ -21,7 +21,7 @@ We retrieved the main text of each book corresponding to every row in the CSV an
 ## 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:

 ## 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: