FineWeb2-Edu-JA-EN: Japanese-English Parallel Dataset

FineWeb2-Edu-JA-EN is a high-quality, information-rich Japanese-English parallel corpus curated specifically for educational and academic domains. It is derived from a subset of hotchpotch/fineweb-2-edu-japanese, which was filtered, clustered, and translated into English using Google Translate.

• Original Dataset: hotchpotch/fineweb-2-edu-japanese
• Size: 2,168 rows
• License: ODC-BY

Dataset Creation & Methodology

To extract high-quality, text-dense educational pairs, the following pipeline was used:

1. Embedding & Clustering: 300,000 random rows from the original dataset were embedded using tohoku-nlp/bert-base-japanese-v3 and grouped via hierarchical clustering.
2. Translation: The text blocks were machine-translated into English using Google Translate.
3. Filtering: The raw machine translations were filtered, resulting in a highly curated final set of 2,168 clean, parallel translation pairs.

Dataset Structure

Data Fields

Every sample in the dataset contains the following three fields:

• id (string): The unique text identifier mapped directly from the original FineWeb-2 dataset.
• ja (string): The original, high-quality educational Japanese text.
• en (string): The corresponding English translation generated via Google Translate.

Data Sample

{
  "id": "<urn:uuid:98837885-9feb-4b08-b1ac-2dc0ebd77c60>",
  "ja": "全国都道府県教育委員会連合会というのがある。 http://www.kyoi-ren.gr.jp/index.htmlnこの略称「キョ～イ連」には...",
  "en": "There is an organization called the National Federation of Prefectural Boards of Education. http://www.kyoi-ren.gr.jp/index.htmlnThis abbreviation \"Kyo-i-ren\" also has..."
}

Limitations & Scope

• Size vs. Quality: The dataset is small (2,168 rows) but prioritizes dense, informative content over sheer volume.
• Domain Specificity: The corpus heavily skews toward general academic contexts and education-related prose. It's not focused on:
  • Casual or everyday conversations.
  • Pop culture (Anime, Manga, J-Pop, Gaming).
  • Highly specialized domains (e.g., rigid legal text, advanced medical terminology).
• Machine Translation Artifacts: Because English targets were generated using Google Translate, minor systemic fluency issues, literal translation artifacts, or minor formatting/spacing anomalies may be present.
• No Post-Processing: To preserve the raw performance and nuances of the translation layout, no additional automated anonymization or aggressive post-filtering was applied to the text.

Licence & Acknowledgements

• This dataset is distributed under the Open Data Commons Attribution License (ODC-BY).
• We would like to express our sincere gratitude to the creators of the original hotchpotch/fineweb-2-edu-japanese dataset.