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TecDec - Labels

Description: The TecDec dataset consists of Japanese texts, primarily policy-oriented or related to policy debates, labeled for technocratic versus deliberative frames. The dataset was created using a teacher-student paradigm with Human-in-the-Loop (HITL) active learning and includes both synthetic and human-generated samples.

Language: Japanese

Task Categories:

  • Text Classification: Binary classification (technocratic vs. deliberative).

Data Collection:

This dataset contains a modified subset of the llm-jp-corpus-v4 (available at llm-jp-corpus-v4).

The original data is licensed under CC-BY 4.0, CC-BY-SA 4.0, MIT, and ODC-BY 1.0.

Changes made:

  • Extracted a specific sub-portion of the original records (for the Japanese language).
  • Created synthetic data based on the original records.
  • Added custom labels for deep learning training.
  • Cleaned/formatted for use with spaCy.

Note: This project is an independent derivative and is not endorsed by llm-jp-corpus-v4 creators.

Data Distribution: The dataset includes both synthetic and human-generated samples.

Usage: The dataset is intended for use in computational linguistics and Computational Critical Discourse Analysis (CCDA), particularly for analyzing policy discourse.

Model: ugo86/ja_tecdec_labeler

GitHub: https://github.com/ugodevkit/tecdec

License: ODBL-10

Limitations: The dataset is specialized for Japanese policy texts and may not generalize to other languages or domains without proper adaptation.

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