DATA_LICENSE

The data artifact distributed with fojin-cli (fojin-parallels-*.sqlite[.gz])
is licensed CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/

## Source and attribution

Every cross-canon alignment in this artifact comes from Dharmamitra's
MITRA-parallel dataset. None of the alignments are fojin's own.

  Alignments:  Dharmamitra — https://dharmamitra.org
               MITRA-parallel — https://github.com/dharmamitra/mitra-parallel
               released CC BY-SA 4.0 (stated by Dharmamitra in that
               repository's v1/README.md, "License" section; the repository
               has no top-level LICENSE file)
  Packaging:   fojin.app — https://fojin.app

## Changes made by fojin (CC BY-SA 4.0 §3(a)(1)(B) change indication)

This artifact is an adaptation of MITRA-parallel, not a verbatim copy. The
alignment text itself is unaltered; what fojin added is a processing layer:

  - Linked each alignment to its Taishō number (cbeta_id), Chinese title
    (title_zh) and fascicle number (juan_num). MITRA-parallel v1 ships four
    TSV columns (src_segmentnr, src_original, tgt_segmentnr, tgt_original)
    and carries no title or fascicle field.
  - Added a normalized query column (zh_norm): 1:1 traditional-to-simplified
    character folding plus punctuation stripping, ruleset "t2s-char-1to1-v1".
  - Restructured the corpus into SQLite with an FTS5 trigram index, and
    dropped rows with an empty zh_text or foreign_text.

Per ShareAlike, this adapted artifact is distributed under the same license.

## Scope

This artifact contains MITRA cross-canon parallels ONLY. fojin's own curated
alignment_pairs are NOT included.

## Citation (requested by the dataset authors, not a license condition)

If you use this data in academic work, Dharmamitra asks that you cite the
MITRA paper:

  @article{nehrdich2026mitra,
    title={MITRA: A Large-Scale Parallel Corpus and Multilingual Pretrained
           Language Model for Machine Translation and Semantic Retrieval for
           Pāli, Sanskrit, Buddhist Chinese, and Tibetan},
    author={Sebastian Nehrdich and Kurt Keutzer},
    journal={arXiv preprint},
    year={2026},
    url={https://arxiv.org/pdf/2601.06400}
  }