Where the text comes from, and what is still unconfirmed
A publicly readable text is not automatically free to republish or modify. Source, edition and licensing are recorded as separate facts, and nothing is presented as authorized until the rights are confirmed.
What this platform is for
Nepali readers have had no focused place to read the Tipiṭaka in Pāli beside Nepali. The closest existing reader offers a Nepali translation that is largely machine-generated and not fully proofread, presented inside a dense multilingual workspace.
This platform gives readers one calm place to read the Pāli with the Nepali, and gives qualified proofreaders a structured, traceable way to improve the Nepali. Reading is the primary experience. Canonical structure is preserved rather than reinvented, source identifiers stay stable, and published content is protected.
Where the text comes from
The intended Pāli source is the Vipassana Research Institute (VRI) edition of the Chaṭṭha Saṅgāyana Tipiṭaka. Its published terms permit non-commercial use with attribution to the Vipassana Research Institute. Whether modified Pāli may be republished, and how that interacts with community corrections, is not resolved. For that reason Pāli is read-only here.
The intended Nepali baseline comes from a Nepali translation added upstream in September 2026 that is largely machine-generated and has not been proofread. Rights in that translation text are unconfirmed, and no authorized API or bulk data feed has been verified.
Because none of those rights are settled, no canonical corpus has been imported. This build runs on the labelled sample dataset described below.
The sample dataset in this build
Everything currently readable here is a small, clearly labelled sample. It exists so the reading and correction workflow can be seen and used end to end. It is not the verified canonical corpus, and the Nepali is an illustrative baseline, not an authorized translation. Any passage in the sample can be corrected through the same reviewed workflow that the real corpus would use.
Sample records are flagged in the data itself, so replacing them with an authorized corpus is a separate, auditable import rather than an edit.