whaleprep/scripts
dev 3df1d62002 Add expand_seed and document data sourcing
scripts/expand_seed.py generates synthetic questions across the full JEE Main
syllabus taxonomy (15 chapters, 45 subtopics, correct MCQ/NUM split). Stems
are deliberately sparse so no-one mistakes them for NTA content.

DATA.md documents why there is no real scraper: NTA PDFs render questions as
images; pdftotext extracts only IDs. Every aggregator with structured data
built it through manual entry pipelines. The document lists realistic paths
to a real bank and the SQL schema for loading one.
2026-10-12 05:19:03 +05:30
..
audit_mobile.py Subtopic picker, JEE mode, per-subject timers 2026-10-12 05:13:09 +05:30
bench.py Honour RUST_LOG, add load and scale benchmarks 2026-10-11 21:08:35 +05:30
bench_scale.py Honour RUST_LOG, add load and scale benchmarks 2026-10-11 21:08:35 +05:30
bench_write.py Honour RUST_LOG, add load and scale benchmarks 2026-10-11 21:08:35 +05:30
expand_seed.py Add expand_seed and document data sourcing 2026-10-12 05:19:03 +05:30
shots.py Make the exam screen work on a phone 2026-10-11 21:54:17 +05:30