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Add SRS-driven noun and adjective flashcards modeled on the existing verb flashcard flow: - SharedModels/Lexeme — catalog of non-verb vocab, frequency-ranked, with gender for nouns and optional example sentences. Seeded from a bundled vocab_lexemes.json built by Scripts/vocab/build_lexemes.py, which joins frequency.csv + es-en.data from a pinned doozan/spanish_data commit (CC-BY-SA: hermitdave/FrequencyWords + Wiktionary). 1,449 nouns and 600 adjectives, each with Wiktionary-sourced gender and (where available) an example sentence with English translation. - LexemeReviewCard + LexemeReviewStore — cloud-synced SM-2 SRS, keyed by partOfSpeech + lexemeId + drillMode so future drill modes can coexist. - LexemeSessionQueue + LexemePool — parallel to VocabSessionQueue; fresh cards sort by frequency rank. - LexemeStudyGroup — cloud-synced resumable session per (partOfSpeech, drillMode). - NounFlashcardPracticeView + AdjectiveFlashcardPracticeView — same flow as VocabFlashcardPracticeView: English prompt → tap to reveal Spanish → Again/Hard/Good/Easy. Nouns reveal with their article (la taza, el problema) so gender is taught alongside meaning, not as a separate quiz. Example sentence shown when present. CEFR-style level toggles: - LexemeLevel enum (A1/A2/B1/B2/C1+) derived from frequencyRank with standard Spanish-frequency-dictionary cutoffs (250/500/1000/2000). - UserProgress.selectedLexemeLevels — cloud-synced multi-select, defaults to A1+A2 on first launch. - SettingsView gains a "Vocabulary Levels" section with five toggles; the existing "Levels" section is renamed "Verb Levels" for clarity. - Due SRS cards always surface regardless of toggles. Disabling a level only stops new cards from that band entering the pool. PracticeView gets "Nouns" and "Adjectives" rows under "Books". DataLoader: new lexemeDataVersion gate that re-seeds the Lexeme table from vocab_lexemes.json independent of book seeding. project.yml lists the new JSON resource and the existing book_olly-vol2.json (which the previous build was silently excluding because xcodegen rewrote the project from project.yml). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Vocab catalog build
build_lexemes.py produces Conjuga/vocab_lexemes.json, the bundled catalog
of frequency-ranked Spanish nouns and adjectives that powers the Noun /
Adjective flashcard study modes.
Run
python3 build_lexemes.py
Downloads frequency.csv + es-en.data from a pinned commit of
doozan/spanish_data, caches them
under .cache/<commit>/, joins them, and writes the JSON. Re-running is
fast — only the join step happens after the first download.
Override defaults:
python3 build_lexemes.py --max-nouns 3000 --max-adjectives 1000
python3 build_lexemes.py --output /tmp/vocab.json
Data sources & attribution
All datasets are CC-licensed; the bundled catalog inherits CC-BY-SA. Credit in the app's About screen must read:
Vocabulary data: Wiktionary (CC-BY-SA), OpenSubtitles via FrequencyWords (CC-BY-SA 3.0).
frequency.csv— derived from hermitdave/FrequencyWords (OpenSubtitles corpus), packaged by doozan. License: CC-BY-SA 3.0.es-en.data— Spanish→English Wiktionary export in theenwiktionary_wordlistformat. License: CC-BY-SA.
The pinned doozan commit is at the top of build_lexemes.py
(DOOZAN_COMMIT). Bump it to refresh; the cache key includes the commit so
old data is auto-replaced.
Output shape
[
{
"baseForm": "casa",
"english": "house",
"partOfSpeech": "noun",
"gender": "f",
"frequencyRank": 142,
"exampleES": "La casa es grande",
"exampleEN": "The house is big"
},
...
]
Sorted by frequencyRank ascending so the fresh-card path in LexemePool
surfaces the most useful words first.