Add runnable V1/V1.5 dependency-tree generation pipeline#1
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Implements the documented Math Word Problem Generator pipeline in pure
standard-library Python (no external deps, runs fully offline):
- variable_tree.py : stages 1-3 (random variables -> dependency tree ->
operation assignment -> ground-truth answer + answer_list)
- themes.py : stage 4 theme library (behavior/unit/noun categories)
- entity_library.py : stage 5 (V1.5) pre-built entity library
- renderer.py : stage 6 narrative (V1) + compact listing (V1.5) renderers
- validator.py : stage 7 classify -> recompute -> correct
- pipeline.py : end-to-end batch generation + dataset stats
- generate.py CLI, tests (28 passing), examples, USAGE.md
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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This PR fills in the previously code-less repo with a full, runnable reference implementation of the documented V1 / V1.5 Math Word Problem Generator pipeline.
What's included
Pure standard-library Python (no external dependencies, no API key, runs fully offline and deterministically with
--seed):src/mwp_v1/variable_tree.pyanswer_listsrc/mwp_v1/themes.pysrc/mwp_v1/entity_library.pysrc/mwp_v1/renderer.pyNarrativeRenderer(V1, optional LLM hook) +ListingRenderer(compact V1.5)src/mwp_v1/validator.pysrc/mwp_v1/pipeline.pygenerate.pyVerification
28 tests passing. Every accepted record's independently-recomputed answer equals the tree ground truth. Real samples in
examples/, architecture notes inUSAGE.md.🤖 Generated with Claude Code