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Synth Memorization Dataset
This package contains 260 verified Aider-format SFT rows: ten synthetic variants for each of the 26 source task families. It is intentionally built for an exact 100-epoch memorization experiment.
The training file is sft/train.jsonl. Every row uses the same nine-message
aider-chat-v1 structure as the successful SFT-v5 package. Tests are not
model-visible; the independent verifier replays each final assistant target
against its source C++ test suite.
Rebuild
python3 scripts/build_synth_memorization_dataset.py \
--tokenizer-json /path/to/GLM-4.7-Flash/tokenizer.json
Verify
python3 scripts/verify_synth_memorization_dataset.py
Train with the existing runner
MILES_CPP_AUTO_PREPARE_DATA=0 \
MILES_CPP_DATA_DIR=/path/to/reproductions/synth-memorization-dataset-v1 \
MILES_SFT_NUM_EPOCH=100 \
MILES_GLOBAL_BATCH_SIZE=20 \
MILES_ROLLOUT_BATCH_SIZE=20 \
bash examples/sft.sh
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