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  1. Clarify MTS-Dialog fact coverage

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  2. Document current reproducible training inputs

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  1. Upload dpo_sft_r128/train (5312 rows)

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  2. Upload kto_sft_r128/train (10624 rows)

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  3. Upload dpo_sft/train (5312 rows)

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  4. Upload kto_sft/train (10624 rows)

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  5. Remove dpo_sft/test2_dpo_chat_format.jsonl (archived)

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  6. Archive dpo_sft/test2_dpo_chat_format.jsonl

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  7. Remove dpo_sft/test1_dpo_chat_format.jsonl (archived)

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  8. Archive dpo_sft/test1_dpo_chat_format.jsonl

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  9. Remove dpo_sft/validation_dpo_chat_format.jsonl (archived)

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  10. Archive dpo_sft/validation_dpo_chat_format.jsonl

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  11. Remove dpo_sft/train_dpo_chat_format.jsonl (archived)

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  12. Archive dpo_sft/train_dpo_chat_format.jsonl

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  13. Remove kto_sft/test2_kto_chat_format.jsonl (archived)

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  14. Archive kto_sft/test2_kto_chat_format.jsonl

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  15. Remove kto_sft/test1_kto_chat_format.jsonl (archived)

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  16. Archive kto_sft/test1_kto_chat_format.jsonl

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  17. Remove kto_sft/validation_kto_chat_format.jsonl (archived)

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  18. Archive kto_sft/validation_kto_chat_format.jsonl

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  19. Remove kto_sft/train_kto_chat_format.jsonl (archived)

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  20. Archive kto_sft/train_kto_chat_format.jsonl

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  1. Approved dialogues list (1700 use, 1 excluded)

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  2. Remove manually extracted facts for dialogue 1115. Will use approved dialogues list instead.

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  3. Add manually extracted facts for dialogue 1115. Dialogue 1115 (a 9000-char multi-doctor consultation) could not be extracted by GLM-5.2 after all retry rounds. Facts were manually extracted from the MTS-Dialog gold section_text (doctor-written medical summary), following the same fact format as GLM-5.2. With this, all 1201 training dialogues have facts. No downstream script needs to handle missing facts.

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  4. Remove old dpo_sft1/test2_dpo_chat_format.jsonl

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  5. Move dpo_sft1/test2_dpo_chat_format.jsonl → archive/dpo_sft1/test2_dpo_chat_format.jsonl

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  6. Remove old dpo_sft1/test1_dpo_chat_format.jsonl

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  7. Move dpo_sft1/test1_dpo_chat_format.jsonl → archive/dpo_sft1/test1_dpo_chat_format.jsonl

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  8. Remove old dpo_sft1/validation_dpo_chat_format.jsonl

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  9. Move dpo_sft1/validation_dpo_chat_format.jsonl → archive/dpo_sft1/validation_dpo_chat_format.jsonl

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  10. Remove old dpo_sft1/train_dpo_chat_format.jsonl

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  11. Move dpo_sft1/train_dpo_chat_format.jsonl → archive/dpo_sft1/train_dpo_chat_format.jsonl

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  12. Remove old kto_sft1/eval/train_negatives_geval_summary.json

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  13. Move kto_sft1/eval/train_negatives_geval_summary.json → archive/kto_sft1/eval/train_negatives_geval_summary.json

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  14. Remove old kto_sft1/eval/train_negatives_geval.jsonl

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  15. Move kto_sft1/eval/train_negatives_geval.jsonl → archive/kto_sft1/eval/train_negatives_geval.jsonl

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  16. Remove old kto_sft1/eval/train_negatives_candidates.jsonl

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  17. Move kto_sft1/eval/train_negatives_candidates.jsonl → archive/kto_sft1/eval/train_negatives_candidates.jsonl

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  18. Remove old kto_sft1/test2_kto_chat_format.jsonl

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  19. Move kto_sft1/test2_kto_chat_format.jsonl → archive/kto_sft1/test2_kto_chat_format.jsonl

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  20. Remove old kto_sft1/test1_kto_chat_format.jsonl

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  21. Move kto_sft1/test1_kto_chat_format.jsonl → archive/kto_sft1/test1_kto_chat_format.jsonl

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  22. Remove old kto_sft1/validation_kto_chat_format.jsonl

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  23. Move kto_sft1/validation_kto_chat_format.jsonl → archive/kto_sft1/validation_kto_chat_format.jsonl

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  24. Remove old kto_sft1/train_kto_chat_format.jsonl

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  25. Move kto_sft1/train_kto_chat_format.jsonl → archive/kto_sft1/train_kto_chat_format.jsonl

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  26. Remove old dpo_base/test2_dpo_chat_format.jsonl

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  27. Move dpo_base/test2_dpo_chat_format.jsonl → archive/dpo_base/test2_dpo_chat_format.jsonl

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  28. Remove old dpo_base/test1_dpo_chat_format.jsonl

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