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Publish TinyLlama Financial Form Normalizer instruction dataset
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{
"source_project": "fp_finetune_jsonl",
"source_file": "chat/all_combined.jsonl",
"source_sha256": "a67de5f91ce6a0943c532eed637b5b476f397080ec5cad6097a578bdd5acff0a",
"source_bytes": 1575780,
"matching_uploaded_copy": {
"project": "LLM_FINE_TUNE/finetune",
"file": "data/datasets/all_combined-uploaded-20260520-125234.jsonl",
"sha256": "827a3d763b2ef3477bcb96bbda8021c70526d78e86a0b92f589db3c4913a6da2",
"identical_parsed_records_and_order": true,
"byte_identical": false
},
"training_notebook_sha256": "e17b12c5d25b949fdb601b882604cfbb0a6142dcb13faa887b0219f39e44908e",
"training_notebook_recorded_examples": 3657,
"training_run_steps": 1374,
"training_epochs": 3,
"association": "Filename, exact example count, per-task contents, ordered matching uploaded copy, and notebook/checkpoint agreement support this snapshot. The original Colab run did not record a dataset checksum; exact historical byte identity is not proven.",
"original_creation_process": "Local task-specific instruction examples and short noisy/typo variants. No generation script or external dataset attribution accompanies this exact chat corpus; hand-authoring versus assisted generation is not established.",
"source_dates_local": {
"chat_file": "2026-05-20",
"training_notebook": "2026-05-21"
},
"publication_preparation": "Original chat JSONL bytes copied unchanged. Diagnostic test file also unchanged. No filtering, label correction, deduplication or new train/validation split."
}