Download provenance/source.json from sraivante/Financial-Form-Normalization-Instructions: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
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https://huggingface.co/datasets/sraivante/Financial-Form-Normalization-Instructions/resolve/main/provenance/source.json
- Command line
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hf download hf://datasets/sraivante/Financial-Form-Normalization-Instructions/provenance/source.json
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curl -L -o source.json https://huggingface.co/datasets/sraivante/Financial-Form-Normalization-Instructions/resolve/main/provenance/source.json
1.54 kB
| { | |
| "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." | |
| } | |