Upload HF checklist
Browse files- cref_sref/HF_UPLOAD_CHECKLIST.md +104 -0
cref_sref/HF_UPLOAD_CHECKLIST.md
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# HF Upload Checklist
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This checklist is for uploading `/mnt/jfs/vgo_hf_exports/0426_lora_triplet_normalized` to Hugging Face.
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Recommended repository layout:
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- repository root: `README.md`
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- dataset payload: `cref_sref/`
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## Export Status
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All three source exports completed successfully.
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- `qwen`: `33,582 / 33,582` sequences
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- `flux`: `273,682 / 273,682` sequences
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- `illustrious`: `172,589 / 172,589` sequences
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## Files To Upload
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Required:
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- `README.md`
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- `cref_sref/HF_UPLOAD_CHECKLIST.md`
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- `cref_sref/README.md`
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- `cref_sref/qwen/`
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- `cref_sref/flux/`
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- `cref_sref/illustrious/`
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Do not upload:
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- `logs/`
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Inside each source directory under `cref_sref/`, keep:
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- `README.md`
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- `summary.json`
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- `triplets.csv`
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- `content_images.csv`
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- `style_images.csv`
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- `target_images.csv`
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- `images/`
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## Internal State
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`_state/` is not required for ordinary dataset use.
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You have two valid choices:
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1. Keep `_state/` in the upload if you want resume/debug provenance bundled with the release.
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2. Exclude `_state/` from the upload if you want a cleaner consumer-facing dataset layout.
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Recommended:
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- Keep `_state/` in the backup/archive copy.
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- Exclude `_state/` from the public Hugging Face dataset unless you explicitly want to expose internal resume state.
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- Exclude top-level `logs/` from the public Hugging Face dataset.
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## Pre-Upload Sanity Checks
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- `triplets.csv` row count matches `summary.json.exported_sequences`
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- `content_images.csv` row count matches `summary.json.unique_content_images`
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- `style_images.csv` row count matches `summary.json.unique_style_images`
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- `target_images.csv` row count matches `summary.json.unique_target_images`
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- each source `summary.json` exists
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- each source `README.md` exists
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- image files are present under `images/content`, `images/style`, `images/target`
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## Consumer Guidance
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Tell users to start from:
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- source-level `README.md`
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- `triplets.csv`
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Tell users that:
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- `triplets.csv` is sequence-level
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- `*_images.csv` files are deduplicated image-level metadata
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- image paths inside `triplets.csv` are relative to the source directory
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- `original_path` and prompt recovery fields are best-effort provenance, not guaranteed for every row
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## Match Coverage Notes
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The dataset intentionally keeps unmatched rows rather than forcing incorrect provenance.
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Expected status values include:
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- `match_status=matched`
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- `match_status=unmatched`
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- `match_status=ambiguous`
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- `match_status=no_candidates`
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Expected prompt states include:
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- `prompt_status=resolved`
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- `prompt_status=unmatched_original`
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- `prompt_status=missing_prompt_payload`
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- `prompt_status=missing_prompt_entry`
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## Suggested Public Description
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Suggested short description:
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> Normalized lora-triplet training export from the 0426 cref/sref diffusion configuration, with deduplicated images, sequence-level triplets, and best-effort original prompt provenance.
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