Remove previous sref per-file upload before shard upload

sref/README.md

@@ -1,131 +0,0 @@
-# FreeStyle Dataset — sref split
-
-This subfolder is the cref+sref+target triplet export of the
-`cref_sref_oneig_filter_part1..part5` vault sources used by the VGO project.
-The layout is intentionally simple so that downstream readers can use the
-dataset **with nothing more than Python's standard library + Pillow + pandas**
-— DuckDB and the internal `vault` package are **not** required.
-
-## Contents
-
-```
-sref/
-├── README.md              # this file
-├── pairs.csv              # one row per (sequence_id, choice_id) — fully self-contained
-├── metadata.jsonl         # one row per sequence_id, preserves the original vault structure
-├── export_summary.json    # counts and export-time metadata
-└── images/<uu>/<image_uuid>.<ext>
-                           # deduplicated image pool. <uu> is the first two hex chars of the uuid.
-```
-
-- Exported sources: 5
-- `cref_sref_oneig_filter_part1`
-- `cref_sref_oneig_filter_part2`
-- `cref_sref_oneig_filter_part3`
-- `cref_sref_oneig_filter_part4`
-- `cref_sref_oneig_filter_part5`
-- Unique vault sequences exported: **417,761**
-- Rows in `pairs.csv` (= sequences × choices): **3,342,076**
-- Unique images in `images/`: **1,238,604**
-- Export wall-clock: started 2026-06-11T08:11:57.855884Z, finished 2026-06-11T08:33:59.192685Z
-
-## Schema — `pairs.csv`
-
-| Column | Description |
-| --- | --- |
-| `sequence_id` | Vault sequence UUID. Eight rows share the same id, one per choice. |
-| `choice_id` | 0..7. Index of the instruction × caption × language combination. |
-| `source` | One of `cref_sref_oneig_filter_part{1..5}`. |
-| `task_type` | Always `edit` for this export. |
-| `cref_image` / `sref_image` / `target_image` | Relative path inside this folder, e.g. `images/ab/ab12….webp`. Open with PIL. |
-| `cref_width` / `cref_height` / `sref_*` / `target_*` | Pixel dimensions reported by the vault. |
-| `instruction` / `instruction_index` | Instruction text + its vault-internal key (`sample_instruction_en_123` etc). |
-| `target_caption` / `target_caption_index` | Target image caption + its vault key (`captions/scene_3` etc). |
-| `content_trigger_words` / `style_trigger_words` | Trigger phrases attached to the content/style references. |
-| `message_formatter` | The original modality template, always `<image_0><image_1><text_0><text_1><image_2>`. |
-| `require_loss_json` | JSON list aligned with the formatter modalities — `[false, false, false, false, true]` for edit. |
-| `uri` | Vault-side original uri string. |
-| `create_time` | ISO-8601 timestamp recorded in the vault. |
-
-## Loading with pandas (no DuckDB needed)
-
-```python
-import pandas as pd
-from PIL import Image
-from pathlib import Path
-
-root = Path("/path/to/sref")          # local clone of this folder
-df = pd.read_csv(root / "pairs.csv")
-
-row = df.iloc[0]
-cref = Image.open(root / row["cref_image"])
-sref = Image.open(root / row["sref_image"])
-target = Image.open(root / row["target_image"])
-prompt = row["instruction"]
-caption = row["target_caption"]
-```
-
-To keep only English instructions:
-
-```python
-en_df = df[df["instruction_index"].str.endswith("_en_123")]
-```
-
-To deduplicate to one row per sequence (e.g. for visualizing pairs only):
-
-```python
-unique = df.drop_duplicates(subset="sequence_id")
-```
-
-## Loading with `datasets`
-
-```python
-from datasets import load_dataset
-
-ds = load_dataset(
-    "Blue2Giant/FreeStyle_Dataset",
-    data_files="sref/pairs.csv",
-    split="train",
-)
-```
-
-Image columns are stored as relative paths inside this folder. After cloning
-the repo (or using `huggingface_hub.snapshot_download`), resolve them against
-the local snapshot root.
-
-## Schema — `metadata.jsonl` (optional, for power users)
-
-Each line is a JSON object preserving the original vault structure for a
-single `sequence_id`. Useful if you need to:
-
-- Reconstruct the eight `sequence_choices` exactly as the trainer saw them.
-- Access the auxiliary texts that are not surfaced in `pairs.csv`, such as
-  `captions/scene_1`, `captions/scene_2`, `target_caption`, and the
-  per-language variants.
-
-```json
-{
-  "sequence_id": "...",
-  "source": "cref_sref_oneig_filter_part1",
-  "task_type": "edit",
-  "uri": "...",
-  "create_time": "2026-04-26T...",
-  "images": [{"id": "...", "index": "cref_0", "width": 1024, "height": 1024, "file_name": "images/.../....webp"}, ...],
-  "texts": [{"id": "...", "index": "...", "language": null, "content": "..."}, ...],
-  "choices": [{"choice_id": 0, "message_formatter": "<image_0><image_1><text_0><text_1><image_2>", "image_indices": ["cref_0", "sref_0", "target"], "text_indices": ["sample_instruction_cn_123", "captions/scene_3_en"], "require_loss": [false, false, false, false, true]}, ...],
-  "choices_weights": []
-}
-```
-
-## Image dedup
-
-Each image is stored once under its vault UUID, regardless of how many
-sequences reference it. `pairs.csv` rows for different sequences therefore
-reuse the same `cref_image` / `sref_image` paths whenever a cref/sref appears
-in multiple pairs — this is the intended dedup behaviour and **not** a bug.
-
-## License & provenance
-
-These triplets were assembled by sampling cref/sref references from internal
-collections; please refer to the parent repository's top-level dataset card
-for licensing.

sref/export_summary.json

@@ -1,31 +0,0 @@
-{
-  "config": "/data/vgo/xingpeng/new_vgo/Sref_Cref_MiniVGO/configs/data/0426_cref_sref_full_diffusion.yaml",
-  "vault_root": "/mnt/chengwei/vault/traindata/04-26",
-  "output_dir": "/mnt/jfs/gemini_sref_export",
-  "sources": [
-    "cref_sref_oneig_filter_part1",
-    "cref_sref_oneig_filter_part2",
-    "cref_sref_oneig_filter_part3",
-    "cref_sref_oneig_filter_part4",
-    "cref_sref_oneig_filter_part5"
-  ],
-  "per_source_total": {
-    "cref_sref_oneig_filter_part1": 84645,
-    "cref_sref_oneig_filter_part2": 80729,
-    "cref_sref_oneig_filter_part3": 83406,
-    "cref_sref_oneig_filter_part4": 84327,
-    "cref_sref_oneig_filter_part5": 84654
-  },
-  "exported_sequences": 417761,
-  "exported_sequences_this_run": 36833,
-  "exported_rows": 3342076,
-  "unique_images": 1238604,
-  "images_written_this_run": 105459,
-  "images_already_on_disk": 0,
-  "images_missing_in_vault": 0,
-  "sequences_skipped_resume": 0,
-  "sequences_skipped_no_target_images": 0,
-  "started_at": "2026-06-11T08:11:57.855884Z",
-  "finished_at": "2026-06-11T08:33:59.192685Z",
-  "limit": null
-}