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.gitattributes

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README.md

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+
+
+
+
+We provide two prompt sources (`diffusiondb` and `coco`) and two metadata formats (`json` and `pkl`).
+Image files are stored in the corresponding `diffusiondb/` and `coco/` folders.
+
+
+
+| Path | Description |
+|------|-------------|
+| `coco/` | image files (e.g., `coco/...png`) |
+| `diffusiondb/` | image files (e.g., `diffusiondb/...png`) |
+| `json/coco.json` | One JSON object per user (COCO split) |
+| `json/diffusiondb.json` | One JSON object per user (DiffusionDB split) |
+| `pkl/coco.pkl` | PKL grouping used by PrefDisc-style trainers (see below) |
+| `pkl/diffusiondb.pkl` | Same for DiffusionDB |
+
+## Images
+Extract image files with:
+```
+cat coco.tar.part-* | tar -xf - -C coco
+cat diffusiondb.tar.part-* | tar -xf - -C diffusiondb
+```
+
+
+## JSON
+
+Each JSON file is a list of per-user records.  
+Each record is a dictionary with the following fields:
+
+- **`image_file`**: path to the **target** image (training reconstruction target), e.g. `coco/0000102215_0000066902.png`.
+- **`text`**: caption for the target image.
+- **`negative_img`**: list of paths to **dispreferred** reference images.
+- **`positive_img`**: list of paths to **preferred** reference images.
+- **`prompt_list`**: list of prompts for the reference images.
+
+For each record, `negative_img`, `positive_img`, and `prompt_list` are index-aligned and have the same length.
+
+Example (abbreviated):
+
+```json
+{
+  "id": "0",
+  "image_file": "diffusiondb/18869_0000001.png",
+  "text": "pink, blue, despair personified, artwork",
+  "negative_img": ["diffusiondb/18863_0036541.png", "..."],
+  "positive_img": ["diffusiondb/18863_0000001.png", "..."],
+  "prompt_list": ["...", "..."]
+}
+```
+
+
+## PKL
+
+Each PKL file is a dict keyed by user.  
+Each value is a **list** that stores one user's reference pairs and attributes.
+
+This PKL format contains the same preference information as JSON:
+reference pairs (`negative_img`, `positive_img`, `prompt_list`) plus
+`negative_attributes` and `positive_attributes`.
+
+- For each reference pair: **`(negative_filename, positive_filename, prompt)`**
+  (filenames can be joined with `coco/` or `diffusiondb/` under the dataset root).
+- The **last** element of the list is **`[negative_attributes, positive_attributes]`**.
+
+In short, the value format is:
+`[(neg_img1, pos_img1, prompt1), (neg_img2, pos_img2, prompt2), ..., [neg_attr, pos_attr]]`.
+
+Example:
+
+```python
+import pickle
+
+with open("diffusiondb.pkl", "rb") as f:
+    data = pickle.load(f)
+
+sample_user = data[3]
+print(sample_user)
+```
+
+Output:
+
+```text
+[("145191_0004851.png", "145191_0000007.png", "a human chest burster coming out of a xenomorph"), ..., ["Academic Art ...", "Abstract Expressionism ..."]]
+```
+
+

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