Update README.md

README.md

@@ -1,5 +1,19 @@
 ---
 viewer: false
+task_categories:
+- image-to-image
+- text-to-image
+- image-segmentation
+- image-text-to-text
+- image-text-to-image
+- visual-question-answering
+- image-to-text
+tags:
+- unified-multimodal-model
+- benchmark
+- synergistic-learning
+size_categories:
+- 10K<n<100K
 ---
 Unison is a comprehensive benchmark comprising 2,169 high-quality unified task samples, designed to evaluate joint understanding and generation in unified multimodal models.
 
@@ -44,4 +58,4 @@ Unison is a comprehensive benchmark comprising 2,169 high-quality unified task s
 - **IC** — `questions.json` is keyed `prompt_<N>` matching the 0-indexed line `N` in `prompts.txt`; each value maps question numbers to yes/no questions about the generated image.
 - **UGG** — `image_path` is relative to `Und_Guided_Gen/` (e.g. `images/1.jpg`); `bbox`/`mask` give the grounded edit region, `operation` the edit type.
 - **GGU** — `image_path` is relative to each sub-category dir: `2D_Spatial/matrices/...`, `3D_Spatial/cubes/...`. `Complex_Relation` items carry no source image and are reconstructed from their `description` / validation questions.
-- **ME** — `image_path` is a bare filename resolving under `Mutual_Enhancement/images/`.
+- **ME** — `image_path` is a bare filename resolving under `Mutual_Enhancement/images/`.