update readme

README.md

@@ -71,16 +71,42 @@ Prompt2SceneBench can be directly used for:
 
 ## Dataset Structure
 
-- **Fields:**
-  - `type`: Prompt category (A/B/C/D)
-  - `object1`, `object2`, `object3`, `object4` (if present)
-  - `surface`
-  - `scene`
-  - `prompt`: The full natural language text
-
-- **Format:** CSV  
-- **Size:** 12,606 prompts
-
+### CSV Format (`prompt2scene_prompts_final.csv`)
+**Size:** 12,606 prompts
+Each row in the CSV corresponds to a single prompt instance and includes the following fields:
+
+- `type`: Prompt category — one of `A`, `B`, `C`, or `D`, based on number of objects and complexity.
+- `object1`, `object2`, `object3`, `object4`: Objects involved in the scene (some may be `null` depending on type).
+- `surface`: The surface where the objects are placed (e.g., `desk surface`, `bench`).
+- `scene`: The indoor environment (e.g., `living room`, `study room`).
+- `prompt`: The final structured natural language prompt.
+
+Note: 
+- Type A prompt has only 1 object (object2, object3, object4 fields will be None)
+- Type B prompt has only 2 objects (object3, object4 fields will be None)
+- Type C prompt has only 3 objects (object4 field will be None)
+- Type D prompt has only 4 objects (all the object fields will have values)
+
+Sample Examples:
+- Type A: a football located on a bench in a basement. (object1: foorball, surface: bench, scene: basement)
+- Type B: a coffee mug beside a notebook on a wooden table in a home office. (object1: coffee mug, object2: notebook, surface: wooden table, scene: home office)
+- Type C: a jar, a coffee mug, and a bowl placed on a kitchen island in a kitchen. (object1: jar, object2: coffee mug, object3: bowl, surface: kitchen island, scene: kitchen)
+- Type D: An arrangement of an air purifier, a pair of slippers, a guitar, and a pair of shoes on a floor in a bedroom. (object1:air purifier, object2: pair of slippers, object3: guitar, object4: pair of shoes, surface: floor, scene: bedroom)
+
+### JSON Format (`prompt2scene_metadata.json`)
+
+The JSON contains the following keys:
+
+- `objects`: List of all 50 objects used in the prompt generation.
+- `scenes`: List of 15 indoor scenes.
+- `surfaces`: List of 20 compatible surfaces.
+- `object_to_scenes`: Dictionary mapping each object to plausible indoor scenes.
+- `object_to_surfaces`: Dictionary mapping each object to compatible surface(s).
+- `surface_to_scenes`: Dictionary mapping each surface to scene(s) where it naturally occurs.
+- `prompt_templates`: Template used for generating the prompts for all the prompt types (A, B, C, D), each prompt type has 3 variants
+
+This JSON file supports reproducibility and reuse by providing all internal mappings used during structured prompt generation.
+The community can further extend/modify the above lists and mappings and use their own prompt templates based on the usecase.
 
 ## Dataset Creation