Readme update

README.md

@@ -19,8 +19,7 @@ size_categories:
 
 # MMB Counterfactual Dataset
 
-A multimodal benchmark dataset featuring counterfactual visual question answering examples.
-
+A counterfactual VQA dataset constructed using the CLEVR blender assets to procedurally generate both negative and normal counter factual VQA images and questions for the Multimodal Benchmark paper.
 ## Dataset Structure
 
 This repository contains counterfactual visual question answering data with:
@@ -29,28 +28,6 @@ This repository contains counterfactual visual question answering data with:
 - **Questions** for each image variant
 - **Answer matrices** showing how each image answers each question (9 values per scene: 3 images × 3 questions)
 
-### Current Run: `dataset_1k_720p_2`
-
-The dataset currently includes:
-- **1,000 scenes**
-- **3 images per scene**: original, counterfactual 1, counterfactual 2
-- **3 questions per scene**: one for each image
-- **Answer matrix**: the answer of every image to every question
-
-Data is stored in **Parquet format** (`data/train.parquet`) with images in `dataset_1k_720p_2/images/`.
-
-## Hugging Face Dataset Viewer
-
-This repository uses the standard **Parquet format** (no custom loading script required). The **Preview** tab will automatically:
-
-1. Load the Parquet file from `data/train.parquet`
-2. Display all fields including:
-   - Scene IDs
-   - Image filenames (original + 2 counterfactuals)
-   - Questions and difficulties
-   - Complete answer matrix (9 fields)
-
-**Note:** Image columns contain filenames (e.g., `scene_0000_original.png`). The actual images are stored in `dataset_1k_720p_2/images/`.
 
 ### Loading from Python
 
@@ -73,7 +50,7 @@ MMB-Dataset/
 ├── .gitattributes              # Git LFS configuration for images
 ├── data/                       # Dataset files (Parquet format)
 │   └── train.parquet           # Main dataset file
-├── dataset_1k_720p_2/          # Current dataset run
+├── Dataset/   # Current dataset run
 │   ├── images/                 # All PNG images (referenced by Parquet)
 │   ├── scenes/                 # JSON scene descriptions (reference)
 │   ├── image_mapping_with_questions.csv  # Original CSV (source)