Update README.md

README.md

@@ -68,27 +68,68 @@ pip install -r requirements.txt
 
 ## 📂 Dataset Structure
 
+### Download and Setup
+
+After cloning from HuggingFace, you'll need to extract the data:
+
+```bash
+# Download the dataset from HuggingFace
+git clone https://huggingface.co/datasets/RyanWW/XModBench
+
+cd XModBench
+
+# Extract the Data.zip file
+unzip Data.zip
+
+# Now you have the following structure:
+```
+
+### Directory Structure
+
 ```
 XModBench/
-├── data/
-│   ├── text/
-│   │   ├── perception/
-│   │   ├── spatial/
-│   │   ├── temporal/
-│   │   ├── linguistic/
-│   │   └── knowledge/
-│   ├── vision/
-│   │   └── [same task categories]
-│   └── audio/
-│       └── [same task categories]
-├── models/
-│   └── evaluation_scripts/
-├── results/
-│   └── model_performances/
-└── analysis/
-    └── visualization/
+├── Data/                              # Unzipped from Data.zip
+│   ├── landscape_audiobench/          # Nature sound scenes
+│   ├── emotions/                      # Emotion classification data
+│   ├── solos_processed/               # Musical instrument solos
+│   ├── gtzan-dataset-music-genre-classification/  # Music genre data
+│   ├── singers_data_processed/        # Singer identification
+│   ├── temporal_audiobench/           # Temporal reasoning tasks
+│   ├── urbansas_samples_videos_filtered/  # Urban 3D movements
+│   ├── STARSS23_processed_augmented/  # Spatial audio panorama
+│   ├── vggss_audio_bench/             # Fine-grained audio-visual
+│   ├── URMP_processed/                # Musical instrument arrangements
+│   ├── ExtremCountAV/                 # Counting tasks
+│   ├── posters/                       # Movie posters
+│   └── trailer_clips/                 # Movie trailers
+│
+└── tasks/                             # Task configurations (ready to use)
+    ├── 01_perception/                 # Perception tasks
+    │   ├── finegrained/               # Fine-grained recognition
+    │   ├── natures/                   # Nature scenes
+    │   ├── instruments/               # Musical instruments
+    │   ├── instruments_comp/          # Instrument compositions
+    │   └── general_activities/        # General activities
+    ├── 02_spatial/                    # Spatial reasoning tasks
+    │   ├── 3D_movements/              # 3D movement tracking
+    │   ├── panaroma/                  # Panoramic spatial audio
+    │   └── arrangements/              # Spatial arrangements
+    ├── 03_speech/                     # Speech and language tasks
+    │   ├── recognition/               # Speech recognition
+    │   └── translation/               # Translation
+    ├── 04_temporal/                   # Temporal reasoning tasks
+    │   ├── count/                     # Temporal counting
+    │   ├── order/                     # Temporal ordering
+    │   └── calculation/               # Temporal calculations
+    └── 05_Exteral/                    # Additional classification tasks
+        ├── emotion_classification/    # Emotion recognition
+        ├── music_genre_classification/ # Music genre
+        ├── singer_identification/     # Singer identification
+        └── movie_matching/            # Movie matching
 ```
 
+**Note**: All file paths in the task JSON files use relative paths (`./benchmark/Data/...`), so ensure your working directory is set correctly when running evaluations.
+
 
 
 ### Basic Usage