Update README.md

README.md

@@ -64,7 +64,159 @@ Answer only with the letter corresponding to the choice."""
 # Load the video and perform inference with any model that can process audio and video input
 # or, if you want to visually see the video and the prompt that could be provided to the model:
 # print(prompt)
-# display(Video(sample["video_with_overlayed_audio_path"], embed=True)) 
+# display(Video(sample["video_with_overlayed_audio_path"], embed=True))
+```
+
+### Working with All Evaluation Tasks
+
+DAVE provides 7 different evaluation tasks to diagnose model capabilities across different modalities. Here's how to access all tasks:
+
+```python
+from datasets import load_dataset
+import random
+
+epic_dataset = load_dataset("gorjanradevski/dave", split="epic", keep_in_memory=True, trust_remote_code=True)
+sample = random.choice(epic_dataset)
+
+# Common information across all tasks
+sound_effect = sample["audio_class"]
+video_with_audio = sample["video_with_overlayed_audio_path"]
+silent_video = sample["silent_video_path"]
+audio_path = sample["overlayed_audio_path"]
+choice_metadata = sample["choice_metadata"]
+
+# ====== Task 1: Audio-Visual Alignment ======
+# Find which action matches when the sound is heard
+task = "audio_visual_alignment"
+options = choice_metadata[task]["choices"]
+ground_truth_idx = choice_metadata[task]["ground_truth"]
+
+prompt = f"""What is the person in the video doing when {sound_effect} is heard?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+(E) {options[4]}
+
+Answer only with the letter."""
+
+# ====== Task 2: Visual Only ======
+# Identify the action during the overlayed event using only visual information
+task = "visual_only"
+options = choice_metadata[task]["choices"]
+ground_truth_idx = choice_metadata[task]["ground_truth"]
+
+prompt = f"""What action is happening during the highlighted segment?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+(E) {options[4]}
+
+Answer only with the letter."""
+# Use silent_video for this task
+
+# ====== Task 3: Audio Only ======
+# Identify the action using only audio information
+task = "audio_only"
+options = choice_metadata[task]["choices"]
+ground_truth_idx = choice_metadata[task]["ground_truth"]
+
+prompt = f"""What action is associated with the sound you hear?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+(E) {options[4]}
+
+Answer only with the letter."""
+# Use audio_path for this task
+
+# ====== Task 4: Text Only ======
+# Identify the action using only textual descriptions
+task = "text_only"
+options = choice_metadata[task]["choices"]
+ground_truth_idx = choice_metadata[task]["ground_truth"]
+
+# Get all event descriptions for context
+event_descriptions = [event["narration"] for event in sample["events"]]
+
+prompt = f"""Given these event descriptions: {', '.join(event_descriptions)}
+Which action is most likely associated with the sound '{sound_effect}'?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+(E) {options[4]}
+
+Answer only with the letter."""
+
+# ====== Task 5: Temporal Ordering ======
+# Order the events chronologically
+task = "temporal_ordering"
+options = choice_metadata[task]["choices"]
+ground_truth_order = choice_metadata[task]["ground_truth"]  # e.g., ['(D)', '(A)', '(B)', '(C)']
+
+prompt = f"""Order these events chronologically:
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+
+Provide the correct temporal order as a list like ['(A)', '(B)', '(C)', '(D)']."""
+
+# ====== Task 6: Action Recognition ======
+# Identify which action occurs during the overlayed segment
+task = "action_recognition"
+options = choice_metadata[task]["choices"]
+ground_truth_indices = choice_metadata[task]["ground_truth"]  # Single-element list, e.g., [3]
+ground_truth_idx = ground_truth_indices[0]
+
+prompt = f"""Which action occurs during the overlayed audio segment?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+
+Answer only with the letter."""
+
+# ====== Task 7: Audio Classification ======
+# Identify the overlayed sound
+task = "audio_classification"
+options = choice_metadata[task]["choices"]
+ground_truth_idx = choice_metadata[task]["ground_truth"]
+
+prompt = f"""What sound is overlayed on the video?
+
+(A) {options[0]}
+(B) {options[1]}
+(C) {options[2]}
+(D) {options[3]}
+
+Answer only with the letter."""
+
+# ====== Iterate through all tasks programmatically ======
+for task_name, task_data in choice_metadata.items():
+    print(f"\nTask: {task_name}")
+    print(f"Choices: {task_data['choices']}")
+    print(f"Ground Truth: {task_data['ground_truth']}")
+
+    # Handle different ground truth formats
+    if task_name == "temporal_ordering":
+        print(f"Correct order: {task_data['ground_truth']}")
+    elif task_name == "action_recognition":
+        answer_idx = task_data['ground_truth'][0]
+        print(f"Answer: {task_data['choices'][answer_idx]}")
+    else:
+        # Single choice tasks (audio_visual_alignment, visual_only, audio_only, text_only, audio_classification)
+        answer = task_data['choices'][task_data['ground_truth']]
+        print(f"Answer: {answer}")
 ```
 
 ## Dataset Details
@@ -83,6 +235,7 @@ DAVE (Diagnostic Audio-Visual Evaluation) is a benchmark dataset designed to sys
 
 - **Repository:** https://github.com/gorjanradevski/dave
 - **Paper:** https://arxiv.org/abs/2503.09321
+- **Paper (PDF):** https://openreview.net/pdf/c7b7b8187b0925a4100a65f483ef3dff0215ab34.pdf
 
 ## Uses
 
@@ -134,9 +287,9 @@ Each example contains the following fields:
   * **temporal_ordering**: Temporal ordering of events task
     - `choices`: List of 4 action descriptions
     - `ground_truth`: List of letter strings representing correct order (e.g., `['(D)', '(A)', '(B)', '(C)']`)
-  * **action_recognition**: Multi-label action recognition task
+  * **action_recognition**: Single-label action recognition task
     - `choices`: List of 4 action descriptions
-    - `ground_truth`: List of integer indices for correct actions (e.g., `[3]` or `[0, 2, 3]`)
+    - `ground_truth`: Single-element list containing the index of the correct action (e.g., `[3]`)
   * **audio_classification**: Audio classification task
     - `choices`: List of 4 audio class labels
     - `ground_truth`: Integer index of the correct audio class (0-3)
@@ -169,6 +322,6 @@ url={https://openreview.net/forum?id=4ZAX1NT0ms}
 }
 ```
 
-## Dataset Card Contact
+## Contact
 
 Reach out to either Gorjan at firstname.lastname@gmail.com or Teodora at: firstname.lastname@kuleuven.be