Update README.md

README.md

@@ -218,9 +218,13 @@ This dataset was created to address the need for a unified multimodal benchmark
 - **Rationale**: Standardized resolution for efficient training, human-verified captions
 
 **AudioSet (Audio)**
-- **Source**: [agkphysics/AudioSet](https://huggingface.co/datasets/agkphysics/AudioSet)
+- **Source**: [agkphysics/AudioSet](https://huggingface.co/datasets/agkphysics/AudioSet) (config: "full", splits: bal_train/eval)
 - **Original Size**: 2 million 10-second clips
-- **Processing**: Labels converted from list to comma-separated string
+- **Processing**: 
+  - Audio decoded using torchcodec 0.9.1 (PyTorch 2.9+cu126)
+  - FFmpeg 7.0.2 backend for audio file decoding
+  - Output: float32 numpy arrays at 16kHz sampling rate
+  - Labels converted from list to comma-separated string
 - **Rationale**: Diverse sound events with expert human annotations
 
 #### Who are the source language producers?
@@ -351,4 +355,4 @@ for sample in ds.take(5):
     print("---")
 ```
 
-For more examples, see the [Dataset Structure](#dataset-structure) section.
+For more examples, see the [Dataset Structure](#dataset-structure) section.