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README.md

@@ -17,7 +17,7 @@ base_model: facebook/hf-seamless-m4t-medium
 
 This is a **SeamlessBasic** model that processes audio and text inputs to predict **Time To Edit (TTE)** for subtitle segments. Given an audio segment and its corresponding subtitle text, the model predicts how much time (in seconds) would be required to edit/refine that subtitle segment.
 
-The model is built on top of Meta's SeamlessM4T and fine-tuned on a multimodal dataset containing audio-subtitle pairs with editing time annotations.
+The model is built on top of Meta's SeamlessM4T and fine-tuned on a multimodal dataset containing audio-subtitle pairs with editing time annotations across 5 languages: **English, French, Spanish, Italian, and German**.
 
 ### Key Features
 
@@ -164,7 +164,7 @@ data = [
 
 The model was trained with the following specifications:
 
-- **Dataset**: Multimodal audio-subtitle pairs with TTE annotations
+- **Dataset**: Multimodal audio-subtitle pairs with TTE annotations (5 languages: EN, FR, ES, IT, DE)
 - **Train/Test Split**: 80/20 with random seed 42
 - **Audio Processing**: 16kHz sampling, max 8.0 seconds, no offset
 - **Text Processing**: Max 256 tokens