Update README.md

README.md

@@ -55,7 +55,7 @@ The dataset features code-switched speech, combining Catalan (ca) and Spanish (e
 ## Dataset Structure
 
 ### Data Instances
-```python
+```
 {
 'audio':
   {
@@ -90,8 +90,11 @@ This corpus specifically focuses on Catalan code-switched with Spanish, a lingui
 This task is particularly low-resourced because, besides being a variety of the Catalan language, it further restricts the available data by incorporating code-switching, a complex and less-explored aspect of language use.
 
 ### Source Data
-### Initial Data Collection
 This corpus was extracted from the original [tv3_parla](https://huggingface.co/datasets/collectivat/tv3_parla) dataset that includes 240 hours of Catalan speech from broadcast material.
+
+### Data Collection and Processing
+
+
 To extract the CS part, we used the BERT detection. [Google’s multilingual BERT](https://arxiv.org/pdf/1810.04805) was fine-tuned for token classification using a synthetic corpus of code-switched dialogues in Catalan and Spanish. 
 During fine-tuning, each word was labeled with its corresponding language token. 
 Once trained, the model was applied to the transcriptions of the original TV3 Parla dataset, where it performed token-level language classification.