Update README.md

README.md

@@ -114,8 +114,9 @@ license: cc-by-nc-sa-4.0
 # CAMEO: Collection of Multilingual Emotional Speech Corpora
 
 ## Dataset Description
-CAMEO is a curated collection of multilingual emotional speech datasets. It includes 13 distinct datasets with transcriptions, encompassing a total of 41,265 audio samples. The collection features audio in eight languages: Bengali, English, French, German, Italian, Polish, Russian, and Spanish.
-
+**CAMEO** is a curated collection of multilingual emotional speech datasets. 
+It includes 13 distinct datasets with transcriptions, encompassing a total of 41,265 audio samples. 
+The collection features audio in eight languages: Bengali, English, French, German, Italian, Polish, Russian, and Spanish.
 
 ## Example Usage
 
@@ -127,22 +128,6 @@ from datasets import load_dataset
 dataset = load_dataset("amu-cai/CAMEO", split=split)
 ```
 
-Available splits:
-- `cafe`
-- `crema_d`
-- `emns`
-- `emozionalmente`
-- `enterface`
-- `jl_corpus`
-- `mesd`
-- `nemo`
-- `oreau`
-- `pavoque`
-- `ravdess`
-- `resd`
-- `subesco`
-
-
 ## Supported Tasks
 
 - **Audio Classification**: Primarily designed for speech emotion recognition, each recording is annotated with a label corresponding to an emotional state. Additionally, most samples include speaker identifier and gender, enabling its use in various audio classification tasks.
@@ -220,6 +205,14 @@ The inclusion of a dataset in the collection was determined by the following cri
 - The annotations corresponding to basic emotional states are included and consistent with commonly used naming conventions.
 - The availability of speaker-related metadata (e.g., speaker identifiers or demographic information) was considered valuable, but not mandatory.
 
+### Evaluation
+
+To evaluate your model according to the methodology used in our paper, you can use the following code.
+
+```python
+
+```
+
 ## Additional Information
 
 ### Licensing Information