Update README.md

README.md

@@ -1,9 +1,8 @@
 # CAMEO: Collection of Multilingual Emotional Speech Corpora
 
 ## Dataset Description
-CAMEO is a curated compilation 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.
 
-The corpus is freely accessible under the Creative Commons license (CC BY-NC-SA 4.0).
 
 ## Example Usage
 
@@ -12,7 +11,7 @@ The dataset can be loaded and processed using the datasets library:
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("amu-cai/mEMO", config, split="test")
+dataset = load_dataset("amu-cai/CAMEO", config, split="test")
 ```
 
 Available configs:
@@ -41,15 +40,7 @@ Available configs:
 - **Text-to-Speech (TTS)**: The dataset's emotional audio recordings, complemented by transcriptions, are beneficial for developing TTS systems that aim to produce emotionally expressive speech.
 
 ## Languages
-CAMEO contains audio and transcription in eight languages:  
-- Bengali
-- English
-- French
-- German
-- Italian
-- Polish
-- Russian
-- Spanish
+CAMEO contains audio and transcription in eight languages: Bengali, English, French, German, Italian, Polish, Russian, Spanish.
 
 ## Data Structure
 
@@ -57,21 +48,21 @@ CAMEO contains audio and transcription in eight languages:
 
 ```python
 {
-    "file_id": Value("string"),
-    'audio': {
-      'path': None,
-      'array': array([ 6.10351562e-05, -3.05175781e-05, -3.05175781e-05, ...,
-        6.10351562e-05, -1.22070312e-04,  1.83105469e-04]),
-      'sampling_rate': 16000
-    },
-    "emotion": Value("string"),
-    "transcription": Value("string"),
-    "speaker_id": Value("string"),
-    "gender": Value("string"),
-    "age": Value("string"),
-    "dataset": Value("string"),
-    "language": Value("string"),
-    "license": Value("string"),
+  'file_id': 'e80234c75eb3f827a0d85bb7737a107a425be1dd5d3cf5c59320b9981109b698.flac', 
+  'audio': {
+    'path': None, 
+    'array': array([-3.05175781e-05,  3.05175781e-05, -9.15527344e-05, ...,
+       -1.49536133e-03, -1.49536133e-03, -8.85009766e-04]), 
+    'sampling_rate': 16000
+  }, 
+  'emotion': 'neutral', 
+  'transcription': 'Cinq pumas fiers et passionnés', 
+  'speaker_id': 'cafe_12', 
+  'gender': 'female', 
+  'age': '37', 
+  'dataset': 'CaFE', 
+  'language': 'French', 
+  'license': 'CC BY-NC-SA 4.0'
 }
 ```
 
@@ -115,5 +106,4 @@ The entire dataset is labeled as a test set and is not divided into separate tra
 ## Additional Information
 
 ### Licensing Information
-
-The dataset is distributed under the Creative Commons license (CC BY-NC-SA 4.0).
+The licence of each dataset is described in the `license` field in the metadata.