Update dataset descriptions

README.md

@@ -30,4 +30,45 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+task_categories:
+- automatic-speech-recognition
+tags:
+- paralinguistic
+pretty_name: a
+size_categories:
+- 100K<n<1M
 ---
+A preprocessed version of `Switchboard Corpus`. The corpus audio has been upsampled to 16kHz, separated channels and the transcripts have been processed
+with special treats for paralinguistic events, particularly laughter and speech-laughs.
+This preprocessed dataset has been processed for ASR task. For the original dataset, please check out the original link: https://catalog.ldc.upenn.edu/LDC97S62
+
+The dataset has been splitted into train, test and validation sets with 70/20/10 ratio, as following summary:
+
+```python
+Train Dataset (70%): Dataset({
+    features: ['audio', 'sampling_rate', 'transcript'],
+    num_rows: 185402
+})
+Validation Dataset (10%): Dataset({
+    features: ['audio', 'sampling_rate', 'transcript'],
+    num_rows: 20601
+})
+Test Dataset (20%): Dataset({
+    features: ['audio', 'sampling_rate', 'transcript'],
+    num_rows: 51501
+})
+```
+
+An example of the content is this dataset:
+```
+```
+
+Regarding the total amount of laughter and speech-laugh existing in the dataset, here is the overview:
+```bash
+Train Dataset (swb_train): {'laughter': 16044, 'speechlaugh': 9586} 
+
+Validation Dataset (swb_val): {'laughter': 1845, 'speechlaugh': 1133} 
+
+Test Dataset (swb_test): {'laughter': 4335, 'speechlaugh': 2775} 
+```
+