Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -1,47 +1,60 @@
|
|
1 |
-
---
|
2 |
-
dataset_info:
|
3 |
-
features:
|
4 |
-
- name: audio
|
5 |
-
dtype:
|
6 |
-
audio:
|
7 |
-
sampling_rate: 16000
|
8 |
-
- name: sampling_rate
|
9 |
-
dtype: int64
|
10 |
-
- name: transcript
|
11 |
-
dtype: string
|
12 |
-
splits:
|
13 |
-
- name: train
|
14 |
-
num_bytes: 26537763371.78
|
15 |
-
num_examples: 185402
|
16 |
-
- name: validation
|
17 |
-
num_bytes: 2948998696.305
|
18 |
-
num_examples: 20601
|
19 |
-
- name: test
|
20 |
-
num_bytes: 7390220553.37
|
21 |
-
num_examples: 51501
|
22 |
-
download_size: 29378895903
|
23 |
-
dataset_size: 36876982621.455
|
24 |
-
configs:
|
25 |
-
- config_name: default
|
26 |
-
data_files:
|
27 |
-
- split: train
|
28 |
-
path: data/train-*
|
29 |
-
- split: validation
|
30 |
-
path: data/validation-*
|
31 |
-
- split: test
|
32 |
-
path: data/test-*
|
33 |
-
task_categories:
|
34 |
-
- automatic-speech-recognition
|
35 |
-
tags:
|
36 |
-
- paralinguistic
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
|
|
|
|
41 |
A preprocessed version of `Switchboard Corpus`. The corpus audio has been upsampled to 16kHz, separated channels and the transcripts have been processed
|
42 |
with special treats for paralinguistic events, particularly laughter and speech-laughs.
|
43 |
-
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
|
44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
The dataset has been splitted into train, test and validation sets with 70/20/10 ratio, as following summary:
|
46 |
|
47 |
```python
|
@@ -63,12 +76,12 @@ An example of the content is this dataset:
|
|
63 |
```
|
64 |
```
|
65 |
|
66 |
-
|
|
|
67 |
```bash
|
68 |
Train Dataset (swb_train): {'laughter': 16044, 'speechlaugh': 9586}
|
69 |
|
70 |
Validation Dataset (swb_val): {'laughter': 1845, 'speechlaugh': 1133}
|
71 |
|
72 |
Test Dataset (swb_test): {'laughter': 4335, 'speechlaugh': 2775}
|
73 |
-
```
|
74 |
-
|
|
|
1 |
+
---
|
2 |
+
dataset_info:
|
3 |
+
features:
|
4 |
+
- name: audio
|
5 |
+
dtype:
|
6 |
+
audio:
|
7 |
+
sampling_rate: 16000
|
8 |
+
- name: sampling_rate
|
9 |
+
dtype: int64
|
10 |
+
- name: transcript
|
11 |
+
dtype: string
|
12 |
+
splits:
|
13 |
+
- name: train
|
14 |
+
num_bytes: 26537763371.78
|
15 |
+
num_examples: 185402
|
16 |
+
- name: validation
|
17 |
+
num_bytes: 2948998696.305
|
18 |
+
num_examples: 20601
|
19 |
+
- name: test
|
20 |
+
num_bytes: 7390220553.37
|
21 |
+
num_examples: 51501
|
22 |
+
download_size: 29378895903
|
23 |
+
dataset_size: 36876982621.455
|
24 |
+
configs:
|
25 |
+
- config_name: default
|
26 |
+
data_files:
|
27 |
+
- split: train
|
28 |
+
path: data/train-*
|
29 |
+
- split: validation
|
30 |
+
path: data/validation-*
|
31 |
+
- split: test
|
32 |
+
path: data/test-*
|
33 |
+
task_categories:
|
34 |
+
- automatic-speech-recognition
|
35 |
+
tags:
|
36 |
+
- paralinguistic
|
37 |
+
- laughter
|
38 |
+
pretty_name: switchboard-speechlaugh
|
39 |
+
size_categories:
|
40 |
+
- 100K<n<1M
|
41 |
+
---
|
42 |
+
## Corpus Overview
|
43 |
A preprocessed version of `Switchboard Corpus`. The corpus audio has been upsampled to 16kHz, separated channels and the transcripts have been processed
|
44 |
with special treats for paralinguistic events, particularly laughter and speech-laughs.
|
45 |
+
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 for contributed original authors.
|
46 |
|
47 |
+
To download the original dataset, it can be found at:
|
48 |
+
|
49 |
+
https://drive.google.com/drive/folders/1YhpWgzCwc4cVhYJPcjuLWy84s-L0hJbf
|
50 |
+
|
51 |
+
or using `gdown`:
|
52 |
+
|
53 |
+
```bash
|
54 |
+
gdown 1YhpWgzCwc4cVhYJPcjuLWy84s-L0hJbf -O /path/to/dataset/switchboard
|
55 |
+
```
|
56 |
+
|
57 |
+
## Corpus Structure
|
58 |
The dataset has been splitted into train, test and validation sets with 70/20/10 ratio, as following summary:
|
59 |
|
60 |
```python
|
|
|
76 |
```
|
77 |
```
|
78 |
|
79 |
+
## Specifications
|
80 |
+
Regarding the total amount of `laughter` and `speech-laugh` existing in the dataset, which using for specific task for `Laughter and Speech-laugh Recognition`, here is the additional overview:
|
81 |
```bash
|
82 |
Train Dataset (swb_train): {'laughter': 16044, 'speechlaugh': 9586}
|
83 |
|
84 |
Validation Dataset (swb_val): {'laughter': 1845, 'speechlaugh': 1133}
|
85 |
|
86 |
Test Dataset (swb_test): {'laughter': 4335, 'speechlaugh': 2775}
|
87 |
+
```
|
|