cobrayyxx commited on
Commit
05945bd
·
verified ·
1 Parent(s): 72deb99

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +42 -0
README.md CHANGED
@@ -28,3 +28,45 @@ configs:
28
  - split: validation
29
  path: data/validation-*
30
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  - split: validation
29
  path: data/validation-*
30
  ---
31
+ # Dataset Details
32
+ This is the Indonesia-to-English dataset for Speech Translation task. This dataset is acquired from [CoVoST](https://huggingface.co/datasets/facebook/covost2).
33
+ CoVoST2 is end-to-end speech-to-text translation. The dataset is based on using Mozillas open-source Common Voice database of
34
+ crowdsourced voice recordings. CoVoST2 is covering several languages, one of which is Indonesia. The Indonesian data has 2879 utterances and approximately 2 hours and 58 minutes of audio data.
35
+
36
+ # Processing Steps
37
+ Before the Fleurs dataset is extracted, there are some preprocessing steps to the data:
38
+ 1. Remove some unused columns.
39
+ 2. Switch the `id` column position into the first column.
40
+ 3. Rename the `sentence` column to `text_indo` and `translation` column to `text_en`.
41
+ 4. Cast the audio column into Audio object.
42
+ 5. Split into Train and Validation.
43
+
44
+ # Dataset Structure
45
+ ```
46
+ DatasetDict({
47
+ train: Dataset({
48
+ features: ['id', 'audio', 'text_indo', 'text_en'],
49
+ num_rows: 2892
50
+ }),
51
+ validation: Dataset({
52
+ features: ['id', 'audio', 'text_indo', 'text_en'],
53
+ num_rows: 724
54
+ }),
55
+ })
56
+ ```
57
+
58
+ # Citation
59
+ ```
60
+ @article
61
+
62
+ @misc{wang2020covost,
63
+ title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
64
+ author={Changhan Wang and Anne Wu and Juan Pino},
65
+ year={2020},
66
+ eprint={2007.10310},
67
+ archivePrefix={arXiv},
68
+ primaryClass={cs.CL}
69
+ ```
70
+
71
+ # Credits:
72
+ Huge thanks to [Yasmin Moslem ](https://huggingface.co/ymoslem) for mentoring me.