Update README.md

README.md

@@ -18,13 +18,24 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+- translation
+language:
+- ga
+- en
+size_categories:
+- 1K<n<10K
 ---
 
 # Dataset Details
 
-Synthetic audio dataset, created using Azure text-to-speech service. The bilingual text is a portion of the Tatoeba dataset.
-It comprises two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
-
+Synthetic audio dataset, created using Azure text-to-speech service.
+The bilingual text is a portion of the Tatoeba dataset, consisting of 1,983 text segments.
+The dataset comprises two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
+It includes more than 2 hours of audio data (02:39:31) for 3,966 utterances.
 
 ## Dataset Structure
 
@@ -35,7 +46,14 @@ Dataset({
 })
 ```
 
-## Citation
+## Copyright
+
+Please refer to the [Terms of Use](https://tatoeba.org/eng/terms_of_use) of Tatoeba project.
+
+
+## Citations
+
+* This speech dataset was created and introduced as part of the following paper:
 
 ```
 @inproceedings{moslem2024leveraging,
@@ -46,3 +64,22 @@ Dataset({
   month={April}
 }
 ```
+
+* The original Tatoeba bilingual text dataset was collected by the OPUS project, introduced in the following paper:
+
+```
+
+@INPROCEEDINGS{Tiedemann2012-OPUS,
+  title     = "{Parallel Data, Tools and Interfaces in {OPUS}}",
+  booktitle = "{Proceedings of the Eighth International Conference on Language
+               Resources and Evaluation ({LREC}'12)}",
+  author    = "Tiedemann, J{\"o}rg",
+  publisher = "European Language Resources Association (ELRA)",
+  pages     = "2214--2218",
+  month     =  may,
+  year      =  2012,
+  url       = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
+  address   = "Istanbul, Turkey"
+}
+
+```