Update README.md

README.md

@@ -9,21 +9,31 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 4209155993.0
+    num_bytes: 4209155993
     num_examples: 15090
   download_size: 3452146050
-  dataset_size: 4209155993.0
+  dataset_size: 4209155993
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-sa-4.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+- translation
+language:
+- ga
+- en
+size_categories:
+- 10K<n<100K
 ---
 
 # Dataset Details
 
 Synthetic audio dataset, created using Azure text-to-speech service.
-The bilingual text is a portion of the Wikimedia dataset, consisting of 7545 text segments.
+The bilingual text is a portion of the Wikimedia dataset, consisting of 7,545 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 34 hours of audio data (34:23:12) for 15,090 utterances.
 
@@ -37,7 +47,9 @@ Dataset({
 })
 ```
 
-## Citation
+## Citations
+
+* The speech dataset `Wikimedia-Speech-Irish` was created and introduced as part of the following paper:
 
 ```
 @inproceedings{moslem2024leveraging,
@@ -48,3 +60,22 @@ Dataset({
   month={April}
 }
 ```
+
+* The original Wikimedia 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"
+}
+
+```