Update README.md

README.md

@@ -18,4 +18,64 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: eupl-1.1
+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 EUbookshop dataset, consisting of 33,634 text segments.
+The dataset includes two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
+The speech data comprises approximately 159 hours and 45 minutes (159:45:05) spread across 67,268 utterances.
+
+
+## Dataset Structure
+
+```
+Dataset({
+    features: ['audio', 'text_ga', 'text_en'],
+    num_rows: 67268
+})
+```
+
+
+## Citations
+
+* This speech dataset `EUbookshop-Speech-Irish` was created and introduced as part of the following paper:
+
+```
+@inproceedings{moslem2024leveraging,
+  title={Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation},
+  author={Moslem, Yasmin},
+  booktitle={Proceedings of the 2024 International Conference on Spoken Language Translation (IWSLT 2024)},
+  year={2024},
+  month={April}
+}
+```
+
+* The original EUbookshop 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"
+}
+
+```