Update README.md

README.md

@@ -17,7 +17,7 @@ dataset_info:
     num_bytes: 1294272351.875
     num_examples: 1473
   - name: test
-    num_bytes: 644375190.0
+    num_bytes: 644375190
     num_examples: 737
   download_size: 6400544345
   dataset_size: 6470215703.471
@@ -30,4 +30,27 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: cc-by-3.0
+language:
+- xh
 ---
+
+# Xhosa Merged Audio
+
+This dataset was cultivated from (Beijuka/xhosa_parakeet_50hr)[https://huggingface.co/datasets/Beijuka/xhosa_parakeet_50hr]. This dataset orginally came from NCHLT isiXhosa Speech Corpus (see below).
+
+The original corpus contained audio and transcription in 3-5 word segments. This meant that the majority of the dataset was ~5 seconds long. Whisper can receive an input of 30 seconds. This meant that the dataset required substantial padding. To reduce the amount of padding, the audio segments were merged together sequentially until a limit of 30 seconds was reached.
+
+## Original Dataset
+- Name: NCHLT isiXhosa Speech Corpus
+- Size: Approximately 56 hours of transcribed speech
+- Speakers: 209 (106 female, 103 male)
+- Content: Prompted speech (3-5 word utterances read from a smartphone screen)
+- Source: Audio recordings smartphone-collected in non-studio environment
+- License: Creative Commons Attribution 3.0 Unported License (CC BY 3.0)
+
+### Citation
+
+```tex
+De Vries, N.J., Davel, M.H., Badenhorst, J., Basson, W.D., de Wet, F., Barnard, E. and de Waal, A. (2014). A smartphone-based ASR data collection tool for under-resourced languages. Speech Communication, 56, 119-131. https://hdl.handle.net/20.500.12185/279
+```