Update README.md

README.md

@@ -16,4 +16,42 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- automatic-speech-recognition
+size_categories:
+- 1K<n<10K
 ---
+
+
+# High quality TTS data for four South African languages - Setswana
+
+### Source - https://openslr.org/32/
+### Identifier: SLR32
+
+Summary: Multi-speaker TTS data for four South African languages - Setswana
+
+License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
+
+About this resource:
+
+This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio. In each folder, the file line_index.tsv contains a FileID, which in turn contains the UserID and the Transcription of audio in the file.
+The data set has had some quality checks, but there might still be errors.
+
+This data set was collected by as a collaboration between North West University and Google.
+
+If you use this data in publications, please cite it as follows:
+
+```
+  @inproceedings{van-niekerk-etal-2017,
+    title = {{Rapid development of TTS corpora for four South African languages}},
+    author = {Daniel van Niekerk and Charl van Heerden and Marelie Davel and Neil Kleynhans and Oddur Kjartansson and Martin Jansche and Linne Ha},
+    booktitle = {Proc. Interspeech 2017},
+    pages = {2178--2182},
+    address = {Stockholm, Sweden},
+    month = aug,
+    year  = {2017},
+    URL   = {http://dx.doi.org/10.21437/Interspeech.2017-1139}
+  }
+```
+
+Copyright 2017 Google, Inc.