Update README.md

README.md

@@ -9,13 +9,59 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 5938096417.625
-    num_examples: 19947
-  download_size: 4622425790
-  dataset_size: 5938096417.625
+    num_bytes: 5929148456.25
+    num_examples: 19918
+  download_size: 4614643443
+  dataset_size: 5929148456.25
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+  - text-to-speech
+language:
+  - wo
+pretty_name: anta_women_tts
+size_categories:
+  - 10K<n<100K
 ---
+# Anta Women TTS
+## Dataset Description
+This is a cleaned version of the [Wolof TTS dataset](https://huggingface.co/datasets/galsenai/wolof_tts) by [GalsenAI](https://galsen.ai/). 
+We extracted the `female` voice, denoised it and enhanced it with the [Resemble Enhance](https://github.com/resemble-ai/resemble-enhance) library. 
+We also cleaned up the annotations by __removing special characters, emojis, Arabic and Russian characters__. 
+We've corrected a few annotation errors, __but there are potentially many more to come__. 
+Some lines and audios judged not qualitative enough have been removed from the dataset, reducing its size to `19918 annotated audios`.
+
+### Speaking time:
+
+The speaking time is to be updated: `18h 47mn 19s`
+
+The text dataset comes from _news websites_, _Wikipedia_ and _self curated text_.
+
+## Citation
+You can access the project paper at https://arxiv.org/abs/2104.02516.  
+If you work on the dataset, please cite the authors below.
+```
+@dataset{thierno_ibrahima_diop_2021_4498861,
+  author       = {Thierno Ibrahima Diop and
+                  Demba AW and
+                  Ami jaane and
+                  Mamadou Badiane},
+  title        = {WOLOF TTS(Text To Speech) Data},
+  month        = feb,
+  year         = 2021,
+  publisher    = {Zenodo},
+  version      = 1,
+  doi          = {10.5281/zenodo.4498861},
+  url          = {https://doi.org/10.5281/zenodo.4498861}
+}
+```
+
+
+## Acknowledgment
+This work was carried out by [Derguene](https://huggingface.co/derguene/) and was made possible thanks to computing infrastructure support from [Caytu Robotics](https://caytu.com/).  
+Many thanks to them and especially to [Abdoulaye Faye](https://www.linkedin.com/in/abdfaye/) for this support.
+