benjaminogbonna commited on
Commit
db37125
·
verified ·
1 Parent(s): 5d5ca17

Updated Dataset card to include Reference/Disclaimer

Browse files
Files changed (1) hide show
  1. README.md +23 -1
README.md CHANGED
@@ -228,6 +228,7 @@ configs:
228
  - [Considerations for Using the Data](#considerations-for-using-the-data)
229
  - [Social Impact of Dataset](#social-impact-of-dataset)
230
  - [Additional Information](#additional-information)
 
231
  - [Contributions](#contributions)
232
 
233
  ## Dataset Description
@@ -372,4 +373,25 @@ The dataset consists of people who have donated their voice online. You agree t
372
 
373
  The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
374
 
375
- ### Contributions
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
228
  - [Considerations for Using the Data](#considerations-for-using-the-data)
229
  - [Social Impact of Dataset](#social-impact-of-dataset)
230
  - [Additional Information](#additional-information)
231
+ - [Reference/Disclaimer](#reference-disclaimer)
232
  - [Contributions](#contributions)
233
 
234
  ## Dataset Description
 
373
 
374
  The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
375
 
376
+ ### Reference/Disclaimer
377
+
378
+ Just to state it clearly, "the current languages and voices we have on the Nigeria Common Voice Dataset were not all collected from scratch"
379
+ Infact, this wasn't the problem we set out to solve initially. We were working on a speech to speech (stt & tts) conversational model for Nigeria languages, but along the way we had a bottleneck:
380
+ 1. The few data (audio) available were scattered and from different sources (Kaggle, Hugging Face, and many other websites).
381
+ 2. The data weren't in the format required by the models.
382
+ 3. Many of the audios had wrong or no corresponding transcriptions at all.
383
+
384
+ So while training our model, we had to gather them into one repository, structure them, clean them (remove/edit wrong transcriptions), and trim most of them to 30 seconds chunks.
385
+
386
+ We figured many people had the same issue, hence we uploaded it to Hugging Face and made it public.
387
+
388
+ Secondly, we haven't found any publicly available data (audios & transcriptions) for many Nigerian languages that we need (ex. Pidgin, etc).
389
+ So the Nigerian Common Voice Dataset will be an ongoing project to collect as many languages & voices as possible.
390
+
391
+ Next, in order to add more languages and voices:
392
+ 1. We will crowd-source from volunteers and contributors.
393
+ 2. Take advantage of the hundreds of hours of Nigerian movies that are publicly available in different languages.
394
+
395
+ Our goal here is just to bring this data into one central repository and make it available to the public (researchers, developers, and all).
396
+
397
+ ### Contributions