Twine AIMongolian is one of the most commonly spoken languages in the world. That being said, it’s not always easy to find Mongolian language datasets to train your models.
That’s why we’ve done the hard bit for you. Here at Twine, we’ve searched high and low to find the best Mongolian Language datasets.
Are you ready?
Let’s dive in.
Here are our top picks for Mongolian Language datasets:
CC100-Mongolian Dataset
Created in 2020, the CC100-Mongolian dataset is one of the 100 corpora of monolingual data that was processed from the January-December 2018 Commoncrawl snapshots from the CC-Net repository. The size of this corpus is 397M, exclusively in the Mongolian language. Contains Text files.
Mongolian Colloquial Video Speech Data
The Mongolian Colloquial Video Speech Dataset contains 500 hours of collected audio, from real websites, covering multiple fields. Various attributes such as text content and speaker identity are annotated. This dataset can be used for voiceprint recognition model training, construction of corpus for machine translation, and algorithm research.
IMUT-MC Dataset
This research group has constructed a speech corpus IMUT-MC for Mongolian speech recognition tasks, which contains about 212 hours of reading speech recorded by 417 speakers, and is committed to advancing Mongolian speech recognition research.
Wrapping up
To conclude, here are top picks for the best Mongolian language datasets for your projects:
We hope that this list has either helped you find a dataset for your project or, realize the myriad of options available to you.
If there are any datasets you would like us to add to the list then please let us know here.
If you would like to learn more about how we could help build a custom dataset for your project, please don’t hesitate to contact us!
Let us help you do the math – check our AI dataset project calculator.
Brown Walsh
Raksha