  For easier communication, posting, or commenting on each others posts, people
use their dialects. In Africa, various languages and dialects exist. However,
they are still underrepresented and not fully exploited for analytical studies
and research purposes. In order to perform approaches like Machine Learning and
Deep Learning, datasets are required. One of the African languages is Bambara,
used by citizens in different countries. However, no previous work on datasets
for this language was performed for Sentiment Analysis. In this paper, we
present the first common-crawl-based Bambara dialectal dataset dedicated for
Sentiment Analysis, available freely for Natural Language Processing research
purposes.
