Closes #574 | Add Dataloader MinangNLP Sentiment Analysis

[akhdanfadh]

Closes #574

I implemented one config per language/subset. Thus, configs will look like this: minang_senti_min_source, minang_senti_ind_seacrowd_text, etc. When testing, pass minang_senti_<subset> to the --subset_id parameter.

Checkbox

• Confirm that this PR is linked to the dataset issue.
• Create the dataloader script seacrowd/sea_datasets/my_dataset/my_dataset.py (please use only lowercase and underscore for dataset naming).
• Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _URLs, _SUPPORTED_TASKS, _SOURCE_VERSION, and _SEACROWD_VERSION variables.
• Implement _info(), _split_generators() and _generate_examples() in dataloader script.
• Make sure that the BUILDER_CONFIGS class attribute is a list with at least one SEACrowdConfig for the source schema and one for a seacrowd schema.
• Confirm dataloader script works with datasets.load_dataset function.
• Confirm that your dataloader script passes the test suite run with python -m tests.test_seacrowd seacrowd/sea_datasets/<my_dataset>/<my_dataset>.py.
• If my dataset is local, I have provided an output of the unit-tests in the PR (please copy paste). This is OPTIONAL for public datasets, as we can test these without access to the data files.

[holylovenia]

Thanks for your work, @akhdanfadh! Works well as always~ Let's wait for @elyanah-aco's review.

[elyanah-aco]

LGTM, thanks! Merging in a bit.