[X] Confirm that this PR is linked to the dataset issue.
[X] Create the dataloader script seacrowd/sea_datasets/emotes_3k/emotes_3k.py (please use only lowercase and underscore for dataset naming).
[X] Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _URLs, _SUPPORTED_TASKS, _SOURCE_VERSION, and _SEACROWD_VERSION variables.
[X] Implement _info(), _split_generators() and _generate_examples() in dataloader script.
[X] 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.
[X] Confirm dataloader script works with datasets.load_dataset function.
[X] Confirm that your dataloader script passes the test suite run with python -m tests.test_seacrowd seacrowd/sea_datasets/emotes_3k/emotes_3k.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.
Closes #340
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seacrowd/sea_datasets/emotes_3k/emotes_3k.py(please use only lowercase and underscore for dataset naming)._CITATION,_DATASETNAME,_DESCRIPTION,_HOMEPAGE,_LICENSE,_URLs,_SUPPORTED_TASKS,_SOURCE_VERSION, and_SEACROWD_VERSIONvariables._info(),_split_generators()and_generate_examples()in dataloader script.BUILDER_CONFIGSclass attribute is a list with at least oneSEACrowdConfigfor the source schema and one for a seacrowd schema.datasets.load_datasetfunction.python -m tests.test_seacrowd seacrowd/sea_datasets/emotes_3k/emotes_3k.py.