[x] Confirm that this PR is linked to the dataset issue.
[x] Create the dataloader script seacrowd/sea_datasets/{my_dataset}/{my_dataset}.py (please use only lowercase and underscore for dataset folder naming, as mentioned in dataset issue) and its __init__.py within {my_dataset} folder.
[x] Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _LOCAL, _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/<my_dataset>/<my_dataset>.py or python -m tests.test_seacrowd seacrowd/sea_datasets/<my_dataset>/<my_dataset>.py --subset_id {subset_name_without_source_or_seacrowd_suffix}.
[ ] 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.
For 6 & 7, I have tested it using ceb language only since the data folder is quite large (up to 6GB per each language)
Please name your PR title and the first line of PR message after the issue it will close. You can use the following examples:
Title: Closes #446 | Add/Update Dataloader voxlingua
First line PR Message: Closes #446
Checkbox
seacrowd/sea_datasets/{my_dataset}/{my_dataset}.py
(please use only lowercase and underscore for dataset folder naming, as mentioned in dataset issue) and its__init__.py
within{my_dataset}
folder._CITATION
,_DATASETNAME
,_DESCRIPTION
,_HOMEPAGE
,_LICENSE
,_LOCAL
,_URLs
,_SUPPORTED_TASKS
,_SOURCE_VERSION
, and_SEACROWD_VERSION
variables._info()
,_split_generators()
and_generate_examples()
in dataloader script.BUILDER_CONFIGS
class attribute is a list with at least oneSEACrowdConfig
for the source schema and one for a seacrowd schema.datasets.load_dataset
function.python -m tests.test_seacrowd seacrowd/sea_datasets/<my_dataset>/<my_dataset>.py
orpython -m tests.test_seacrowd seacrowd/sea_datasets/<my_dataset>/<my_dataset>.py --subset_id {subset_name_without_source_or_seacrowd_suffix}
.For 6 & 7, I have tested it using
ceb
language only since the data folder is quite large (up to 6GB per each language)