Closes #426 | Create dataset loader for CLIRMatrix

[fhudi]

Closes #426

source-only dataloader.

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 folder naming, as mentioned in dataset issue) and its __init__.py within {my_dataset} folder.
• Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _LOCAL, _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 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.

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Note:

• As this dataloader is source-only, seacrowd schema is not implemented.
• test was done using tests.test_seacrowd_source_only.py.

[holylovenia]

Hi @fhudi, thanks a lot for your hard work for this dataloader. I have some suggestions and questions:

[holylovenia]

Thanks for the addition, @fhudi! Aside from another comment request above, it works well. I'm approving this PR.

Let's wait for @luckysusanto's review.

[holylovenia]

Hi @muhammadravi251001, I assigned you in place of @luckysusanto due to the lack of response.

I would like to let you know that we plan to finalize the calculation of the open contributions (e.g., dataloader implementations) in 31 hours, so it'd be great if we could wrap up the reviewing and merge this PR before then.

[muhammadravi251001]

Hi @muhammadravi251001, I assigned you in place of @luckysusanto due to the lack of response.

I would like to let you know that we plan to finalize the calculation of the open contributions (e.g., dataloader implementations) in 31 hours, so it'd be great if we could wrap up the reviewing and merge this PR before then.

Alright kak Holy, I will try my best. Maybe I will finish it at 2.00 PM on Jakarta time kak!

[muhammadravi251001]

Approved. LGTM. Thanks for the contribution @fhudi!