Uploaded the IndQNER dataset

[RiaGusmita]

resolves #327

Please name your PR after the issue it closes. You can use the following line: "Closes #ISSUE-NUMBER" where you replace the ISSUE-NUMBER with the one corresponding to your dataset.

Checkbox

• [ ] Confirm that this PR is linked to the dataset issue.
• [ ] Create the dataloader script nusantara/nusa_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 _NUSANTARA_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 NusantaraConfig for the source schema and one for a nusantara 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_nusantara --path=nusantara/nusa_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.

[SamuelCahyawijaya]

Hi @RiaGusmita, thank you for contributing!

Would you please assign yourself on the corresponding issue forthe IndQNER dataset? you can simply add a #self-assign comment on the issue to assign yourself.

On the other hand, we also have a slack channel for the initiative, would you mind joining our slack channel?

As for the review for the dataset, I will review this work later today. Thank you!

[RiaGusmita]

Hi Samuel, Thank you for reaching out to me.

I have assigned myself to the corresponding issue. I also have joined the Slack channel and the WhatsApp group as well. Looking forward to the review.

Kind regards, Ria

On Sun, Nov 20, 2022 at 6:52 AM Samuel Cahyawijaya @.***> wrote:

Hi @RiaGusmita https://github.com/RiaGusmita, thank you for contributing!

Would you please assign yourself on the corresponding issue forthe IndQNER dataset https://github.com/IndoNLP/nusa-crowd/issues/329? you can simply add a #self-assign comment on the issue to assign yourself.

On the other hand, we also have a slack channel for the initiative, would you mind joining our slack channel https://join.slack.com/t/nusacrowd/shared_invite/zt-1ca7vhvc7-MNA_2JTDvKLxVcR8vkDsVQ ?

As for the review for the dataset, I will review this work later today. Thank you!

— Reply to this email directly, view it on GitHub https://github.com/IndoNLP/nusa-crowd/pull/326#issuecomment-1321046213, or unsubscribe https://github.com/notifications/unsubscribe-auth/AICHJBUEUGL6XTHUIGVFDWLWJG4CVANCNFSM6AAAAAASDRDBEU . You are receiving this because you were mentioned.Message ID: @.***>

[RiaGusmita]

@holylovenia, @SamuelCahyawijaya, thank you!