Closes #24 | Add dataset loader for UIT-ViSD4SA

[jensan-1]

Please name your PR after the issue it closes. You can use the following line: "Closes #24 " 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 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.

[jensan-1]

To reviewers:
I revised some of the implementations regarding the dataset loader for seacrowd.
This task is a span detection for aspect-based sentiment analysis.
Currently, the closest task is supposed to be Tasks.ASPECT_BASED_SENTIMENT_ANALYSIS.
However, since there are aspects with contradictory labels in the same data and to preserve the span, I moved the task to Tasks.COREFERENCE_RESOLUTION and contain the information in schema seacrowd_kb instead of the schema seacrowd_text_multi.

Please let me know of the possible adjustments or any suggestions regarding the implementation of the dataloader.

[holylovenia]

Hi @jen-santoso, thanks for your contribution!! 🥳 Before the review, please let me throw a quick question to the other maintainers: I'll make a new task Tasks.SPAN_BASED_ABSA for this dataloader if you both agree @sabilmakbar @SamuelCahyawijaya.

[sabilmakbar]

Sounds perfect to me, @holylovenia! Thanks!

[SamuelCahyawijaya]

@holylovenia @jen-santoso : Does the task can simply be framed as sequence labelling using the IOB tag?

[holylovenia]

Hi @SamuelCahyawijaya, thanks for the brilliant suggestion. @jen-santoso and I discussed the possibility of using the schema seq_label for this Tasks.SPAN_BASED_ABSA and agreed with your suggestion.

I have changed the schema-task mapping accordingly in the master branch and @jen-santoso will change the kb schema to seq_label for this dataloader implementation.

[jensan-1]

@holylovenia @SamuelCahyawijaya done changing the schema to seq_label. Please check!

[holylovenia]

Hi @jen-santoso, thanks for the dataloader! It works well. I have a minor request though, could you please provide the _LANGUAGES constant?

[jensan-1]

@holylovenia updated

[holylovenia]

@holylovenia updated

Ah sorry I wasn't clear before, array form please. 🙏

[jensan-1]

@holylovenia updated

Ah sorry I wasn't clear before, array form please. 🙏

oops, ok now in array form >.<

[holylovenia]

Thanks for your help, @jen-santoso!! Looks good to me~ Let's wait for @SamuelCahyawijaya's review before we proceed to merging.

[SamuelCahyawijaya]

@jen-santoso : thank you for updating the schema. LGTM!.

Based on our internal discussion, we decided to give +2 bonus points for this contribution.