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Add support for QQP dataset with unit tests #1713
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Nayef211
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May 17, 2022
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LGTM. Can we also make sure to add the sharding filter to the dataset as @parmeet mentioned here #1710 (comment).
Btw I think we can land irrespective of the test failures coming from linux (since this is caused by some recent changes related to torchdata). As long as all the tests are passing on mac os.
Nayef211
reviewed
May 18, 2022
| file_name = "quora_duplicate_questions.tsv" | ||
| txt_file = os.path.join(base_dir, file_name) | ||
| mocked_data = [] | ||
| print(txt_file) |
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Can we remove the print statement here
| def setUpClass(cls): | ||
| super().setUpClass() | ||
| cls.root_dir = cls.get_base_temp_dir() | ||
| print(cls.root_dir) |
This was referenced May 19, 2022
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Summary
Test
pytest test/datasets/test_qqp.pyContext
See #1710