Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Vietnamese
Size:
10K - 100K
ArXiv:
Update README.md
Browse files
README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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Vietnamese portion of MLQA: https://huggingface.co/datasets/facebook/mlqa
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The train split is the machine translated train data from SQuAD v1.1.
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The validation split and the test split are from MLQA.
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We created this particular version with the following code:
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```python
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import datasets
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# Machine translated train data from SQuAD v1.1.
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mlqa_train_dev = datasets.load_dataset("facebook/mlqa", "mlqa-translate-train.vi")
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# Original validation and test data from MLQA
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mlqa_val_test = datasets.load_dataset("facebook/mlqa", "mlqa.vi.vi")
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# Merge and create our version
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mlqa = mlqa_train_dev
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mlqa["validation"] = mlqa_val_test["validation"]
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mlqa["test"] = mlqa_val_test["test"]
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```
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### Citation Information
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```
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@article{lewis2019mlqa,
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title = {MLQA: Evaluating Cross-lingual Extractive Question Answering},
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author = {Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger},
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journal = {arXiv preprint arXiv:1910.07475},
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year = 2019,
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eid = {arXiv: 1910.07475}
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}
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```
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