Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Vietnamese
Size:
10K - 100K
ArXiv:
dataset_info: | |
features: | |
- name: context | |
dtype: string | |
- name: question | |
dtype: string | |
- name: answers | |
sequence: | |
- name: answer_start | |
dtype: int32 | |
- name: text | |
dtype: string | |
- name: id | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 97291797 | |
num_examples: 84816 | |
- name: validation | |
num_bytes: 714691 | |
num_examples: 511 | |
- name: test | |
num_bytes: 7800838 | |
num_examples: 5495 | |
download_size: 19775204 | |
dataset_size: 105807326 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: validation | |
path: data/validation-* | |
- split: test | |
path: data/test-* | |
task_categories: | |
- question-answering | |
language: | |
- vi | |
size_categories: | |
- 10K<n<100K | |
Vietnamese portion of MLQA for monolingual QA | |
The train split is the machine translated train data from SQuAD v1.1. | |
The validation split and the test split are from MLQA. | |
We created this particular version with the following code: | |
```python | |
import datasets | |
# Machine translated train data from SQuAD v1.1. | |
mlqa_train_dev = datasets.load_dataset("facebook/mlqa", "mlqa-translate-train.vi") | |
# Original validation and test data from MLQA | |
mlqa_val_test = datasets.load_dataset("facebook/mlqa", "mlqa.vi.vi") | |
# Merge and create our version | |
mlqa = mlqa_train_dev | |
mlqa["validation"] = mlqa_val_test["validation"] | |
mlqa["test"] = mlqa_val_test["test"] | |
``` | |
### Citation Information | |
``` | |
@article{lewis2019mlqa, | |
title = {MLQA: Evaluating Cross-lingual Extractive Question Answering}, | |
author = {Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger}, | |
journal = {arXiv preprint arXiv:1910.07475}, | |
year = 2019, | |
eid = {arXiv: 1910.07475} | |
} | |
@inproceedings{rajpurkar-etal-2016-squad, | |
title = "{SQ}u{AD}: 100,000+ Questions for Machine Comprehension of Text", | |
author = "Rajpurkar, Pranav and | |
Zhang, Jian and | |
Lopyrev, Konstantin and | |
Liang, Percy", | |
editor = "Su, Jian and | |
Duh, Kevin and | |
Carreras, Xavier", | |
booktitle = "Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing", | |
month = nov, | |
year = "2016", | |
address = "Austin, Texas", | |
publisher = "Association for Computational Linguistics", | |
url = "https://aclanthology.org/D16-1264", | |
doi = "10.18653/v1/D16-1264", | |
pages = "2383--2392", | |
eprint={1606.05250}, | |
archivePrefix={arXiv}, | |
primaryClass={cs.CL}, | |
} | |
``` |