Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
csv
Languages:
Portuguese
Size:
10K<n<100K
Tags:
License:
File size: 1,755 Bytes
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---
pretty_name: CosmosQA Português
language:
- pt
license:
- cc-by-4.0
source_datasets:
- cosmos_qa
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: contexto
dtype: string
- name: pergunta
dtype: string
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: Label
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 25262
- name: validation
num_examples: 2985
- name: test
num_examples: 6963
task_categories:
- multiple-choice
---
# Cosmos QA Português
Este dataset é uma tradução para português do Cosmos QA, que originalmente é na língua inglesa.
A tradução foi feita automaticamente usando o GPT-3.5-turbo, logo pode ter erros que não foram notados numa análise superficial.
Se atente ao uso.
# Dataset Card for cosmos_qa
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{huang-etal-2019-cosmos,
title = "Cosmos {QA}: Machine Reading Comprehension with Contextual Commonsense Reasoning",
author = "Huang, Lifu and
Le Bras, Ronan and
Bhagavatula, Chandra and
Choi, Yejin",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-1243",
doi = "10.18653/v1/D19-1243",
pages = "2391--2401",
}
``` |