Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
extended|wikipedia
Tags:
License:
pretty_name: FaQuAD | |
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
language: | |
- pt | |
license: | |
- cc-by-4.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- n<1K | |
source_datasets: | |
- extended|wikipedia | |
task_categories: | |
- question-answering | |
task_ids: | |
- extractive-qa | |
# paperswithcode_id: faquad | |
train-eval-index: | |
- config: plain_text | |
task: question-answering | |
task_id: extractive_question_answering | |
splits: | |
train_split: train | |
eval_split: validation | |
col_mapping: | |
question: question | |
context: context | |
answers: | |
text: text | |
answer_start: answer_start | |
metrics: | |
- type: squad | |
name: SQuAD | |
# Dataset Card for FaQuAD | |
## Table of Contents | |
- [Table of Contents](#table-of-contents) | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** https://github.com/liafacom/faquad | |
- **Repository:** https://github.com/liafacom/faquad | |
- **Paper:** https://ieeexplore.ieee.org/document/8923668/ | |
<!-- - **Leaderboard:** --> | |
- **Point of Contact:** Eraldo R. Fernandes <eraldoluis@gmail.com> | |
### Dataset Summary | |
Academic secretaries and faculty members of higher education institutions face a common problem: | |
the abundance of questions sent by academics | |
whose answers are found in available institutional documents. | |
The official documents produced by Brazilian public universities are vast and disperse, | |
which discourage students to further search for answers in such sources. | |
In order to lessen this problem, we present FaQuAD: | |
a novel machine reading comprehension dataset | |
in the domain of Brazilian higher education institutions. | |
FaQuAD follows the format of SQuAD (Stanford Question Answering Dataset) [Rajpurkar et al. 2016]. | |
It comprises 900 questions about 249 reading passages (paragraphs), | |
which were taken from 18 official documents of a computer science college | |
from a Brazilian federal university | |
and 21 Wikipedia articles related to Brazilian higher education system. | |
As far as we know, this is the first Portuguese reading comprehension dataset in this format. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
[More Information Needed] | |
## Dataset Structure | |
### Data Instances | |
[More Information Needed] | |
### Data Fields | |
| name |train|validation| | |
|---------|----:|----:| | |
|faquad|837|63| | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
[More Information Needed] | |
### Citation Information | |
[More Information Needed] | |
### Contributions | |
Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset. | |