|
--- |
|
language: et |
|
dataset_info: |
|
features: |
|
- name: context |
|
dtype: string |
|
- name: question |
|
dtype: string |
|
- name: answers |
|
list: |
|
- name: answer_start |
|
dtype: int64 |
|
- name: text |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: id |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 772885 |
|
num_examples: 776 |
|
- name: test |
|
num_bytes: 590275 |
|
num_examples: 603 |
|
download_size: 257799 |
|
dataset_size: 1363160 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
license: cc-by-4.0 |
|
task_categories: |
|
- question-answering |
|
pretty_name: EstQA |
|
--- |
|
|
|
|
|
# Estonian Question Answering dataset |
|
|
|
* Dataset for extractive question answering in Estonian. It is based on Wikipedia articles, pre-filtered via PageRank. Annotation was done by one person. |
|
* Train set includes 776 context-question-answer triplets. There are several possible answers per question, each in a separate triplet. Number of different questions is 512. |
|
* Test set includes 603 samples. Each sample contains one or more golden answers. Altogether there are 892 golden ansewrs. |
|
|
|
### Change log |
|
|
|
* Version 1.2: restructured from https://huggingface.co/datasets/anukaver/EstQA to use flattened structure |
|
* Version 1.1: Test set v1.1 adds some more golden answers. |
|
|
|
### Reference |
|
If you use this dataset for research, please cite the following paper: |
|
|
|
``` |
|
@mastersthesis{mastersthesis, |
|
author = {Anu Käver}, |
|
title = {Extractive Question Answering for Estonian Language}, |
|
school = {Tallinn University of Technology (TalTech)}, |
|
year = 2021 |
|
} |
|
``` |
