metadata
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
}