| --- |
| 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 |
| } |
| ``` |
