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---
language:
- fi
tags:
- qa
pretty_name: Turku WebQA
size_categories:
- 100K<n<1M
---
### Dataset Summary
The Turku WebQA dataset is a Finnish Question-Answer dataset that has been extracted from different CommonCrawl sources (Parsebank, mC4-Fi, CC-Fi).
It has 237,000 question-answer pairs (altogether 290,000 questions, but not all have an answer). The questions with no answers can be discarded by taking out the rows with None (null).
The codebase as well as the raw data can be found on [GitHub](https://github.com/TurkuNLP/register-qa).
### Data Fields
- `source`: a `string` feature. Tells whether the question-answer pair is extracted from Parsebank, mC4-Fi or CC-Fi.
- `id`: a `string` feature. Id of the original text from which the question-answer pair is extracted.
- `question`: a `string` feature.
- `answer`: a `string` feature. Can also be None (null).
### Manual evalution of the pairs
To get an idea on how good the extracted pairs were, a sample was annotated for noisy artefacts, insufficient answers and missing context.
The evaluation showed that there is variation between the different source corpora.
| Source | Noisy artefacts | Insufficient Answer | Missing context |
| -------- | -------- | -------- | -------- |
| Total (N=73) | 0,29 | 0,22 | 0,08 |
| CC-Fi (N=25) | 0,36 | 0,22 |0,03 |
| mC4-Fi (N=25) | 0,28 | 0,28 | 0,14 |
| Parsebank (N=22) | 0,23 | 0,14 | 0,07 |
### Citing
Citing information coming soon! |