README.md

metadata

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).

The dataset 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.

The extracted question-answer pairs include various topics from the source corpora, some of which are explored in the paper for which the citing information can be found below.

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!