Dataset Card for "WikiQA-100-fi"

Dataset Summary

WikiQA-100-fi dataset contains 100 questions related to Finnish Wikipedia articles. The dataset is in the SQuAD format, and there are 10 questions for each category identified by the authors of SQuAD. Unlike SQuAD2.0, WikiQA-100-fi contains only answerable questions. The dataset is tiny compared to actual QA test sets, but it still gives an impression of the models' performance on purely native text data collected by a native speaker. The dataset was originally created as an evaluation set for models that had been mostly fine-tuned with automatically translated QA data. More information about the dataset and models created with it can be found here.

Dataset Structure

Data Instances

Example data:

{
    "title": "Folksonomia",
    "paragraphs": [
        {
            "qas": [
                {
                    "question": "Minkälaista sisältöä käyttäjät voivat luokitella folksonomian avulla?",
                    "id": "6t4ufel624",
                    "answers": [
                        {
                            "text": "www-sivuja, valokuvia ja linkkejä",
                            "answer_start": 155
                        }
                    ],
                    "is_impossible": false
                }
            ],
            "context": "Folksonomia (engl. folksonomy) on yhteisöllisesti tuotettu, avoin luokittelujärjestelmä, jonka avulla internet-käyttäjät voivat luokitella sisältöä, kuten www-sivuja, valokuvia ja linkkejä. Etymologisesti folksonomia on peräisin sanojen \"folk\" (suom. väki) ja \"taxonomy\" (suom. taksonomia) leikkimielisestä yhdistelmästä."
        }
    ]
}

Data Fields

plain_text

• id: a string feature.
• title: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:
  • text: a string feature.
  • answer_start: a int32 feature.

Data Splits

name	test
plain_text	100

Citation Information

@MastersThesis{3241c198b3f147faacbc6d8b64ed9419,
  author   = "Kylli{\"a}inen, {Ilmari}",
  title    = "Neural Factoid Question Answering and Question Generation for Finnish",
  language = "en",
  address  = "Helsinki, Finland",
  school   = "University of Helsinki",
  year     = "2022",
  month    = "jun",
  day      = "15",
  url      = "https://helda.helsinki.fi/handle/10138/344973"
}