The FairplayQA dataset is a collection of questions and answers related to the field of sports. It is designed to assess the accuracy and reliability of information within the domain of sports, covering a wide range of topics including articles, activities, and various actors in the sports industry.
The dataset includes:
- Questions: A set of questions related to sports, spanning different categories and levels of complexity.
- Answers: Corresponding answers to each question, indicating the expected or verified accuracy of the information.
(Example/Draft/Idea) The dataset is provided in a structured format with the following columns:
- Category: Health, Nutrition, Stereotype.
- Question: The sports-related question.
- Answer: The corresponding answer to the question.
- Label: A binary label indicating the correctness or accuracy of the answer (1 for correct, 0 for incorrect).
Researchers and data enthusiasts can utilize this dataset for tasks such as:
- Fact-Checking Models: Training and evaluating models for verifying the accuracy of sports-related statements.
- Knowledge Validation: Assessing the reliability of sports-related information.
- The Boolean Questions Dataset by Google Research Datasets provides a similar approach for assessing veracity in a different context.
- The TruthfulQA dataset offers insights into assessing veracity in a different domain.
For any questions or concerns regarding the dataset, please contact [[email protected]].