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license: cc-by-nc-4.0
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### Dataset Card for QA Bias Detection Dataset

**Summary**

- **Description**: This dataset is designed for the task of bias detection in text, particularly focusing on dimensions of ageism and sentiment analysis. It contains question-answer pairs that assess potential biases in statements.
- **Purpose**: To facilitate research and development in the areas of bias detection, natural language understanding, and sentiment analysis.
- **Supported Tasks**: Bias detection, sentiment analysis, natural language understanding, question answering.
- **Languages**: English

**Composition**

- **Size of Dataset**: 3,900 rows.
- **Column Names**: ['text', 'dimension', 'aspect', 'biased_words', 'sentiment', 'aggregate_label', 'Bias Type', 'Question', 'Answer', one column for indexing].
- **Data Format**: Each record contains a text statement, its associated dimensions and aspects of bias, biased words identified, sentiment, aggregate label for bias, bias type, and a QA pair for bias detection.

**Source Data**

- **Initial Data Collection and Normalization**: curated

**Annotations**

- **Annotation process**: Annotations include bias type, sentiment, and question-answer pairs evaluating the presence and type of bias in the text.
- **Who are the annotators?**: Human annotation.

**Personal and Sensitive Information**

- **Considerations**: The dataset contains text that may include sensitive topics related to bias and sentiment.

**Considerations for Using the Data**

- **Social Impact of Dataset**: The dataset could be valuable for developing systems that detect and mitigate bias in textual data.
- **Other Known Limitations**: The dataset's effectiveness is limited to the scope of its annotations and the quality of its text sources.