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Open QA Systems Dataset
Education & Learning Analytics
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About
This dataset is the SQuAD 2.0 train dataset, converted from JSON into a CSV format. It is designed to facilitate the development of sophisticated open question-answering systems. The dataset offers a valuable resource for training and evaluating models focused on understanding and responding to natural language queries.
Columns
The dataset includes the following columns:
- Indexs: An index column, likely for row identification.
- context: The paragraph text from which questions are derived and answers are extracted.
- question: The question posed in relation to the 'context' paragraph.
- id: A unique identifier for each question-answer pair.
- answer_start: The starting character position of the answer within the 'context' text.
- text: The exact text of the answer extracted from the corresponding 'context' paragraph.
Distribution
The dataset is provided in a CSV file format. Specific total row or record counts are not available in the provided information. However, the 'context' column contains 18,877 unique paragraphs, the 'question' column has 86,769 unique questions, and the 'id' column contains 86,821 unique identifiers. The distribution of answer start positions and answer text lengths varies across the dataset.
Usage
This dataset is ideal for applications in artificial intelligence and machine learning, particularly for building and refining complex open question-answering systems. It can be utilised for tasks such as natural language understanding, reading comprehension, and chatbot development.
Coverage
The dataset's coverage is global, implying its content is not restricted to any specific geographic region. Information regarding a specific time range or demographic scope for the data itself is not specified, beyond the dataset being listed in 2025 as version 1.0.
License
CCO
Who Can Use It
This dataset is suitable for researchers, machine learning engineers, data scientists, and developers working on natural language processing projects. It is especially useful for those aiming to create or improve AI-powered question-answering applications, educational learning analytics tools, or large language models requiring robust training data.
Dataset Name Suggestions
- SQuAD 2.0 Question Answering CSV
- Open QA Systems Dataset
- SQuAD v2.0 Training Data
- Machine Reading Comprehension Dataset
Attributes
Original Data Source:Question Answering Dataset
QUALITY