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Contextual Answer Generation Dataset
Data Science and Analytics
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Free
About
This dataset focuses on answer prediction, a vital task in natural language processing. It was originally identified from a problem statement for the Inter IIT Tech Meet 11.0, organised by IIT Kanpur. Beyond its initial competition context, this dataset offers broad applicability for various analytical and research purposes, facilitating the development of advanced question answering systems and text understanding models.
Columns
- Paragraph: The main text block from a specific theme that potentially contains the answer to a question.
- Question: The query for which an answer is sought from the provided paragraph.
- Theme: The domain or subject area to which the paragraph and question belong, such as 'cricket', 'mathematics', or 'biology'. This field contains 361 distinct values.
- Answer_possible: A boolean indicator specifying whether an answer to the question can be extracted from the given paragraph. This is true for approximately 67% of records and false for the remaining 33%.
- Answer_text: The exact segment of text from the paragraph that serves as the answer.
- Answer_start: The character index position within the paragraph where the
Answer_textbegins.
Distribution
The dataset is typically provided in a CSV file format. It contains approximately 75,000 individual records, each featuring a paragraph, a question, and associated answer details. Specific row and record counts will be updated when a sample file becomes available on the platform. The dataset is globally available.
Usage
This dataset is ideal for a range of data science and analytics applications. Key use cases include:
- Developing and testing text classification models.
- Training and evaluating Natural Language Processing (NLP) systems.
- Research in linguistics and computational text analysis.
- Implementing word embedding techniques such as Word2vec and Skip-gram.
- Building and refining automated question answering systems.
Coverage
The dataset's scope is global. It does not specify particular geographic or demographic limitations for the content. The themes covered are diverse, ranging across various subjects as indicated by the 'Theme' column.
License
CC0
Who Can Use It
This dataset is highly suitable for:
- Universities and Colleges: For academic research, coursework, and competitive programming events.
- Data Scientists and Analysts: For developing and refining NLP models and text-based solutions.
- AI and LLM Developers: For training and fine-tuning large language models and other artificial intelligence applications that require understanding and generating answers from text.
- Researchers: In the fields of linguistics, machine learning, and information retrieval.
Dataset Name Suggestions
- Answer Prediction Data
- Inter IIT QA Dataset
- Question Answering Research Data
- Contextual Answer Generation Dataset
- NLP Question Answer Pair Collection
Attributes
Original Data Source: Answer Prediction Dataset
QUALITY