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Quora Duplicate Questions Dataset
Data Science and Analytics
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Free
About
This dataset is designed to help identify semantically equivalent questions, even if they are phrased differently. It addresses the common challenge on large Q&A platforms like Quora, where many users ask similarly worded questions with the same underlying intent. By providing a clear method for detecting duplicate questions, this dataset aims to enhance the experience for both content seekers and writers. Canonical questions offer a more streamlined experience for users searching for answers and reduce the need for writers to address multiple versions of the same query.
Columns
- index: A unique identifier for each entry in the dataset.
- id: An additional identifier for the row, often mirroring the index.
- qid1: A unique identifier for the first question in the pair.
- qid2: A unique identifier for the second question in the pair.
- question1: The text content of the first question.
- question2: The text content of the second question.
- is_duplicate: A binary flag indicating whether
question1andquestion2are semantically identical (1 for duplicate, 0 for not duplicate).
Distribution
The dataset is typically provided in a CSV file format. While specific row or record counts for the entire dataset are not detailed in the available information, it comprises question pairs designed for duplicate detection. The structure is tabular, with clearly defined columns for question identifiers, text, and a duplication flag.
Usage
This dataset is ideal for developing and evaluating Natural Language Processing (NLP) models focused on semantic similarity, text classification, and question-answering systems. It can be used for:
- Training machine learning models to identify duplicate questions.
- Improving search algorithms on Q&A platforms to direct users to canonical answers.
- Enhancing content management systems by merging redundant questions.
- Developing tools for automated moderation of user-generated content.
Coverage
The dataset is global in its regional scope. It was listed on 26 June 2025. No specific demographic breakdown or time range for the question content beyond the listing date is provided.
License
CC0
Who Can Use It
This dataset is highly valuable for:
- Data Scientists and Machine Learning Engineers for training and testing NLP models.
- NLP Researchers studying semantic similarity, text analytics, and information retrieval.
- Developers building Q&A platforms, chatbots, or search engines.
- Academics for research into language understanding and duplicate content detection.
Dataset Name Suggestions
- Quora Duplicate Questions Dataset
- Question Pair Duplication Detection Data
- Quora Semantic Equivalence Dataset
- Online Question Duplicate Classifier
- Q&A Text Similarity Corpus
Attributes
Original Data Source: Quora Duplicate qns
QUALITY