license: apache-2.0
task_categories:
- question-answering
- text-generation
- conversational
language:
- en
tags:
- python
pretty_name: StackOverflow's Python Question-Answering Pair Dataset
size_categories:
- n<1K
Dataset Card for Python Q/A pair
This dataset card provides information about the Python Q/A pair dataset.
Dataset Details
Dataset Description
The Python Q/A pair dataset is a preprocessed version of a Python Q/A dataset from StackOverflow, which was originally hosted on Kaggle. The dataset contains high-ranked questions and their corresponding high-ranked answers, sorted from high to low rank.
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Uses
Direct Use
This dataset can be used for tasks such as question answering, text generation, and conversational AI research and development.
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Out-of-Scope Use
This dataset should not be used for tasks outside of natural language processing, such as image recognition or voice recognition.
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Dataset Structure
The dataset contains 100k rows of high-ranked questions and their corresponding high-ranked answers from StackOverflow.
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Dataset Creation
Curation Rationale
The dataset was curated to provide a resource for developing and testing natural language processing models, particularly in the domain of question answering and text generation.
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Source Data
The data in this dataset comes from StackOverflow Q/A pairs that were ranked 1 or above. The raw form of this dataset is hosted on Kaggle.
Data Collection and Processing
The data was collected from StackOverflow and preprocessed to include only high-ranked questions and their corresponding high-ranked answers.
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Who are the source data producers?
The source data was produced by users of StackOverflow.
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Annotations [optional]
This dataset does not contain any additional annotations.
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
The dataset does not contain any personal or sensitive information as it was derived from publicly available data on StackOverflow.
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Bias, Risks, and Limitations
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Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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