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---
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language:
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- en
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license: cc-by-sa-4.0
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tags:
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- python
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- stackoverflow
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- question-answering
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- instruct
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size_categories:
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- 1K<n<10K
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---
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# StackOverflow Python QA Dataset
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[](https://github.com/meeAtif)
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[](https://creativecommons.org/licenses/by-sa/4.0/)
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## Description
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This dataset contains high-quality Python questions and answers scraped from StackOverflow. It is designed for instruct-tuning Large Language Models (LLMs) or for question-answering tasks.
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- **Source**: StackOverflow
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- **Selection Criteria**:
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- Tag: `python`
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- Score: > 10
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- Must have an **accepted answer**
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- **Content**: Pairs of instructions (Question) and outputs (Accepted Answer).
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## Dataset Structure
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The dataset consists of the following fields:
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- `question_id`: The unique identifier for the question on StackOverflow.
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- `score`: The vote score of the question.
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- `tags`: A list of tags associated with the question.
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- `creation_date`: The timestamp of when the question was asked.
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- `instruction`: The full question title and body, cleaned of HTML.
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- `output`: The full body of the accepted answer, cleaned of HTML.
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## Sample Entry
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```json
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{
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"question_id": 12345,
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"score": 50,
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"tags": ["python", "list-comprehension"],
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"instruction": "How do I create a list... \n\n I have a loop that...",
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"output": "You can use a list comprehension:\n\n [x for x in iterable]"
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}
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```
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("meeAtif/stackoverflow-python-qa")
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print(dataset['train'][0])
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```
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## Author
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[](https://github.com/meeAtif)
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[](https://linkedin.com/in/meAtif)
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[](mailto:iatif@proton.me)
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---
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*Created by [Atif](https://github.com/meeAtif)*
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