size_categories:100K<n<1M language:en license:creativeml-openrail-m region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: text
    sequence: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 1050044765.3094152
    num_examples: 500349
  - name: test
    num_bytes: 2098624.690584802
    num_examples: 1000
  download_size: 536668482
  dataset_size: 1052143390
license: creativeml-openrail-m
language:
- en
size_categories:
- 100K<n<1M
pretty_name: Question-Answer
---
# Dataset Card for "instruct-python-llama2-20k"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

```
# Stack Overflow Question Answers Dataset

This repository contains a dataset of questions and answers from Stack Overflow, provided by the Hugging Face Datasets library. The dataset is designed for use in natural language processing (NLP) and machine learning projects.

## Dataset Information

- **Dataset Name:** Stack Overflow Question Answers
- **Source:** Hugging Face Datasets Library
- **Description:** This dataset contains a collection of questions and their corresponding answers from the Stack Overflow platform. It covers a wide range of programming topics, making it suitable for various NLP tasks.
- **Size:** 20k


## Installation

To use this dataset, you'll need to have the `datasets` library installed. You can install it using the following command:

```bash
pip install datasets

Usage
Importing the Library: Import the necessary modules from the library in your Python code:

```
from datasets import load_dataset
```
dataset = load_dataset("Andyrasika/instruct-python-llama2-20k")

# # Removes the index(Optional)
dataset = dataset.remove_columns("__index_level_0__ ")

Data Exploration: You can explore the structure of the dataset, its columns, and their content:

print(dataset.column_names)  # Print the column names
print(dataset["train"].features)  # Print information about the dataset's features
```


License
All contributions are under the CC-BY-SA 3.0. Attribution is required. The original dataset was posted [here](https://www.kaggle.com/datasets/stackoverflow/pythonquestions).

Acknowledgments
This dataset is made available by the Hugging Face Datasets library, which provides a wide range of NLP datasets for research and development.