task_categories:table-question-answering size_categories:1K<n<10K language:en license:creativeml-openrail-m region:us
---
license: creativeml-openrail-m
language:
- en
size_categories:
- 1K<n<10K
task_categories:
- table-question-answering
pretty_name: lamini-practice_dataset
---
## Dataset Information

- **Dataset Name:** Question Answers
- **Source:** Hugging Face Datasets Library 
- **Description:** This dataset contains a collection of questions and their corresponding answers . 
- **Size:** 1.4k
```
USAGE:
## 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")


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
```

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