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language:
- en
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# WikiQuest-NLP Dataset

**WikiQuest-NLP** is a comprehensive dataset designed for training and evaluating NLP models.It is generated using the Google NQ dataset. It contains two main components:

1. **Filtered Wikipedia Data**: A cleaned and filtered version of Wikipedia content, extracted and processed for NLP training.
2. **Question-Answer Pairs**: A CSV file with contextually relevant questions and their corresponding answers, derived from the filtered Wikipedia text.

## Features

### Filtered Wikipedia Data (TXT)

- **Content**: This file contains text from Wikipedia, preprocessed to remove irrelevant content and formatted with newline characters to preserve paragraph structure.
- **Format**: Plain text file with newline-separated paragraphs for easy use in language modeling.

### Question-Answer Pairs (CSV)

- **Columns**:
  - `context`: The filtered Wikipedia text providing context for the question.
  - `question`: The question pertaining to the context.
  - `answer`: The answer to the question, extracted from the context.
- **Format**: Comma-separated values (CSV) file, suitable for direct use in question-answering model training.

## Usage

- **Language Modeling**: Use the filtered Wikipedia data to train language models from scratch or as a base for further fine-tuning.
- **Question Answering**: Utilize the question-answer pairs for training models on question-answering tasks, enabling evaluation and improvement of QA systems.

## How to Access

The dataset is hosted on Hugging Face, accessible for direct download and integration into your projects.

- [Download WikiQuest-NLP Dataset](link-to-your-dataset-on-hugging-face)

## License

This dataset is created and provided for research and educational purposes. Ensure compliance with usage policies and licensing terms when incorporating the dataset into your work.

## Contact

For any questions or issues regarding the dataset, please contact:

- **Your Name**: Piyush Bhatt
- **Your GitHub**: https://github.com/Piyush2102020

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We hope WikiQuest-NLP serves as a valuable resource for your NLP research and model development. Happy modeling!