README.md

# Dataset Card for Custom Text Dataset

## Dataset Name
Custom Text Dataset

## Overview
This dataset contains text data for training language models.
The data is collected from various sources, including books, articles,
and web pages.

## Composition
- **Number of records**: 101
- **Fields**: `sentence`, `labels`
- **Size**: 510 KB

## Collection Process
The data was collected using web scraping and manual extraction
from public domain sources.

## Preprocessing
- Removed HTML tags and special characters
- Tokenized text into sentences

## How to Use
```python
from datasets import load_dataset
dataset = load_dataset("path_to_dataset")

for example in dataset["train"]:
    print(example["sentence"])
```

## Evaluation
This dataset is designed for evaluating text generation models.
Common evaluation metrics include ROUGE and BLEU.

## Limitations
The dataset may contain outdated or biased information.
Users should be aware of these limitations when using the data.

## Ethical Considerations
Privacy: Ensure that the data does not contain personal information.
Bias: Be aware of potential biases in the data.