custom_summarization_dataset

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

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The dataset may contain outdated or biased information.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.