metadata

license: cc-by-4.0
task_categories:
  - summarization
language:
  - en
pretty_name: Custom CNN/Daily Mail Summarization Dataset
size_categories:
  - n<1K

Dataset Card for Custom Text Dataset

Dataset Name

Custom CNN/Daily Mail Summarization Dataset

Overview

This dataset is a custom version of the CNN/Daily Mail dataset, designed for text summarization tasks. It contains news articles and their corresponding summaries.

Composition

The dataset consists of two splits:

Train: 1 custom example
Test: 100 examples from the original CNN/Daily Mail dataset

Each example contains:

'sentence': The full text of a news article
'labels': The summary of the article

Collection Process

The training data is a custom example created manually, while the test data is sampled from the CNN/Daily Mail dataset (version 3.0.0) available on Hugging Face.

Preprocessing

No specific preprocessing was applied beyond the original CNN/Daily Mail dataset preprocessing.

How to Use

from datasets import load_from_disk

# Load the dataset
dataset = load_from_disk("./results/custom_dataset/")

# Access the data
train_data = dataset['train']
test_data = dataset['test']

# Example usage
print(train_data['sentence'])
print(train_data['labels'])

Evaluation

This dataset is intended for text summarization tasks. Common evaluation metrics include ROUGE scores, which measure the overlap between generated summaries and reference summaries.

Limitations

The training set is extremely small (1 example), which may limit its usefulness for model training.
The test set is a subset of the original CNN/Daily Mail dataset, which may not represent the full diversity of news articles.

Ethical Considerations

The dataset contains news articles, which may include sensitive or biased content.
Users should be aware of potential copyright issues when using news content for model training or deployment.
Care should be taken to avoid generating or propagating misleading or false information when using models trained on this dataset.