task_categories:text-generation size_categories:100K<n<1M source_datasets:tiiuae/falcon-refinedweb source_datasets:JeanKaddour/minipile language:en license:apache-2.0 arxiv:2306.01116 arxiv:2304.08442 region:us
---
license: apache-2.0
task_categories:
- text-generation
language:
- en
pretty_name: Tiny English
size_categories:
- 100K<n<1M
source_datasets:
- tiiuae/falcon-refinedweb
- JeanKaddour/minipile
---

# Tiny English

A collection of short texts that have been curated for long-term human value. The texts in this dataset have been filtered from the [falcon-refinedweb](https://arxiv.org/abs/2306.01116) and [minipile](https://arxiv.org/abs/2304.08442) datasets to ensure better quality and tiny in size.

The tiny-en dataset is concise and small in size, yet highly diverse, making it an excellent resource for training natural language processing models. Despite its compact size, the dataset offers a wide range of content that has been carefully selected for its long-term human value. This makes it an ideal choice for researchers and developers who want to train their models on a diverse and high-quality dataset without having to deal with the challenges of working with large amounts of data.

The short length of the texts in the tiny-en dataset makes it easy to work with, while the long-term human value of the content ensures that the models trained on this dataset will be able to produce meaningful and relevant results. So, if you’re looking for a concise, small, yet highly diverse dataset for your natural language processing needs, be sure to check out the tiny-en dataset!

Explore the repository and discover the potential of the tiny series datasets for your research and development efforts. I am always looking for ways to improve this dataset and make it even more useful to the community, so please don't hesitate to share your feedback with me. Thank you for your interest in tiny-en! 😊