Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
English
Size:
1M - 10M
License:
license: cc0-1.0 | |
language: en | |
# Allison Parrish's Gutenberg Poetry Corpus | |
This corpus was originally published under the CC0 license by [Allison Parrish](https://www.decontextualize.com/). Please visit Allison's fantastic [accompanying GitHub repository](https://github.com/aparrish/gutenberg-poetry-corpus) for usage inspiration as well as more information on how the data was mined, how to create your own version of the corpus, and examples of projects using it. | |
> This is a Gutenberg Poetry corpus, comprised of approximately three million lines of poetry extracted from hundreds of books from Project Gutenberg. The corpus is especially suited to applications in creative computational poetic text generation. | |
This dataset contains 3,085,117 lines of poetry each with its corresponding id from project Gutenberg. | |
```python | |
Dataset({ | |
features: ['line', 'gutenberg_id'], | |
num_rows: 3085117 | |
}) | |
``` | |
A row of data looks like this: | |
```python | |
{'line': 'And retreated, baffled, beaten,', 'gutenberg_id': 19} | |
``` | |