Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
no-annotation
License:
| annotations_creators: | |
| - no-annotation | |
| language: | |
| - en | |
| language_creators: | |
| - found | |
| license: | |
| - cc0-1.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Gutenberg Poetry Corpus | |
| size_categories: | |
| - 1M<n<10M | |
| source_datasets: [] | |
| tags: | |
| - poetry | |
| - stylistics | |
| - poems | |
| - gutenberg | |
| task_categories: | |
| - text-generation | |
| task_ids: | |
| - language-modeling | |
| # 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 dataset contains 3,085,117 lines of poetry from hundreds of Project Gutenberg books. Each line has a corresponding `gutenberg_id` (1191 unique values) 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} | |
| ``` | |