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--- |
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license: agpl-3.0 |
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task_categories: |
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- text-generation |
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- text-classification |
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language: |
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- en |
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tags: |
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- Poem |
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size_categories: |
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- 10K<n<100K |
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--- |
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From: https://www.kaggle.com/datasets/tgdivy/poetry-foundation-poems |
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**Poetry Foundation Poems Dataset** |
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**Overview** |
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This dataset contains a collection of 13,900 poems sourced from the Poetry Foundation website. Each poem entry includes its title, author, and associated tags (if available). The dataset provides a robust resource for exploring poetry, analyzing thematic trends, or creating applications such as poem generators. |
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**Dataset Structure** |
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The dataset consists of the following columns: |
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1. Title: The title of the poem. |
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2. Author: The name of the poem’s author. |
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3. Tags: The thematic tags or categories associated with the poems. |
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Dataset Highlights |
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• Size: The dataset includes 13,9k rows, with each row representing an individual poem. |
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• Diversity: Poems span a wide range of topics and authors, making it a rich resource for literary and thematic exploration. |
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• Tags: The tags provide a structured way to categorize and filter poems by themes, enhancing the dataset’s usability for research and creative projects. |
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**Use Cases** |
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1. Poem Generation: |
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Train models to generate poems based on user-inputted topics or tags. |
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2. Thematic and Sentiment Analysis: |
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Analyze trends in poetic themes, sentiments, or styles over time. |
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3. NLP Tasks: |
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Use the dataset for text classification, clustering, or other natural language processing tasks. |
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4. Educational Resources: |
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Develop tools or applications for poetry analysis, learning, or teaching. |
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5. Visualizations: |
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Create word clouds or charts using the tags to identify common themes in poetry. |
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**Technical Details** |
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• File Size: Approximately 13,900 rows of data. |
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• Format: Typically provided in CSV or JSON format. |
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• Dependencies: |
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• Pandas for data manipulation. |
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• NLTK or spaCy for natural language processing. |
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• Matplotlib or WordCloud for creating visualizations. |
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**Licensing** |
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This dataset is under **GNU Affero General Public License v3.0**. |
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**Acknowledgments** |
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The dataset was compiled to provide researchers, developers, and enthusiasts with a structured collection of poetry for creative and analytical purposes. All credits go to the original authors and the Poetry Foundation for their work in making these poems accessible. |
