Update README.md

README.md

@@ -13,39 +13,65 @@ This dataset contains a collection of 13,900 poems sourced from the Poetry Found
 **Dataset Structure**
 
 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.
-	3.	Tags: The thematic tags or categories associated with the poem, such as “love,” “nature,” or “grief.” Tags are derived directly from the Poetry Foundation website.
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+	3.	Tags: The thematic tags or categories associated with the poems.
 
 Dataset Highlights
-	•	Size: The dataset includes 13,900 rows, with each row representing an individual poem.
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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**
 
 This dataset is under **GNU Affero General Public License v3.0**.
 
-Acknowledgments
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+**Acknowledgments**
 
 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.