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--- |
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license: mit |
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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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- music |
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- lyrics |
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- art |
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pretty_name: Genius Lyrics (English Subset) |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- brunokreiner/genius-lyrics |
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--- |
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# Genius Lyrics |
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This dataset is a processed, lightweight subset of the original brunokreiner/genius-lyrics dataset. It has been filtered to focus exclusively on English songs with valid artist data, making it optimized for NLP tasks involving English songwriting, lyric generation, or genre classification. |
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All original credit goes to [Bruno Kreiner](https://huggingface.co/brunokreiner) for scraping and compiling the original data. This version is simply a filtered downsize for ease of use. |
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## Processing & Filtering |
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The following processing steps were applied to the original dataset to create this version: |
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- Artist Validation: Removed all rows where the artist_name was missing or null. |
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- Language Filtering: Filtered strictly for English songs (where is_english was marked as True). |
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-Feature Reduction: Dropped extraneous metadata columns to reduce file size and complexity. Only the essential columns for lyric analysis were retained. |
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## Dataset Structure |
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The dataset consists of a CSV file containing the following columns: |
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- artist_name (string): The name of the recording artist or band. |
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- genres_list (string/list): A list of genres associated with the track. |
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- lyrics (string): The full text of the song lyrics. |
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## Usage |
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You can load this dataset directly using the Hugging Face datasets library: |
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```Python |
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from datasets import load_dataset |
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dataset = load_dataset("theelderemo/song-lyrics") |
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``` |
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Credits & License |
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Original Dataset: [brunokreiner/genius-lyrics](https://huggingface.co/datasets/brunokreiner/genius-lyrics) |
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Original Author: Bruno Kreiner |
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Please refer to the original dataset for specific licensing details regarding the scraped content. |