Datasets:
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# 📚 GutenQA-Paragraphs
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GutenQA-
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The [GutenQA](https://huggingface.co/datasets/LumberChunker/GutenQA) dataset, as available, is the result of applying the text segmentation method [LumberChunker](https://github.com/joaodsmarques/LumberChunker) to the GutenQA-
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The dataset is organized into the following columns:
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- `Book ID`: A unique integer identifier assigned to each book.
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- `Chunk ID`: An integer identifier for each chunk of the book. Chunks are listed in the sequence they appear in the book.
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- `Chapter`: The name(s) of the chapter(s) from which the chunk is derived. If LumberChunker merged paragraphs from multiple chapters, the names of all relevant chapters are included.
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# 📚 GutenQA-Paragraphs
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GutenQA-Paragraphs consists on the same 100 Public Domain Narrative Books used in [GutenQA](https://huggingface.co/datasets/LumberChunker/GutenQA). In this version, passages are extracted at the paragraph level.<br>
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The [GutenQA](https://huggingface.co/datasets/LumberChunker/GutenQA) dataset, as available, is the result of applying the text segmentation method [LumberChunker](https://github.com/joaodsmarques/LumberChunker) to the GutenQA-Paragraphs.<br>
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The dataset is organized into the following columns:
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- `Book ID`: A unique integer identifier assigned to each book.
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- `Chunk ID`: An integer identifier for each chunk of the book. Chunks are listed in the sequence they appear in the book.
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- `Chapter`: The name(s) of the chapter(s) from which the chunk is derived. If LumberChunker merged paragraphs from multiple chapters, the names of all relevant chapters are included.
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- `Chunk`: Each row contains a book passage which, in this dataset, is a single paragraph.
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