metadata

language:
  - it
dataset_info:
  features:
    - name: volume
      dtype: string
    - name: canto
      dtype: string
    - name: tercet
      dtype: int64
    - name: verse_number
      dtype: int64
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 1182296
      num_examples: 14233
  download_size: 458870
  dataset_size: 1182296
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Divina Commedia Dataset

Overview

The Divina Commedia (Divine Comedy) is an epic poem by Dante Alighieri, widely considered one of the greatest works of world literature. This dataset contains the text of the poem, organized into volumes, cantos, and verses. It is suitable for various natural language processing (NLP) tasks, such as text analysis, machine learning, and linguistic research.

Dataset Structure

The dataset is structured in a hierarchical format, with the following attributes:

volume: The name of the volume (e.g., Inferno, Purgatorio, Paradiso).
canto: The name of the canto (e.g., Canto I).
tercet: The number of the tercet (a group of three verses).
verse_number: The number of the verse within the tercet.
text: The actual text of the verse.
text_length: The length of the verse text in characters.

Example Entry

volume	canto	tercet	verse_number	text
Inferno	Canto I	1	1	Nel mezzo del cammin di nostra vita
Inferno	Canto I	1	2	mi ritrovai per una selva oscura,
Inferno	Canto I	1	3	ché la diritta via era smarrita.

Usage

To load the dataset using the datasets library from Hugging Face, you can use the following code:

from datasets import load_dataset

dataset = load_dataset("maiurilorenzo/divina-commedia")

# Display the first few entries
print(dataset["train"].to_pandas().head())