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Jaymerry/NotreDameDeParis-FR

VictorHugo-Structured (FR) — Notre-Dame de Paris Dataset Description VictorHugo-Structured (FR) is a structured literary dataset derived from the French public-domain novel Notre-Dame de Paris (1831) by Victor Hugo. The dataset provides chapter-level records enriched with machine-generated summaries, keywords, and character mentions, while preserving the original text verbatim. This dataset is intended for NLP research, digital humanities, and experimentation with… See the full description on the dataset page: https://huggingface.co/datasets/Jaymerry/NotreDameDeParis-FR.

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VictorHugo-Structured (FR) — Notre-Dame de Paris

Dataset Description

VictorHugo-Structured (FR) is a structured literary dataset derived from the French public-domain novel Notre-Dame de Paris (1831) by Victor Hugo.

The dataset provides chapter-level records enriched with machine-generated summaries, keywords, and character mentions, while preserving the original text verbatim.

This dataset is intended for NLP research, digital humanities, and experimentation with LLMs on public-domain literature.

Languages

  • —French (fr)

Dataset Structure

Each record corresponds to one chapter.

Main Fields

  • —text: full original chapter text (public domain)
  • —summary: LLM-generated chapter summary
  • —keywords: extracted thematic keywords
  • —characters: characters mentioned in the chapter
  • —book_number, book_title: book-level structure (Livre Premier, etc.)
  • —chapter_number, chapter_title, chapter_roman
  • —chapter_id: stable unique identifier
  • —metadata fields (source, license, version, character counts)

Source Data

  • —Work: Notre-Dame de Paris
  • —Author: Victor Hugo
  • —First publication: 1831
  • —Source: Project Gutenberg (eBook #19657)
  • —URL: https://www.gutenberg.org/ebooks/19657

Non-narrative sections (front matter, notes, license text) were excluded during processing.

Annotations

The following fields are machine-generated using a local LLM (GGUF) via LM Studio:

  • —summary
  • —keywords
  • —characters

Annotations are chapter-scoped and do not introduce information beyond the original text.

Intended Uses

  • —NLP experiments (summarization, keyword extraction, NER)
  • —Digital humanities research
  • —Evaluation of LLMs on structured literary data
  • —RAG pipelines using public-domain texts
  • —Educational and research purposes

Out-of-Scope Uses

  • —Claiming human authorship of the annotations
  • —Misrepresenting machine-generated summaries as original literary analysis
  • —Proprietary relicensing of the dataset

Licensing Information

Text Content

  • —Notre-Dame de Paris is in the public domain.
  • —The text is sourced from Project Gutenberg.
  • —No endorsement by Project Gutenberg is implied.

Annotations and Dataset Structure

  • —All annotations are machine-generated.
  • —Dataset structure and annotations are released under CC0-1.0.

Ethical Considerations

  • —No personal data related to living individuals
  • —No sensitive or harmful content intentionally added
  • —Machine-generated annotations may contain inaccuracies

Citation

VictorHugo-Structured (FR) — Notre-Dame de Paris. Derived from Victor Hugo (1831), Project Gutenberg eBook #19657. Machine-generated annotations via local LLM. Processed by Jeremy Banchet (Jaymerry)