blbooksgenre / README.md
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metadata
license: cc0-1.0
pretty_name: BL Books Genre
language:
  - en
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
tags:
  - lam
  - GLAM
  - 19th-century
  - books
  - british-library
  - living-with-machines
dataset_info:
  - config_name: annotated_raw
    features:
      - name: BL record ID
        dtype: string
      - name: Name
        dtype: string
      - name: Dates associated with name
        dtype: string
      - name: Type of name
        dtype: string
      - name: Role
        dtype: string
      - name: All names
        list: string
      - name: Title
        dtype: string
      - name: Variant titles
        dtype: string
      - name: Series title
        dtype: string
      - name: Number within series
        dtype: string
      - name: Country of publication
        list: string
      - name: Place of publication
        list: string
      - name: Publisher
        dtype: string
      - name: Date of publication
        dtype: string
      - name: Edition
        dtype: string
      - name: Physical description
        dtype: string
      - name: Dewey classification
        dtype: string
      - name: BL shelfmark
        dtype: string
      - name: Topics
        dtype: string
      - name: Genre
        dtype: string
      - name: Languages
        list: string
      - name: Notes
        dtype: string
      - name: BL record ID for physical resource
        dtype: string
      - name: classification_id
        dtype: string
      - name: user_id
        dtype: string
      - name: subject_ids
        dtype: string
      - name: annotator_date_pub
        dtype: string
      - name: annotator_normalised_date_pub
        dtype: string
      - name: annotator_edition_statement
        dtype: string
      - name: annotator_FAST_genre_terms
        dtype: string
      - name: annotator_FAST_subject_terms
        dtype: string
      - name: annotator_comments
        dtype: string
      - name: annotator_main_language
        dtype: string
      - name: annotator_other_languages_summaries
        dtype: string
      - name: annotator_summaries_language
        dtype: string
      - name: annotator_translation
        dtype: string
      - name: annotator_original_language
        dtype: string
      - name: annotator_publisher
        dtype: string
      - name: annotator_place_pub
        dtype: string
      - name: annotator_country
        dtype: string
      - name: annotator_title
        dtype: string
      - name: Link to digitised book
        dtype: string
      - name: annotated
        dtype: bool
      - name: Type of resource
        dtype:
          class_label:
            names:
              '0': Monograph
              '1': Serial
      - name: created_at
        dtype: timestamp[s]
      - name: annotator_genre
        dtype:
          class_label:
            names:
              '0': Fiction
              '1': Can't tell
              '2': Non-fiction
              '3': The book contains both Fiction and Non-Fiction
    splits:
      - name: train
        num_bytes: 3582954
        num_examples: 4398
    download_size: 985607
    dataset_size: 3582954
  - config_name: raw
    features:
      - name: BL record ID
        dtype: string
      - name: Name
        dtype: string
      - name: Dates associated with name
        dtype: string
      - name: Type of name
        dtype: string
      - name: Role
        dtype: string
      - name: All names
        list: string
      - name: Title
        dtype: string
      - name: Variant titles
        dtype: string
      - name: Series title
        dtype: string
      - name: Number within series
        dtype: string
      - name: Country of publication
        list: string
      - name: Place of publication
        list: string
      - name: Publisher
        dtype: string
      - name: Date of publication
        dtype: string
      - name: Edition
        dtype: string
      - name: Physical description
        dtype: string
      - name: Dewey classification
        dtype: string
      - name: BL shelfmark
        dtype: string
      - name: Topics
        dtype: string
      - name: Genre
        dtype: string
      - name: Languages
        list: string
      - name: Notes
        dtype: string
      - name: BL record ID for physical resource
        dtype: string
      - name: classification_id
        dtype: string
      - name: user_id
        dtype: string
      - name: subject_ids
        dtype: string
      - name: annotator_date_pub
        dtype: string
      - name: annotator_normalised_date_pub
        dtype: string
      - name: annotator_edition_statement
        dtype: string
      - name: annotator_FAST_genre_terms
        dtype: string
      - name: annotator_FAST_subject_terms
        dtype: string
      - name: annotator_comments
        dtype: string
      - name: annotator_main_language
        dtype: string
      - name: annotator_other_languages_summaries
        dtype: string
      - name: annotator_summaries_language
        dtype: string
      - name: annotator_translation
        dtype: string
      - name: annotator_original_language
        dtype: string
      - name: annotator_publisher
        dtype: string
      - name: annotator_place_pub
        dtype: string
      - name: annotator_country
        dtype: string
      - name: annotator_title
        dtype: string
      - name: Link to digitised book
        dtype: string
      - name: annotated
        dtype: bool
      - name: Type of resource
        dtype:
          class_label:
            names:
              '0': Monograph
              '1': Serial
              '2': Monographic component part
      - name: created_at
        dtype: string
      - name: annotator_genre
        dtype: string
    splits:
      - name: train
        num_bytes: 27517664
        num_examples: 55343
    download_size: 10767714
    dataset_size: 27517664
  - config_name: title_genre_classifiction
    features:
      - name: BL record ID
        dtype: string
      - name: title
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': Fiction
              '1': Non-fiction
    splits:
      - name: train
        num_bytes: 187592
        num_examples: 1736
    download_size: 116943
    dataset_size: 187592
configs:
  - config_name: annotated_raw
    data_files:
      - split: train
        path: annotated_raw/train-*
  - config_name: raw
    data_files:
      - split: train
        path: raw/train-*
  - config_name: title_genre_classifiction
    data_files:
      - split: train
        path: title_genre_classifiction/train-*

BL Books Genre

A dataset of metadata records for British Library digitised books with crowdsourced genre annotations (fiction / non-fiction). Created as part of the Living with Machines project.

A model trained on this dataset is available at TheBritishLibrary/bl-books-genre (DistilBERT, ~0.94 accuracy on the held-out test set).

Subsets

This dataset has three configurations:

Config Rows Use
title_genre_classifiction 1,736 Curated title → fiction/non-fiction training set used to train TheBritishLibrary/bl-books-genre. Start here for classification tasks.
annotated_raw 4,398 All Zooniverse-annotated records, including ambiguous cases (Can't tell, both fiction and non-fiction). Useful for reproducing annotation analysis.
raw 55,343 The full set of BL digitised book metadata records (annotated and unannotated). Useful for inference at scale or for sampling additional candidates.

Source materials

Limitations & caveats

  • Time period bias: heavily weighted toward the later 19th century (mean publication year ~1864, median ~1877; range covers 16th–early 20th century but mostly 19th)
  • Language bias: ~22,987 English-language titles vs. <500 titles in any single other language. Non-English performance is unreliable.
  • Cataloguing conventions: titles follow British Library cataloguing standards; titles from other catalogues may behave differently
  • Annotation provenance: a portion of the curated training subset uses Snorkel weak labels rather than human annotation alone

Validate on your own corpus before relying on a trained model.

Citation

If you use this dataset, please cite the Living with Machines project:

@misc{vanstrien_lwm_genre,
  author = {van Strien, Daniel and Tolfo, Giorgia and Morris, Victoria and Beelen, Kaspar},
  title = {Genre Classification of British Library 19th-Century Books},
  publisher = {Living with Machines / The Alan Turing Institute / British Library},
  url = {https://living-with-machines.github.io/genre-classification/}
}

Related

License

CC0-1.0 — the metadata is in the public domain. See the British Library's open metadata strategy.