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Add FrenchModernPoetryStyleClassification (3 styles; upstream train/test; de-leak exact text)
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metadata
license: other
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
language:
  - fr
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
pretty_name: FrenchModernPoetryStyleClassification
tags:
  - poetry
  - french
  - style-classification
  - literary-movement
  - symbolisme
  - romantisme
  - parnasse
  - mteb
  - poetrymteb
  - embedding-evaluation
annotations_creators:
  - expert-generated
source_datasets:
  - wkwg429/FrenchLiteratureTextClassification
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
    default: true
dataset_info:
  - config_name: default
    features:
      - name: id
        dtype: string
      - name: poem
        dtype: string
      - name: label
        dtype: int64
      - name: label_name
        dtype: string
    splits:
      - name: train
        num_examples: 1143
      - name: test
        num_examples: 494

FrenchModernPoetryStyleClassification

Single-label French poetry literary-style / movement classification for PoetryMTEB, derived from FrenchLiteratureTextClassification (Yang, Wang & Wang, Information 2024).

Three classes: Parnasse (classical lyric), Romantisme, Symbolisme (modernist).

Dataset Card

Item Description
Source https://github.com/wkwg429/FrenchLiteratureTextClassification
Paper Reimagining Literary Analysis: Utilizing Artificial Intelligence to Classify Modernist French Poetry (DOI 10.3390/info15020070)
Languages French (fr)
Unit Poem text (poem; upstream field content)
Classes 3 literary styles / movements
Size train=1143; test=494
Splits Upstream train_set.csv / test_set.csv; train texts that exactly match any test poem were removed (9 dropped) to avoid leakage
Text note Upstream preprocessing: typically lowercased French with diacritics removed
Evaluation metrics Classification on embeddings: accuracy, macro/weighted F1

Label taxonomy (3)

id label_name name_zh gloss train test total
0 Parnasse 古典抒情 Parnassian / classical lyric style 387 171 558
1 Romantisme 浪漫主义 Romanticism 448 183 631
2 Symbolisme 现代主义 Symbolism / modernist French poetry 308 140 448

Codebook: label_taxonomy.json.

Features

Field Type Description
id string Example id
poem string Poem body (preprocessed French)
label int64 Class index 0–2
label_name string Parnasse / Romantisme / Symbolisme

Construction method

  1. Load upstream ml/data/french/train_set.csv and test_set.csv (genre, content).
  2. Map genre ids to readable movement names (same mapping as upstream TF-IDF/Doc2Vec scripts).
  3. Drop train rows whose poem text exactly equals any test poem.
  4. Export parquet splits for PoetryMTEB embedding classification.

Citation

@Article{info15020070,
  AUTHOR = {Yang, Liu and Wang, Gang and Wang, Hongjun},
  TITLE = {Reimagining Literary Analysis: Utilizing Artificial Intelligence to Classify Modernist French Poetry},
  JOURNAL = {Information},
  VOLUME = {15},
  YEAR = {2024},
  NUMBER = {2},
  ARTICLE-NUMBER = {70},
  URL = {https://www.mdpi.com/2078-2489/15/2/70},
  ISSN = {2078-2489},
  DOI = {10.3390/info15020070}
}

Upstream code/data: https://github.com/wkwg429/FrenchLiteratureTextClassification

License

Follow the upstream GitHub repository and MDPI article terms for reuse.