Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
French
Size:
1K - 10K
License:
Add FrenchModernPoetryStyleClassification (3 styles; upstream train/test; de-leak exact text)
f48cff4 verified 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
- Load upstream
ml/data/french/train_set.csvandtest_set.csv(genre,content). - Map
genreids to readable movement names (same mapping as upstream TF-IDF/Doc2Vec scripts). - Drop train rows whose
poemtext exactly equals any test poem. - 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.