Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
Chinese
Size:
1K - 10K
License:
Rebuild from Dataverse Excel: correct 0-6 labels + ZH/EN names + Dataset Card (train/test only)
1c2a1b0 verified metadata
license: cc0-1.0
task_categories:
- text-classification
task_ids:
- multi-class-classification
language:
- zh
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: Classical Chinese Poetry Theme Classification
tags:
- poetry
- chinese
- classical-chinese
- theme-classification
- multi-class-classification
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- expert-generated
source_datasets:
- doi:10.7910/DVN/6QJ7RK
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
- name: label_name_en
dtype: string
- name: label_name_zh
dtype: string
splits:
- name: train
num_examples: 2624
- name: test
num_examples: 292
Classical Chinese Poetry Theme Classification
Multi-class theme classification of classical Chinese poetry for PoetryMTEB embedding evaluation.
Upstream: A thematic classification dataset for Classical Chinese poetry (Hou, Harvard Dataverse, DOI), with Hou & Zhang, JOCH 2024 (paper). Nearly 3,000 annotated poems across seven themes (Chunqiu → Qing).
Dataset Card
| Item | Description |
|---|---|
| Dataset version (PoetryMTEB) | 1.0.1 |
| Source | Harvard Dataverse DVN/6QJ7RK (train.xlsx / test.xlsx) |
| Paper | Hou J, Zhang S. Exploring Thematic Diversity in Classical Chinese Poetry… JOCH 17(4), 2024 (DOI) |
| Languages | Classical Chinese / Chinese (zh) |
| Unit | Full poem text (poem) |
| Labels | Single-label 7 themes (label 0–6, matching Dataverse README) |
| Size | train=2624; test=292; total=2916 |
| Splits | train / test only (no validation) |
| License | CC0 1.0 |
| Evaluation metrics | Accuracy, macro/micro F1 |
Label taxonomy (7)
| id | label_name (zh) | name_en | train | test | total |
|---|---|---|---|---|---|
| 0 | 爱情婚姻 |
Love and Marriage | 269 | 43 | 312 |
| 1 | 交友送别 |
Friendship and Farewell | 621 | 74 | 695 |
| 2 | 羁旅思乡 |
Journey and Homesickness | 318 | 35 | 353 |
| 3 | 边塞战争 |
Frontier and War | 207 | 23 | 230 |
| 4 | 山水田园 |
Landscape and Countryside | 337 | 31 | 368 |
| 5 | 咏史怀古 |
History and Nostalgia | 354 | 33 | 387 |
| 6 | 托物言志 |
Expressing emotions through objects | 518 | 53 | 571 |
| id | Description (EN) |
|---|---|
| 0 | Joys, sorrows, and ups and downs of love, marriage, and family life. |
| 1 | Praise of friendship, sorrow of parting, anticipation of reunion. |
| 2 | Longing for hometown and family; loneliness of travel and exile. |
| 3 | Border warfare; loyalty, courage, and sacrifice of soldiers. |
| 4 | Love of natural scenery; pastoral and landscape imagery. |
| 5 | Historical events, figures, and cultural memory; nostalgia. |
| 6 | Thoughts and feelings conveyed via portrayal/symbolism of objects. |
Codebook: label_taxonomy.json.
Features
| Field | Type | Description |
|---|---|---|
id |
string | Example id (ccptc-{split}-{row}) |
poem |
string | Classification input |
label |
int64 | Theme id 0–6 |
label_name |
string | Chinese theme name |
label_name_en |
string | English theme name |
label_name_zh |
string | Chinese theme name |
Construction method
- Download upstream
train.xlsx/test.xlsxfrom Dataverse. - Keep official 0–6 labels; attach ZH/EN names from the Dataverse README.
- Write PoetryMTEB parquet + Dataset Card + supporting materials.
Supporting materials
| Path | Content |
|---|---|
VERSION / LICENSE / CITATION.* / metadata.json |
Packaging metadata |
label_taxonomy.json |
Theme codebook (ZH/EN) |
splits/*_ids.txt |
Split id lists |
checksums.sha256 |
File checksums |
scripts/evaluate_cc_theme_clf.py |
Baseline TF-IDF + LR probe |
How to load
from datasets import load_dataset
ds = load_dataset("PoetryMTEB/ClassicalChinesePoetryThemeClassification")
print(ds["train"][0]["poem"][:80])
print(ds["train"][0]["label_name"], ds["train"][0]["label_name_en"], ds["train"][0]["label"])
Citation
@article{10.1145/3685679,
author = {Hou, Jingrui and Zhang, Shitou},
title = {Exploring Thematic Diversity in Classical Chinese Poetry: A Novel Dataset and a BERT-enhanced Ensemble Learning Approach},
year = {2024},
journal = {Journal on Computing and Cultural Heritage},
volume = {17},
number = {4},
publisher = {ACM},
doi = {10.1145/3685679},
url = {https://doi.org/10.1145/3685679}
}
@data{hou2024classical_theme,
author = {Hou, Jingrui},
title = {A thematic classification dataset for Classical Chinese poetry},
year = {2024},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/6QJ7RK},
url = {https://doi.org/10.7910/DVN/6QJ7RK}
}
This Hub packaging: PoetryMTEB/ClassicalChinesePoetryThemeClassification (version 1.0.1)
License
CC0 1.0 (Dataverse).
古典汉语诗歌主题分类(中文说明)
7 类:爱情婚姻、交友送别、羁旅思乡、边塞战争、山水田园、咏史怀古、托物言志。
train=2624 / test=292(无 validation);标签 0–6。