README.md

metadata

license: gpl-3.0
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
language:
  - bn
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
pretty_name: BengaliPoemThemeClassification
tags:
  - poetry
  - bangla
  - bengali
  - theme-classification
  - genre-classification
  - text-classification
  - mteb
  - poetrymteb
  - embedding-evaluation
  - stylometry
annotations_creators:
  - expert-generated
source_datasets:
  - shuhanmirza/Bengali-Poem-Dataset
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
    default: true
dataset_info:
  - config_name: default
    features:
      - name: id
        dtype: string
      - name: title
        dtype: string
      - name: author
        dtype: string
      - name: poem
        dtype: string
      - name: label
        dtype: int64
      - name: label_name
        dtype: string
    splits:
      - name: train
        num_examples: 4134
      - name: validation
        num_examples: 518
      - name: test
        num_examples: 518

BengaliPoemThemeClassification

Single-label Bengali poem theme / subject classification for PoetryMTEB, derived from the Bengali Poem Dataset (stylometric corpus).

Only 12 theme-oriented CLASS labels are kept; formal genre labels (sonnet, nursery rhyme, epic, etc.) are excluded.

Dataset Card

Item	Description
Source	shuhanmirza/Bengali-Poem-Dataset
Paper	A Stylometric Dataset for Bengali Poems (NLPIR 2022 / ACM, 2023)
Languages	Bangla / Bengali (bn)
Size	5170 poems (from 6070; dropped 900 non-theme / form-labeled); train=4134; validation=518; test=518
Classes	12 theme labels
Splits	Stratified by theme ≈ 80% / 10% / 10%, seed=42
License	GPL-3.0 (same as upstream repo)
Evaluation metrics	Classification on embeddings: accuracy, macro/weighted F1

---

Split statistics

Split	#poems	ratio
train	4134	79.96%
validation	518	10.02%
test	518	10.02%
total	5170	100%

Per-theme counts by split

id	label_name	romanization	gloss	train	validation	test	total
0	প্রেমমূলক	Premamūlaka	Love / romantic	1084	136	136	1356
1	চিন্তামূলক	Cintāmūlaka	Contemplative / philosophical	1052	132	132	1316
2	মানবতাবাদী	Mānabatābādī	Humanist	579	72	72	723
3	ভক্তিমূলক	Bhaktimūlaka	Devotional	316	39	39	394
4	রূপক	Rūpaka	Allegorical / metaphorical	314	39	39	392
5	প্রকৃতিমূলক	Prakṛtimūlaka	Nature	277	35	35	347
6	স্বদেশমূলক	Svadeśamūlaka	Patriotic	199	25	25	249
7	নীতিমূলক	Nītimūlaka	Didactic / moral	144	18	18	180
8	হাস্যরসাত্মক	Hāsyarasātmaka	Humorous	101	13	13	127
9	শোকমূলক	Śokamūlaka	Elegiac / sorrowful	43	6	6	55
10	ব্যঙ্গাত্মক	Byangātmaka	Satirical	17	2	2	21
11	স্তোত্রমূলক	Stotramūlaka	Hymn / praise	8	1	1	10
	Sum			4134	518	518	5170

Excluded form-oriented labels: সনেট, ছড়া, কাহিনীকাব্য, গীতিগাথা, মহাকাব্য, গাথাকাব্য, নাট্যগীতি, গীতিনাটিকা, লিপিমূলক.

Codebook: label_taxonomy.json.

---

Features

Field	Type	Description
id	string	Example id
title	string	Poem title (folder name)
author	string	Poet name (parent folder)
poem	string	Poem body
label	int64	Theme class index
label_name	string	Theme label in Bangla (CLASS.txt)

---

Construction method

1. Scan Bengali-Poem-Dataset dataset/{poet}/{title}/.
2. Read CLASS.txt; keep only the 12 theme labels listed above.
3. Load poem .txt (excluding CLASS.txt / SOURCE.txt).
4. Stratified train / validation / test split by theme.

---

How to load

from datasets import load_dataset

ds = load_dataset("PoetryMTEB/BengaliPoemThemeClassification")
print(ds["test"][0]["label_name"], ds["test"][0]["title"])

---

License

Distributed under GNU General Public License v3.0 (GPL-3.0), consistent with the upstream GitHub repository.

---

Citation / provenance

Please cite the original stylometric dataset paper and repository:

@inproceedings{10.1145/3582768.3582788,
author = {Shuhan, Mirza Kamrul Bashar and Dey, Rupasree and Saha, Sourav and Anjum, Md Shafa Ul and Zaman, Tarannum Shaila},
title = {A Stylometric Dataset for Bengali Poems},
year = {2023},
isbn = {9781450397629},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3582768.3582788},
doi = {10.1145/3582768.3582788},
booktitle = {Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval},
pages = {176–180},
numpages = {5},
location = {Bangkok, Thailand},
series = {NLPIR '22}
}

• GitHub: https://github.com/shuhanmirza/Bengali-Poem-Dataset
• Paper: https://doi.org/10.1145/3582768.3582788
• This Hub packaging: PoetryMTEB/BengaliPoemThemeClassification