Datasets:

PoetryMTEB
/

BengaliPoemsClassification

dataset_info:
  features:
    - name: id
      dtype: string
    - name: poet
      dtype: string
    - name: title
      dtype: string
    - name: class
      dtype: string
    - name: text
      dtype: string
    - name: source_url
      dtype: string
  splits:
    - name: train
      num_bytes: 4114667
      num_examples: 3642
    - name: validation
      num_bytes: 1349684
      num_examples: 1214
    - name: test
      num_bytes: 1384384
      num_examples: 1214
  download_size: 31865790
  dataset_size: 6848735
configs:
  - config_name: default
    data_files:
      - split: train
        path: train-*.parquet
      - split: validation
        path: validation-*.parquet
      - split: test
        path: test-*.parquet

Bengali Poems Classification

This dataset contains Bengali poems with genre classification labels. The dataset includes 6,070 poems from 137 poets, categorized into 21 classes.

Dataset Information

Number of poets: 137
Total number of poems: 6,070
Number of classes: 21
Train/Validation/Test split: 6:2:2 (stratified by class)

Data Format

The dataset is stored in Parquet format with the following fields:

id: Unique identifier
poet: Poet name
title: Poem title
class: Poem class/genre (e.g., "ভক্তিমূলক", "প্রেম/ইরোটিক", etc.)
text: Poem text content
source_url: Source URL (if available)

Poem Classes

The dataset includes 21 poem classes. Some of the main classes include:

Love/Erotic (প্রেম/ইরোটিক)
Reflective (চিন্তাশীল)
Humanism (মানবতা)
Sonnet (সনেট)
Devotional (ভক্তিমূলক)
Allegory (রূপক)
Nature (প্রকৃতি)
Rhymes (ছড়া)
Patriotic (দেশপ্রেমমূলক)
And more...

Train/Validation/Test Split

The dataset is split into:

Training set: 60% of the data
Validation set: 20% of the data
Test set: 20% of the data

The split is performed with stratified sampling based on poem classes to ensure balanced distribution across all splits.

Citation

If you use this dataset, please cite:

@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},
  keywords = {Bengali Poems, Corpora, Datasets, Language Resources, Natural Language Processing, Stylometric Datasets},
  location = {Bangkok, Thailand},
  series = {NLPIR '22}
}

Source

The original dataset can be found at: https://github.com/shuhanmirza/Bengali-Poem-Dataset

Original Dataset Structure

The original dataset has a three-level directory structure:

Level 1: Poet name (poet directory)
Level 2: Poem title (poem directory)
Level 3: Three text files:
- CLASS.txt: Poem class/genre
- SOURCE.txt: Source URL and timestamp
- {title}.txt: Poem text content