PoetryMTEB/BengaliPoemsClassification

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