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---
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: poet
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dtype: string
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- name: title
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dtype: string
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- name: class
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dtype: string
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- name: text
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dtype: string
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- name: source_url
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dtype: string
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splits:
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- name: train
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num_bytes: 4114667
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num_examples: 3642
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- name: validation
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num_bytes: 1349684
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num_examples: 1214
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- name: test
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num_bytes: 1384384
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num_examples: 1214
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download_size: 31865790
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dataset_size: 6848735
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configs:
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- config_name: default
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data_files:
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- split: train
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path: train-*.parquet
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- split: validation
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path: validation-*.parquet
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- split: test
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path: test-*.parquet
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---
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# Bengali Poems Classification
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This dataset contains Bengali poems with genre classification labels. The dataset includes 6,070 poems from 137 poets, categorized into 21 classes.
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## Dataset Information
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- **Number of poets**: 137
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- **Total number of poems**: 6,070
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- **Number of classes**: 21
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- **Train/Validation/Test split**: 6:2:2 (stratified by class)
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## Data Format
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The dataset is stored in Parquet format with the following fields:
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- `id`: Unique identifier
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- `poet`: Poet name
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- `title`: Poem title
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- `class`: Poem class/genre (e.g., "ভক্তিমূলক", "প্রেম/ইরোটিক", etc.)
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- `text`: Poem text content
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- `source_url`: Source URL (if available)
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## Poem Classes
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The dataset includes 21 poem classes. Some of the main classes include:
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- Love/Erotic (প্রেম/ইরোটিক)
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- Reflective (চিন্তাশীল)
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- Humanism (মানবতা)
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- Sonnet (সনেট)
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- Devotional (ভক্তিমূলক)
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- Allegory (রূপক)
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- Nature (প্রকৃতি)
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- Rhymes (ছড়া)
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- Patriotic (দেশপ্রেমমূলক)
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- And more...
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## Train/Validation/Test Split
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The dataset is split into:
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- **Training set**: 60% of the data
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- **Validation set**: 20% of the data
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- **Test set**: 20% of the data
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The split is performed with stratified sampling based on poem classes to ensure balanced distribution across all splits.
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## Citation
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If you use this dataset, please cite:
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```
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@inproceedings{10.1145/3582768.3582788,
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author = {Shuhan, Mirza Kamrul Bashar and Dey, Rupasree and Saha, Sourav and Anjum, Md Shafa Ul and Zaman, Tarannum Shaila},
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title = {A Stylometric Dataset for Bengali Poems},
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year = {2023},
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isbn = {9781450397629},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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url = {https://doi.org/10.1145/3582768.3582788},
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doi = {10.1145/3582768.3582788},
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booktitle = {Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval},
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pages = {176–180},
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numpages = {5},
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keywords = {Bengali Poems, Corpora, Datasets, Language Resources, Natural Language Processing, Stylometric Datasets},
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location = {Bangkok, Thailand},
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series = {NLPIR '22}
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}
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```
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## Source
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The original dataset can be found at: https://github.com/shuhanmirza/Bengali-Poem-Dataset
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## Original Dataset Structure
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The original dataset has a three-level directory structure:
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- **Level 1**: Poet name (poet directory)
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- **Level 2**: Poem title (poem directory)
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- **Level 3**: Three text files:
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- `CLASS.txt`: Poem class/genre
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- `SOURCE.txt`: Source URL and timestamp
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- `{title}.txt`: Poem text content
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