Add Bengali Poems Classification dataset (train/validation/test split 6:2:2)

README.md

@@ -1,3 +1,119 @@
 ---
-license: cc-by-4.0
+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: 0
+  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

dataset_infos.yaml

@@ -0,0 +1,35 @@
+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: 0
+  dataset_size: 6848735
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train-*.parquet
+  - split: validation
+    path: validation-*.parquet
+  - split: test
+    path: test-*.parquet

test-00000-of-00001.parquet

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+size 1384384

train-00000-of-00001.parquet

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validation-00000-of-00001.parquet

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