Add Kurdish Poetry Meter Classification dataset (train/validation/test split 6:2:2, meters with >=10 poems)

README.md

@@ -1,3 +1,115 @@
 ---
-license: cc-by-4.0
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: poet
+      dtype: string
+    - name: poem_number
+      dtype: string
+    - name: title
+      dtype: string
+    - name: form
+      dtype: string
+    - name: meter
+      dtype: string
+    - name: text
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 582403
+      num_examples: 624
+    - name: validation
+      num_bytes: 186694
+      num_examples: 208
+    - name: test
+      num_bytes: 188966
+      num_examples: 209
+  download_size: 4337280
+  dataset_size: 958063
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train-*.parquet
+      - split: validation
+        path: validation-*.parquet
+      - split: test
+        path: test-*.parquet
 ---
+
+# Kurdish Poetry Meter Classification
+
+This dataset contains Central Kurdish poems with meter classification labels. The dataset includes poems from vejinbooks.com, prepared by AsoSoft group.
+
+## Dataset Information
+
+- **Language**: Central Kurdish (ckb)
+- **Total poems**: 1041
+- **Number of meters (after filtering)**: 15 (only meters with >=10 poems)
+- **Train/Validation/Test split**: 6:2:2 (stratified by meter)
+
+## Data Format
+
+The dataset is stored in Parquet format with the following fields:
+
+- `id`: Unique identifier
+- `poet`: Poet name (extracted from filename, e.g., "Diɫdar", "Ḧacî Qadir")
+- `poem_number`: Poem number (extracted from filename, e.g., "001", "018")
+- `title`: Poem title (usually same as the first hemistich)
+- `form`: Form of the poem (e.g., غەزەل, مەسنەوی, نوێ)
+- `meter`: Meter pattern of the poem (e.g., مفاعیلن مفاعیلن مفاعیلن مفاعیلن)
+- `text`: Poem text content (with # separator removed, newlines preserved)
+
+## Filtering Criteria
+
+- Only poems with meters that have at least 10 poems are included
+- Format validation: Only files with correct format (title:, form:, meter: prefixes) are included
+- Poems must have more than 5 lines (more than 2 couplets)
+
+## 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 meter classes to ensure balanced distribution across all splits.
+
+## Original Data Format
+
+In the original files, each poem is stored as:
+- Line 1: `title: ...` (Title of the poem)
+- Line 2: `form: ...` (Form of the poem)
+- Line 3: `meter: ...` (Meter pattern)
+- Line 4+: Poem text (with # as couplet separator)
+
+## Source
+
+The original dataset was collected from vejinbooks.com by AsoSoft group. This dataset was used for evaluation of an automatic Kurdish poem meter identification method based on Optimality theory.
+
+Prepared by: Aso Mahmudi (aso.mehmudi@gmail.com)
+
+## Citation
+
+If you use this dataset, please cite the following paper:
+
+```
+Mahmudi A, Veisi H (2023) Automatic meter classification of Kurdish poems. 
+PLOS ONE 18(2): e0280263. https://doi.org/10.1371/journal.pone.0280263
+```
+
+BibTeX format:
+```bibtex
+@article{mahmudi2023automatic,
+  title={Automatic meter classification of Kurdish poems},
+  author={Mahmudi, Aso and Veisi, Hadi},
+  journal={PLOS ONE},
+  volume={18},
+  number={2},
+  pages={e0280263},
+  year={2023},
+  publisher={Public Library of Science San Francisco, CA USA},
+  doi={10.1371/journal.pone.0280263}
+}
+```

dataset_infos.yaml

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+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: poet
+    dtype: string
+  - name: poem_number
+    dtype: string
+  - name: title
+    dtype: string
+  - name: form
+    dtype: string
+  - name: meter
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 582403
+    num_examples: 624
+  - name: validation
+    num_bytes: 186694
+    num_examples: 208
+  - name: test
+    num_bytes: 188966
+    num_examples: 209
+  download_size: 4337280
+  dataset_size: 958063
+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 188966

train-00000-of-00001.parquet

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+oid sha256:9a531dfc888e14afc7ae29ddea7caa248b05c300a7bd44e81b438da70cc272cd
+size 582403

validation-00000-of-00001.parquet

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+size 186694