Add Arabic Poetry Meter Classification dataset

README.md

@@ -1,3 +1,104 @@
 ---
-license: cc-by-4.0
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: meter_id
+      dtype: int64
+    - name: meter_name
+      dtype: string
+    - name: verse
+      dtype: string
+    - name: verse_part1
+      dtype: string
+    - name: verse_part2
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 6949029
+      num_examples: 47124
+    - name: test
+      num_bytes: 1255648
+      num_examples: 8316
+  download_size: 6429814
+  dataset_size: 8204677
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train-*.parquet
+      - split: test
+        path: test-*.parquet
 ---
+
+# Arabic Poetry Meter Classification
+
+This dataset is for Arabic poetry meter classification. The dataset contains Arabic verses and their corresponding meter classes.
+
+## Dataset Information
+
+The dataset is divided into training and testing sets:
+- **Training set**: More than 47,124 verses
+- **Test set**: More than 8,316 verses
+- **Total**: 55,440 verses
+
+## Meter Classes
+
+The dataset includes 14 meter classes (0-13):
+
+| Meter ID | Meter Name |
+|----------|-----------|
+| 0 | Saree |
+| 1 | Kamel |
+| 2 | Mutakareb |
+| 3 | Mutadarak |
+| 4 | Munsareh |
+| 5 | Madeed |
+| 6 | Mujtath |
+| 7 | Ramal |
+| 8 | Baseet |
+| 9 | Khafeef |
+| 10 | Taweel |
+| 11 | Wafer |
+| 12 | Hazaj |
+| 13 | Rajaz |
+
+## Data Format
+
+The dataset is stored in Parquet format with the following fields:
+
+- `id`: Unique identifier
+- `meter_id`: Meter class ID (0-13)
+- `meter_name`: Meter class name
+- `verse`: Full verse text (with '#' separator removed)
+- `verse_part1`: First part of the verse (before '#')
+- `verse_part2`: Second part of the verse (after '#')
+
+## Original Data Format
+
+In the original files (train.txt and test.txt), each row contains:
+- Meter ID and verse separated by a space
+- Verse consists of two parts separated by '#'
+
+Example: `1 يا ضيفَ طيفٍ ما هَداهُ لمَضجَعي # إلا لهيبٌ في الحشى يتوقّدُ`
+
+## Citation
+
+If you use this dataset, please cite:
+
+```
+@article{ALSHAIBANI2020106497,
+  title = {MetRec: A dataset for meter classification of arabic poetry},
+  journal = {Data in Brief},
+  volume = {33},
+  pages = {106497},
+  year = {2020},
+  doi = {https://doi.org/10.1016/j.dib.2020.106497},
+  author = {Maged S. Al-shaibani and Zaid Alyafeai and Irfan Ahmad},
+  keywords = {Arabic, meter, poetry, classification, prosody}
+}
+```
+
+## Source
+
+The original dataset was collected from the Aldiwan website. For more information, please refer to the original paper.

dataset_infos.yaml

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+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: meter_id
+    dtype: int64
+  - name: meter_name
+    dtype: string
+  - name: verse
+    dtype: string
+  - name: verse_part1
+    dtype: string
+  - name: verse_part2
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 6949029
+    num_examples: 47124
+  - name: test
+    num_bytes: 1255648
+    num_examples: 8316
+  download_size: 6429814
+  dataset_size: 8204677
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train-*.parquet
+  - split: test
+    path: test-*.parquet

test-00000-of-00001.parquet

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+oid sha256:904571607e57e530efea2bd3795804b9fc4c795b48b96c4720b1830ab0c95e3f
+size 1255648

train-00000-of-00001.parquet

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+oid sha256:e12a7d19c2eace5e75c5970872351211d5647f694afb58fef5b60210d181bd80
+size 6949029