Add Serbian Lyric Poetry Classification dataset (train/test split 6:4)

README.md

@@ -1,3 +1,69 @@
 ---
-license: cc-by-4.0
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: text
+      dtype: string
+    - name: labels
+      dtype: list
+  splits:
+    - name: train
+      num_bytes: 483454
+      num_examples: 680
+    - name: test
+      num_bytes: 334367
+      num_examples: 454
+  download_size: 1139139
+  dataset_size: 817821
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train-*.parquet
+      - split: test
+        path: test-*.parquet
 ---
+
+# Serbian Lyric Poetry Classification
+
+This dataset contains Serbian lyric poetry with multi-label classification. Each poem can have multiple labels.
+
+## Dataset Information
+
+The dataset is split into train (60%) and test (40%) sets with stratified sampling based on the primary label (first label) to ensure balanced distribution.
+
+## Data Format
+
+The dataset is stored in Parquet format with the following fields:
+
+- `id`: Unique identifier
+- `text`: Poem text
+- `labels`: List of labels (multi-label format)
+
+## Labels
+
+The dataset contains the following labels:
+- Ljubavna poezija (Love poetry)
+- Misaono - refleksivna poezija (Reflective poetry)
+- Rodoljubiva poezija (Patriotic poetry)
+
+A poem can have multiple labels (multi-label classification).
+
+## Citation
+
+If you use this dataset, please cite the following paper:
+
+```
+@INPROCEEDINGS{10819147,
+  author={Kadić, Vasilije and Milanović, Sara and Batanović, Vuk},
+  booktitle={2024 32nd Telecommunications Forum (TELFOR)}, 
+  title={Classification of Lyric Poetry Written in Serbian}, 
+  year={2024},
+  volume={},
+  number={},
+  pages={1-4},
+  keywords={Large language models;Machine learning;Natural language processing;Distance measurement;Telecommunications;lyric poetry;text classification;natural language processing},
+  doi={10.1109/TELFOR63250.2024.10819147}
+}
+```

dataset_infos.yaml

@@ -0,0 +1,24 @@
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: labels
+    dtype: list
+  splits:
+  - name: train
+    num_bytes: 483454
+    num_examples: 680
+  - name: test
+    num_bytes: 334367
+    num_examples: 454
+  download_size: 1139139
+  dataset_size: 817821
+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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+size 334367

train-00000-of-00001.parquet

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