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

README.md

@@ -1,69 +1,69 @@
----
-dataset_info:
-  features:
-    - name: id
-      dtype: string
-    - name: text
-      dtype: string
-    - name: labels
-      dtype: string
-  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_info:
+  features:
+    - name: id
+      dtype: string
+    - name: text
+      dtype: string
+    - name: labels
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 469864
+      num_examples: 680
+    - name: test
+      num_bytes: 346867
+      num_examples: 454
+  download_size: 1139139
+  dataset_size: 816731
+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

@@ -1,24 +1,24 @@
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: labels
-    dtype: string
-  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
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: labels
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 469864
+    num_examples: 680
+  - name: test
+    num_bytes: 346867
+    num_examples: 454
+  download_size: 1139139
+  dataset_size: 816731
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train-*.parquet
+  - split: test
+    path: test-*.parquet

test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
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+size 346867

train-00000-of-00001.parquet

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+size 469864