File size: 1,888 Bytes
0d84d84
f2d92ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0d84d84
f2d92ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
---

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}

}

```