Datasets:

Modalities:
Tabular
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 2,630 Bytes
fd29ea6
4ce27ca
fd29ea6
 
 
 
 
4ce27ca
 
 
 
 
 
fd29ea6
4ce27ca
fd29ea6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4ce27ca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fd29ea6
27357b3
fd29ea6
27357b3
 
 
4bb68f4
 
 
 
 
27357b3
13db280
 
27357b3
 
 
 
 
13db280
27357b3
 
 
 
 
 
 
 
 
c1d4a5b
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
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
---
license: odc-by
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
- config_name: few-shot-split
  data_files:
  - split: train
    path: few-shot-split/train-*
  - split: test
    path: few-shot-split/test-*
dataset_info:
- config_name: default
  features:
  - name: url
    dtype: string
  - name: headline
    dtype: string
  - name: brief
    dtype: string
  - name: keywords
    sequence: string
  - name: category
    dtype: int64
  - name: content
    dtype: string
  - name: category_unclean
    dtype: string
  splits:
  - name: test
    num_bytes: 3898211
    num_examples: 1000
  download_size: 2670339
  dataset_size: 3898211
- config_name: few-shot-split
  features:
  - name: url
    dtype: string
  - name: authors
    sequence: string
  - name: headline
    dtype: string
  - name: brief
    dtype: string
  - name: keywords
    sequence: string
  - name: category
    dtype: int64
  - name: content
    dtype: string
  - name: comments_num
    dtype: float64
  - name: server
    dtype: int64
  - name: category_unclean
    dtype: string
  - name: authors_gender
    sequence: int64
  - name: authors_cum_gender
    dtype: int64
  - name: day_of_week
    dtype: int64
  - name: date
    dtype: timestamp[us]
  - name: __index_level_0__
    dtype: int64
  - name: __index_level_1__
    dtype: int64
  splits:
  - name: train
    num_bytes: 92198
    num_examples: 20
  - name: test
    num_bytes: 3887952
    num_examples: 980
  download_size: 2719237
  dataset_size: 3980150
---
# Simplified Czech News dataset

This is a simplified and subsampled test subset from the original [czech_news_dataset_v2](https://huggingface.co/datasets/hynky/czech_news_dataset_v2).

Only 5 basic news categories are considered:
1. Zahraniční (Foreign)
2. Domácí (Local)
3. Sport (Sport)
4. Kultura (Culture)
5. Ekonomika (Economy)

The test set includes 200 examples per category, 1000 examples in total. 
Apart from the category label, each example also contains the article's headline, brief summary, full textual content, optional keywords, original category specification, and URL.

This dataset was created for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework. 

## Citation

```bibtex
@misc{kydlíček2023datasetstrongbaselinesclassification,
      title={A Dataset and Strong Baselines for Classification of Czech News Texts}, 
      author={Hynek Kydlíček and Jindřich Libovický},
      year={2023},
      eprint={2307.10666},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2307.10666}, 
}
```