File size: 4,042 Bytes
dedba3d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a737111
dedba3d
 
 
 
 
 
 
 
 
 
 
a737111
dedba3d
 
 
 
 
a737111
 
 
 
 
 
 
 
 
dedba3d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
---
license: cc-by-nc-sa-4.0
language:
- sr
pretty_name: Sr Tokenizer test
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - '*_train.jsonl'
  - split: test
    path:
    - '*_test.jsonl'
---

<!--img src="cover.png" class="cover"-->

# Sr Tokenizer test
This dataset provides a large Serbian text corpus designed for training and evaluating of tokenizers for Serbian language models. 
It combines multiple sources of Serbian text in both Cyrillic and Latin scripts, unified into a consistent JSONL format with id and text fields.

## Dataset Structure
Metadata has been stripped; Each record is a JSON object with:

- id: unique identifier
- text: raw Serbian text

## Source coprora

- [Znanje(sr) corpus](https://huggingface.co/datasets/procesaur/znanje): ~6.6 GB with 700 million words  
- [WikiViki(sr) corpus](https://huggingface.co/datasets/procesaur/WikiViki): ~1.5 GB with 135 million words
- [PDRS web corpus](http://hdl.handle.net/11356/1752): ~3.2 GB with 500 million words

total 11.3 GB with 1.3 billion words

#### Splits:
- train.jsonl (75%)
- test.jsonl (25%)

```python
from datasets import load_dataset
dataset = load_dataset("procesaur/sr-tokenizer-test", split="train")
```

<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:50px">
  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
    <a href="https://huggingface.co/procesaur">  
      <div class="flex">
          <div
  			style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; 
            background-size: cover; background-image: url(&#39;https://cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face&#39;)">
          </div>
      </div>
    </a>
    <div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
    <div>  
      <a href="https://huggingface.co/procesaur">
      	<div style="text-align: center; font-size: 14px;">@procesaur</div>
      </a>
    </div>
  </div>
</div>

  
Citation:

```bibtex
soon
```


	
<!--table style="width:100%;height:100%">
ISLRN: 476-040-938-571-9
  <tr style="width:100%;height:100%">
    <td width=50%>
       <p>Istraživanje je sprovedeno uz podršku Fonda za nauku Republike Srbije, #7276, Text Embeddings – Serbian Language Applications – TESLA.</p>
    </td>
    <td>
      <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA.</p>
    </td>
  </tr>
</table-->

<div id="zastava">
  <div class="grb">
    <img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px">
  </div>
  <table width=100% style="border:0px">
    <tr style="background-color:#C6363C;width:100%;border:0px;height:30px"><td style="width:100vw"></td></tr>
    <tr style="background-color:#0C4076;width:100%;border:0px;height:30px"><td></td></tr>
    <tr style="background-color:#ffffff;width:100%;border:0px;height:30px"><td></td></tr>
  </table>
</div>

<style>
  .ffeat: {
  color:red
  }
  
  .cover {
    width: 100%;
    margin-bottom: 5pt
  }
  
.highlight-container, .highlight {
  position: relative;
  text-decoration:none
}

.highlight-container {
  display: inline-block;
  
}

.highlight{
  color:white;
  text-transform:uppercase;
  font-size: 16pt;
}

  .highlight-container{
    padding:5px 10px
  }

.highlight-container:before {
  content: " ";
  display: block;
  height: 100%;
  width: 100%;
  margin-left: 0px;
  margin-right: 0px;
  position: absolute;
  background: #e80909;
  transform: rotate(2deg);
  top: -1px;
  left: -1px;
  border-radius: 20% 25% 20% 24%;
  padding: 10px 18px 18px 10px;
}

div.grb, #zastava>table {
  position:absolute;
  top:0px;
  left: 0px;
  margin:0px
}

  div.grb>img, #zastava>table{
    margin:0px
  }
  
#zastava {
  position: relative;
  margin-bottom:120px
}

  p {
    font-size:14pt
  }
</style>