File size: 4,039 Bytes
1d1422b
c1037c7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1d1422b
c1037c7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bf20dd2
c1037c7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license:
- apache-2.0
annotations_creators:
- no-annotation
language_creators:
- found
language:
- kk
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
pretty_name: MKD | Multi-Domain Kazakh Dataset
---

# Dataset Description

**Point of Contact:** [Sanzhar Murzakhmetov](mailto:[email protected]), [Besultan Sagyndyk](mailto:[email protected])

### Dataset Summary

MKD | Multi-Domain Kazakh Dataset is a Kazakh-language dataset containing just over 21 911 503 unique texts from multiple domains.

### Supported Tasks

- 'MLM/CLM': can be used to train a model for casual and masked languange modeling

### Languages

The kk code for Kazakh as generally spoken in the Kazakhstan 

### Data Instances

For each instance, there is a string for the text and a string for the id. 

```python
{'id': '0054d6d30dbcad772e20b22771153a2a9cbeaf62',
 'text': '«Челсидің» бапкері Жозе Моуриньо қызметінен кетті Лондондықтар Жозе Муриньюмен қош айтысты. Себеп көп. Англия чемпиондары маусымды өте сүреңсіз бастады. Ұпайды оңды солды шашқан ақсүйектер турнир кестесінің төменгі сатысында қалып қойды.'
```

### Data Fields

- `id`: a string which is hexidecimal hash for text in split
- `text`: a string containing the content body
  
### Data Splits

The Multi-Domain Kazakh dataset has 5 splits: _cc100-monolingual-crawled-data_, _kazakhBooks_, _leipzig_, _oscar_ and _kazakhNews_. Below are the statistics of the dataset:

| Dataset Split                  |       Domain         |   Number of texts in Split   | Number of tokens in Split | Number of unique tokens in Split | Median number of tokens in text |
| -------------------------------|----------------------|------------------------------| --------------------------|----------------------------------|---------------------------------|
| cc100-monolingual-crawled-data | Wikipedia articles   |         19 569 201           |        440 737 547        |            6 071 847             |               12                |
| kazakhBooks                    | Books                |              4 481           |        179 627 716        |            4 649 820             |           38 443                |
| leipzig                        | Articles/News        |          1 734 397           |         27 013 206        |            1 115 876             |               14                |
| oscar                          | CommonCrawl          |            269 965           |        229 713 848        |            3 781 885             |              427                |
| kazakhNews                     | News                 |            333 459           |         87 606 307        |            1 255 834             |              177                |

With overall stats:

| Stat                    | Value        |
|-------------------------|--------------|
| Number of texts         |  21 911 503  |
| Number of tokens        | 966 795 903  |
| Number of unique tokens |  11 674 839  |

Full dataset takes **21GB**

### Annotations

The dataset does not contain any additional annotations.

### Personal and Sensitive Information

Datset is not anonymized, so individuals' names can be found in the dataset. Information about the original author is not included in the dataset.

### Social Impact of Dataset

The purpose of this dataset is to organize open-source datasets on the Kazakh language for further research and commercial uses

### Licensing Information

The Multi-Domain Kazakh dataset version 1.0.0 is released under the [Apache-2.0 License](http://www.apache.org/licenses/LICENSE-2.0). 


### Contributions

Thanks to [@KindYAK](https://github.com/KindYAK), [@BeksultanSagyndyk](https://github.com/BeksultanSagyndyk), [@SanzharMrz](https://github.com/SanzharMrz) for adding this dataset.
---