File size: 2,540 Bytes
12ee25b
 
 
 
 
2ba30c0
 
8eb872b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12ee25b
 
0a893c0
 
 
 
 
 
 
 
 
 
 
 
ea56c5e
0a893c0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e0e3988
 
0a893c0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2ba30c0
0a893c0
 
 
 
 
 
2ba30c0
0a893c0
 
 
 
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
---
task_categories:
- automatic-speech-recognition
language:
- he
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  splits:
  - name: train
    num_bytes: 1569850175.0
    num_examples: 8000
  - name: validation
    num_bytes: 394275049.0
    num_examples: 2000
  download_size: 1989406585
  dataset_size: 1964125224.0
---

# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

Hebrew Dataset for ASR

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

```json
{'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/8ce7402f6482c6053251d7f3000eec88668c994beb48b7ca7352e77ef810a0b6/train/e429593fede945c185897e378a5839f4198.wav',
  'array': array([-0.00265503, -0.0018158 , -0.00149536, ..., -0.00135803,
         -0.00231934, -0.00190735]),
  'sampling_rate': 16000},
 'sentence': 'ื”ื™ื ืžื‘ื™ื ื” ืื•ืชื™ ื™ื•ืชืจ ืžื›ืœ ืื—ื“ ืื—ืจ'}
```

### Data Fields

[More Information Needed]

### Data Splits

|      | train | validation |
| ---- | ----- | ---------- |
| number of samples | 8000  | 2000       |
| hours | 6.92  | 1.73       |

## Dataset Creation

### Curation Rationale

scraped data from youtube (channel ื›ืืŸ) with removing outliers (by length and ratio between length of the audio and sentences)

### Source Data

#### Initial Data Collection and Normalization


#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@misc{imvladikon2022hebrew_speech_kan,
  author = {Gurevich, Vladimir},
  title = {Hebrew Speech Recognition Dataset: Kan},
  year = {2022},
  howpublished = \url{https://huggingface.co/datasets/imvladikon/hebrew_speech_kan},
}
```

### Contributions

[More Information Needed]