
# 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': 'היא מבינה אותי יותר מכל אחד אחר'}
```

### 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 כאן) 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]
task_categories:automatic-speech-recognition size_categories:1K<n<10K language:he region:us
{"language": ["he"], "size_categories": ["1K<n<10K"], "task_categories": ["automatic-speech-recognition"], "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}}
TAGS
#task_categories-automatic-speech-recognition #size_categories-1K<n<10K #language-Hebrew #region-us 

Dataset Card for Dataset Name
=============================


Dataset Description
-------------------


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


### Dataset Summary


Hebrew Dataset for ASR


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


### Data Fields


### Data Splits


train: number of samples, validation: 8000
train: hours, validation: 6.92


Dataset Creation
----------------


### Curation Rationale


scraped data from youtube (channel כאן) 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?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions



### Dataset Summary


Hebrew Dataset for ASR ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances ### Data Fields ### Data Splits


train: number of samples, validation: 8000
train: hours, validation: 6.92


Dataset Creation
---------------- ### Curation Rationale


scraped data from youtube (channel כאן) 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? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-automatic-speech-recognition #size_categories-1K<n<10K #language-Hebrew #region-us 
 ### Dataset Summary


Hebrew Dataset for ASR ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances ### Data Fields ### Data Splits


train: number of samples, validation: 8000
train: hours, validation: 6.92


Dataset Creation
---------------- ### Curation Rationale


scraped data from youtube (channel כאן) 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? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions