File size: 3,376 Bytes
7d3daf2 d114f47 16b44f0 250a8b0 f54b410 c05cf74 f54b410 c05cf74 |
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 |
---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
language:
- ar
tags:
- arabic
- egypt
- egyptian
- ASR
- automatic speech recognition
pretty_name: 'Egyptian Arabic dialect automatic speech recognition '
size_categories:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
---
# Egyptian Arabic dialect automatic speech recognition
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset was collected, cleaned and adjusted for huggingface hub and ready to be used for whisper finetunning/training.
[From MGB-3 website](http://www.mgb-challenge.org/MGB-3.html):
*The MGB-3 is using 16 hours multi-genre data collected from different YouTube channels. The 16 hours have been manually transcribed.
The chosen Arabic dialect for this year is Egyptian.
Given that dialectal Arabic has no orthographic rules, each program has been transcribed by four different transcribers using this transcription guidelines.*
### Supported Tasks and Leaderboards
ASR: automatic speech recognition
### Languages
Arabic - Egyptian dialect
### Data Fields
* audio: sampled in 16000HZ and have a max duration of 30 sec (ideal for whispear and others ASR models)
* sentence: the transcription in Egyptian Arabic
## Dataset Creation
The youtube videos that are still avalible (some of them got deleted/ made private) were downloaded and synced with the provided transcription.
Then the 12 min of each youtube video were cut down into 30 sec segments.
the resulting dataset was uploaded to huggingface.
[From MGB-3 website](http://www.mgb-challenge.org/MGB-3.html):
*Egyptian broadcast data collected from YouTube.This year, we collected about 80 programs from different YouTube channels. The first 12 minutes from each program has been transcribed and released. This sums up to roughly 16 hours in total*
### Source Data
* [http://www.mgb-challenge.org/MGB-3.html](MGB challenge website)
* [Youtube.com](youtube)
#### Initial Data Collection and Normalization
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
#### Who are the source language producers?
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Annotations
#### Annotation process
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
#### Who are the annotators?
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Personal and Sensitive Information
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Social Impact of Dataset
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Discussion of Biases
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Other Known Limitations
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
## Additional Information
### Dataset Curators
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Licensing Information
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html):
### Citation Information
[Available on MGB website ](http://www.mgb-challenge.org/MGB-3.html)
[Speech Recognition Challenge in the Wild: Arabic MGB-3](https://arxiv.org/abs/1709.07276)
### Contributions |