Datasets:
Salama1429
commited on
Commit
•
5dcc941
1
Parent(s):
c16a343
Upload README.md
Browse files
README.md
ADDED
@@ -0,0 +1,205 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
pretty_name: Tarteel AI - EveryAyah Dataset
|
3 |
+
dataset_info:
|
4 |
+
features:
|
5 |
+
- name: audio
|
6 |
+
dtype: audio
|
7 |
+
- name: duration
|
8 |
+
dtype: float64
|
9 |
+
- name: text
|
10 |
+
dtype: string
|
11 |
+
- name: reciter
|
12 |
+
dtype: string
|
13 |
+
splits:
|
14 |
+
- name: train
|
15 |
+
num_bytes: 262627688145.3
|
16 |
+
num_examples: 187785
|
17 |
+
- name: test
|
18 |
+
num_bytes: 25156009734.72
|
19 |
+
num_examples: 23473
|
20 |
+
- name: validation
|
21 |
+
num_bytes: 23426886730.218
|
22 |
+
num_examples: 23474
|
23 |
+
download_size: 117190597305
|
24 |
+
dataset_size: 311210584610.23804
|
25 |
+
annotations_creators:
|
26 |
+
- expert-generated
|
27 |
+
language_creators:
|
28 |
+
- crowdsourced
|
29 |
+
language:
|
30 |
+
- ar
|
31 |
+
license:
|
32 |
+
- mit
|
33 |
+
multilinguality:
|
34 |
+
- monolingual
|
35 |
+
paperswithcode_id: tarteel-everyayah
|
36 |
+
size_categories:
|
37 |
+
- 100K<n<1M
|
38 |
+
source_datasets:
|
39 |
+
- original
|
40 |
+
task_categories:
|
41 |
+
- automatic-speech-recognition
|
42 |
+
task_ids: []
|
43 |
+
train-eval-index:
|
44 |
+
- config: clean
|
45 |
+
task: automatic-speech-recognition
|
46 |
+
task_id: speech_recognition
|
47 |
+
splits:
|
48 |
+
train_split: train
|
49 |
+
eval_split: test
|
50 |
+
validation_split: validation
|
51 |
+
col_mapping:
|
52 |
+
audio: audio
|
53 |
+
text: text
|
54 |
+
reciter: text
|
55 |
+
metrics:
|
56 |
+
- type: wer
|
57 |
+
name: WER
|
58 |
+
- type: cer
|
59 |
+
name: CER
|
60 |
+
---
|
61 |
+
|
62 |
+
﷽
|
63 |
+
|
64 |
+
# Dataset Card for Tarteel AI's EveryAyah Dataset
|
65 |
+
|
66 |
+
## Table of Contents
|
67 |
+
- [Dataset Description](#dataset-description)
|
68 |
+
- [Dataset Summary](#dataset-summary)
|
69 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
70 |
+
- [Languages](#languages)
|
71 |
+
- [Dataset Structure](#dataset-structure)
|
72 |
+
- [Data Instances](#data-instances)
|
73 |
+
- [Data Fields](#data-fields)
|
74 |
+
- [Data Splits](#data-splits)
|
75 |
+
- [Dataset Creation](#dataset-creation)
|
76 |
+
- [Curation Rationale](#curation-rationale)
|
77 |
+
- [Source Data](#source-data)
|
78 |
+
- [Annotations](#annotations)
|
79 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
80 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
81 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
82 |
+
- [Discussion of Biases](#discussion-of-biases)
|
83 |
+
- [Other Known Limitations](#other-known-limitations)
|
84 |
+
- [Additional Information](#additional-information)
|
85 |
+
- [Dataset Curators](#dataset-curators)
|
86 |
+
- [Licensing Information](#licensing-information)
|
87 |
+
- [Citation Information](#citation-information)
|
88 |
+
- [Contributions](#contributions)
|
89 |
+
|
90 |
+
## Dataset Description
|
91 |
+
|
92 |
+
- **Homepage:** [Tarteel AI](https://www.tarteel.ai/)
|
93 |
+
- **Repository:** [Needs More Information]
|
94 |
+
- **Point of Contact:** [Mohamed Saad Ibn Seddik](mailto:ms.ibnseddik@tarteel.ai)
|
95 |
+
|
96 |
+
### Dataset Summary
|
97 |
+
|
98 |
+
This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.
|
99 |
+
|
100 |
+
### Supported Tasks and Leaderboards
|
101 |
+
|
102 |
+
[Needs More Information]
|
103 |
+
|
104 |
+
### Languages
|
105 |
+
|
106 |
+
The audio is in Arabic.
|
107 |
+
|
108 |
+
## Dataset Structure
|
109 |
+
|
110 |
+
### Data Instances
|
111 |
+
|
112 |
+
A typical data point comprises the audio file `audio`, and its transcription called `text`.
|
113 |
+
The `duration` is in seconds, and the author is `reciter`.
|
114 |
+
|
115 |
+
An example from the dataset is:
|
116 |
+
```
|
117 |
+
{
|
118 |
+
'audio': {
|
119 |
+
'path': None,
|
120 |
+
'array': array([ 0. , 0. , 0. , ..., -0.00057983,
|
121 |
+
-0.00085449, -0.00061035]),
|
122 |
+
'sampling_rate': 16000
|
123 |
+
},
|
124 |
+
'duration': 6.478375,
|
125 |
+
'text': 'بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ',
|
126 |
+
'reciter': 'abdulsamad'
|
127 |
+
}
|
128 |
+
```
|
129 |
+
|
130 |
+
### Data Fields
|
131 |
+
|
132 |
+
- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
|
133 |
+
|
134 |
+
- text: The transcription of the audio file.
|
135 |
+
|
136 |
+
- duration: The duration of the audio file.
|
137 |
+
|
138 |
+
- reciter: The reciter of the verses.
|
139 |
+
|
140 |
+
### Data Splits
|
141 |
+
|
142 |
+
| | Train | Test | Validation |
|
143 |
+
| ----- | ----- | ---- | ---------- |
|
144 |
+
| dataset | 187785 | 23473 | 23474 |
|
145 |
+
|
146 |
+
|
147 |
+
|
148 |
+
## Dataset Creation
|
149 |
+
|
150 |
+
### Curation Rationale
|
151 |
+
|
152 |
+
|
153 |
+
### Source Data
|
154 |
+
|
155 |
+
#### Initial Data Collection and Normalization
|
156 |
+
|
157 |
+
|
158 |
+
#### Who are the source language producers?
|
159 |
+
|
160 |
+
|
161 |
+
### Annotations
|
162 |
+
|
163 |
+
#### Annotation process
|
164 |
+
|
165 |
+
|
166 |
+
#### Who are the annotators?
|
167 |
+
|
168 |
+
|
169 |
+
|
170 |
+
### Personal and Sensitive Information
|
171 |
+
|
172 |
+
|
173 |
+
|
174 |
+
## Considerations for Using the Data
|
175 |
+
|
176 |
+
### Social Impact of Dataset
|
177 |
+
|
178 |
+
[More Information Needed]
|
179 |
+
|
180 |
+
### Discussion of Biases
|
181 |
+
|
182 |
+
[More Information Needed]
|
183 |
+
|
184 |
+
### Other Known Limitations
|
185 |
+
|
186 |
+
[Needs More Information]
|
187 |
+
|
188 |
+
## Additional Information
|
189 |
+
|
190 |
+
### Dataset Curators
|
191 |
+
|
192 |
+
|
193 |
+
|
194 |
+
### Licensing Information
|
195 |
+
|
196 |
+
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
|
197 |
+
|
198 |
+
### Citation Information
|
199 |
+
|
200 |
+
```
|
201 |
+
```
|
202 |
+
|
203 |
+
### Contributions
|
204 |
+
|
205 |
+
This dataset was created by:
|