metadata
configs:
- config_name: default
data_files:
- split: train
path:
- data/recitation_0/train/*.parquet
- data/recitation_1/train/*.parquet
- data/recitation_2/train/*.parquet
- data/recitation_3/train/*.parquet
- data/recitation_5/train/*.parquet
- data/recitation_6/train/*.parquet
- data/recitation_7/train/*.parquet
- split: validation
path:
- data/recitation_0/validation/*.parquet
- data/recitation_1/validation/*.parquet
- data/recitation_2/validation/*.parquet
- data/recitation_3/validation/*.parquet
- data/recitation_5/validation/*.parquet
- data/recitation_6/validation/*.parquet
- data/recitation_7/validation/*.parquet
- split: test
path:
- data/recitation_8/train/*.parquet
- data/recitation_8/validation/*.parquet
dataset_info:
splits:
- name: train
num_examples: 54823
- name: test
num_examples: 8787
- name: validation
num_examples: 7175
featrues:
- dtype: string
name: aya_name
- dtype: string
name: aya_id
- dtype: string
name: reciter_name
- dtype: int32
name: recitation_id
- dtype: string
name: url
- dtype:
audio:
decode: false
sampling_rate: 16000
name: audio
- dtype: float32
name: duration
- dtype: float32
name: speed
- dtype:
array2_d:
dtype: float32
shape:
- null
- 2
name: speech_intervals
- dtype: bool
name: is_interval_complete
- dtype: bool
name: is_augmented
- dtype:
array2_d:
dtype: float32
shape:
- null
- 2
name: input_features
- dtype:
array2_d:
dtype: int32
shape:
- null
- 1
name: attention_mask
- dtype:
array2_d:
dtype: int32
shape:
- null
- 1
name: labels
Recitation Segmentations Dataset
This an modfied version of this dataset with these modifications:
- adding augmentation to the speed of the recitations utterance with column
speedreflects the speed from 0.8 to 1.5 on 40% of the dataset using audumentations. - adding data augmentation with audiomentations on 40% of the dataset to prepare it for training the recitations spliter.
The codes for building this dataset is available at github