metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription_darija_ar
dtype: string
- name: transcription_darija_ltn
dtype: string
- name: intent
dtype: string
- name: sentiment
dtype: string
- name: gender_label
dtype: string
- name: lead_time
dtype: float64
- name: sample_rate
dtype: int64
- name: split
dtype: string
- name: duration
dtype: float64
splits:
- name: train
num_bytes: 16650545
num_examples: 120
download_size: 15088227
dataset_size: 16650545
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Overview
This dataset is a cleaned version of the Dvoice-v2 test set, curated and enhanced for easier use in speech and language processing tasks. The original dataset contains many errors, with audios not matching their transcripts.
This dataset has been manually annotated by Abdelaziz Bounhar, with the following additional labels:
- Arabizi transcription: Transcription in latin scripts.
- Gender: Classification of speaker's gender.
- Sentiment: Sentiment label of the speaker's statement.
- Intent: The intent behind the speaker's statement, helping to better understand the context.
Code switching (in the arabic transcription) was added when necessary.
This dataset is ready for use in tasks such as speech emotion recognition, speaker profiling, and intent classification, making it a versatile resource evaluating machine learning models.