MohammadGholizadeh/fleurs-farsi

FLEURS Farsi (fa_ir) - Processed Dataset

Dataset Description

This dataset contains the Farsi (Persian, fa_ir) portion of the FLEURS (Few-shot Learning Evaluation of Universal Representations of Speech) dataset, processed into a Hugging Face datasets compatible format. FLEURS is a many-language speech dataset created by Google, designed for evaluating speech recognition systems, particularly in low-resource scenarios.

This version includes audio recordings and their corresponding transcriptions, split into train, development (dev), and test sets. The audio is sampled at 16kHz.

Languages: Farsi (Persian) - fa

How to Use

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset_name = "msghol/fleurs-farsi" # Updated repository name
fleurs_farsi = load_dataset(dataset_name)

# Accessing a split
print(fleurs_farsi["train"])

# Accessing an example
example = fleurs_farsi["train"][0]
audio_sample = example["audio"]
transcription = example["transcription"]

print(f"Audio: {audio_sample}")
print(f"Transcription: {transcription}")