Persian Speech to Test dataset

The Persian Speech to Text dataset is a collection of audio files and their corresponding transcripts, provided in CSV file format. The dataset is intended for use in training machine learning models for the task of transcribing audio files in the Persian language into text. The dataset includes 60GB of data, consisting of audio files in the WAV format and their transcripts. Each CSV file corresponds to a single ZIP or RAR file, and the name of each CSV file is the same as the corresponding ZIP or RAR file. The CSV files contain the following columns: wav_filename: The name of the WAV file within the ZIP or RAR file. wav_filesize: The size of each audio file. transcript: The text transcription of the audio file. confidence_level: A measure of the accuracy of the transcription. This dataset is the largest open source dataset of its kind, and it is a valuable resource for researchers and developers working on natural language processing tasks involving the Persian language. The open source nature of the dataset means that it is freely available to be used and modified by anyone, making it an important resource for advancing research and development in the field.

波斯语语音转文本（Speech to Text）数据集是音频文件及其对应转录文本的集合，以CSV文件格式提供。本数据集专为训练机器学习模型、完成波斯语音频文件的文本转录任务而设计。该数据集包含60GB数据，由WAV格式音频文件及其转录文本组成。每个CSV文件对应一个独立的ZIP或RAR压缩包，且文件名与对应的压缩包完全一致。CSV文件包含以下字段：wav_filename：压缩包内WAV音频文件的名称；wav_filesize：单条音频文件的大小；transcript：音频文件的文本转录结果；confidence_level：用于衡量转录文本准确率的评估指标。本数据集是同类规模最大的开源数据集，对于开展波斯语相关自然语言处理（Natural Language Processing）任务的研究人员与开发者而言是宝贵的资源。该数据集的开源属性允许任何人免费使用与修改，为该领域的研究与开发进步提供了重要支撑。