This dataset is a modified version of the CoVoST corpus, converted into parquet format to facilitate optimized I/O operations in high-performance and distributed computing environments. The CoVoST dataset is widely used in multilingual speech-to-text translation, containing over 2,800 hours of audio in 21 languages. This reformatted version retains the diverse multilingual and speaker attributes of CoVoST, with enhancements tailored for efficient data handling and training in large-scale machine learning workflows.

Source Data

Original Dataset: CoVoST
License: This derived dataset is shared under the same license, with modifications only to format for efficiency.

Modifications

Data Format: Converted to parquet format to enhance I/O performance for distributed training, reducing latency during data loading and retrieval.
Efficiency Optimization: Restructured for reduced storage footprint and faster I/O on high-performance clusters by leveraging parquet’s efficient compression and columnar storage.

Dataset Structure

File Format: Parquet files.
Languages: 21 languages retained from the original CoVoST dataset.
Audio Sampling Rate: Matches original dataset specifications for high-fidelity speech data.
Multilingual Speaker Representation: Over 2,800 hours across multiple languages, preserving CoVoST’s speaker diversity and multilingual alignment.

Usage

This dataset is ideal for use in large-scale multilingual speech-to-text translation tasks, especially in distributed and high-performance computing environments. The parquet format enhances usability by minimizing I/O overhead, making it well-suited for high-throughput training.

Attribution

This dataset is based on the original CoVoST dataset, with modifications for I/O optimization by converting to parquet format. Please cite the original CoVoST dataset in any publications or projects using this dataset.

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