abdo1819/arabic-english-code-switching-synthetic-asr

Synthetic Arabic-English Code-Switched Speech for ASR

This dataset contains synthetic speech generated for Egyptian Arabic-English code-switched automatic speech recognition. It is published separately from the human review annotations so the human audio remains in its upstream Hugging Face repository.

Configurations

The 3,944 author-created CC BY 4.0 rows remain identifiable through the license and source_type fields. Keeping one Parquet configuration avoids storing the same lossless audio twice.

Loading

from datasets import load_dataset

dataset = load_dataset("abdo1819/arabic-english-code-switching-synthetic-asr", "synthetic")

generated_only = dataset.filter(lambda row: row["license"] == "cc-by-4.0")

Data fields

• —audio: embedded lossless FLAC audio decoded by Hugging Face
• —text: ASR reference transcript
• —id: deterministic public identifier without a local path
• —language: ar-en
• —split: train or test
• —data_source and source_dataset: source identity
• —license and license_note: row-level license status
• —domain, text_source, source_type, prompt_file, text_generation_model, tts_model, and tts_language: generation provenance

Data creation

All 9,617 files contain mono 16-bit PCM audio synthesized at 24 kHz with gemini-2.5-pro-preview-tts, using the ar-EG language setting and prebuilt voices. They are distributed in lossless FLAC format to reduce transfer and storage size without changing the samples. The text has two origins:

• —5,673 cleaned Egyptian Arabic-English lines adapted from ArE-CSTD.
• —3,944 domain-oriented lines generated from structured prompts for engineering, finance, justice, and medicine; the recorded text-generation model is gemini-3.1-pro-preview.

The corpus contains approximately 14.69 hours. Filter license == "cc-by-4.0" to obtain the 3,944-row author-created subset without duplicating its audio in a second configuration.

Component licenses

This repository uses license: other because its components have different licenses. The license and license_note fields identify the terms for each row.

• —Prompt-generated rows: Abdelrahman R. Hashem releases the author-created prompts, generated text, and resulting synthetic audio under CC BY 4.0. Google's Gemini API terms state that Google does not claim ownership of generated content.
• —ArE-CSTD-derived rows: the ArE-CSTD card body states CC BY-NC-SA 4.0, although its Hugging Face metadata currently says CC BY-SA 4.0. This release follows the stricter card-body statement. Attribution and share-alike obligations apply, and commercial use is not permitted.

This section records provenance and risks; it is not legal advice.

Intended uses and limitations

• —Training or evaluating Arabic-English code-switched ASR.
• —Studying synthetic speech augmentation.
• —The synthetic test partition is not evidence of real-world human-speech robustness.
• —TTS voices do not represent real demographic, acoustic, or prosodic diversity.
• —TTS artifacts and prompt repetition can make results easier or more model-specific than human speech.

Companion human review annotations

Review decisions, correction deltas, and canonical split membership for the upstream human dataset are prepared as a separate metadata-only repository:

`abdo1819/arabic-english-code-switching-review-annotations`

That package contains no human audio and joins to the pinned upstream dataset by row index.

Citation

@dataset{hashem2026syntheticcodeswitchasr,
  author    = {Hashem, Abdelrahman R.},
  title     = {Synthetic Arabic-English Code-Switched Speech for ASR},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/abdo1819/arabic-english-code-switching-synthetic-asr}
}

Please also cite ArE-CSTD when using the synthetic configuration.

Contact

Abdelrahman R. Hashem — arh13@fayoum.edu.eg