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

Configuration	Train	Test	Publication status
synthetic	8,655	962	Contains 5,673 ArE-CSTD-derived texts; noncommercial/share-alike terms apply

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