| --- |
| language: |
| - ar |
| pretty_name: "SYRIA-GENSPEECH: Synthetic Syrian Arabic Speech Dataset" |
| homepage: https://huggingface.co/datasets/Overtech/SYRIA-GENSPEECH |
| license: cc-by-4.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-*.parquet |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: text |
| dtype: string |
| - name: audio |
| dtype: |
| audio: |
| sampling_rate: null |
| splits: |
| - name: train |
| num_examples: 3000 |
| --- |
| |
| # SYRIA-GENSPEECH |
| ### Synthetic Syrian Arabic Speech Dataset |
|
|
| **An open speech resource by Overtech** |
|
|
| SYRIA-GENSPEECH is a curated collection of **3,000 AI-generated Syrian Arabic speech recordings**, each paired with its corresponding Arabic transcript. |
|
|
| Developed and published by **Overtech**, this dataset contributes to the availability of accessible Syrian Arabic speech resources for research, experimentation, and the development of speech and language technologies. |
|
|
| The collection is designed as a general-purpose resource rather than a benchmark restricted to a particular task. Its recordings are synthetically generated and should not be interpreted as recordings of natural human speech. |
|
|
| --- |
|
|
| ## Dataset at a Glance |
|
|
| | Attribute | Details | |
| |---|---| |
| | **Dataset** | SYRIA-GENSPEECH | |
| | **Publisher** | Overtech | |
| | **Language** | Arabic | |
| | **Dialect** | Syrian Arabic | |
| | **Speech origin** | AI-generated / Synthetic | |
| | **Total recordings** | 3,000 | |
| | **Total audio duration** | 3 hours, 51 minutes, 18 seconds | |
| | **Audio format** | WAV | |
| | **Sampling rate** | 48,000 Hz | |
| | **Channels** | Mono | |
| | **Dataset size** | 1.69 GiB | |
| | **Data format** | Parquet with embedded audio | |
| | **Available split** | Train | |
| | **License** | CC BY 4.0 | |
| | **Access** | Public | |
|
|
| ## Overview |
|
|
| Syrian Arabic is a linguistically rich variety of spoken Arabic, with vocabulary, pronunciation patterns, and everyday expressions that are not always adequately represented in broadly available speech resources. |
|
|
| SYRIA-GENSPEECH was prepared to provide an additional source of paired Syrian Arabic text and synthetic speech, offering a structured collection that can be explored, processed, and incorporated into a variety of language-technology workflows. |
|
|
| The dataset emphasizes three principles: |
|
|
| **Accessibility.** Public availability in a standardized format, enabling researchers and developers to work with the collection without requiring a proprietary distribution process. |
|
|
| **Practical usability.** Direct alignment between each recording and its corresponding transcript, with self-contained audio storage and consistent metadata. |
|
|
| **Transparency.** Explicit disclosure of the synthetic origin of the recordings, their technical characteristics, and the limitations associated with generated speech. |
|
|
| ## Dataset Composition |
|
|
| The release contains **3,000 audio–text pairs** organized into a single `train` split. |
|
|
| Each entry consists of a unique identifier, a Syrian Arabic transcript, and its associated audio recording. |
|
|
| ### Feature Schema |
|
|
| | Field | Type | Description | |
| |---|---|---| |
| | `id` | String | Unique identifier assigned to the recording | |
| | `text` | String | Arabic transcript associated with the recording | |
| | `audio` | Audio | Corresponding WAV recording embedded within the dataset | |
|
|
| ### Distribution Format |
|
|
| The dataset is distributed through six self-contained Parquet shards: |
|
|
| ```text |
| SYRIA-GENSPEECH/ |
| ├── README.md |
| ├── LICENSE |
| └── data/ |
| ├── train-00000-of-00006.parquet |
| ├── train-00001-of-00006.parquet |
| ├── train-00002-of-00006.parquet |
| ├── train-00003-of-00006.parquet |
| ├── train-00004-of-00006.parquet |
| └── train-00005-of-00006.parquet |
| ``` |
|
|
| The filenames above illustrate the six-shard layout. |
|
|
| Audio content is embedded within the Parquet records using a Hugging Face-compatible audio feature. Separate WAV file downloads or absolute local file paths are not required. |
|
|
| ## Audio Specifications |
|
|
| The following statistics were calculated from the embedded audio headers during release preparation. |
|
|
| | Property | Value | |
| |---|---| |
| | Encoding/container | WAV | |
| | Sample rate | 48 kHz | |
| | Channel configuration | Mono | |
| | Shortest recording | 1.760 seconds | |
| | Longest recording | 8.320 seconds | |
| | Average recording | 4.626 seconds | |
| | Total duration | 03:51:18 | |
| | Total recordings | 3,000 | |
|
|
| These measurements describe the published audio collection and do not constitute an assessment of perceptual quality, pronunciation accuracy, or linguistic coverage. |
|
|
| ## Creation and Provenance |
|
|
| All speech recordings in SYRIA-GENSPEECH were generated synthetically using artificial intelligence and paired with their corresponding Syrian Arabic transcripts. |
|
|
| The release was prepared through a structured process of dataset organization, metadata preparation, packaging, and technical validation. |
|
|
| The published collection contains generated speech rather than a corpus of recorded human conversations. |
|
|
| No claim is made that the synthetic audio fully reproduces the pronunciation, prosody, emotional expressiveness, or natural variation of native Syrian Arabic speakers. |
|
|
| ## Intended Applications |
|
|
| SYRIA-GENSPEECH is provided as a flexible resource for exploration and development across speech and language technology. |
|
|
| Potential applications include: |
|
|
| - Automatic speech recognition research and experimentation |
| - Text-to-speech research and evaluation |
| - Speech–text alignment and multimodal processing |
| - Arabic dialect-focused language technology |
| - Speech representation and audio feature analysis |
| - Educational demonstrations and reproducible experiments |
| - Synthetic speech analysis and benchmarking |
|
|
| These are potential applications, not claims of demonstrated performance or suitability for every task. |
|
|
| The dataset provides paired speech and text. It does not include additional ground-truth labels for emotion, speaker identity, demographic attributes, or audio-event classes. |
|
|
| ## Responsible Use and Limitations |
|
|
| Users should consider the following characteristics when evaluating or applying this resource. |
|
|
| **Synthetic speech characteristics.** Generated recordings may contain acoustic artifacts, pronunciation inconsistencies, or unnatural timing and intonation. |
|
|
| **Dialect representation.** The dataset is identified as Syrian Arabic, but comprehensive representation of all Syrian regional dialects and local linguistic varieties has not been established. |
|
|
| **Speaker and demographic diversity.** The collection should not be assumed to represent the full diversity of natural speakers, ages, genders, or speaking styles. |
|
|
| **Evaluation suitability.** Synthetic recordings should not automatically be treated as a substitute for naturally recorded speech when evaluating real-world speech recognition or generation systems. |
|
|
| **Application-specific validation.** Users are responsible for assessing data quality, bias, licensing requirements, and suitability for their intended applications. |
|
|
| The collection is distributed as a research and development resource without guarantees of fitness for a particular purpose. |
|
|
| ## License |
|
|
| SYRIA-GENSPEECH is published under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**. |
|
|
| Under this license, users may share, redistribute, and adapt the licensed material, including for commercial purposes, provided that the applicable license conditions are satisfied. |
|
|
| These conditions include appropriate attribution, reference to the license, and identification of modifications where required. |
|
|
| Full license terms are available in the repository's `LICENSE` file and at: |
|
|
| https://creativecommons.org/licenses/by/4.0/ |
|
|
| **© 2026 Overtech. Rights and permissions apply to the extent recognized and held under applicable law.** |
|
|
| ## Attribution and Acknowledgment |
|
|
| ### Recognizing the Work Behind the Data |
|
|
| SYRIA-GENSPEECH represents an investment of time and effort in the creation, organization, preparation, validation, and publication of a publicly accessible Syrian Arabic speech resource. |
|
|
| By releasing this collection openly, **Overtech** aims to support researchers, developers, educators, and the wider speech technology community. |
|
|
| We value responsible reuse and respectfully encourage everyone building upon this resource to acknowledge its origin. |
|
|
| Attribution helps preserve the connection between derivative work and the original dataset, recognizes the effort involved in preparing the collection, and allows others to discover the source. |
|
|
| When sharing or adapting the licensed material, please follow the attribution conditions of CC BY 4.0. |
|
|
| **Preferred attribution** |
|
|
| > Overtech — SYRIA-GENSPEECH: Synthetic Syrian Arabic Speech Dataset |
| > https://huggingface.co/datasets/Overtech/SYRIA-GENSPEECH |
| > Licensed under CC BY 4.0 |
|
|
| ## Citation |
|
|
| If you use SYRIA-GENSPEECH in research, publications, software, demonstrations, or derivative datasets, please acknowledge the dataset using the following reference: |
|
|
| ```text |
| Overtech. (2026). |
| SYRIA-GENSPEECH: Synthetic Syrian Arabic Speech Dataset. |
| Hugging Face Datasets. |
| https://huggingface.co/datasets/Overtech/SYRIA-GENSPEECH |
| ``` |
|
|
| Where appropriate, include the dataset version or access date to identify the release used. |
|
|
| No DOI or associated academic publication is claimed for this release. |
|
|
| --- |
|
|
| **Published by Overtech · 2026** |
|
|
| *Supporting accessible resources for Syrian Arabic speech and language technology.* |
