| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - ar |
| - en |
| task_categories: |
| - automatic-speech-recognition |
| pretty_name: Clean One-Speaker STT (AR dialectal + MSA + EN) |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Clean_One_Speaker_STT_Split_EN_AR |
|
|
| Mixed STT dataset — Saudi dialectal Arabic + Modern Standard Arabic + English — |
| with train/validation/test splits, built for fine-tuning multilingual ASR (e.g. Whisper) |
| without catastrophic forgetting of English. |
|
|
| ## Composition |
|
|
| - **Dialectal Arabic (~72%)** — [Sebssihakim/Clean_One_Speaker_SADA_Split](https://huggingface.co/datasets/Sebssihakim/Clean_One_Speaker_SADA_Split) |
| (cleaned single-speaker SADA; SDAIA / Saudi Broadcasting Authority, CC BY-NC-SA 4.0) |
| - **MSA (~8%)** — FLEURS `ar_eg`, full official splits (CC-BY; read MSA), plus the |
| MSA rows already present in SADA |
| - **English (~17%)** — LibriSpeech clean (CC-BY), sampled from its official splits |
| (train.100 / validation / test); transcripts lowercased |
|
|
| ## Columns |
|
|
| `audio` (16 kHz), `text`, `language` (`ar`/`en`), `dialect` |
| (SADA dialect name, `ModernStandardArabic`, or `English`) |
|
|
| ## Split methodology |
|
|
| SADA partitions reused as-is (stratified by dialect, seed 42, Maghrebi removed). |
| FLEURS and LibriSpeech samples come from their **own** official splits (seed 42), |
| so no cross-split leakage is possible. SADA splits are segment-level: the same |
| show/speaker may appear in more than one split. |
|
|
| ## License & attribution |
|
|
| SADA is CC BY-NC-SA 4.0 (SDAIA & Saudi Broadcasting Authority); this derivative keeps |
| the same license. LibriSpeech (Panayotov et al., 2015) and FLEURS (Conneau et al., 2022) |
| are CC-BY 4.0. |
|
|
