| --- |
| license: mit |
| task_categories: |
| - text-to-speech |
| language: |
| - ru |
| --- |
| # Russian TTS MOS Evaluation Dataset |
|
|
| A curated Russian synthesized speech dataset with crowdsourced quality ratings. |
|
|
| ## Overview |
|
|
| This dataset contains Russian synthesized speech samples from multiple TTS systems and audio codec models, evaluated by human annotators via crowdsourcing. Quality ratings are provided in two dimensions: perceptual quality (MOS) and intelligibility (Int-MOS). |
|
|
| - **Language:** Russian only |
| - **Sources:** F5, FishSpeech, GPT-So-VITS, Tortoise, XTTS, EnCodec, WavTok, and internal encoder/decoder configurations |
| - **Format:** Single Parquet file with embedded audio bytes |
| - **Access:** Public |
|
|
| ## Usage |
|
|
| ### Load the dataset |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("YOUR_ORG/YOUR_DATASET_NAME") |
| ``` |
| Or just use script load_data_tts.py |
|
|
| ### Read audio from bytes |
|
|
| ```python |
| import io |
| import soundfile as sf |
| |
| sample = ds["train"][0] |
| |
| audio_array, sr = sf.read(io.BytesIO(sample["audio"])) |
| |
| print(f"File: {sample['filename']}") |
| print(f"MOS: {sample['mos_mean']}") |
| print(f"Int-MOS: {sample['int_mos_mean']}") |
| ``` |
|
|
| ## Data Structure |
|
|
| Each row corresponds to one audio file with aggregated scores from all annotators. |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `inner_audio_id` | int | Internal audio identifier from the labeling system | |
| | `filename` | string | Relative path to the audio file (e.g. `F5/001234_RUSLAN.wav`) | |
| | `audio` | binary | Raw audio bytes (wav) | |
| | `mos_mean` | float or null | Mean perceptual quality score (1–5); null if not rated | |
| | `int_mos_mean` | float or null | Mean intelligibility score (1–5); null if not rated | |
| | `project` | string | Source labeling project name |. |
| ## Evaluation Methodology |
|
|
| Ratings were collected via crowdsourcing across two independent evaluation tracks: |
| - **MOS** — perceptual quality assessment following ITU-T P.800 (1 = bad, 5 = excellent) |
| - **Int-MOS** — intelligibility assessment on the same 1–5 scale |
|
|
| Each sample may have one or both scores depending on which evaluation projects it was included in. A sample appearing in both tracks may carry two different `inner_audio_id` values — this is expected behavior from the labeling pipeline. |
|
|
| Model quality on unlabeled data was additionally estimated using [Proxymos](https://huggingface.co/lab260/ProxyMos) as a reference-free MOS predictor. |
|
|
| ## Contact |
|
|
| - Email: kborodin.research@gmail.com |
| - Telegram: [@korallll_ai](https://t.me/korallll_ai) |
|
|
