---
license: cc-by-4.0
language:
- en
task_categories:
- text-to-speech
tags:
- tts
- expressive-speech
- synthetic
- maya1
- voice-design
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*.parquet
---

# Maya1 Expressive TTS Dataset

A synthetic English speech dataset with inline expressive tags and a natural-language voice description for every clip.

| | |
|---|---|
| Clips | 3,850 |
| Total audio | 4.88 hours |
| Mean / median clip length | 4.6 s / 4.1 s |
| Sample rate | 24 kHz, mono WAV (embedded in parquet) |
| Language | English |
| Clips with at least one inline tag | 25 (0.6%) |

## How it was made

1. **Text:** `Qwen/Qwen3-0.6B` wrote short spoken utterances (1-3 sentences) from a planned set of speaker labels, topics, tones and tag instructions. Texts were validated (allowed tags only, word-count limits, no duplicates).
2. **Voice design:** each clip has a structured voice plan (gender, age, accent, pitch, timbre, pacing, emotion, intensity, plus a domain/role or a creative character), rendered into the instruction string that Maya1 consumes.
3. **Audio:** `maya1-q8_0` (GGUF) run through audio.cpp on Kaggle T4 GPUs. Clips were checked for sample rate, silence, duration and speech-rate anomalies, and failed ones were dropped.

## Columns

| column | description |
|---|---|
| `id` | clip id, e.g. `maya1_000123` |
| `audio` | WAV audio (24 kHz), decoded automatically by `datasets` |
| `text` | transcript, including inline tags such as `<laugh>` |
| `duration_seconds` | clip length in seconds |
| `sample_rate` | sample rate in Hz |
| `language` | `English` |
| `voice_description` | the instruction string given to Maya1 |
| `voice_attributes` | JSON string of the structured voice plan |
| `topic` | short topic label |
| `inline_tags` | list of expressive tags in the text |
| `n_words` | word count of the transcript, tags excluded from nothing (plain split) |
| `model` | `maya1-q8_0` |
| `seed` | sampling seed used for this clip |

## Usage

```python
from datasets import load_dataset
import json

ds = load_dataset("Shadow0482/test-v1", split="train")
ex = ds[0]
print(ex["text"])
print(ex["voice_description"])
print(json.loads(ex["voice_attributes"]))
audio = ex["audio"]            # {"array": ..., "sampling_rate": 24000}
```

Allowed inline tags: `<<chuckle>>`, `<<curious>>`, `<<disappointed>>`, `<<exhale>>`, `<<gasp>>`, `<<giggle>>`, `<<sarcastic>>`, `<<sigh>>`.

## Distribution

| voice kind | clips | share |
|---|---:|---:|
| realistic | 2725 | 70.8% |
| creative | 1125 | 29.2% |

| gender | clips | share |
|---|---:|---:|
| male | 2027 | 52.6% |
| female | 1823 | 47.4% |

| accent | clips | share |
|---|---:|---:|
| american | 1521 | 39.5% |
| british | 1020 | 26.5% |
| indian | 549 | 14.3% |
| middle_eastern | 392 | 10.2% |
| asian_american | 368 | 9.6% |

| emotion | clips | share |
|---|---:|---:|
| neutral | 2597 | 67.5% |
| dry | 322 | 8.4% |
| energetic | 262 | 6.8% |
| excited | 259 | 6.7% |
| sad | 252 | 6.5% |
| sarcastic | 158 | 4.1% |

| inline tag | clips | share |
|---|---:|---:|
| <gasp> | 8 | 32.0% |
| <exhale> | 5 | 20.0% |
| <curious> | 3 | 12.0% |
| <giggle> | 3 | 12.0% |
| <sigh> | 2 | 8.0% |
| <chuckle> | 2 | 8.0% |
| <disappointed> | 1 | 4.0% |
| <sarcastic> | 1 | 4.0% |


## Limitations

- All audio and text are synthetic. Prosody and tags come from a quantized (Q8_0) model and may be imperfect.
- Texts come from a 0.6B language model, so they can be repetitive or generic.
- Voice descriptions come from a fixed vocabulary, so coverage of real-world voices is limited.
- Check the license of Maya1 and Qwen before commercial use. The `license` field above is a placeholder: change it if needed.