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Datasets:
Shadow0482
/
Hagc

Tasks:
Text-to-Speech
Modalities:
Audio
Tabular
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
Synthetic
tts
expressive-speech
Libraries:
Datasets
pandas
Polars
Dataset card Data Studio Files
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Shadow0482 commited on
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Add Maya1 samples

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  1. .state/checkpoint.json +9 -0
  2. README.md +62 -0
  3. audio/maya1_000001.wav +3 -0
  4. audio/maya1_000002.wav +3 -0
  5. audio/maya1_000003.wav +3 -0
  6. audio/maya1_000004.wav +3 -0
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.state/checkpoint.json ADDED
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+ {
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+ "time": "2026-10-14T16:44:18+00:00",
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+ "valid_seconds": 223.31733333333332,
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+ "valid_hours": 0.06203259259259259,
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+ "completed": 37,
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+ "failed": 0,
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+ "pending": 47,
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+ "error_events": 0
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+ }
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ task_categories:
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+ - text-to-speech
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+ tags:
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+ - synthetic
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+ - tts
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+ - expressive-speech
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: metadata.jsonl
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+ ---
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+
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+ # Maya1 expressive English TTS dataset (synthetic)
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+
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+ **Samples:** 37 | **Total audio:** 0.062 hours | **Mean duration:** 6.04 s | **Format:** 24000 Hz WAV
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+
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+ ## Purpose and generation method
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+ Synthetic speech for TTS research. Each record was produced in two stages: a small instruction model
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+ (`Qwen/Qwen3-0.6B`) wrote an English utterance and inline-tag placement; the pipeline assigned controlled voice attributes
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+ and rendered them as a voice description. Maya1 (Q8_0 GGUF, `audio-cpp/audio.cpp-gguf/Maya1-GGUF/maya1-q8_0.gguf`) then ran through the audio.cpp runtime
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+ (v0.9.0, CUDA) to render the audio.
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+ Voice design uses a controlled attribute vocabulary (realistic: age, gender, accent, pitch, timbre, pacing, emotion and intensity, domain, role, register; creative: character plus the same base attributes) rendered into a fixed descriptive string passed via `instruct=`. The sampled attributes are stored in `voice_attributes`.
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+
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+ ## Scope
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+ English only (default). 24 kHz WAV, sample rate and duration validated per file after generation.
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+
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+ ## Inline tag convention
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+ Tags are angle-bracket tokens placed inline in `text` at the point they should affect delivery.
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+ Allowlist (20): <angry>, <appalled>, <chuckle>, <cry>, <curious>, <disappointed>, <excited>, <exhale>, <gasp>, <giggle>, <gulp>, <laugh>, <laugh_harder>, <mischievous>, <sarcastic>, <scream>, <sigh>, <sing>, <snort>, <whisper>. Many records contain no tag. `inline_tags` lists the tags actually found in `text`.
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+
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+ ## Schema (`metadata.jsonl`)
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+ `id`, `text`, `audio` (relative path), `duration_seconds`, `sample_rate`, `channels`, `language`, `voice_description`,
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+ `voice_design_id`, `voice_attributes`, `topic`, `style`, `inline_tags`, `model_name`, `quantization`, `model_filename`, `runtime_version`,
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+ `qwen_model`, `voice_description_source`, `generation_settings`, `seed`, `generation_wall_seconds`, `generation_status`, `created_at`.
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+ `texts.jsonl` holds all accepted text records (some may have no audio yet); `generation_errors.jsonl` logs failed attempts.
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+
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+ ## Loading
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ from datasets import load_dataset, Audio
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+ root = snapshot_download("Shadow0482/test-v1", repo_type="dataset")
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+ ds = load_dataset("json", data_files=root + "/metadata.jsonl", split="train")
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+ ds = ds.map(lambda r: {"audio": root + "/" + r["audio"]}).cast_column("audio", Audio(sampling_rate=24000))
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+ print(ds[0]["text"], ds[0]["voice_description"])
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+ ```
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+
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+ ## Known limitations
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+ All text and audio are model-generated: pronunciation, prosody, accent and tag realisation can deviate from the written
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+ description; invented content is not factual. Automatic validation is heuristic (duration, silence, format), not human review.
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+ Near-duplicate filtering is lexical. Quality of a 0.6B-parameter text generator is limited.
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+
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+ ## Licenses and notices
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+ Maya1 is Apache-2.0 and its bundled SNAC decoder is MIT (as stated in the task brief; confirm on the upstream model cards).
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+ See the model cards of `Qwen/Qwen3-0.6B` and the audio.cpp repository for their terms. **No license has been declared for this
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+ dataset**; review upstream model/output terms before choosing one.
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+
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+ ## Synthetic-data disclosure
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+ This dataset consists entirely of synthetic speech and synthetic text. It does not contain recordings of real people.
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