Datasets:
Card: rename synthetic_vocal_burts_dramabox -> synthetic-vocal-bursts-voice-acting; licence CC-BY-4.0; drop generator name
Browse filesRepository renamed (the old name redirects). Card cleaned: title, links and load examples use the new name; license set to cc-by-4.0; generator-specific wording removed.
README.md
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- audio
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- synthetic
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- tts
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-
-
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- webdataset
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- laion
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size_categories:
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- 1K<n<10K
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pretty_name: Synthetic Vocal Bursts (
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---
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# Synthetic Vocal Bursts (
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A synthetic dataset of **2,000 vocal burst audio samples** generated
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## Dataset Summary
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| **Age groups** | 16 (8 female, 8 male) |
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| **Samples per group** | 125 |
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| **Unique vocal burst types** | 197 |
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| **Generation model** | DramaBox TTS |
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| **Hardware** | 8x NVIDIA A100 GPUs |
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## Age Groups
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import webdataset as wds
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import json
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url = "https://huggingface.co/datasets/laion/
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dataset = (
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wds.WebDataset(url, shardshuffle=True)
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from huggingface_hub import hf_hub_download
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path = hf_hub_download(
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repo_id="laion/
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filename="data/shard-0000.tar",
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repo_type="dataset",
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)
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1. An extended vocal burst taxonomy was curated from the LAION Voice-Acting-Pipeline taxonomy plus additional categories
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2. For each of the 16 age/gender groups, 125 vocal burst types were sampled from the taxonomy
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3. Text prompts were generated in the format: *"A {age_descriptor} performing {burst_key}, {burst_description}"*
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4. Audio was synthesized
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5. Each sample was generated with a randomized duration between 3–12 seconds
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## License
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If you use this dataset, please cite:
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```bibtex
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@dataset{
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title={Synthetic Vocal Bursts (
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author={LAION},
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year={2026},
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url={https://huggingface.co/datasets/laion/
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license={CC-BY-4.0}
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}
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```
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- audio
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- synthetic
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- tts
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- voice-acting
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- webdataset
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- laion
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size_categories:
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- 1K<n<10K
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pretty_name: Synthetic Vocal Bursts (voice acting)
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---
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# Synthetic Vocal Bursts (voice acting)
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A synthetic dataset of **2,000 vocal burst audio samples** generated with a voice-acting TTS model on 8x A100 GPUs. The dataset covers 197 distinct vocal burst types across 16 age/gender groups, providing a comprehensive taxonomy of human non-speech vocalizations.
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## Dataset Summary
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| **Age groups** | 16 (8 female, 8 male) |
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| **Samples per group** | 125 |
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| **Unique vocal burst types** | 197 |
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| **Hardware** | 8x NVIDIA A100 GPUs |
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## Age Groups
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import webdataset as wds
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import json
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url = "https://huggingface.co/datasets/laion/synthetic-vocal-bursts-voice-acting/resolve/main/data/shard-{0000..0003}.tar"
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dataset = (
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wds.WebDataset(url, shardshuffle=True)
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from huggingface_hub import hf_hub_download
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path = hf_hub_download(
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repo_id="laion/synthetic-vocal-bursts-voice-acting",
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filename="data/shard-0000.tar",
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repo_type="dataset",
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)
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1. An extended vocal burst taxonomy was curated from the LAION Voice-Acting-Pipeline taxonomy plus additional categories
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2. For each of the 16 age/gender groups, 125 vocal burst types were sampled from the taxonomy
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3. Text prompts were generated in the format: *"A {age_descriptor} performing {burst_key}, {burst_description}"*
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4. Audio was synthesized with the voice-acting model distributed across **8x NVIDIA A100 GPUs**
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5. Each sample was generated with a randomized duration between 3–12 seconds
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## License
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If you use this dataset, please cite:
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```bibtex
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@dataset{synthetic_vocal_bursts_voice_acting_2026,
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title={Synthetic Vocal Bursts (voice acting)},
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author={LAION},
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year={2026},
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url={https://huggingface.co/datasets/laion/synthetic-vocal-bursts-voice-acting},
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license={CC-BY-4.0}
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}
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```
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---
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The audio in this dataset was generated with a voice-acting AI model.
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