Datasetpublic

vxltxrllc/audio-function-calling-v1

Audio Function Calling Dataset (vxltxrllc/audio-function-calling-v1) Multimodal dataset containing conversational function-calling turns with pre-extracted Voxtral Mini (vxltxrllc/voxtral-mini-audio-extractor) latent audio features in bfloat16. Overview Audio Turns: 703 user turns processed across 137 multi-turn conversations (~85.7 minutes of effective speech audio). Feature Format: Unpadded sequence-trimmed bfloat16 tensors with shape [T_frames, 3072] stored in… See the full description on the dataset page: https://huggingface.co/datasets/vxltxrllc/audio-function-calling-v1.

sourceHugging Faceapache-2.0updated 3d agoView on Hugging Face

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Dataset Card

Audio Function Calling Dataset (`vxltxrllc/audio-function-calling-v1`)

Multimodal dataset containing conversational function-calling turns with pre-extracted Voxtral Mini (vxltxrllc/voxtral-mini-audio-extractor) latent audio features in bfloat16.

Overview

—Audio Turns: 703 user turns processed across 137 multi-turn conversations (~85.7 minutes of effective speech audio).
—Feature Format: Unpadded sequence-trimmed bfloat16 tensors with shape [T_frames, 3072] stored in .safetensors shards (12.5 Hz frame rate).
—Manifest: Compact Parquet manifest (data/train.parquet, ~523 KB) linking text conversations and function calls directly to latent feature shards (features/shard_*.safetensors).

Dataset Structure

text

vxltxrllc/audio-function-calling-v1/
├── README.md
├── data/
│   └── train.parquet              # Main conversational manifest
└── features/
    ├── shard_00000.safetensors    # BF16 audio feature embeddings [T, 3072]
    └── shard_00001.safetensors