---
license: apache-2.0
language:
- en
tags:
- audio
- function-calling
- voxtral
- multimodal
- speech-processing
- embeddings
pretty_name: Audio Function Calling (Voxtral BF16 Features)
dataset_info:
  features:
  - name: sample_id
    dtype: string
  - name: persona
    dtype: string
  - name: tools_json
    dtype: string
  - name: conversation
    dtype: string
---

# 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