| --- |
| 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 |
