Datasets:
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| license: other | |
| license_name: lfm-open-license-1.0 | |
| license_link: https://huggingface.co/LiquidAI/LFM3-Audio-2B/blob/main/LICENSE | |
| language: | |
| - fr | |
| - en | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - tool-calling | |
| - voice-assistant | |
| - lfm3-audio | |
| configs: | |
| - config_name: tools | |
| data_files: | |
| - split: train | |
| path: tools/train.parquet | |
| - split: validation | |
| path: tools/validation.parquet | |
| - config_name: spoken | |
| data_files: | |
| - split: train | |
| path: spoken/train.parquet | |
| - split: validation | |
| path: spoken/validation.parquet | |
| # LFM3-Audio-2B French voice agent — tutorial data, stage 2 (tools) | |
| Private tutorial data for `notebooks/LFM3_Audio_(2B)-FR-tools.ipynb` (rcarvalo/liquidai-vllm): web_search / db_query | |
| dialogues as LFM3-Audio messages. One row per exchange: `system` (routing rules + the model card's `List of tools:`), | |
| `tools` (JSON, `apply_chat_template(tools=...)`), `messages` (JSON, LFM3's own protocol: an assistant message with | |
| `tool_calls`, a `tool` message for the result, the reply as said), `call` (the expected decision, JSON or null) and | |
| `reply` (text in spoken form: numbers in words). | |
| | config / split | rows | fr | en | | |
| |---|---|---|---| | |
| | tools / train | 3060 | 2447 | 613 | | |
| | tools / validation | 65 | 53 | 12 | | |
| | spoken / train | 4330 | 3424 | 906 | | |
| | spoken / validation | 95 | 76 | 19 | | |
| `spoken/` holds the stage-3 rows: the same tool dialogues under the spoken system prompt (`Respond with function | |
| calls, and interleaved text and audio.`), plus social conversation windows answered without a tool (`source = | |
| conversation`, from `Rcarvalo/conversational-s2s-v1`). Their replies are voiced by the base model's own French and | |
| English TTS voices and stored as codec frames under `spoken/codes/` (`id`, `frames` as a flat int16 list, `n_frames`, | |
| `audio_s`), the targets of the interleaved mode. | |
| Sources (by the same author, gated): `Rcarvalo/lfm25-fr-corpus-v1` (`dataset/toolcalling_fr.jsonl`, | |
| `dataset/toolcalling_en.jsonl`) and `Rcarvalo/tc-en-voice-agent-v1` (`phase_b/train_v5_1.jsonl`). English is sampled | |
| to one row in five (seed 0). The 267 dialogues of the agent benches (`reports/agent_eval/*.jsonl`) are held | |
| out by id. The voice rows of stage 1 are `Rcarvalo/lfm25-audio-fr-tutorial` (SIWIS, CC BY 4.0). | |
| Derived data for use with Liquid AI's LFM3-Audio-2B: LFM Open License v1.0. Not for publication without review. | |