lfm3-fr-tutorial / README.md
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spoken rows (stage 3): tool dialogues under the spoken prompt + social windows
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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.