oellm-eu-tooluse-v1

Function-calling / agentic post-training data, normalized to Qwen3.5's native tool-call format (<tools>…</tools> in the system turn, <tool_call>{json}</tool_call> from the assistant). Built for the OpenEuroLLM European post-training of Qwen3.5 (folded into the Qwen3.5-4B-EU "v-next" mobile model as ~10% of the SFT mix, plus a verifiable RL stage).

The value here is format unification: three popular tool-use sources each encode calls differently (Hermes JSON, ToolACE pythonic [fn(a=1)], Glaive marker-delimited with single-quoted argument strings). We parse each faithfully and re-render everything into the one format Qwen3.5 actually consumes at inference, so training format == inference format.

Contents

Config	Split	Rows	Schema
sft (default)	train	55,077	{"messages": [{role, content}…], "lang": "en"}
grpo	train	46,366	{"prompt": [messages], "answer": "<json [{name, arguments}]>", "language": "en"}

• SFT rows are ready for chat-template SFT (e.g. TRL SFTTrainer) — the tool definitions are baked into the system message with Qwen3.5's exact wrapper.
• GRPO rows are for verifiable RL (RLVR): single-call examples with clean gold, gradeable by a structure+name+arguments reward (no reward model). One example per source conversation.

Sources & attribution

All upstream sources are Apache-2.0; this derived dataset is released under the same license.

Source	Rows kept	Notes
glaiveai/glaive-function-calling-v2	50,000	JSON-native backbone; includes some "don't call" (relevance) turns
Team-ACE/ToolACE	3,184	multi-turn; pythonic calls parsed via ast → JSON
NousResearch/hermes-function-calling-v1	1,893	already Hermes/Qwen-formatted

Only rows whose calls parsed cleanly into {name, arguments} are kept (consistency over volume).

Language

Currently English only — the upstream tool-use corpora are English. EU-language tool-use (distilling the same schemas/calls with non-English user turns) is planned future work.

Intended use

Teaching / evaluating function calling in the Qwen3.5 native format. Reproduction script: scripts/build_tooluse_sft.py in the OpenEuroLLM post-training repo. A self-contained, vLLM-free BFCL-style evaluator (scripts/eval_tool_calling.py) grades name/args/format accuracy plus refusal/relevance on a held-out Glaive slice.

Limitations

English-only; single-call gold for the GRPO split (parallel/multi-call left to SFT); ToolACE coverage is a clean subset, not the full corpus. Inherits any artifacts of the upstream sources.