| --- |
| language: |
| - en |
| license: mit |
| pretty_name: Tool Calling Harness Training Corpus |
| tags: |
| - tool-calling |
| - agents |
| - codex |
| - opencode |
| - swival |
| - function-calling |
| task_categories: |
| - text-generation |
| --- |
| |
| # Tool Calling Harness Training Corpus |
|
|
| This dataset contains supervised tool-calling conversations and executable eval tasks for three local coding-agent harnesses: |
|
|
| - Swival |
| - opencode |
| - Codex CLI |
|
|
| The examples are OpenAI-style chat records. Assistant tool calls use a `tool_calls` array with JSON-encoded function arguments, followed by tool-result messages and final assistant responses. The corpus is intended for fine-tuning and evaluating local models that need to choose the right tool, use the correct argument shape, recover from harness-specific mistakes, and verify coding work through the actual harness. |
|
|
| ## Files |
|
|
| Training splits: |
|
|
| - `swival/train.jsonl`: 6,064 examples |
| - `opencode/train.jsonl`: 6,290 examples |
| - `codex/train.jsonl`: 6,410 examples |
|
|
| Eval task specs: |
|
|
| - `swival/eval.jsonl`: 5 executable eval tasks |
| - `opencode/eval.jsonl`: 5 executable eval tasks |
| - `codex/eval.jsonl`: 5 executable eval tasks |
|
|
| Tool inventories: |
|
|
| - `swival/tool_inventory.json` |
| - `opencode/tool_inventory.json` |
| - `codex/tool_inventory.json` |
|
|
| Harness support files: |
|
|
| - `configs/opencode-qwen35.json` |
| - `configs/codex-qwen35.toml` |
| - `scripts/run_swival_eval.py` |
| - `scripts/run_opencode_eval.py` |
| - `scripts/run_codex_eval.py` |
| - `scripts/validate_dataset.py` |
| - `scripts/validate_opencode_dataset.py` |
| - `scripts/validate_codex_dataset.py` |
|
|
| ## Local Harness Targets |
|
|
| The generated eval runners were tested against a local OpenAI-compatible `qwen35` server at `http://127.0.0.1:8000`. |
|
|
| Swival uses: |
|
|
| ```sh |
| swival --profile omlx |
| ``` |
|
|
| opencode uses: |
|
|
| ```sh |
| bunx opencode-ai@latest run --model qwen35/qwen35 |
| ``` |
|
|
| Codex uses: |
|
|
| ```sh |
| env OMLX_API_KEY=omlx codex -a never exec --json --ephemeral --skip-git-repo-check --sandbox workspace-write -c model_provider=\"omlx\" -m qwen35 |
| ``` |
|
|
| ## Validation |
|
|
| The source workspace validated the generated artifacts with: |
|
|
| ```sh |
| uv run python scripts/validate_dataset.py data/swival_tool_calling_train.jsonl |
| uv run python scripts/validate_dataset.py data/swival_tool_calling_eval.jsonl |
| uv run python scripts/validate_opencode_dataset.py data/opencode_tool_calling_train.jsonl |
| uv run python scripts/validate_opencode_dataset.py data/opencode_tool_calling_eval.jsonl |
| uv run python scripts/validate_codex_dataset.py data/codex_tool_calling_train.jsonl |
| uv run python scripts/validate_codex_dataset.py data/codex_tool_calling_eval.jsonl |
| uv run python scripts/run_swival_eval.py --self-check |
| uv run python scripts/run_opencode_eval.py --self-check |
| uv run python scripts/run_codex_eval.py --self-check |
| ``` |
|
|
| Live smoke tests were also run for opencode and Codex against the local `qwen35` endpoint. Swival, opencode, and Codex each have their own tool naming and argument conventions, so the examples intentionally avoid collapsing them into one generic schema. |
|
|
| ## Schema |
|
|
| Training rows use: |
|
|
| ```json |
| { |
| "id": "string", |
| "split": "train", |
| "tags": ["harness", "tool_name"], |
| "messages": [ |
| {"role": "user", "content": "task"}, |
| { |
| "role": "assistant", |
| "content": "", |
| "tool_calls": [ |
| { |
| "id": "call_1", |
| "type": "function", |
| "function": { |
| "name": "tool_name", |
| "arguments": "{\"key\":\"value\"}" |
| } |
| } |
| ] |
| }, |
| {"role": "tool", "tool_call_id": "call_1", "name": "tool_name", "content": "tool result"}, |
| {"role": "assistant", "content": "final response"} |
| ] |
| } |
| ``` |
|
|
| Eval rows define disposable workspace files plus verifiers such as exact file contents, substring checks, missing-file checks, JSON field checks, and command checks. |
|
|