LocoreMind/agent-sft-example

---
license: apache-2.0
language:
- en
tags:
- agent
- tool-use
- sft
- ms-swift
- copaw
size_categories:
- n<1K
---

# Agent SFT Example Dataset (CoPaw Format)

This is an example dataset for training agent models with tool calling capabilities using MS-SWIFT, formatted for CoPaw-Flash-9B compatibility.

## Format

The dataset uses the standard **messages format** with only three roles: `system`, `user`, `assistant`.

- **tool_call**: Placed in `assistant` content using XML tags with **snake_case** tool names
- **tool_response**: Placed in `user` content using `<tool_response></tool_response>` tags

## Tool Call Format (CoPaw-Flash-9B Compatible)

```xml
<tool_call>
<function=bash>
<parameter=command>
ls -la
</parameter>
</function>
</tool_call>
```

**Important**: Tool names use **snake_case** format (e.g., `bash`, `read`, `write`, `file_tree`) to match CoPaw-Flash-9B's chat_template.jinja.

## Example Structure

### Single Tool Call
```
system: System prompt with tool definitions
user: User question
assistant: [optional explanation] + <tool_call><function=bash>...</function></tool_call>
user: <tool_response>tool output</tool_response>
assistant: Final answer
```

### Multi-turn Tool Calls
```
system: System prompt
user: User question
assistant: Explanation + <tool_call><function=bash>...</function></tool_call>
user: <tool_response>first result</tool_response>
assistant: Explanation + <tool_call><function=read>...</function></tool_call>
user: <tool_response>second result</tool_response>
assistant: Final summary
```

### Regular Conversation (no tools)
```
user: Regular question
assistant: Direct answer
```

## Available Tools (snake_case)

| Tool Name | Description |
|-----------|-------------|
| `bash` | Execute shell commands |
| `read` | Read file contents |
| `write` | Write content to file |
| `edit` | Edit file contents |
| `glob` | Find files matching pattern |
| `grep` | Search for patterns in files |
| `file_tree` | View directory structure |
| `file_list` | List files in directory |

## Usage with MS-SWIFT

```bash
swift sft \
--model Qwen/Qwen3-4B-Instruct \
--dataset LocoreMind/agent-sft-example \
--tuner_type lora \
--output_dir output
```

## Compatible Models

This format is compatible with:
- CoPaw-Flash-9B
- CoPaw-Flash-9B-Agent-Merged
- Qwen3 series (with appropriate chat template)
- Other models using CoPaw-style XML tool format

## Related Datasets

- [LocoreMind/agent-trajectories-msswift](https://huggingface.co/datasets/LocoreMind/agent-trajectories-msswift) - Full training dataset