task_categories:text2text-generation size_categories:n<1K language:en language:zh license:cc-by-nc-4.0 region:us
---
license: cc-by-nc-4.0
task_categories:
- text2text-generation
language:
- en
- zh
size_categories:
- n<1K
---

A transformed version of MOSS [tool use dataset](https://github.com/OpenLMLab/MOSS/tree/main/SFT_data/conversations/conversation_with_plugins). 

Currently its only 500 conversations.

Changes:

1. Easy to integrate to existing conversation like dataset following formats like (evol v2, lima) where a full conversations are stored in list with even index represent the human prompt and odd index represent model response.

```json
{
  "conversations": [
    "Can you create a cityscape with buildings and a mountain in the background?",
    "<|thought|>The user's demand is to draw picture, and I need to generate commands that can draw high-quality image according to the user's needs.<|command|>Text2Image(\"a city with buildings and a mountain in the background\")",
    "Image generated successfully.",
    "Well, here is the generated image."
  ],
  "settings": "- Inner thoughts: enabled.\n- Web search: disabled.\n- Calculator: disabled.\n- Equation solver: disabled.\n- Text-to-image: enabled. API: Text2Image(description)\n- Image edition: disabled.\n- Text-to-speech: disabled.\n",
  "mode": "text2img"
}
```

2. Move the settings out to column and which the users can choose whether to prepend it back to first conversation round for setting