NickyNicky/function-calling-sharegpt_chatml_gemma_agent

---
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: formatted_text
dtype: string
- name: len_token_text
dtype: int64
splits:
- name: train
num_bytes: 347342168
num_examples: 86864
download_size: 103992929
dataset_size: 347342168
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- es
size_categories:
- 10K<n<100K
---


```
bos><start_of_turn>system
You are a helpful assistant with access to the following functions. Use them if required -
{
"name": "create_contact",
"description": "Create a new contact",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The name of the contact"
},
"email": {
"type": "string",
"description": "The email address of the contact"
}
},
"required": [
"name",
"email"
]
}
}

To use these functions respond with:
<functioncall> {"name": "function_name", "arguments": {"arg_1": "value_1", "arg_1": "value_1", ...}} </functioncall>

Edge cases you must handle:
- If there are no functions that match the user request, you will respond politely that you cannot help.
<start_of_turn>user
I need to create a new contact for my friend John Doe. His email is [e-mail].
<start_of_turn>model
<functioncall> {"name": "create_contact", "arguments": '{"name": "John Doe", "email": "[e-mail]"}'} </functioncall>
<start_of_turn>model
I have successfully created a new contact for your friend John Doe with the email [e-mail].
<end_of_turn><eos>
```

## taken from hypervariance.
```
https://huggingface.co/datasets/hypervariance/function-calling-sharegpt
```

原始信息汇总

数据集概述

数据集信息

• 特征:

  • conversations: 包含对话信息
    • from: 字符串类型
    • value: 字符串类型
  • formatted_text: 字符串类型
  • len_token_text: 整数类型 (int64)

• 数据分割:

  • train: 训练集
    • 字节数: 347342168
    • 样本数: 86864

• 下载大小: 103992929 字节

• 数据集大小: 347342168 字节

配置

• 默认配置:
  • 数据文件:
    • 训练集路径: data/train-*

语言

• 西班牙语 (es)

数据集大小类别

• 10K < n < 100K