## This dataset is a version of the ChatCombined dataset where each token is separated into three different columns.
These three columns are:
- "System" - a string with a system prompt
- "User" - a string with user input
- "Assistant" - a string containing the model output

# You can load the dataset like this
```python
with open("formatted_data.json") as f:
    data = json.load(f)
val_data = data["validation"]
data = data["train"]
```
### Example usage
```python
def __getitem__(self, idx):
        system = self.data[idx]["System"].strip('\n')
        user = self.data[idx]["User"].strip('\n')
        assistant = self.data[idx]["Assistant"].strip('\n')
        return system, user, assistant
```
## Citations
```
@misc{huggingface2023,
title={dmayhem93/ChatCombined},
author={{dmayhem93}},
year=2023,
url="https://huggingface.co/datasets/dmayhem93/ChatCombined"
}
```
task_categories:conversational task_categories:question-answering task_categories:text-generation size_categories:1M<n<10M language:en language:zh license:openrail region:us
{"language": ["en", "zh"], "license": "openrail", "size_categories": ["1M<n<10M"], "task_categories": ["conversational", "question-answering", "text-generation"]}
TAGS
#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #size_categories-1M<n<10M #language-English #language-Chinese #license-openrail #region-us 

## This dataset is a version of the ChatCombined dataset where each token is separated into three different columns.
These three columns are:
- "System" - a string with a system prompt
- "User" - a string with user input
- "Assistant" - a string containing the model output

# You can load the dataset like this

### Example usage

s

## This dataset is a version of the ChatCombined dataset where each token is separated into three different columns.
These three columns are:
- "System" - a string with a system prompt
- "User" - a string with user input
- "Assistant" - a string containing the model output # You can load the dataset like this ### Example usage

s
TAGS
#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #size_categories-1M<n<10M #language-English #language-Chinese #license-openrail #region-us 
 ## This dataset is a version of the ChatCombined dataset where each token is separated into three different columns.
These three columns are:
- "System" - a string with a system prompt
- "User" - a string with user input
- "Assistant" - a string containing the model output # You can load the dataset like this ### Example usage

s
passage: TAGS
#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #size_categories-1M<n<10M #language-English #language-Chinese #license-openrail #region-us 
## This dataset is a version of the ChatCombined dataset where each token is separated into three different columns.
These three columns are:
- "System" - a string with a system prompt
- "User" - a string with user input
- "Assistant" - a string containing the model output# You can load the dataset like this### Example usage

s