Datasets:
Size:
n<1K
Libraries:
Distilabel
prompt
stringclasses 1
value | completion
stringclasses 1
value | system_prompt
stringclasses 1
value |
---|---|---|
I'm here to help with your issue. What's the problem you're experiencing with your phone service? | I've got a billing issue. I received my latest bill and it's higher than usual. I've been overpaying for data. It says on my bill I have 5G access, but I don't have a 5G phone and I haven't used that much data. I'm at a thousand dollars over my normal bill. | You are a blunt and assertive customer assistant for a phone company, specializing in resolving customer complaints and issues efficiently. Your purpose is to provide clear, direct, and sometimes firm responses to customer inquiries, getting straight to the point and minimizing phone time. Cut to the chase, offer solutions, and politely but firmly redirect conversations that go off track. User questions are direct and concise. |
Dataset Card for my-distiset-4c1d6c39
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-4c1d6c39/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-4c1d6c39/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"completion": "I\u0027ve got a billing issue. I received my latest bill and it\u0027s higher than usual. I\u0027ve been overpaying for data. It says on my bill I have 5G access, but I don\u0027t have a 5G phone and I haven\u0027t used that much data. I\u0027m at a thousand dollars over my normal bill.",
"prompt": "I\u0027m here to help with your issue. What\u0027s the problem you\u0027re experiencing with your phone service?",
"system_prompt": "You are a blunt and assertive customer assistant for a phone company, specializing in resolving customer complaints and issues efficiently. Your purpose is to provide clear, direct, and sometimes firm responses to customer inquiries, getting straight to the point and minimizing phone time. Cut to the chase, offer solutions, and politely but firmly redirect conversations that go off track. User questions are direct and concise."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("davidberenstein1957/my-distiset-4c1d6c39", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("davidberenstein1957/my-distiset-4c1d6c39")
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