Dataset Viewer
prompt
stringclasses 10
values | completion
null |
---|---|
Can you describe the worker drone character's distinctive physical features? | null |
What is information about the clothing that Elsa or Anna from the musical, "The Promening", wore in "The Promening" and "Cabin Fever" episodes? | null |
Does the character have a transformation that adds large wings and other bat-like features? | null |
What new physical characteristics does Uzi acquire after assimilating the Solver within her? | null |
What are some characteristics that contribute to the complexity and uniqueness of Uzi's personality in relation to her fellow Worker Drones? | null |
What are some realistic ways Uzi's emotional baggage and strained relationship with her father have affected her behavior and relationships with others in the workplace? | null |
What can cause an obstacle for a disaffected individual who aims to destroy humanity? | null |
What events in the story cause Uzi to grow and become a more selfless person? | null |
What relationship milestones does Uzi achieve with her father and intimate partner in the series? | null |
What are some reasons whyMakeRange released her Solver Form? | null |
Dataset Card for my-distiset-01d48662
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/xellion/my-distiset-01d48662/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/xellion/my-distiset-01d48662/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"completion": null,
"prompt": "Can you describe the worker drone character\u0027s distinctive physical features?"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("xellion/my-distiset-01d48662", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("xellion/my-distiset-01d48662")
- Downloads last month
- 43