Dataset Viewer
context
null | question
stringclasses 8
values | response
null |
---|---|---|
null | What is none? | null |
null | What are the benefits of nothingness? | null |
null | Is there nothing? | null |
null | What is the definition of nothing? | null |
null | What is nothing? | null |
null | Is there anything that exists? | null |
null | Does anything exist? | null |
null | What is nothing? | null |
null | What exists? | null |
null | What is none? | null |
Dataset Card for eccommerce-fraudelent
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/srushtiparakhiya/eccommerce-fraudelent/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/srushtiparakhiya/eccommerce-fraudelent/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"context": null,
"question": "What is none?",
"response": null
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("srushtiparakhiya/eccommerce-fraudelent", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("srushtiparakhiya/eccommerce-fraudelent")
- Downloads last month
- 13