Datasets:
text
stringclasses 7
values | label
class label 5
classes |
---|---|
This French Roquefort cheese is a heavily discounted version of the more popular Blue cheese Roquefort cheese. | 0denomination
|
This type of cheese is not used in this type of cheese. | 1stamp type
|
The couple's relationship was affected by the genetic factors | 4theme
|
The new model needs to be able to accurately classify text data based on the implications of the human emotions. | 2year of issue
|
I've been thinking, that our human relationships might be influenced by our perceptions of our physical appearances, has been argued to be a major factor in attraction, and other points, given our are looking for women who are physically attractive. | 3country of origin
|
The pirate, a man in his 30s with a terrible haircut, ordered a drink from the bartender at the dimly lit tavern. His gruff demeanor and leather jacket commanded respect from the bartender, who, seeing he was a regular, immediately started making him his usual drink. | 4theme
|
This is a list of type and type Excel spreadsheet for seniors and superiors only. | 2year of issue
|
Dataset Card for my-distiset-d41d489a
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/Tim158/my-distiset-d41d489a/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/Tim158/my-distiset-d41d489a/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 0,
"text": "This French Roquefort cheese is a heavily discounted version of the more popular Blue cheese Roquefort cheese."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("Tim158/my-distiset-d41d489a", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("Tim158/my-distiset-d41d489a")
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