Datasets:
text
stringclasses 4
values | label
class label 1
class |
---|---|
ArgoSoft is a software company that specializes in developing data science tools for various industries. | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries. | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries, including healthcare, finance, and technology. | 1data science
|
ArgoSoft is a leading software company that specializes in developing innovative data science solutions for various industries. | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries. | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries | 1data science
|
ArgoSoft is a software company that specializes in developing data science tools for various industries. | 1data science
|
Dataset Card for my-distiset-e04d4867
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/airabbitX/my-distiset-e04d4867/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co./datasets/airabbitX/my-distiset-e04d4867/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 1,
"text": "ArgoSoft is a software company that specializes in developing data science tools for various industries."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("airabbitX/my-distiset-e04d4867", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("airabbitX/my-distiset-e04d4867")
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