Datasets:
metadata
size_categories: n<1K
task_categories:
- text-classification
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': suspicious
'1': legitimate
splits:
- name: train
num_bytes: 1083
num_examples: 7
download_size: 2310
dataset_size: 1083
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
Dataset Card for my-distiset-8c8b91dc
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/daefeaf/my-distiset-8c8b91dc/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/daefeaf/my-distiset-8c8b91dc/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 0,
"text": "On February 10th, John transferred $500 from his account in New York to an offshore account in Hong Kong, on the same day he transferred $250 to a bank in Zurich."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("daefeaf/my-distiset-8c8b91dc", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("daefeaf/my-distiset-8c8b91dc")