Datasets:
text
stringclasses 7
values | label
class label 2
classes |
---|---|
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. | 0suspicious
|
A transaction of $500 was made at a local store in New York on March 22, 2023. A person who works at this store often makes purchases of $200 and $300 on a regular basis. | 1legitimate
|
On February 10, 2023, a customer in New York made a transaction of $500 at a local store using their debit card. The transaction occurred on the same day at the same store. | 1legitimate
|
A customer in New York made a purchase of $1,500 on February 22nd at a retail store, using their debit card, and the transaction was flagged for review. | 1legitimate
|
A customer from New York made a payment to a company called 'Tech Services Inc. via credit card on the 10th of this month, the payment amount was $520 | 1legitimate
|
Customer from California made a 7,300 dollar purchase in a single transaction from a remote location in China. | 0suspicious
|
Transaction from Alice Smith, date: 2022-07-25, amount: $450.00, location: New York | 1legitimate
|
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")
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