Datasets:
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stringlengths 17
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I am transferring $500 to my bank account with account number 1234567890. | 1debit
|
The new smartphone has a sleek design, a large 6-inch screen, and a powerful processor. It also has a long-lasting battery and a high-quality camera. | 2credit
|
The bank account has a positive balance of $1000. The customer has made several payments and has received a refund of $200. The account has a credit limit of $5000. | 2credit
|
Withdrawal from savings account to pay rent | 2credit
|
Tom spent $500 on a new laptop and $200 on a pair of shoes, but then he was refunded $100 for the laptop, so he has a balance of $200 in his account. | 0transfer
|
Emily transferred $500 to David's PayPal account. | 2credit
|
The company will be issuing a refund due to a discrepancy in the account statement, as per the new policy that aims to increase customer satisfaction and trust. | 2credit
|
The calculator displayed a result of 24.5, but the user suspected the answer was actually 24.5. Which of the following is most likely the cause of the discrepancy? | 0transfer
|
Borrowers Paying Off Their Mortgages Early Wondering If They Should Invest in the Market. Should They? Maybe consider it a loan but strictly remove any emotional words remove suggestions. | 2credit
|
See instructions— | 0transfer
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Amy and I met at the Bank. | 1debit
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The job requires according o according job specifications rely France version. | 2credit
|
Dataset Card for currency-dataset
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/hiudevdut/currency-dataset/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/hiudevdut/currency-dataset/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 1,
"text": "I am transferring $500 to my bank account with account number 1234567890."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("hiudevdut/currency-dataset", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("hiudevdut/currency-dataset")
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