Datasets:
text
stringclasses 10
values | label
class label 3
classes |
|---|---|
The extracted data from the document revealed a discrepancy between the company's financial records and the tax returns submitted to the government. The audit report indicated a significant difference in revenue reported for the past quarter. | 1document-status
|
The company issued a press release announcing its new product lineup for the upcoming quarter, which includes a high-end smartphone and a budget-friendly tablet. | 0document-type
|
The company's financial report indicated a 10% increase in sales revenue compared to the same period last year, with a total of $1,234,567 in sales. | 0document-type
|
The extracted information from the scanned document includes a date, which is a significant detail in the context of the content. | 2document-date
|
The letter was signed by John Smith on January 10, 2020, and the meeting was scheduled for February 15, 2020. | 2document-date
|
The invoice date is printed at the bottom right corner of the page and can be identified by the words 'Invoice Date:'. The date is formatted as MM/DD/YYYY. | 2document-date
|
The document is a legal contract between John Doe and Jane Doe regarding the sale of a house located at 123 Main St, Anytown, USA. | 0document-type
|
The United States Federal Reserve System, known as the 'Fed', is a decentralized banking system in the United States. The system includes 12 regional Federal Reserve Banks that are responsible for regulating the nation's monetary policy and supervising and regulating banks. | 0document-type
|
This letter is addressed to John Smith and is dated 15th February 2022. The content mentions a payment of $500 for services rendered. | 2document-date
|
The letterhead indicates that the document was issued by a tax authority, and it mentions information regarding tax identification numbers and tax rates. | 0document-type
|
Dataset Card for my-distiset-334e5723
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/MengFoong/my-distiset-334e5723/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co./datasets/MengFoong/my-distiset-334e5723/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 1,
"text": "The extracted data from the document revealed a discrepancy between the company\u0027s financial records and the tax returns submitted to the government. The audit report indicated a significant difference in revenue reported for the past quarter."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("MengFoong/my-distiset-334e5723", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("MengFoong/my-distiset-334e5723")
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