ParagraphSentinel

tags: Claim Analysis, Text Parsing, Anomaly Detection

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'ParagraphSentinel' dataset is designed for the task of identifying and classifying claims within a text paragraph. Each entry in the dataset includes a paragraph of text and a label that indicates whether a claim is present and the type of claim identified. The dataset is suitable for machine learning models focused on text parsing and anomaly detection to determine the presence and nature of assertions made within a body of text.

CSV Content Preview:

Paragraph,Label
"The company reported a 20% increase in sales for the fourth quarter, which outperformed market expectations.",Claim:Increase_in_Sales
"Despite the rain, the event continued without any significant disruptions.",NoClaim
"Studies have shown that the new medication can reduce symptoms in patients with condition X.",Claim:Medication_Efficacy
"The CEO's speech highlighted the company's commitment to sustainability.",NoClaim
"It's been observed that the investment in renewable energy pays off in the long term.",Claim:Investment_Outcome

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Identifying claims in a paragraph ':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Identifying+claims+in+a+paragraph+&dataset=ParagraphSentinel&tags=Claim+Analysis,+Text+Parsing,+Anomaly+Detection
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub