license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# SentenceAlignment

tags: correspondence, machine learning, contextual

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'SentenceAlignment' dataset comprises paragraphs and their associated claims that are expressed as exact sentences found within the paragraph. This dataset can be used for training machine learning models to identify and extract claims directly from text passages. It is relevant for natural language processing tasks where understanding the context and the precise claim made within a larger text body is crucial.

**CSV Content Preview:**

```
Title,Paragraph,Claims,Label
"Healthcare Effectiveness","The recent study shows that patients who received the new drug had a 30% reduction in symptoms.",The new drug reduces symptoms by 30%.,Claim_Confirmed
"Environmental Policy","Climate change policies must prioritize renewable energy sources to reduce carbon emissions effectively.",Prioritize renewable energy to combat climate change.,Claim_Supported
"Economic Development","The government's investment in technology sectors has led to a 20% increase in GDP over the past five years.",Government investment in tech increases GDP by 20%.,Claim_Confirmed
"Education Reform","A new curriculum focusing on critical thinking skills can improve student problem-solving abilities by 40%.",New curriculum enhances problem-solving skills by 40%.,Claim_Supported
"Public Safety","Implementing body cameras for police officers has resulted in a 15% decrease in complaints against officers.",Body cameras decrease police complaints by 15%.,Claim_Confirmed
```

In this dataset, the "Paragraph" column contains the text from which the claim is derived. The "Claims" column contains the exact sentence or sentences from the paragraph that represent the claim. The "Label" column provides a categorical label indicating whether the claim is confirmed by evidence (Claim_Confirmed), supported by general agreement or consensus (Claim_Supported), or not addressed in the context (Claim_NotAddressed). These labels are invented for this dataset and are used to classify the nature of the claim's presentation within the paragraph.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'paragraph, claims in paragarph with exact sentences as in the paragraph':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=paragraph,+claims+in+paragarph+with+exact+sentences+as+in+the+paragraph&dataset=SentenceAlignment&tags=correspondence,+machine+learning,+contextual
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
