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

# FactualFinder

tags: fact-checking, extract-evidence, context-relevance

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

**Dataset Description:** The 'FactualFinder' dataset comprises paragraphs of text along with an assessment of whether evidence of a specific claim or statement exists within the text. Each row contains a context (paragraph), a label indicating the presence (1) or absence (0) of evidence, and a list of extracted evidence items that support or refute the claim.


**CSV Content Preview:**

```

"Paragraph","Label","Extracted Evidences"

"In recent years, the automotive industry has seen a significant shift towards electric vehicles. This change is primarily driven by environmental concerns and advancements in battery technology.","1","Environmental concerns, advancements in battery technology"

"Several countries have implemented tax incentives for electric vehicle purchases. For instance, Norway has one of the highest per capita rates of electric car ownership.","1","Tax incentives for electric vehicle purchases, Norway's per capita electric car ownership"

"The rise in electric vehicle popularity has also prompted major automakers to invest heavily in research and development.","1","Automakers investing in research and development"

"Despite the push for electric vehicles, some consumers remain skeptical about their range and charging infrastructure.","0","Consumer skepticism, range, charging infrastructure"

"Fact-checking in the era of misinformation has become more critical than ever. Ensuring that claims made on social media are backed by credible evidence is a significant challenge.","1","Claims on social media, credible evidence, fact-checking challenge"

```

**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 '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=FactualFinder&tags=fact-checking,+extract-evidence,+context-relevance
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
