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
---

# CorroborativeFactsDataset

tags: regression, fact-checking, corroboration

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

**Dataset Description:**

The 'CorroborativeFactsDataset' is a curated collection of text excerpts from legal documents, court case summaries, and verified legal articles that have been labeled for the purpose of training machine learning models in the field of legal fact-checking and corroboration. The dataset aims to assist ML practitioners in developing algorithms capable of determining the veracity of statements made within legal contexts by cross-referencing factual information with established legal precedents and statutes.

**CSV Content Preview:**

```
case_id,text,label
001,"The defendant was seen at the scene of the crime at approximately 8 PM according to witness A.",true
002,"There are no recorded statements from the defendant during the trial.",false
003,"A key piece of evidence was submitted as per the standard legal procedure.",true
004,"The statute cited in the argument does not apply to the current case.",false
005,"The judge dismissed the case due to lack of evidence.",true
```

**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 'corroboration-law':

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