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Herald Translator

Developed by FrenzyMath
Herald is a Lean 4 dataset annotated with natural language, mainly used for research in the fields of natural language processing and formal verification.
Downloads 1,837
Release Time : 2/28/2025

Model Overview

The Herald dataset combines natural language processing and formal verification, providing rich natural language annotation data for Lean 4 and supporting research and application development in related fields.

Model Features

Natural Language Annotation
The dataset provides rich natural language annotations, supporting combined research on natural language processing and formal verification.
Lean 4 Support
The dataset is specifically designed for Lean 4 and is suitable for the fields of formal verification and theorem proving.

Model Capabilities

Natural Language Processing
Formal Verification
Theorem Proving

Use Cases

Academic Research
Formal Verification Research
Use the Herald dataset for research on formal verification and theorem proving.
Natural Language Processing Research
Utilize the natural language annotations in the dataset for NLP model training and evaluation.
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