Datasets:
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---
license: apache-2.0
task_categories:
- question-answering
tags:
- legal
- intellectual property
configs:
- config_name: english
data_files:
- split: train
path: "english.json"
- config_name: patent_chinese
data_files:
- split: train
path: "patent.json"
- config_name: relation_chinese
data_files:
- split: train
path: "relation.json"
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
IPEval is a pioneering bilingual Intellectual Property (IP) agency consultation evaluation benchmark, meticulously crafted to assess the competencies of Large Language Models (LLMs) in the intricate domain of intellectual property. This benchmark is the first of its kind, encompassing a diverse spectrum of 2,657 multiple-choice questions that are intricately divided across four major capability dimensions: creation, application, protection, and management. More details can be found in our paper, [github](https://github.com/Mathsion2/IPEval).
and [website](https://ipeval.github.io/).
## Dataset Details
### Dataset Description
- **Language(s) (NLP):** [English and Chinese]
- **License:** [apache-2.0]
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Repository:** [Github](https://github.com/Mathsion2/IPEval)
- **Paper:** []()
- **Website:** [Website](https://ipeval.github.io/)
More details please see our github. |