Datasets:
license: apache-2.0
task_categories:
- question-answering
tags:
- finance
- insurance
size_categories:
- 10K<n<100K
language:
- en
INS-MMBench Dataset
INS-MMBench is the first comprehensive LVLMs benchmark for the insurance domain, proposed in our paper:
INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
📄Paper Link | 🐙GitHub Repository
Overview
INS-MMBench is the first comprehensive LVLMs benchmark for the insurance domain, it covers four representative insurance types: auto, property, health, and agricultural insurance and key insurance stages such as risk underwriting, risk monitoring and claim processing. INS-MMBench consists of three layers task:
- Fundamental task, which focuses on the understanding of individual insurance-related visual elements;
- Meta-task, which involves the compositional understanding of multiple insurance-related visual elements;
- Scenario task, which pertains to real-world insurance tasks requiring multi-step reasoning and decision-making.
INS-MMBench includes a total of 12,052 images, 10,372 thoroughly designed questions (including multiple-choice visual questions and free-text visual questions), comprehensively covering 5 scenario tasks, 12 meta-tasks and 22 fundamental tasks.
This dataset includes six TSV files, each corresponding to a specific task described in our paper:
| File Name | Task Type |
|---|---|
INS_MMBench_fundamental.tsv |
Fundamental Task |
multi_step_claim.tsv |
Scenario Task - Auto Insurance Claim Processing |
multi_step_liability.tsv |
Scenario Task - Auto Insurance Accident Liability Determination |
multi_step_health.tsv |
Scenario Task - Health Insurance Risk Assessment |
multi_step_property.tsv |
Scenario Task - Property Insurance Risk Management |
multi_step_agri.tsv |
Scenario Task - Agricultural Insurance Claim Processing |