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license: apache-2.0 |
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task_categories: |
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- question-answering |
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tags: |
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- finance |
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- insurance |
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size_categories: |
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- 10K<n<100K |
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language: |
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- en |
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--- |
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# INS-MMBench Dataset |
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**INS-MMBench** is the first comprehensive LVLMs benchmark for the insurance domain, proposed in our paper: |
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> **INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance** |
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[📄Paper Link](https://arxiv.org/pdf/2406.09105) | [🐙GitHub Repository](https://github.com/FDU-INS/INS-MMBench) |
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## Overview |
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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: |
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- Fundamental task, which focuses on the understanding of individual insurance-related visual elements; |
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- Meta-task, which involves the compositional understanding of multiple insurance-related visual elements; |
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- Scenario task, which pertains to real-world insurance tasks requiring multi-step reasoning and decision-making. |
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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. |
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This dataset includes **six TSV files**, each corresponding to a specific task described in our paper: |
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| File Name | Task Type | |
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|-----------|-----------| |
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| `INS_MMBench_fundamental.tsv` | Fundamental Task | |
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| `multi_step_claim.tsv` | Scenario Task - Auto Insurance Claim Processing | |
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| `multi_step_liability.tsv` | Scenario Task - Auto Insurance Accident Liability Determination | |
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| `multi_step_health.tsv` | Scenario Task - Health Insurance Risk Assessment | |
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| `multi_step_property.tsv` | Scenario Task - Property Insurance Risk Management | |
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| `multi_step_agri.tsv` | Scenario Task - Agricultural Insurance Claim Processing | |
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--- |
