ChartNet-Bench: A Benchmark for Faithful Multimodal Chart Understanding
收藏DataCite Commons2026-05-06 更新2026-05-18 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/3FH3VG
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资源简介：
ChartNet-Bench is a benchmark dataset for faithful multimodal chart understanding. It contains 3,807 chart images, including 2,000 synthetic charts and 1,807 real-world charts. The benchmark supports chart-to-CSV extraction, chart summarization, hallucination detection/correction, and evidence-grounded evaluation. All instances are human-verified and designed to evaluate whether vision-language models can recover, summarize, and verify chart information faithfully.
提供机构：
Harvard Dataverse
创建时间：
2026-05-04
