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        <identifier>oai:figshare.com:article/33974086</identifier>
        <datestamp>2026-10-04T04:32:36Z</datestamp>
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          <dc:title>LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding</dc:title>
          <dc:creator>Zeyu Shan (25097293)</dc:creator>
          <dc:subject>Knowledge representation and reasoning</dc:subject>
          <dc:subject>LLM</dc:subject>
          <dc:subject>OCR</dc:subject>
          <dc:subject>Historical Document</dc:subject>
          <dc:subject>VQA</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;In this repo, we present &lt;b&gt;LongHisDoc&lt;/b&gt;, a pioneering benchmark specifically designed to evaluate the capabilities of LLMs and LVLMs in long-context historical document understanding tasks. This benchmark includes 101 historical documents across 10 categories, with 1,012 expert-annotated question-answer pairs covering four types, and the evidence for the questions is drawn from three modalities. Here, we provide all page screenshots of 101 PDF-formatted historical documents (./LongHisDoc_IMG), their OCR results (./OCR_res), and QA pairs (./LongHisDoc.json).&lt;/p&gt;</dc:description>
          <dc:date>2026-10-04T04:32:36Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33974086.v2</dc:identifier>
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