LlamaIndex 的 ParseBench 月下载超 2.6 万，已测评 147 个文档解析模型
LlamaIndex 把文档解析基准 ParseBench 开放出来，147 个模型、2.6 万月下载，选文档处理方案前可以拿来对照各家模型。
LlamaIndex 创始人 Jerry Liu 介绍其文档解析基准 ParseBench 的近况：Hugging Face 上月下载量超 2.6 万，累计测评 147 个模型，并被 Cohere、Mistral 等实验室引用。ParseBench 从表格、阅读顺序、版面等多个维度评估文档处理能力，最近也用于追踪 Gemini 4 Argon 和 Muse Spark/Wonder 等前沿模型的表现。团队同时把该基准用于改进自家产品 LlamaParse。
Benchmarks are becoming the core competency of any company. Our company mission is to build the world’s best models for document processing. This also means that we have to build the world’s best benchmarks for doc parsing and extraction. It’s been incredible to see the adoption of ParseBench the past few months. We have 26k+ monthly downloads on Hugging Face, 147+ models benchmarked, and has been cited by other labs in the space (Cohere, Mistral, etc.). We use this as a benchmark to push our own internal capabilities within LlamaParse, and also to track the advancement of recent frontier/open-weight models (most recently, Gemini 4 Argon and Muse Spark/Wonder). We’re happy to help apply this to any company looking at evaluating document processing solutions. Even if you don’t use our docs, you may find our metrics for evaluating various dimensions (e.g. tables, reading order, layout) useful. Check out ParseBench: parsebench.ai Hugging Face: huggingface.co/datasets/llama… 💬 7 🔄 0 ❤️ 11 👀 995 📊 9 ⚡
