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English(EN) KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory

新孟加拉语农业数据集KrishokChat发布,用于低资源咨询

研究人员开发了KrishokChat,这是一个新的数据集和基准,旨在改善低资源环境下孟加拉语的农业咨询服务。该数据集包含超过145,000个问答对,基于129本农业手册,并对所有信息的引文来源进行了验证。还创建了一个包含1,001个真实农民查询的农民基准,以评估模型性能。使用Gemma-4-E2B进行的初步测试表明,虽然KrishokChat改进了结构化格式,但模型在精确的化学品剂量泛化方面仍面临挑战,这表明其主要用途是检索增强生成。 AI

影响 增强了AI在孟加拉语农业咨询方面的能力,特别是对于检索增强生成系统。

排序理由 发布了一个针对特定领域(农业咨询)和低资源语言的新数据集和基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新孟加拉语农业数据集KrishokChat发布,用于低资源咨询

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发布了一个针对特定领域(农业咨询)和低资源语言的新数据集和基准。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Khan Raiyan Ibne Reza, Omar Ibne Shahid ·

    KrishokChat:一个基于引文的孟加拉语农业咨询数据集和基准

    arXiv:2606.29243v1 Announce Type: new Abstract: We present KrishokChat, the first citation-grounded Bengali agricultural instruction-tuning dataset for crop advisory in low-resource settings. We establish a foundation of 290 hierarchical Knowledge Nodes, extracting disease sympto…