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https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
[]
Long Context Reasoning Dataset – Multi-Language (EN/CH/KR) Benchmark for LLM Evaluation
long context dataset
long context reasoning dataset
LLM long context dataset
long document QA dataset
multi hop reasoning dataset
reasoning dataset for LLM
multi step reasoning dataset
This dataset is designed to tackle the core weaknesses of today's large language models when it comes to processing long documents and performing complex reasoning. It consists of 7,500 high-quality training examples across three languages—Chinese, English, and Korean. Each instance is built around a long-text passage and includes questions that require synthesizing information across paragraphs and documents, while following multi-step logical chains. The goal is to offer a thorough and rigorous evaluation framework that tests a model's ability to perceive long-range context, retrieve relevant information, construct sound reasoning paths, and trace evidence back to its source.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
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Long-document Multi-hop Reasoning QA Dataset
Data Fields
id、context、file_count、question、answer、reasoning_chain、supporting_evidence、hops
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Sample
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