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https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
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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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Content
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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What can Nexdata’s LLM datasets be used for?
Nexdata’s LLM datasets can support a wide range of large language model development tasks, including pre-training, supervised fine-tuning, instruction tuning, preference optimization, evaluation, and domain-specific model development. Depending on the dataset, data may include text, instruction-response pairs, conversations, question-answer pairs, reasoning data, and other structured or annotated content.
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Yes. If our off-the-shelf LLM datasets do not fully match your requirements, Nexdata provides flexible custom data collection, generation, annotation, curation, and quality control services. We can customize datasets based on your target languages, domains, use cases, data formats, task types, volume, and quality requirements to support specific LLM training and evaluation projects.
Can Nexdata provide large-scale and high-quality data for LLM development?
Yes. Nexdata can support large-scale LLM data projects across multiple languages, domains, and data types. Our data services include multi-stage quality control, data cleaning, annotation, validation, and curation to help ensure consistency and usability. For projects requiring data beyond our existing datasets, our customized data services can be scaled according to the required volume, specifications, and delivery schedule.
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