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Home > All Category Datasets > LLM Datasets > 122,147 Logical Reasoning Dataset for LLM Training and Evaluation

122,147 Logical Reasoning Dataset for LLM Training and Evaluation

reasoning dataset
logical reasoning dataset
llm reasoning dataset
ai reasoning dataset
question answering dataset
llm training dataset

This dataset comprises 122,147 logical reasoning questions, covering a wide range of types such as diagrammatic reasoning, IQ tests, logic puzzles, visuospatial reasoning, knowledge-based image inference, and detective-style reasoning problems. It includes question text, answers, and detailed explanations, aiming to enhance the logical reasoning capabilities of large language models. Throughout the entire process of data collection, storage, and use, we strictly adhere to data protection regulations and privacy laws—including GDPR, CCPA, and PIPL—to ensure that users' privacy rights and legitimate interests are fully protected.

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SpecificationsSpecifications
Date Size
122,147 test questions, each with an annotated document
Question Types
pattern reasoning, IQ test questions, logical reasoning, visual puzzles, knowledge-based image reasoning, etc
Diversity
multiple question types and categories
Data Format
images in .jpg, .jpeg, or .png; annotations in .json.
Language
Chinese
Annotation Content
question transcription, answer, and analysis.
Sample 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.

Can Nexdata customize LLM datasets based on our specific model and requirements?

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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