[{"@type":"PropertyValue","name":"Data content","value":"Agent trajectory data generated by OpenClaw"},{"@type":"PropertyValue","name":"Category","value":"Deep Search, Data Analysis, Industry Research"},{"@type":"PropertyValue","name":"Data volume","value":"5300"},{"@type":"PropertyValue","name":"Model","value":"Anthropic Claude Opus 4.8"},{"@type":"PropertyValue","name":"Agent","value":"OpenClaw"},{"@type":"PropertyValue","name":"Format","value":"JSONL"},{"@type":"PropertyValue","name":"Languages","value":"English, Korean"}]
{"id":2185,"datatype":"1","titleimg":"https://storage-product.datatang.com/damp/product/samplePresentation_ipad/20260708174633/industry-research-en1.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=mLwYGYd9FTTOMkdTsJ8Ouy4vU7M%3D","type1":"226","type1str":null,"type2":"228","type2str":null,"dataname":"Agent Trajectory Dataset for Tool-Use Training and AI Agent Evaluation","datazy":[{"title":"Data content","content":"Agent trajectory data generated by OpenClaw"},{"title":"Category","content":"Deep Search, Data Analysis, Industry Research"},{"title":"Data volume","content":"5300"},{"title":"Model","content":"Anthropic Claude Opus 4.8"},{"title":"Agent","content":"OpenClaw"},{"title":"Format","content":"JSONL"},{"title":"Languages","content":"English, Korean"}],"datatag":"agent,trajectory","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":null,"samplePresentation":[{"name":"data-analyst-en1.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/data-analyst-en1.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=5sXlnupLY45ROb2ew66wkUZzLYQ%3D","intro":"","size":161748,"progress":100,"type":"jpg"},{"name":"data-analyst-en2.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/data-analyst-en2.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=ixjQK1Q6bDFxE2ELA4CB%2BiZ9ruw%3D","intro":"","size":202429,"progress":100,"type":"jpg"},{"name":"deepsearch-ko.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/deepsearch-ko.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=dAurOfH9KTWpqh%2BieuWLzrjchSw%3D","intro":"","size":163601,"progress":100,"type":"jpg"}],"officialSummary":"This dataset covers office-based scenarios such as in-depth searches, data analysis, and industry research, encompassing complete multi-turn reasoning trajectories and tool-calling chains. It is designed to support the analysis of agent planning capabilities, research into tool selection strategies, and quality assessment, providing a structured benchmark for agent training and evaluation.","dataexampl":null,"datakeyword":["ai agent dataset","agent training dataset","agent trajectory dataset","llm agent dataset","tool use dataset","agent evaluation datase"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Type","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"llm","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN,JP\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"Agent Trajectory Dataset","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"],"firstList":[{"name":"industry-research-en1.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/industry-research-en1.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=b3ck5%2B6lLqQV4cmq8xf33KfvXiE%3D","intro":"","size":149837,"progress":100,"type":"jpg"},{"name":"industry-research-en2.png","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/industry-research-en2.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=qkWZfDL9GYzWZ6k3TMA%2FQz77iU4%3D","intro":"","size":171256,"progress":100,"type":"jpg"}]}
https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
[{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/data-analyst-en1.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=5sXlnupLY45ROb2ew66wkUZzLYQ%3D"},{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/data-analyst-en2.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=ixjQK1Q6bDFxE2ELA4CB%2BiZ9ruw%3D"},{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/deepsearch-ko.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=dAurOfH9KTWpqh%2BieuWLzrjchSw%3D"},{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/industry-research-en1.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=b3ck5%2B6lLqQV4cmq8xf33KfvXiE%3D"},{"@type":"ImageObject","embedUrl":"https://storage-product.datatang.com/damp/product/sample_presentation/20260709092713/industry-research-en2.png?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=qkWZfDL9GYzWZ6k3TMA%2FQz77iU4%3D"}]
Agent Trajectory Dataset for Tool-Use Training and AI Agent Evaluation
ai agent dataset
agent training dataset
agent trajectory dataset
llm agent dataset
tool use dataset
agent evaluation datase
This dataset covers office-based scenarios such as in-depth searches, data analysis, and industry research, encompassing complete multi-turn reasoning trajectories and tool-calling chains. It is designed to support the analysis of agent planning capabilities, research into tool selection strategies, and quality assessment, providing a structured benchmark for agent training and evaluation.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Data content
Agent trajectory data generated by OpenClaw
Category
Deep Search, Data Analysis, Industry Research
Model
Anthropic Claude Opus 4.8
![Sample]()
Sample
![Recommended Datasets]()
Recommended Dataset
Tell Us Your Special Needs

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.
8f47f44a-3f21-4e4d-9c0a-f416fb63659b