[{"@type":"PropertyValue","name":"Data size","value":"10,000 sets, including 5,000 chinese forms and 5,000 english forms."},{"@type":"PropertyValue","name":"Data resolution","value":"based on the clear and visible content of the table."},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg and other common formats, the brief structured description annotation file format is .txt, the complex structured description&QA annotation file format is .md (markdown)"},{"@type":"PropertyValue","name":"Annotation Contents","value":"annotate structured descriptions and Q&A annotations for the form content. Simple structured descriptions include detailed descriptions and summaries of the form content. Complex structured descriptions are further refined based on simple descriptions. Q&A consists of two parts"},{"@type":"PropertyValue","name":"Accuracy","value":"Regarding the content of the image description and QA, if the description objectively and accurately reflects the form content, without obvious textual or logical errors, and does not contain sensitive content, it is considered as correctly labeled.With punctuation marks as intervals, the proportion of correctly labeled sentences is not less than 95%."}]
{"id":1524,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"226","type1str":null,"type2":"254","type2str":null,"dataname":"10,000 Sets - Form Image Description&QA Data","datazy":[{"title":"Data size","content":"10,000 sets, including 5,000 chinese forms and 5,000 english forms."},{"title":"Data resolution","content":"based on the clear and visible content of the table."},{"title":"Data format","content":"the image data format is .jpg and other common formats, the brief structured description annotation file format is .txt, the complex structured description&QA annotation file format is .md (markdown)"},{"title":"Annotation Contents","content":"annotate structured descriptions and Q&A annotations for the form content. Simple structured descriptions include detailed descriptions and summaries of the form content. Complex structured descriptions are further refined based on simple descriptions. Q&A consists of two parts"},{"title":"Accuracy","content":"Regarding the content of the image description and QA, if the description objectively and accurately reflects the form content, without obvious textual or logical errors, and does not contain sensitive content, it is considered as correctly labeled.With punctuation marks as intervals, the proportion of correctly labeled sentences is not less than 95%."}],"datatag":"Form,Image description,VQA","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":[],"officialSummary":"10,000 Sets - Form Image Description&QA Data, including 5,000 chinese forms and 5,000 english forms, annotates structured descriptions and Q&A annotations for the for mcontent. Simple structured descriptions include detailed descriptions and summaries of the form content. Complex structured descriptions are further refined based on simple descriptions. Q&A consists of two parts.","dataexampl":null,"datakeyword":["Form","Image description","VQA"],"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":"10,000 Sets - Form Image Description&QA Data","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"]}
https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
[]
10,000 Sets - Form Image Description&QA Data
Form
Image description
VQA
10,000 Sets - Form Image Description&QA Data, including 5,000 chinese forms and 5,000 english forms, annotates structured descriptions and Q&A annotations for the for mcontent. Simple structured descriptions include detailed descriptions and summaries of the form content. Complex structured descriptions are further refined based on simple descriptions. Q&A consists of two parts.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
![Specifications]()
Specifications
Data size
10,000 sets, including 5,000 chinese forms and 5,000 english forms.
Data resolution
based on the clear and visible content of the table.
Data format
the image data format is .jpg and other common formats, the brief structured description annotation file format is .txt, the complex structured description&QA annotation file format is .md (markdown)
Annotation Contents
annotate structured descriptions and Q&A annotations for the form content. Simple structured descriptions include detailed descriptions and summaries of the form content. Complex structured descriptions are further refined based on simple descriptions. Q&A consists of two parts
Accuracy
Regarding the content of the image description and QA, if the description objectively and accurately reflects the form content, without obvious textual or logical errors, and does not contain sensitive content, it is considered as correctly labeled.With punctuation marks as intervals, the proportion of correctly labeled sentences is not less than 95%.
![Sample]()
Sample
![Recommended Datasets]()
Recommended Dataset
Tell Us Your Special Needs
Dataset FAQs
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.
b28e6218-2be3-411d-8f50-5322691e3247
Specifications
Sample
Recommended Dataset
