Dictionary Management
Feature Overview
Dictionary management is the core standardization module of the IO data platform, uniformly maintaining various dictionaries such as skills, objects, targets, adverbials, annotation tags, and data tags. By establishing unified naming conventions and standards, it ensures different projects follow consistent standards, supports multilingual management and batch operations, providing standardized foundation support for the entire annotation workflow.
Main Features
Dictionary Type Management
Skills Dictionary
Manages definitions and classifications of all annotation skills, including skill names, descriptions, usage scenarios, difficulty levels and other information. Through skills dictionary, ensure team members have consistent understanding of skills and reduce ambiguity during annotation processes.
Objects Dictionary
Maintains various object types involved in annotation, such as items, people, scenes, etc. Objects dictionary helps annotators quickly identify and classify different annotation targets, improving annotation efficiency and accuracy.
Tags Dictionary
Unified management of annotation tags and data tags, including tag names, colors, hierarchical relationships, etc. Through tags dictionary, ensure consistency and standardization of tag usage.
Multilingual Support
Internationalization Management
Supports multilingual dictionary management, including Chinese, English, etc. Administrators can configure corresponding dictionary content for different language environments, ensuring smooth progress of international projects.
Translation Management
Provides translation functionality for dictionary content, supporting batch translation and manual proofreading. Through translation management, ensure accurate and consistent dictionary content across different language versions.
Batch Operation Functions
Batch Import
Supports batch import of dictionary data from Excel, CSV and other files, greatly improving dictionary maintenance efficiency. The import process automatically performs data validation to ensure data accuracy.
Batch Edit
Provides batch editing functionality, allowing simultaneous modification of multiple dictionary items, supporting find and replace, batch updates and other operations. These functions make dictionary maintenance work more efficient.
Batch Export
Supports exporting dictionary data in various formats, facilitating backup, sharing or integration with other systems. Exported data maintains complete structure and format.
Version Control
Change History
Records all change history of dictionaries, including modification time, modifier, modification content, etc. Through change history, track the evolution process of dictionaries.
Version Rollback
Supports rolling back dictionaries to historical versions. When current version has problems, can quickly restore to previous stable versions.
Change Approval
Provides change approval workflow. Important dictionary modifications need approval before taking effect, ensuring standardization and security of dictionary changes.
Applicable Roles
Administrator
As a platform administrator, you can establish and maintain dictionary standards, manage all types of dictionary content, configure multilingual support, and monitor dictionary usage. These functions ensure the platform's standardization system operates stably.
Project Manager
Project managers can manage dictionary content related to projects, ensure project teams use unified annotation standards, and adjust dictionary configuration according to project needs. Through dictionary management, project managers can effectively control project annotation quality.
Annotator
Annotators can reference unified dictionaries during annotation processes, reduce annotation ambiguity, and improve annotation efficiency. Dictionaries provide standardized references for annotators, ensuring consistency and accuracy of annotation results.
Reviewer
Reviewers can conduct reviews based on unified dictionary standards, ensure annotation results meet specification requirements. Dictionaries provide clear review basis for reviewers, improving review efficiency and accuracy.