What data for this category looks like
Text annotation project data typically originates from customer corpora, annotation platforms, vocabularies, and quality inspection sampling results. Daily output documents include annotation specifications, sample packages, quality inspection reports, and problem feedback forms. Data updates follow a daily or per-batch annotation task schedule. Core fields include text content to be annotated, entity types, intent tags, annotator identifiers, quality inspection results, and sampling batch numbers. There are no unified fixed units; values adjust based on the annotation task type.
What constraints these characteristics impose on the forms and interactions link
Scattered data sources and frequent updates for text annotation projects require the forms and interactions link to support multi-source data import and batch configuration. Core fields include non-standardized tag items such as semantic boundaries, entities, and intents. These require support for custom field grouping and permission allocation. Annotation errors can lead to model training bias, rework, or delayed delivery. The interaction link must add pre-validation and exception prompts. The system must also adapt to operation permissions for different roles such as annotation teams and quality inspectors, to prevent accidental modification of core annotation rules.
How to configure settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from the text annotation project as required inputs; actual fields are determined by the task | This node collects user input; missing required items require checking interaction status to avoid subsequent nodes failing to receive complete input |
User Selection Node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection; querying and filtering records related to text annotation projects must be implemented by subsequent interfaces or external systems |
| Post-Submission Field Passing | Test example: Prepare 10 text annotation project input samples, covering complete filling, missing required items, and cancellation operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined based on actual tasks |
| External Implementation Item: Batch Import Configuration | Must be implemented separately by external systems; CSV format import is implemented by external business systems or subsequent nodes, and single import scale is defined externally | Refer to the actual scale of annotation batches; configuration is determined by external business systems or subsequent nodes |
| External Implementation Item: Permission Allocation Rules | Must be implemented separately by external systems; external business systems or subsequent nodes divide editing permissions by role | Clarify operation boundaries for each role to avoid accidental data modification |
| External Implementation Item: Exception Prompt Trigger | Must be implemented separately by external systems; external business systems or subsequent nodes implement prompt logic when input content is empty or tags exceed optional range; prompt copy is determined through actual testing | Reduce invalid submissions and lower subsequent rework risks |
Three Common Mistakes
- When calling the interaction link via API after deployment, user input prompts are not triggered. The cause is that the trigger logic of the
formInputnode is not correctly configured in the workflow; interactions must follow workflow node execution rules. - The form input component cannot receive dynamic variable inputs, making it impossible to automatically fill in annotation specifications or sample metadata. The cause is that the variable passing logic of the
formInputnode is not configured in the workflow; dynamic variables must be implemented through workflow parameter binding. - The input box cannot upload annotation sample files. The cause is that file upload related logic is not implemented by external business systems or subsequent nodes; currently only plain text input is supported.
How to Confirm Proper Configuration
- Initiate a test API call to verify whether the interaction link pops up the input interface for form input or user selection components.
- Upload a CSV sample package that meets the format via an external business system or subsequent node, confirm that the import logic can correctly parse and load data.
- Switch between different role accounts via an external business system or subsequent node, verify whether permission rules restrict editing operations by unauthorized users.
- Input text that exceeds the preset length via an external business system or subsequent node, confirm that the corresponding exception prompt is triggered.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.