What this category’s data looks like
Text annotation project data primarily comes from customer corpora, annotation platforms, vocabularies, and quality inspection sampling results. Daily associated documents include annotation specifications, sample packages, quality inspection reports, and problem feedback forms. Data updates follow a daily schedule or per annotation batch. Core fields include annotation text content, entity labels, intent classification, quality inspection results, and feedback records. This category focuses on semantic boundary, entity, and intent recognition. It differs from image annotation projects, which require visual feature labeling. Key time-consuming steps in data processing include label boundary explanation, difficult sample arbitration, and consistency spot checks. Data anomalies may lead to model training bias, rework, or delayed delivery.
Constraints for HTTP interfaces and external systems
Text annotation project data has scattered sources and diverse types, including customer corpora, annotation platform data, vocabularies, and quality inspection sampling results. HTTP interfaces must support batch pulling of multiple data sources and field mapping. They must adapt to format conversion for multiple document types such as annotation specifications and quality inspection reports. Data updates occur daily or per annotation batch. Interfaces must support scheduled or batch-triggered call logic to avoid excessive data volume in single requests. Data anomalies may lead to model training bias, rework, or delayed delivery. Interfaces must include built-in parameter verification and failure retry mechanisms to ensure the accuracy and integrity of annotation data.
Configuration guidelines
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer <API key assigned by the annotation platform> | Used for interface identity authentication, ensures call permission compliance, and prevents unauthorized access to annotation data |
variables | {"target_fields": ["text_content", "entity_label", "quality_result"]} | Specifies required core business fields, adapts to the data structure of text annotation projects, and reduces invalid data transmission |
responseData | Return only structured core annotation fields | Filters redundant data, reduces interface transmission load, and improves call efficiency |
| Request timeout | 300-600 seconds | Adapts to the processing duration of batch annotation text, avoids request interruption due to mid-process timeout |
| Batch request limit | 1000 items per request | Controls data volume per single request, prevents interface overload or response timeout |
| Number of failure retries | 2-3 times | Addresses temporary network fluctuations, ensures success rate of annotation data pulling |
Three common configuration errors
- Calling the interface returns a 200 status code, but the response body shows
no data provided. The cause is incorrect configuration of theresponseDataparameter, failure to specify required core annotation fields, or annotation data for the target batch has not completed updating. - Frequent interface call timeouts occur. The cause is failure to adjust the request timeout configuration, using default durations that do not adapt to batch annotation text processing workflows.
- Entity label or quality inspection result fields returned by the interface are empty. The cause is failure to configure target field mapping in the
variablesparameter, or vocabulary and sampling quality inspection data from the annotation platform has not completed synchronization.
How to verify correct configuration
- Call the test interface, check if the response body includes preset core annotation fields, and that field content matches locally stored annotation samples.
- Simulate a batch request, verify that the volume of data returned by the interface matches the configured batch limit, with no obvious truncation or omission.
- Trigger a temporary network fluctuation test, confirm that the interface automatically retries according to the configured retry count, with no duplicate submissions or data loss.
- Verify identity credential configuration, confirm that a valid
Authorizationparameter is included in calls, with no permission-related error messages returned.
The values provided 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.