What the data for this category looks like
Penalty case data primarily originates from regulatory agency official announcements, industry self-regulatory organization public documents, and internal audit penalty records. The update cadence has no fixed schedule: concentrated releases follow major penalty events, with scattered single penalty announcements as daily content. Each single document typically includes fields such as penalty subject, illegal facts, penalty basis, penalty content (including fine amount, rectification deadline), and rectification requirements. Fine amounts are measured in ten thousand yuan units, and rectification deadlines use natural days or natural months. Most document formats are official PDF or Word files, with some regulatory announcements available as scanned image formats.
What constraints do these characteristics impose on the "document parsing and chunking" link
Scanned documents account for a notable share, so the parsing link must support OCR text restoration, otherwise valid business fields cannot be extracted. Most documents are official correspondence, with redundant information such as institution names and document numbers often present in headers and footers, requiring filtering of non-business content. Fields are highly correlated: illegal facts, corresponding penalty bases, and fine amounts are usually distributed consecutively. Chunking must retain contextual associations to avoid splitting that breaks semantic integrity. Updates have no fixed cycle, so incremental parsing is needed to reduce repeated calculations, and accurate identification of file update status is required to avoid reprocessing old files.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | Enabled | Penalty cases often include scanned regulatory announcements, requiring OCR to restore editable text |
PARSE_SEGMENT_LENGTH | 800–1200 characters | Penalty cases contain closely linked illegal facts and penalty basis content; this length preserves semantic integrity |
PARSE_KEEP_HEADER_FOOTER | Disabled | Headers and footers of official announcements mostly contain non-business information such as institution names and document numbers, so they do not need to be retained |
UPLOAD_FILE_MAX_SIZE | 500 MB | The typical size of a single penalty case compilation file does not exceed this threshold |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large file parsing requires sufficient time to process OCR and format restoration workflows |
PARSE_INCREMENTAL_SYNC | Enabled | Penalty case updates have no fixed cycle; incremental parsing reduces repeated calculation costs |
The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: After uploading a file in a server environment, the document parsing node returns a 404 error, while parsing works normally in a local environment. Cause: The server has not correctly mounted the file storage directory, or the file read permission of the parsing node has not been enabled, making it impossible to access the uploaded file.
- Issue: Qwen3-14B deployed using Vllm 0.10 fails to extract fine amounts and rectification deadline fields from penalty cases, while Qwen2.5-14B can extract them normally. Cause: Chunking of penalty cases retains contextual associations, but Qwen3-14B has insufficient adaptation to long-text context windows, leading to failed cross-chunk field extraction.
- Issue: Files cannot be actively pushed from external systems to complete parsing chunking. Cause: The callback interface for parsing triggered by external API push has not been configured, or the file path pushed has not been recognized as a valid read path by the parsing node.
How to Verify the Configuration Is Correct
- Upload a scanned penalty announcement PDF, check whether the parsing result completely restores core fields such as illegal facts and penalty content, to confirm that the OCR configuration is effective.
- Upload multiple penalty case files in different formats (Word, PDF), and check whether the parsed chunks retain the semantic relevance of the text without obvious content breaks.
- Configure the API interface for external systems to push files, trigger a parsing task, and confirm that the parsing node can normally receive and process the pushed files.
- View parsing logs to confirm that there are no abnormal issues with file upload paths and storage directory permission configurations, and no 404-related error records.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.