What the Data for This Category Looks Like
Financial report data for the paper manufacturing industry comes primarily from listed companies’ regular disclosure announcements, exchange public information platforms, and corporate investor relations sections. Updates follow quarterly, semi-annual, and annual cycles. Most documents are in PDF format, containing structured financial statements, production capacity and sales data, raw material consumption indicators, environmental compliance information, and other content. Most fields are quantitative indicators with clear units. For example, pulp and paper output is measured in ten thousand tons, comprehensive energy consumption per ton of paper is measured in kilograms of standard coal per ton, and revenue is measured in ten thousand RMB. Some historical data is repeated across consecutive reports.
Constraints for Document Parsing and Chunking
Quantitative fields in paper manufacturing financial reports are tightly bound to their units. Chunking must avoid splitting fields from their corresponding units, otherwise subsequent analysis cannot correctly interpret the indicator’s meaning. Financial reports include long tables and continuous paragraphs that span multiple pages. Fixed-length chunking can easily break table integrity and semantic coherence. Some financial reports embed production capacity, energy consumption, and other data charts as images, requiring additional OCR processing. Annual financial report PDFs are typically large, so the system must adapt to resource and time requirements for large-file parsing.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Annual financial report PDFs for the paper manufacturing industry are usually large, containing multiple pages of charts and tables, requiring adaptation to large-file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume financial reports requires processing multi-page OCR and table splitting. A longer timeout prevents mid-process interruptions |
chunk_size | 800–1200 characters | Paper manufacturing financial reports contain paragraphs with bound quantitative fields and units. This length preserves complete business semantics for a single entry |
chunk_overlap | 100–150 characters | Industry term associations spanning paragraphs exist in financial reports. Overlapping characters maintain contextual coherence |
enable_ocr | Enabled | Some financial reports present production capacity data as image tables. OCR can extract quantitative information from these |
split_mode | Semantic chunking | Structured statements and textual descriptions in paper manufacturing financial reports must be split according to business logic, avoiding fixed-length chunking that damages field integrity |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: An "offset out of range" error occurs when uploading a PDF file to 90% progress. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted. The file volume exceeds the system default upper limit, causing parsing interruptions. - Issue: Chunking results differ between files uploaded via API and those uploaded directly through the platform. Cause:
chunk_sizeandsplit_modeparameters were not unified. API calls and interface uploads used different chunking rules. - Issue: Quantitative fields and their units in financial reports are split into different chunks. Cause: Semantic chunking mode was not enabled. Only fixed-length chunking was used, breaking the field binding relationship.
How to Verify Proper Configuration
- Upload a single paper manufacturing financial report PDF with a volume close to the configured maximum size. Check that the upload progress completes fully with no error prompts.
- Upload the same financial report file through both the platform interface and API. Compare the semantic integrity and field binding of the chunking results.
- Select sections of the financial report that include image tables. Check that the parsed results include quantitative data from the images.
- Adjust chunking parameters, then verify that the chunking results retain complete business semantics and unit annotations.
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.