What this category's data looks like
Game research report data primarily comes from public research reports issued by securities research institutes, third-party public reports in the gaming industry, and operational data disclosed by game manufacturers. Update frequency follows the research report release cycle, typically monthly or quarterly. Temporary supplementary documents are released when new games launch, versions are updated, or major industry events occur. Most documents are in PDF or Excel format, and include sections such as report headers, table of contents, category analysis, user profiles, revenue forecasts, and more. They embed multi-column structured tables with fields including game name, launch date, DAU, ARPU, and others. Corresponding units for these fields are mostly person-times, yuan/month, and similar units.
What constraints these characteristics impose on document parsing and chunking
Embedded multi-column structured tables and long individual document lengths lead to incomplete table splitting and broken association of key fields during parsing. Differences in document formats across multiple sources, plus redundant header and footer information in some documents, interfere with effective content extraction. Volumes of temporarily released emergency research reports fluctuate widely, requiring the parsing process to support rapid adaptation. Structured field units are tightly tied to their meanings. Losing field context during chunking reduces the accuracy of subsequent retrieval.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_table_mode | Merge multi-column tables into coherent text | Game research reports contain embedded multi-column structured tables. Merging preserves the association between fields and avoids losing context during retrieval after splitting |
chunk_size | 1000–1200 characters | Balances content integrity for long paragraphs and multi-column tables, prevents individual chunks from being too fragmented or too long to impact retrieval |
chunk_overlap | 150–200 characters | Prevents table titles and core data from being split across different segments, ensures semantic completeness of single retrieval results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual game research reports have long length, so sufficient time must be reserved for full document parsing and chunking |
USE_MINERU_PDF_PARSE | Enabled | For PDF-format game research reports, this engine better identifies embedded tables and complex layouts, improving parsing accuracy |
enable_header_footer_removal | Enabled | Removes redundant information such as repeated headers and footers in research reports, reduces interference from invalid content on chunking |
The parameter values provided on this page are common recommendations used as a starting point for configuration. 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 Misconfigurations
- After uploading multi-column game operational data tables, the parsing result only retains the first two columns of data. Cause:
parse_table_modeis not configured to multi-column merge mode, and the default parsing logic only recognizes two columns of structured content. - After enabling enhanced PDF parsing, parsing progress stalls or an error occurs directly. Cause: Access permissions or network pathways for the Mineru API are not properly configured, preventing the engine from completing calls.
- In post-chunking retrieval results, core game metrics and corresponding game names are split across different segments. Cause:
chunk_overlapvalue is too small, failing to retain field association information across segments.
How to Confirm Configurations Are Correct
- Upload a single-page PDF sample of a game research report, check the parsed text blocks, confirm that multi-column table content is fully merged and there is no redundant header or footer information.
- Upload an Excel game operational table containing multiple columns of data, verify that the parsing result retains all field content.
- Configure different
chunk_sizeandchunk_overlapvalues, compare content integrity after chunking, and select the parameter combination that meets business requirements. - Run parsing tasks in a simulated production environment, confirm that the parsing timeout duration covers the processing time for the largest individual research report.
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.