What the data for this category looks like
Film and theater industry research report data mainly comes from professional box office statistics institutions, theater operation backends, and public reports from industry consulting agencies. The update rhythm primarily includes weekly box office details, monthly operational analyses, and quarterly industry research reports. Document structures typically include modules such as scheduled box office overviews, per-film box office and scheduling data, theater occupancy rates, user evaluation metrics, cost calculation models, and policy interpretations. Fields cover box office amounts, scheduling proportions, occupancy rates, number of viewers, film release cycles, and some reports include segmented data such as theater distribution and regional market shares.
What constraints do these characteristics impose on the document parsing and chunking link
Film and theater research reports contain mixed content of structured tables and unstructured text. The parsing process must adapt to both complete extraction of table data and semantic integrity of text paragraphs. High-frequency updated weekly box office data has a large number of repeated field structures. Chunking must avoid splitting individual box office detail rows, as this will destroy the interpretability of the data. Some reports include nested regional market tables. Parsing must retain the hierarchical structure of tables to prevent the loss of association between regions and their corresponding box office data after chunking. Long sections of industry analysis and short data rows are distributed mixedly. The chunking logic must balance semantic coherence and retrieval granularity, avoiding chunk results that only contain half a section of analysis or scattered data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Film and theater research reports contain a large number of structured box office and scheduling tables. Retaining table structure ensures complete readability of data during retrieval |
CHUNK_MAX_LENGTH | 800–1200 characters | Analysis sections of film and theater research reports are typically around 800 characters. This setting balances semantic integrity and retrieval granularity |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Quarterly research reports include nested regional market tables. Sufficient time is required to complete full parsing and avoid timeout errors |
TABLE_CHUNK_KEEP_STRUCTURE | Enabled | Prevents nested tables from being split into scattered data, retaining the association between regions and their corresponding box office data |
RECALL_CHUNK_OVERLAP | 50–100 characters | Semantic associations exist between analysis sections and data rows in research reports. Overlapping chunks improve coherence across chunk retrieval |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploads of quarterly research report collections, avoiding parsing failures caused by exceeding file size limits |
The parameter values provided on this page are common recommended starting points 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 against your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Parsed box office tables are split into scattered single-row data, making it impossible to associate regions with their corresponding box office values. Cause: The
TABLE_CHUNK_KEEP_STRUCTUREconfiguration is not enabled, causing structured tables to be split using plain text logic. - Phenomenon: A
504 Gateway Timeouterror is returned when parsing quarterly research reports. Cause: ThePARSE_FILE_TIMEOUT_SECONDSvalue is not adjusted to the duration required for nested table parsing. The default timeout period is insufficient to complete full parsing. - Phenomenon: Parsed chunks do not include attached descriptions or link text for images in research reports, making it impossible to match relevant content during retrieval. Cause: The
PARSE_IMAGE_CAPTIONconfiguration is not enabled, and alt text and link fields for images are not extracted.
How to confirm the configuration is correct
- Upload a test research report that includes structured box office tables, and check if the chunks in the parsing result retain the complete table row and column structure, with no scattered single-row splits.
- Upload a research report collection that includes multiple documents, confirm that the upload and parsing process does not trigger file size-related errors, and that all documents have completed parsing.
- Search for specific film box office keywords in the research report, check if the recalled chunks include complete scheduling and occupancy rate data associated with the film, with no semantic breaks.
- Check if the parsed chunks include alt text and link fields for images within the research report, confirming that image-related information has been extracted and included in the chunks.
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.