What data in this category looks like
This category’s daily documents include four types: transcription specifications, audio lists, quality inspection reports, and speaker annotation forms. Data sources are audio files, annotation platforms, specialized term lists, and spot-check samples. Updates occur daily or per annotation batch. Transcription specifications are structured text with specialized term lists. Audio lists are table files containing audio paths and durations. Quality inspection reports include segment annotations and correction opinions. Speaker annotation forms record speaker IDs and their corresponding roles. Document structures vary significantly, with some files containing tables, annotations, and metadata fields.
What constraints these characteristics impose on the document parsing and chunking link
Structural differences across the four document types require the parsing process to adapt to mixed formats of text, tables, and annotated content. It must avoid omitting specialized terms and speaker-associated information. Data updated daily or per batch requires stable batch parsing capabilities. This prevents task interruptions caused by single-processing timeouts. The core steps of specialized term proofreading and speaker differentiation require retaining contextual associations during chunking. Splitting the same speaker’s transcription segments or specialized terms will cause subsequent training deviations and rework.
How to set configurations
These settings apply to FastGPT v4.17.0. The details are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents includes specialized term lists and long transcription segments. This range retains context and avoids splitting specialized terms and speaker-associated content |
chunkSplitter | By paragraph plus semantic boundaries | Adapts to mixed-format documents such as transcription specifications and quality inspection reports. It retains contextual associations of speaker annotations and specialized terms |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Reserves sufficient parsing time when batch processing complex documents such as audio lists and quality inspection reports. This avoids mid-process timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for batch spot-check samples and long audio metadata files in this category |
customPdfParse | Enabled | Accurately extracts structured content from annotated and tabulated quality inspection reports and transcription specifications |
chunkSettingMode | Manual mode | Adapts to format differences across the four document types. It allows flexible adjustment of chunking rules to match business needs |
Three common errors
- Symptom: Parsing interrupts mid-process during batch uploads of multiple transcription specification documents. Parsing progress cannot be restored after restarting Docker. Cause: A reasonable
PARSE_FILE_TIMEOUT_SECONDSvalue was not configured. The task queue did not automatically recover after timeout. - Symptom: After uploading an audio list file via the dialog box, the interface shows an unparsed status. No error logs appear in the background. Cause:
customPdfParsewas not enabled. The default parsing function cannot correctly recognize table-formatted audio list content. - Symptom: Chunking results lose speaker annotation information. This makes it impossible for subsequent quality inspection links to associate corresponding segments. Cause:
chunkSplitterwas configured to split only by fixed characters. It did not retain speaker contextual boundaries.
How to confirm the configuration is correct
- Upload a single transcription specification document. Check if the parsed chunks fully retain the contextual content of the specialized term list.
- Upload a batch of audio list files. Verify that the parsing progress meets the preset timeout threshold, with no mid-process interruption prompts.
- Upload an annotated quality inspection report. Confirm that the parsing results extract correction opinions from annotations and table fields.
- Check the system operation logs. Confirm there are no error records for file parsing timeouts or format parsing failures.
The values provided here 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.