Document Parsing and Chunking for Adult College Entrance Applications and Admissions: Find Supporting Evidence

Adult Admissions: review parsing for evidence lookup. Compare the source records, required inputs and downstream results before handing the task over.

What this category's data looks like

The data for this category looks like this: Adult college entrance examination registration and admission management involves three types of core materials: registration forms, care bonus point materials, and admission rosters. The registration form is filled out by the candidate and initially reviewed by the registration point; its fields include name, ID number, application level, subject category, date, and signature. The care bonus point materials are submitted by the candidate and reviewed by the admissions office; their fields include bonus item, certificate number, issuance date, and handler signature. The admission roster is formed by the admitting institution; its fields include candidate number, admitted major, admission batch, admission date, and responsible person's signature. Materials enter intensively by registration season, and during batch updates and supplementary admission stages there will be overlapping versions. After the three types of materials enter parsing and training tasks, each is stored as an independent data row, bound to a unique data identifier, for subsequent retrieval and basis item generation.

Configuration and implementation checks

How to configure: This step is executed by parsing and training tasks (server-side tasks), outputting data rows and index status (parsed, indexing, indexed). Basis items that can be traced back to the original text are then completed by retrieval and subsequent processing. After parsing is completed, parsed chunks are immediately stored as visible data rows and bound to a unique data identifier. The index transitions through three states: parsed to indexing to indexed. Data awaiting indexing does not participate in recall. Changing the model only rebuilds data that has completed indexing.

ObjectCheckVerification action
Adult college entrance examination registration formFields include name, ID number, application level, subject category, date, and signature, and must match item by item with the care bonus point materials and admission rosterSeparately check the file records and data rows, confirm that the same candidate's name, quantity, and date are consistent across the three materials, and check whether chunkSize and chunkSplitter are suitable for the table fields
Care bonus point materialsFields include bonus item, certificate number, issuance date, and handler signature, and must correspond to the bonus records in the registration form and admission rosterCheck that the data row status is one of parsed, indexing, or indexed and is consistent with the interface display, and check for missing signatures or receipts
Admission rosterFields include candidate number, admitted major, admission batch, admission date, and responsible person's signature, and must be synchronized with the versions of the registration form and care bonus point materialsLook at the data rows covered by the rebuild task, confirm that only data that has completed indexing is covered, and that trainingType is consistent with the processing mode classification
Data rows and index statusIs in one of the three states and consistent with the interface display; data awaiting indexing is not recalledOpen the data row to check the status, and confirm that the file records and data rows are each distinguishable by their own identity

Three common errors

  • Phenomenon: The same candidate's name and date do not match between the registration form and the admission roster. Cause: The versions of the two materials are not synchronized, or item-by-item comparison by field was not performed during entry.
  • Phenomenon: Care bonus point materials lack a handler signature or receipt but are still treated as valid basis. Cause: The signature and receipt were not checked during material receipt, and they were directly stored after parsing.
  • Phenomenon: Newly uploaded materials cannot be found. Cause: The data row is in a pending-index state, indexing is not complete, and the retrieval layer naturally isolates it from recall.

How to verify the setup

Acceptance for this feature: Upload one material, observe the data row status transitions and the coverage scope of the rebuild task, confirm that the status correctly switches among parsed, indexing, and indexed, and that rebuilding only covers data that has completed indexing.

Business test: Ask a cross-material basis question, see whether the answer provides traceable sources, and check that the number of citations and the tokens of the cited text are recorded separately.

  • Separately check the file records and data rows, confirm that the status is consistent with the interface display, and check whether chunkSize, chunkSplitter, and trainingType are suitable for the material fields.
  • Open the rebuild task and check that the coverage scope includes only data rows that have completed indexing, and that data awaiting indexing does not participate in the rebuild chain.