DX-596-together-fine-tuning: sync with mintlify-docs#892#31
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…docs#892 Mirror the updated client/server-side file validation guidance from togethercomputer/mintlify-docs#892: - references/data-formats.md: split validation into client-side structural check and server-side schema validation, document processing_status states (COMPLETED / INVALID_FORMAT / FAILED) and validation_report payloads, refresh CLI examples. - scripts/*_workflow.py: poll client.files.retrieve(...).processing_status after upload before starting fine-tuning so bad datasets fail fast instead of consuming training time.
newokaerinasai
approved these changes
Jun 9, 2026
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Mirrors togethercomputer/mintlify-docs#892 ("MOSH-2768: update docs with examples of backend file validation").
Docs changes that triggered this PR
docs/fine-tuning-data-preparation.mdxdocs/fine-tuning-quickstart.mdxSkill changes
references/data-formats.md: split validation into a client-side structural check (UTF-8 / one-JSON-per-line / min samples / max size) and a server-side schema validation stage, and document the newprocessing_statuslifecycle (COMPLETED/INVALID_FORMAT/FAILED) along with samplevalidation_reportpayloads.references/data-formats.md: refreshed the CLI section to showtogether files retrieve <FILE-ID>as the way to inspect server-side validation status.scripts/finetune_workflow.py,scripts/dpo_workflow.py,scripts/function_calling_finetune.py,scripts/reasoning_finetune.py,scripts/vlm_finetune.py: added a smallwait_for_file_ready(file_id)helper that pollsclient.files.retrieve(...).processing_statusafter upload and raises onINVALID_FORMAT/FAILEDbefore callingclient.fine_tuning.create(...), so bad datasets fail fast instead of consuming training time.Generated by the Sync Skills Cursor Automation. Please review before merging.