Free · no signup · browser-local

JSONL Conversation Dataset Validator with Line Errors

Check text-conversation or input/output records, duplicate IDs and physical line errors. Export complete normalized JSONL only when the selected checks pass.

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Browser-local preparation and checks · no model calls · no input storage

Configure the check

Text-only subset; not a provider fine-tuning approval. IDs, when present, must be unique. Unsupported message fields are reported; invalid lines are never silently dropped from an export.

Your output

result.json

Complete the input to preview and export your result.

These are local preparation and validation tools. A passing check is limited to the stated rules; services are not called, authenticated or executed.

Getting started

Choose the text dataset subset, paste or upload JSONL, then inspect the report before exporting normalized valid data.

Before you use the result

This checks a documented UTools subset, not vendor fine-tuning eligibility. Multimodal messages, tool calls and assistant quality are outside its scope.

Try an example

Load the built-in example, change one value and inspect the actual exported result.

How it works

Bounded browser-local parsing and deterministic rules; no model calls, arbitrary code or remote schema fetches.

Frequently asked questions

Check text conversations or input/output JSONL with physical line numbers and duplicate-ID detection.

How do I use Agent JSONL Dataset Validator?

Choose the text dataset subset, paste or upload JSONL, then inspect the report before exporting normalized valid data.

Does this tool upload my data?

Inputs and files are processed in your browser. Page-view analytics do not contain your tool input.

What should I check before using the result?

This checks a documented UTools subset, not vendor fine-tuning eligibility. Multimodal messages, tool calls and assistant quality are outside its scope.