> For the complete documentation index, see [llms.txt](https://docs.zingg.ai/0.4.0/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zingg.ai/0.4.0/stepbystep/createtrainingdata/label.md). # Labeling Records Providing user feedback on the training pairs The label phase opens an interactive learner where the user can mark the pairs found by findTrainingData phase as matches or non-matches. The findTrainingData phase generates edge cases for labeling and the label phase helps the user mark them. `./zingg.sh --phase label --conf config.json ` ![Shows records and asks user to mark yes, no, can't say on the cli.](https://1010246109-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fa7sgpR3odgfck5L8KMcN%2Fuploads%2Fgit-blob-e6fd0e64317b41404ac975822cd1492e3a73d445%2Flabel.gif?alt=media) Proceed running findTrainingData followed by label phases till you have at least 30-40 positives, or when you see the predictions by Zingg converging with the output you want. At each stage, the user will get different variations of attributes across the records. Zingg performs pretty well with even a small number of training, as the samples to be labeled are chosen by the algorithm itself. The showConcise flag when passed to the Zingg command line only shows fields which are NOT DONT\_USE --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.zingg.ai/0.4.0/stepbystep/createtrainingdata/label.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.