> For the complete documentation index, see [llms.txt](https://help.metaforms.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.metaforms.ai/open-end-cleaning-and-coding/open-end-coding/5.-export-the-results.md).

# 5. Export the results

The Export stage shows an overall summary and a per-question breakdown of total responses, code count, and coded responses.

Available downloads are:

* **Download All Coded Data:** a ZIP containing one `.xlsx` file per question. Each workbook includes respondent ID, response text, and a binary `1` or `0` column for every code.
* **Code Frame Summary:** an `.xlsx` workbook containing code numbers, labels, descriptions, counts, and percentage of total.
* **Cleaned Responses:** an `.xlsx` workbook containing cleaning status, quality category, translations, and final response text. This requires a completed cleaning run.
* **Translation Log:** an `.xlsx` workbook containing original text, detected language, translated text, and translation status. It appears when the completed cleaning output contains translations.

<figure><img src="/files/NIq55Pw24PkytZoQbgbq" alt=""><figcaption></figcaption></figure>

### Making changes after coding

You can return to an earlier stage from the coding stepper. Changes may affect later outputs:

* Regenerating code frames replaces manual frame changes and invalidates later coding approval, QA, and export state.
* Editing assignments may require QA to be run again.
* Re-cleaning or refreshing the cleaned dataset can invalidate coding that was sourced from cleaning.

When a change would remove downstream work, Metaforms displays an impact summary before continuing.


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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://help.metaforms.ai/open-end-cleaning-and-coding/open-end-coding/5.-export-the-results.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.