# Contributing

**URL:** https://discourse.greatexpectations.io/c/contributing/22.md

[Latest](https://discourse.greatexpectations.io/latest.md) · [Categories](https://discourse.greatexpectations.io/categories.md) · [Tags](https://discourse.greatexpectations.io/tags.md)

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## [About the Contributing category](https://discourse.greatexpectations.io/t/about-the-contributing-category/1979)

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**Author:** [@mollie.pettit](https://discourse.greatexpectations.io/u/mollie.pettit)\
**Replies:** 0\
**Last updated:** [November 5, 2024, 6:34pm UTC](https://discourse.greatexpectations.io/t/about-the-contributing-category/1979 "2024-11-05T18:34:17Z")

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A space for previous, current and prospective contributors to talk about potential contributions and to help each other with contributions, and for GX to flag newly submitted community-supported issues.

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## [RFC Feedback: a HuggingFace data source](https://discourse.greatexpectations.io/t/rfc-feedback-a-huggingface-data-source/2404)

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**Author:** [@joshstauffer](https://discourse.greatexpectations.io/u/joshstauffer)\
**Replies:** 0\
**Last updated:** [October 6, 2026, 2:07pm UTC](https://discourse.greatexpectations.io/t/rfc-feedback-a-huggingface-data-source/2404 "2026-10-06T14:07:22Z")

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RFC 12163 proposes adding a HuggingFace data source so that GX can reproducibly validate HF datasets. It’s in the final stage of the RFC process, and needs your input! Is this a feature you would use? Leave feedback here…

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## [I would like to contribute a feature for SQL templating](https://discourse.greatexpectations.io/t/i-would-like-to-contribute-a-feature-for-sql-templating/2227)

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**Author:** [@VovaVili](https://discourse.greatexpectations.io/u/VovaVili)\
**Replies:** 3\
**Last updated:** [September 4, 2025, 7:17pm UTC](https://discourse.greatexpectations.io/t/i-would-like-to-contribute-a-feature-for-sql-templating/2227 "2025-09-04T19:17:58Z")

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Hello all, this is me, Vladimir. I’ve had this post hanging in Slack for ± 20 days with no response, so I am cross posting it here, in hopes that it will get attention. Quite frequently in my data engineering work, I ru…