cypress-realworld-app VS datasets

Cypress documentation

The full source code of the examples shown in this article can be found here. The example web app is based on the react-note-taking-app built on top of the T3 Stack. The Cypress tests and configuration are based on the best practices documented in the cypress-realworld-app.

I’d encourage you to look at https://docs.cypress.io

Cypress is a modern, automated testing suite. It's a fully open source testing framework based on JavaScript and is built with libraries like Mocha and Chai that support BDD and TDD assertion styles. Further, using Cypress will be easy if you’re familiar with writing tests in JavaScript.

https://github.com/cypress-io/cypress-realworld-app

It's mainly about showing Cypress (which is something like Selenium or Playwright or what have you) but integrates it into a real world example with commonly used tools and frameworks.

I think the Cypress documentation is absolutely great:

https://docs.cypress.io/

One of the better things about cypress are how they create so many how-to guides for a variety of scenarios. Take implementing Cypress into a CI runners, they have guides on how to effectively use it nearly everywhere:

https://docs.cypress.io/guides/continuous-integration/ci-pro...

GitHub: https://github.com/cypress-io/cypress-realworld-app

In addition, we have also prepared over 30+ examples of real-world tests against the Real World App. This application has been around for a couple of years now, but since it contains some rather advanced concepts and examples, much of it was beyond reach for people just getting started. To solve this problem we have written in-depth articles for every example which explains line by line what each test is doing.

Cypress.io is just a test runner, but it can be paired with Testomat.io, a test management system for automated tests. Let's see how Testomat.io can answer the questions risen above. We will use Cypress Realworld App as you might have guessed, this is a good example of a project with well-written Cypress tests.

https://github.com/huggingface/datasets

https://github.com/huggingface/transformers

https://huggingface.co/docs/datasets backed with an Arrow file or buffer

I'm looking for an automatic evaluation metric that can score the first text higher (since it's more grammatically correct/better for other reasons). All the metrics for NLG I found require some reference text to match the generated text with, which I don't have.

And then pass that my_code.json as the dataset name.

[1] https://github.com/huggingface/datasets

Code for https://arxiv.org/abs/2109.02846 found: https://github.com/huggingface/datasets

Quick Read | Paper | Github