> For the complete documentation index, see [llms.txt](https://docs.ownlayer.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ownlayer.com/iterate/dataset/dataset-evaluation.md).

# Dataset Evaluation

To measure the performance of a model on a dataset, it can be done by comparing the model's predictions to some ground truth references. We currently offer BLEU, ROUGE, WER, METEOR, and Accuracy.

## **Evaluate Dataset As A Whole**

### **Evaluate Dataset**

* Click on 'Evaluate dataset'.
* Choose the desired dataset evaluators from the list.

### **Review Evaluator Description**

* Upon selection, a description of the evaluator will appear. Review this to ensure it matches your needs.
* If everything looks right, click 'Create'.

<figure><img src="https://2399115798-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FWsdxCCToJ5K2nk2ZZvqc%2Fuploads%2FXlLauyDO5JuiDLisXsLX%2FExport-1727387541859.gif?alt=media&amp;token=b9f7444f-4986-4a45-bbcd-c29c54d8a7e8" alt=""><figcaption></figcaption></figure>
