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README.md

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 title: README
-emoji: 🌖
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+emoji: 🤗
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 sdk: static
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+tags:
+- evaluate
+- measurement
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-Edit this `README.md` markdown file to author your organization card 🔥
+🤗 Evaluate provides access to a wide range of evaluation tools. It covers a range of modalities such as text, computer vision, audio, etc. as well as tools to evaluate models or datasets. 
+
+It has three types of evaluations:
+- **Metric**: measures the performance of a model on a given dataset, usually by comparing the model's predictions to some ground truth labels. 
+- **Comparison**: used useful to compare the performance of two or more models on a single test dataset., e.g. by comparing their predictions to ground truth labels and computing their agreement. 
+- **Measurement**: for gaining more insights on datasets and model predictions based on their properties and characteristics.
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+All three types of evaluation supported by the 🤗 Evaluate library are meant to be mutually complementary, and help our community carry out more mindful and responsible evaluation!