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README.md

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 pretty_name: ARLBench Performance Data
 size_categories:
 - 10K<n<100K
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+---
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+# The ARLBench Performance Dataset
+
+[ARLBench](https://github.com/automl/arlbench) is a benchmark for hyperparameter optimization in Reinforcement Learning. 
+Since we performed several thousand runs on the benchmark to find meaningful HPO test settings in RL, we collect them in this dataset for future use.
+These runs could be used to meta-learn information about the hyperparameter landscape or warmstart HPO tools.
+
+In detail, it contains each 10 runs for PPO, DQN and SAC respectively on the Atari-5 environments, four XLand gridworlds, four MuJoCo walkers, five classic control and two Box2D environments.
+For more information, refer to the ARLBench paper.