Update README.md

README.md

@@ -237,5 +237,5 @@ In detail, it contains each 10 runs for the landscape data of PPO, DQN and SAC r
 Additionally, it contains each 3 runs for the 5 optimzation algorithms PBT, SMAC, SMAC with Multi-Fidelity and Random Search for each algorithm and environment pair. 
 The dataset follows the mapping: 
 $$\text{Training Budget and Seed, Hyperparameter Configuration} \mapsto \text{Training Performance}$$
-For the optimization runs, it additionally includes the key *optimization seed* to distinguish configurations between the 5 optimization runs.
+For the optimization runs, it additionally includes the key *optimization seed* to distinguish configurations between the 5 optimization runs for each algorithm environment pair.
 For more information, refer to the [ARLBench](https://arxiv.org/abs/2409.18827) paper.