Update README.md

README.md

@@ -67,18 +67,10 @@ config_name: default
 This dataset contains reinforcement learning transitions collected from human gameplay of ARACHNID RL, a 2D Atari-inspired space shooter.
 It contains about 2,831 samples of human gameplay data from a simple Atari-inspired space shooter game.
 
-Players control a spider-like ship to shoot asteroids and aliens while collecting diamonds. To build your own datasets 
-download the ARACHNID RL file in the /gym/ folder of this repo. Play the game and build your own datasets based off of input data. The game
-features desktop keyboard and mobile oneclick browser support.
-
-The dataset is designed for RL research, such as training agents via imitation learning or behavioral cloning from human demonstrations.
-
-### Game Description
-
-Players control a spider-like ship to destroy asteroids and aliens while collecting diamonds. Unlike large-scale RL datasets 
-focused on real-world robotics or massive web-derived preferences, arachnid_RL emphasizes simplicity and interpretability. 
-Its modest scale (1K–10K samples) makes it suitable for rapid prototyping, educational purposes, or benchmarking algorithms 
-on human-like decision-making in a dynamic but low-dimensional environment.
+Players control a spider-like ship to shoot asteroids and aliens while collecting diamonds. To build your 
+own datasets download the ARACHNID RL file in the /gym/ folder of this repo. The game features desktop keyboard 
+and mobile oneclick browser support. The dataset is designed for RL research, such as training agents via imitation 
+learning or behavioral cloning from human demonstrations.
 
 ### Dataset Structure