Update README.md

README.md

@@ -65,9 +65,7 @@ config_name: default
 # ARACHNID RL Dataset
 
 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 
+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. 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.
@@ -75,9 +73,7 @@ learning or behavioral cloning from human demonstrations.
 ### Dataset Structure
 
 The main dataset is in `data/train.jsonl` in JSON Lines format. 1.83 MB, stored primarily as a JSON Lines file (train.jsonl), 
-with an auto-converted Parquet version for efficient loading.
-
-Each entry represents a single transition, including timestamp, session/player ID, event type (e.g., shoot, move, game_start, destroy_alien), action
+with an auto-converted Parquet version for efficient loading. Each entry represents a single transition, including timestamp, session/player ID, event type (e.g., shoot, move, game_start, destroy_alien), action
 taken (e.g., left, right, shoot), reward (e.g., +15 for collecting diamonds), done flag, current state (as JSON with position, velocity, score, lives, nearby 
 objects, etc.), next state, and event details.