Update README.md

README.md

@@ -57,11 +57,11 @@ PDDL2PRM contains:
 
 | Statistic | Value |
 |---|---:|
-| Reasoning steps | **984,974** |
-| Planning problems | **14,714** |
+| Reasoning steps | **962,152** |
+| Planning problems | **14,062** |
 | Domains | **11** |
 | Reward levels | **5** |
-| Mean optimal plan length | **7.94** |
+| Mean optimal plan length | **8.15** |
 
 Each example consists of a planning problem expressed in natural language, a partial reasoning trajectory, and a reward assigned to an intermediate step.
 
@@ -78,7 +78,7 @@ PDDL2PRM includes 11 planning domains:
 | BlocksWorld-3 | 952 | 51,990 |
 | BlocksWorld-4 | 1,796 | 125,402 |
 | Ferry | 858 | 65,269 |
-| Hanoi | 1,660 | 65,745 |
+| Hanoi | 1,008 | 42,923 |
 | Logistics | 669 | 70,238 |
 | Elevator | 2,089 | 207,549 |
 | N-Puzzle | 598 | 42,027 |
@@ -86,7 +86,7 @@ PDDL2PRM includes 11 planning domains:
 | Sokoban | 437 | 58,475 |
 | Spanner | 3,563 | 198,942 |
 | VisitGrid | 1,176 | 61,390 |
-| **Total** | **14,714** | **984,974** |
+| **Total** | **14,062** | **962,152** |
 
 The domains are grouped into broad reasoning families:
 - **Manipulation and rearrangement:** BlocksWorld variants.
@@ -96,6 +96,24 @@ The domains are grouped into broad reasoning families:
 
 ---
 
+## High-quality subset
+
+We also release a smaller, high-quality subset (`train_highquality.json`) intended for
+lighter-weight training and ablations. For each problem in the training split it keeps the
+optimal solution trajectory plus up to **5 alternative candidate steps**, sampled at evenly
+spaced points along the plan and prioritising the most informative rewards (partial rewards
+first, then non-executable, then optimal).
+
+| Statistic | Value |
+|---|---:|
+| Examples | **72,795** |
+| Planning problems | **11,880** |
+| Domains | **10** (Rooms is test-only and not included) |
+
+It shares the same schema as the full dataset.
+
+---
+
 ## Reward Signal
 
 Each reasoning step is assigned one of five scalar rewards: