Upload folder using huggingface_hub

README.md

@@ -13,8 +13,6 @@ dataset_info:
       dtype: string
     - name: game_state_url
       dtype: string
-    - name: json_game_state_url
-      dtype: string
 configs:
   - config_name: default
     data_files:
@@ -37,6 +35,17 @@ tags:
 
 # LudoBench
 
+**LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments**
+
+*ICLR 2026*
+
+[![Paper](https://img.shields.io/badge/Paper-OpenReview-blue)](https://openreview.net/forum?id=TOgQ00DEek)
+[![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-yellow)](https://huggingface.co/datasets/jpeper/LudoBench_test)
+[![GitHub](https://img.shields.io/badge/Code-GitHub-black)](https://github.com/jpeper/LudoBench)
+[![Demo](https://img.shields.io/badge/Demo-HF%20Space-orange)](https://huggingface.co/spaces/jpeper/LudoBench_test)
+
+---
+
 A multimodal board-game reasoning benchmark evaluating LLM/VLM reasoning
 across 5 strategy games and 3 difficulty tiers.
 
@@ -45,7 +54,7 @@ across 5 strategy games and 3 difficulty tiers.
 - **638** annotated question-answer pairs
 - **5 games**: Kingdomino, Res Arcana, Pax Renaissance, Carcassonne, Catan
 - **3 tiers**: Environment Perception (T1), Rules Integration (T2), Short-Horizon Optimization (T3)
-- **3 modalities**: None (parametric), Text (text rulebook), Image (image rulebook)
+- **3 rules modalities**: None (parametric), Text (text rulebook), Image (image rulebook)
 
 ## Fields
 
@@ -57,7 +66,6 @@ across 5 strategy games and 3 difficulty tiers.
 | `Question` | The question text |
 | `Answer` | Expected answer |
 | `game_state_url` | Path(s) to game state image(s), semicolon-separated if multiple |
-| `json_game_state_url` | Path to JSON game state |
 
 ## Benchmark Results
 
@@ -66,8 +74,11 @@ See `benchmark_results.csv` for accuracy scores of 9 models across all game/tier
 ## Citation
 
 ```bibtex
-@article{ludobench2026,
-  title={LudoBench: Evaluating Multimodal Reasoning through Real-World Tabletop Strategy Games},
-  year={2026}
+@inproceedings{peper2026ludobench,
+  title={{LLMs} as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments},
+  author={Peper, Joseph J. and Gandra, Sai Krishna and Zhang, Yunxiang and Chennareddy, Vaibhav and Jha, Shloki and Payani, Ali and Wang, Lu},
+  booktitle={Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)},
+  year={2026},
+  address={Rio de Janeiro, Brazil}
 }
 ```

ludobench.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ea30674c9e06add0ed4ed33ef138c3b53498c2a15932068d57672a938e32155
-size 45259
+oid sha256:57085d48a31e89b0fa050b7dd923d90ccb84dd5c1bfd94c3f357a0f731f14a2f
+size 43073