Add links to paper, project page, and code

README.md

@@ -1,11 +1,11 @@
 ---
 language:
 - en
-pretty_name: MLE World
-task_categories:
-- text-generation
 size_categories:
 - 100K<n<1M
+task_categories:
+- text-generation
+pretty_name: MLE World
 tags:
 - code
 - execution-simulation
@@ -23,6 +23,8 @@ configs:
 
 # MLE World
 
+Paper: [MLE-World: Predicting Machine Learning Experiment Outcomes with a Learned World Model](https://huggingface.co/papers/2610.37175) | Project: [https://mle-world.github.io/](https://mle-world.github.io/) | Code: [https://github.com/ko120/MLE_World](https://github.com/ko120/MLE_World)
+
 The supervised fine-tuning dataset used to train [MLE-World-Qwen3.5-4B, checkpoint 6685](https://huggingface.co/ko120/MLE-World-Qwen3.5-4B), the execution world model used in the Qwen3.5-9B stage-policy experiments recorded in `stage_policy_qwen35_9b_seven_arm_8h_plan_20261011.md`.
 
 This release exports `world_final_low_9_3_exc_token_h100`, built on September 9, 2026. It contains **497,056 training examples** and **1,700 validation examples**, with 100 held-out examples per task across 17 MLE-bench tasks. The validation split is the original `holdout.sharegpt.jsonl`.
@@ -72,4 +74,4 @@ python ./mle-world-data/export_jsonl.py --output-dir ./training_data
 
 The helper requires `pyarrow`. It writes `train.jsonl`, `holdout.sharegpt.jsonl`, the original `dataset_info.json`, and the exception vocabulary into the output directory. JSON serialization whitespace may differ; field values and row order are preserved.
 
-The matching model repository includes the original training configuration. Set its `dataset_dir` to the restored output directory when reproducing training.
+The matching model repository includes the original training configuration. Set its `dataset_dir` to the restored output directory when reproducing training.