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README.md

@@ -1,26 +1,31 @@
----
-license: apache-2.0
-task_categories:
-- text-generation
-language:
-- en
-tags:
-- agent
-size_categories:
-- 1K<n<10K
----
-# Dict Sum dataset (HF-compatible files)
+# Long Horizon Execution
 
-This folder contains JSONL files compatible with Hugging Face Datasets.
-All samples are placed in the 'test' split by default.
+This project contains the dataset accompanying the paper "The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs" to evaluate Long Horizon Execution capabilities of LLMs.
 
-## Loading locally
+### File Structure
+`config.json` contains metadata about out dataset.
 
-```python
-from datasets import load_dataset
-ds = load_dataset('json', data_files={'test': str(PATH_TO_DIR/'test.jsonl')})
-print(ds)
-print(ds['test'][0])
-```
+`dictionary.json` contains the key-value dictionary. 
+
+`test.jsonl` contains the individual samples with ground truth outputs.
+
+### Setup
+![Our task.](task_overview.png)
 
-The original dictionary is saved in `dictionary.json` and config in `config.json`.
+### Benchmark of Frontier Models
+![Benchmark of Frontier models.](benchmark.png)
+
+### Citation
+Find out more about our work at https://arxiv.org/abs/2509.09677. Consider citing us if you use our dataset.
+```
+@misc{
+      sinha2025illusiondiminishingreturnsmeasuring,
+      title={The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs}, 
+      author={Akshit Sinha and Arvindh Arun and Shashwat Goel and Steffen Staab and Jonas Geiping},
+      year={2025},
+      eprint={2509.09677},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2509.09677}, 
+}
+```