Update README.md

README.md

@@ -7,7 +7,7 @@ size_categories:
 ---
 # U.S. Earthquake Dataset
 
-This dataset contains earthquake events in the U.S. from January 1, 2020, to December 31, 2023. It inclucdes 3,009 sequences with 29,521 events across 3 magnitude types. The original data can be accessed via [USGS Earthquake Search](https://earthquake.usgs.gov/earthquakes/search/). The detailed data preprocessing steps used to create this dataset can be found in the [TPP-LLM paper](https://arxiv.org/abs/2410.02062) and [TPP-LLM-Embedding paper](https://arxiv.org/abs/2410.14043).
+This dataset contains earthquake events in the U.S. from January 1, 2020, to December 31, 2023. It inclucdes 3,009 sequences with 29,521 events across 3 magnitude types. The original data can be accessed via [USGS Earthquake Search](https://earthquake.usgs.gov/earthquakes/search/). The detailed data preprocessing steps used to create this dataset can be found in the [TPP-LLM paper](https://arxiv.org/abs/2410.02062) and [TPP-Embedding paper](https://arxiv.org/abs/2410.14043).
 
 **Update (2025-10-28):** Added three timestamp fields (`timestamp_event`, `timestamp_since_start`, `timestamp_since_last_event`) in seconds, and refreshed the dataset using the latest USGS source data. If you wish to reproduce the original TPP-LLM results, please refer to the earlier dataset snapshots in the Commit History.
 
@@ -20,8 +20,8 @@ If you find this dataset useful, we kindly invite you to cite the following pape
   year={2024}
 }
 
-@article{liu2024efficient,
-  title={Efficient Retrieval of Temporal Event Sequences from Textual Descriptions},
+@article{liu2024retrieval,
+  title={Retrieval of Temporal Event Sequences from Textual Descriptions},
   author={Liu, Zefang and Quan, Yinzhu},
   journal={arXiv preprint arXiv:2410.14043},
   year={2024}