Update README.md

README.md

@@ -7,7 +7,7 @@ size_categories:
 ---
 # Amazon Review Dataset
 
-This dataset contains Amazon reviews from January 1, 2018, to June 30, 2018. It includes 2,245 sequences with 127,054 events across 18 category types. The original data is available at [Amazon Review Data](https://nijianmo.github.io/amazon/) with citation information provided on the page. 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 Amazon reviews from January 1, 2018, to June 30, 2018. It includes 2,245 sequences with 127,054 events across 18 category types. The original data is available at [Amazon Review Data](https://nijianmo.github.io/amazon/) with citation information provided on the page. 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. No other changes were made.
 
@@ -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}