Update README.md

README.md

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 # Query Expansion Dataset
-This dataset is designed for training search query expansion models that can generate multiple semantic expansions for a given query.
+This dataset is designed to train search query expansion models that can generate multiple semantic expansions for a given query.
 
 ## Purpose
 The goal of this dataset is to serve as input for training small language models (0.5B to 3B parameters) to act as query expander models in various search systems, including but not limited to Retrieval-Augmented Generation (RAG) systems.
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 ## Limitations and alternative approaches
-While this dataset provides a valuable resource for training query expansion models, it's important to note that alternative approaches, such as thesaurus-based methods, BERT-like models, or using large language model APIs, may be more suitable depending on the specific use case and requirements. Each approach has its own limitations and considerations, such as the ability to handle short and long queries, computational resource requirements, latency, security, and cost.
+While this dataset provides a valuable resource for training query expansion models, it's important to note that alternative approaches, such as thesaurus-based methods or using large language model APIs, may be more suitable depending on the specific use case and requirements. 
 
 ## License
 This dataset is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).