Datasets:

Studeni
/

amazon-esci-data

Tasks:

Text Classification

Token Classification

Text Generation

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Studeni commited on 12 days ago

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@@ -182,7 +182,7 @@ sources = load_dataset(path="Studeni/amazon-esci-data", name="sources", split=["
     - Capture semantic similarity between queries and products
     - Handle long-tail queries with no exact keyword matches
     - Understand product relationships across categories
-    - Example: Query "comfortable running shoes for marathon" can match with "Nike Air Zoom Alphafly NEXT%" even without exact keyword overlap
 ## Citation
 Originally sourced from ["Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search"](https://github.com/amazon-science/esci-data?tab=readme-ov-file), this version is optimized for machine learning applications and semantic search research.

     - Capture semantic similarity between queries and products
     - Handle long-tail queries with no exact keyword matches
     - Understand product relationships across categories
+    - Example: Query "comfortable running shoes for marathon" can match with "Nike Air Zoom Alphafly" even without exact keyword overlap
 ## Citation
 Originally sourced from ["Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search"](https://github.com/amazon-science/esci-data?tab=readme-ov-file), this version is optimized for machine learning applications and semantic search research.