| --- |
| dataset_info: |
| features: |
| - name: example_id |
| dtype: int64 |
| - name: query |
| dtype: string |
| - name: query_id |
| dtype: int64 |
| - name: product_id |
| dtype: string |
| - name: product_locale |
| dtype: string |
| - name: esci_label |
| dtype: string |
| - name: small_version |
| dtype: int64 |
| - name: large_version |
| dtype: int64 |
| - name: product_title |
| dtype: string |
| - name: product_description |
| dtype: string |
| - name: product_bullet_point |
| dtype: string |
| - name: product_brand |
| dtype: string |
| - name: product_color |
| dtype: string |
| - name: product_text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 5047037946 |
| num_examples: 2027874 |
| - name: test |
| num_bytes: 1631847321 |
| num_examples: 652490 |
| download_size: 2517788457 |
| dataset_size: 6678885267 |
| license: apache-2.0 |
| task_categories: |
| - text-classification |
| - text-retrieval |
| language: |
| - en |
| - ja |
| - es |
| --- |
| # Dataset Card for "esci" |
| ESCI product search dataset |
| https://github.com/amazon-science/esci-data/ |
|
|
| Preprocessings: |
|
|
| -joined the two relevant files |
|
|
| -product_text aggregate all product text |
| |
| -mapped esci_label to full name |
|
|
| ```bib |
| @article{reddy2022shopping, |
| title={Shopping Queries Dataset: A Large-Scale {ESCI} Benchmark for Improving Product Search}, |
| author={Chandan K. Reddy and Lluís Màrquez and Fran Valero and Nikhil Rao and Hugo Zaragoza and Sambaran Bandyopadhyay and Arnab Biswas and Anlu Xing and Karthik Subbian}, |
| year={2022}, |
| eprint={2206.06588}, |
| archivePrefix={arXiv} |
| } |
| ``` |
