| | --- |
| | 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} |
| | } |
| | ``` |
