python file

ESCI-product-dataset.py

@@ -21,6 +21,15 @@ import json
 import datasets
 
 _CITATION = """
+@misc{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}
+}
+
 
 }
 """
@@ -47,36 +56,47 @@ class ESCIproduct(datasets.GeneratorBasedBuilder):
             'query_id': datasets.Value('string'),
             'query': datasets.Value('string'),
             'positive_passages': [
-                {'doc_id': datasets.Value('string'), 'text': datasets.Value('string'),
+                {'docid': datasets.Value('string'), 'text': datasets.Value('string'),
                  'title': datasets.Value('string'), 'bullet_points': datasets.Value('string'),
                  'color': datasets.Value('string'), 'locale': datasets.Value('string'),
-                 'content': datasets.Value('string')}
+                 'brand': datasets.Value('string'),'contents': datasets.Value('string')}
             ],
             'positive_passages_substitue': [
-                {'doc_id': datasets.Value('string'), 'text': datasets.Value('string'),
+               {'docid': datasets.Value('string'), 'text': datasets.Value('string'),
                  'title': datasets.Value('string'), 'bullet_points': datasets.Value('string'),
                  'color': datasets.Value('string'), 'locale': datasets.Value('string'),
-                 'content': datasets.Value('string')}
+                 'brand': datasets.Value('string'),'contents': datasets.Value('string')}
+
             ],
             'negative_passages': [
-                {'doc_id': datasets.Value('string'), 'text': datasets.Value('string'),
+                {'docid': datasets.Value('string'), 'text': datasets.Value('string'),
                  'title': datasets.Value('string'), 'bullet_points': datasets.Value('string'),
                  'color': datasets.Value('string'), 'locale': datasets.Value('string'),
-                 'content': datasets.Value('string')}
+                 'brand': datasets.Value('string'),'contents': datasets.Value('string')}
             ],
             'negative_passages_true': [
-                {'doc_id': datasets.Value('string'), 'text': datasets.Value('string'),
+                {'docid': datasets.Value('string'), 'text': datasets.Value('string'),
                  'title': datasets.Value('string'), 'bullet_points': datasets.Value('string'),
                  'color': datasets.Value('string'), 'locale': datasets.Value('string'),
-                 'content': datasets.Value('string')}
+                 'brand': datasets.Value('string'),'contents': datasets.Value('string')}
             ],
             'negative_passages_complement': [
-                {'doc_id': datasets.Value('string'), 'text': datasets.Value('string'),
+                {'docid': datasets.Value('string'), 'text': datasets.Value('string'),
                  'title': datasets.Value('string'), 'bullet_points': datasets.Value('string'),
                  'color': datasets.Value('string'), 'locale': datasets.Value('string'),
-                 'content': datasets.Value('string')}
+                 'brand': datasets.Value('string'),'contents': datasets.Value('string')}
             ],
+            'query-inject-det': datasets.Value('string'),
+            'query-stem': datasets.Value('string'),
+            'query-synonym': datasets.Value('string'),
+            'query-random-char-swap': datasets.Value('string'),
+            'query-char-keyboard': datasets.Value('string'),
+            'query-paraphrase': datasets.Value('string'),
+            'query-reorder-words': datasets.Value('string'),
+            'query-backtranslation': datasets.Value('string'),
+            'query-char-delete': datasets.Value('string')
         })
+
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,