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README.md

@@ -1,25 +1,16 @@
 ---
 annotations_creators:
 - other
-language:
-- en
 language_creators:
 - other
+language:
+- en
 license:
 - unknown
 multilinguality:
 - monolingual
-pretty_name: 'Australia - Bottega Veneta - Product-level price list'
 source_datasets:
 - original
-tags:
-- webscraping
-- ecommerce
-- 'Bottega Veneta'
-- fashion
-- fashion product
-- image
-- fashion image
 task_categories:
 - text-classification
 - image-classification
@@ -30,6 +21,62 @@ task_categories:
 - object-detection
 - summarization
 - zero-shot-image-classification
+pretty_name: Australia - Bottega Veneta - Product-level price list
+tags:
+- webscraping
+- ecommerce
+- Bottega Veneta
+- fashion
+- fashion product
+- image
+- fashion image
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: website_name
+    dtype: string
+  - name: competence_date
+    dtype: string
+  - name: country_code
+    dtype: string
+  - name: currency_code
+    dtype: string
+  - name: brand
+    dtype: string
+  - name: category1_code
+    dtype: string
+  - name: category2_code
+    dtype: string
+  - name: category3_code
+    dtype: string
+  - name: product_code
+    dtype: string
+  - name: title
+    dtype: string
+  - name: itemurl
+    dtype: string
+  - name: imageurl
+    dtype: string
+  - name: full_price
+    dtype: float64
+  - name: price
+    dtype: float64
+  - name: full_price_eur
+    dtype: float64
+  - name: price_eur
+    dtype: float64
+  - name: flg_discount
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 1611618
+    num_examples: 4461
+  download_size: 463826
+  dataset_size: 1611618
 ---
 # Bottega Veneta web scraped data