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Product catalog generator

This is a custom LLM fine tuned on LLama 2 based on Basalam products to infer enitty (product types) and attributes based on product data. You can use it on any similar dataset.

Github repo: https://github.com/basalam/product-catalog-generator

Sample input

prompt = """instruction': \"here is a product title from a Iranian marketplace.  \n         give me 
                 the Product Entity and Attributes of this product in Persian language.\n         give the output in 
                 this json format: {'attributes': {'attribute_name' : <attribute value>, ...}, 'product_entity': 
                 '<product entity>'}.\n         Don't make assumptions about what values to plug into json. Just give 
                 Json not a single word more.\n         \nproduct title:"""
title = """: ست شابلون ژله ای دو قلو صریر 20سانتی 1 عدد
1 عدد ست شابلون ژله ای دو قلو سریر 20سانتی متر
با کیفیت مناسب و صادراتی
شامل دو تکه شابلون ژله ای
در چهار رنگ سبز، قرمز، نارنجی و آبی موجود است.
پخش لوازم التحریر کیان""""

Model response

{
  "attributes": {
    "تعداد تکه": "2",
    "طول": "20 سانتی‌متر",
    "رنگ‌ها": "سبز، قرمز، نارنجی، آبی",
    "کیفیت": "مناسب و صادراتی"
  },
  "product_entity": "ست شابلون ژله ای"
}
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Dataset used to train BaSalam/Llama2-7b-entity-attr-v1

Collection including BaSalam/Llama2-7b-entity-attr-v1