# Synthetic Dataset for Product Descriptions and Ads

The basic process was as follows:

1. Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
2. Split the output into desired format `{"product" : "<PRODUCT NAME>", "description" : "<DESCRIPTION>"}
3. Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.

This data was not cleaned or verified manually.
task_categories:text-generation size_categories:n<1K language:en license:openrail art region:us
{"language": ["en"], "license": "openrail", "size_categories": ["n<1K"], "task_categories": ["text-generation"], "pretty_name": "Product Descriptions and Ads", "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "average_review", "dtype": "string"}, {"name": "menu", "dtype": "string"}, {"name": "stars", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61707, "num_examples": 13}], "dataset_name": "json"}, "tags": ["art"]}
TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #license-openrail #art #region-us 

# Synthetic Dataset for Product Descriptions and Ads

The basic process was as follows:

1. Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
2. Split the output into desired format '{"product" : "<PRODUCT NAME>", "description" : "<DESCRIPTION>"}
3. Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.

This data was not cleaned or verified manually.
# Synthetic Dataset for Product Descriptions and Ads

The basic process was as follows:

1. Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
2. Split the output into desired format '{"product" : "<PRODUCT NAME>", "description" : "<DESCRIPTION>"}
3. Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.

This data was not cleaned or verified manually.
TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #license-openrail #art #region-us 
 # Synthetic Dataset for Product Descriptions and Ads

The basic process was as follows:

1. Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
2. Split the output into desired format '{"product" : "<PRODUCT NAME>", "description" : "<DESCRIPTION>"}
3. Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.

This data was not cleaned or verified manually.
passage: TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #license-openrail #art #region-us 
# Synthetic Dataset for Product Descriptions and Ads

The basic process was as follows:

1. Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
2. Split the output into desired format '{"product" : "<PRODUCT NAME>", "description" : "<DESCRIPTION>"}
3. Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.

This data was not cleaned or verified manually.