{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"ice_cream_sales\",\n \"rows\": 10000,\n \"description\": \"To find the effect of price on ice cream sales, the dataset ice_cream_sales.csv is used for training, and ice_cream_sales_rnd.csv is used for testing. Our test set has randomly assigned prices but our training data has only observational prices, which is potentially biased. Each unit is a day. For each day, we know which day of a week it is, what was the cost we had to make the ice cream (you can think of the cost as a proxy for quality) and the average temperature for that day. Then, we have our treatment, price, and our outcome, the number of ice cream sold.\",\n \"columns\": {\n  \"temp\": \"float64\",\n  \"weekday\": \"int64\",\n  \"cost\": \"float64\",\n  \"price\": \"float64\",\n  \"sales\": \"int64\"\n }\n}\n{\n \"id\": \"ice_cream_sales_rnd\",\n \"rows\": 5000,\n \"description\": \"Data file ice_cream_sales_rnd.csv of this question; the question's data description is the description of dataset 'ice_cream_sales'.\",\n \"columns\": {\n  \"temp\": \"float64\",\n  \"weekday\": \"int64\",\n  \"cost\": \"float64\",\n  \"price\": \"int64\",\n  \"sales\": \"int64\"\n }\n}"}