{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"hartford_deepiv\",\n \"rows\": 1000,\n \"description\": \"This dataset contains simulated consumer behavior data examining relationships between pricing decisions and market demand across various emotional and temporal contexts. The data structure reflects a complex economic environment where pricing strategies may be influenced by factors that also affect consumer demand. Pricing information is represented through both continuous normalized measures and categorical indicators distinguishing between different price levels. The data captures market demand responses across various pricing scenarios, with additional variables tracking price positioning within broader market distributions.\\n\\nVariable description:\\nobs_id: unique observation identifier\\nseed: randomization seed for simulation\\ntreatment_price_normalized: standardized pricing measure\\noutcome_demand: consumer demand response\\ninstrument_z: auxiliary variable for pricing analysis\\ntemporal_time: time measurement\\nstate_emotion_id: emotional state category identifier; takes values 0, 1, 2, ..., 6\\ncovariate_emotion_0 to covariate_emotion_6: emotional state indicators across seven categories\\nunobserved_confounder_v: unmeasured factor affecting pricing and demand\\nprice_percentile: pricing position within market distribution\\ntreatment_high_price: indicator for high pricing condition\\ntreatment_low_price: indicator for low pricing condition\\ninstrument_strong: strength indicator for auxiliary pricing variable\\ntime_category: categorical time period\\ncounterfactual_demand_low_price: hypothetical demand under low pricing\\ncounterfactual_demand_high_price: hypothetical demand under high pricing\\nindividual_treatment_effect: person-specific response to pricing changes\",\n \"columns\": {\n  \"obs_id\": \"int64\",\n  \"seed\": \"int64\",\n  \"treatment_price_normalized\": \"float64\",\n  \"outcome_demand\": \"float64\",\n  \"instrument_z\": \"float64\",\n  \"temporal_time\": \"float64\",\n  \"state_emotion_id\": \"int64\",\n  \"covariate_emotion_0\": \"float64\",\n  \"covariate_emotion_1\": \"float64\",\n  \"covariate_emotion_2\": \"float64\",\n  \"covariate_emotion_3\": \"float64\",\n  \"covariate_emotion_4\": \"float64\",\n  \"covariate_emotion_5\": \"float64\",\n  \"covariate_emotion_6\": \"float64\",\n  \"unobserved_confounder_v\": \"float64\",\n  \"price_percentile\": \"int64\",\n  \"treatment_high_price\": \"int64\",\n  \"treatment_low_price\": \"int64\",\n  \"instrument_strong\": \"int64\",\n  \"time_category\": \"str\",\n  \"counterfactual_demand_low_price\": \"float64\",\n  \"counterfactual_demand_high_price\": \"float64\",\n  \"individual_treatment_effect\": \"float64\"\n }\n}"}