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README.md
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**Dataset Description:**
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The 'GolfPosTracker' dataset is designed to assist
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**CSV Content Preview:**
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```
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003,2023-01-06,09:45,M003,N003,30.00,POS,P003,Golf Balls,2,15.00,NONE,Winter
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004,2023-01-06,10:30,M004,N004,45.00,POS,P004,Golf Gloves,1,45.00,NONE,Winter
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005,2023-01-07,11:15,M005,N005,60.00,POS,P005,Golf Club Set,1,60.00,NONE,Spring
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```
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':
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**Dataset Description:**
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The 'GolfPosTracker' dataset is designed to assist a machine learning practitioner in analyzing the performance of golf courses by tracking the location of golf balls in various conditions. The data is gathered from point-of-sale systems, integrating with a revenue analysis tool that assesses the impact of seasonal trends on customer spending. The dataset includes various attributes that could be useful for predicting revenue and customer behavior.
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**CSV Content Preview:**
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```
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track_id,location_coords,timestamp,season,revenue,customer_count,avg_spend_per_customer,ball_speed,ball_spin,customer_age_group,customer_gender,customer_membership_status
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GPT-2-Gen-3-13B-LLaMA-13B-768-v1:4:1605429583,35.4672,2023-03-15T10:00:00Z,Spring,5000,150,35.00,120,55,25-34,M,Premium
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GPT-2-Gen-3-13B-LLaMA-13B-768-v1:4:1605429584,35.4685,2023-03-15T10:05:00Z,Spring,5200,165,31.50,118,57,25-34,F,Standard
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GPT-2-Gen-3-13B-LLaMA-13B-768-v1:4:1605429585,35.4692,2023-03-15T10:10:00Z,Spring,5100,158,33.20,115,52,35-44,M,Standard
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GPT-2-Gen-3-13B-LLaMA-13B-768-v1:4:1605429586,35.4678,2023-03-15T10:15:00Z,Spring,4950,145,36.50,122,59,18-24,M,Non-member
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GPT-2-Gen-3-13B-LLaMA-13B-768-v1:4:1605429587,35.4689,2023-03-15T10:20:00Z,Spring,5300,170,30.00,119,58,25-34,F,Premium
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```
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Note: The 'location_coords' column represents the GPS coordinates of where the golf ball was found. 'timestamp' indicates the date and time of the event. 'season' represents the season of the year. 'revenue' is the total revenue generated during the golfing session. 'customer_count' shows the number of customers on the course at the time. 'avg_spend_per_customer' calculates the average amount spent per customer. 'ball_speed' and 'ball_spin' are technical attributes recorded by the on-course equipment. 'customer_age_group' and 'customer_gender' are demographic data of the customers. 'customer_membership_status' indicates whether the customer is a 'Premium', 'Standard', or 'Non-member'.
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':
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