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decision_making/daily/regression/100000_UK_Used_Car_Data_set_B2/100000_UK_Used_Car_Data_set_B2_002.json

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+{
+  "id": "002",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "100000_UK_Used_Car_Data_set",
+  "table_path": "kaggle/100000_UK_Used_Car_Data_set",
+  "query": "Here are the details I've jotted down from these ads. Candidate one: Audi brand, A3 model, manufactured in 2015. They want 9989 for it. It's a manual transmission, diesel fuel type, and has no road tax to pay. The fuel efficiency is quite high at 83.1 mpg, and the engine is 1.6 litres. Candidate two is a BMW 3 Series from 2013, going for 9295. This is also a manual diesel car. The annual tax is 30, it achieves 62.8 mpg, and has a 2.0 engine size. Then we have candidate three, a 2015 Volkswagen Golf with a price tag of 14498. Its transmission is semi-auto, it runs on diesel, and the tax is 30. This one gets 62.8 mpg and has a 2.0 engine. With the goal of finding the one with the least distance traveled, what's your take?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "brand": "Audi",
+          "model": " A3",
+          "year": "2015",
+          "price": "9989",
+          "transmission": "Manual",
+          "mileage": "55122",
+          "fuelType": "Diesel",
+          "tax": "0",
+          "mpg": "83.1",
+          "engineSize": "1.6"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "brand": "BMW",
+          "model": " 3 Series",
+          "year": "2013",
+          "price": "9295",
+          "transmission": "Manual",
+          "mileage": "55125",
+          "fuelType": "Diesel",
+          "tax": "30",
+          "mpg": "62.8",
+          "engineSize": "2.0"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "brand": "Volkswagen",
+          "model": " Golf",
+          "year": "2015",
+          "price": "14498",
+          "transmission": "Semi-Auto",
+          "mileage": "55129",
+          "fuelType": "Diesel",
+          "tax": "30",
+          "mpg": "62.8",
+          "engineSize": "2.0"
+        }
+      }
+    ],
+    "target_column": "mileage",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/100000_UK_Used_Car_Data_set_B2/100000_UK_Used_Car_Data_set_B2_003.json

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+{
+  "id": "003",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "100000_UK_Used_Car_Data_set",
+  "table_path": "kaggle/100000_UK_Used_Car_Data_set",
+  "query": "I've got two used car listings in front of me that I'm trying to compare. The first one is a Ford Galaxy from 2016. It's listed for 12940, has a manual transmission, and runs on diesel. The road tax is 125, it gets about 56.5 miles per gallon, and it has a 2.0 litre engine. The other option is an Audi A3, but it's a bit older from 2013. That one is priced at 8990, is also a manual diesel, but has zero road tax. Its fuel efficiency is higher at 74.3 mpg, and it has a smaller 1.6 litre engine. Given all this, which one would be the better choice for someone who wants to keep their overall mileage as low as possible?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "brand": "Ford",
+          "model": " Galaxy",
+          "year": "2016",
+          "price": "12940",
+          "transmission": "Manual",
+          "mileage": "85259",
+          "fuelType": "Diesel",
+          "tax": "125",
+          "mpg": "56.5",
+          "engineSize": "2.0"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "brand": "Audi",
+          "model": " A3",
+          "year": "2013",
+          "price": "8990",
+          "transmission": "Manual",
+          "mileage": "85255",
+          "fuelType": "Diesel",
+          "tax": "0",
+          "mpg": "74.3",
+          "engineSize": "1.6"
+        }
+      }
+    ],
+    "target_column": "mileage",
+    "task_sub_type": "regression",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/100000_UK_Used_Car_Data_set_B2/current.csv

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+brand,model,year,price,transmission,mileage,fuelType,tax,mpg,engineSize
+Ford, Kuga,2017,12489,Manual,53628,Diesel,145,54.3,2.0
+BMW, 5 Series,2012,10750,Automatic,53632,Diesel,125,57.6,2.0
+Audi, A3,2015,9989,Manual,55122,Diesel,0,83.1,1.6
+BMW, 3 Series,2013,9295,Manual,55125,Diesel,30,62.8,2.0
+Volkswagen, Golf,2015,14498,Semi-Auto,55129,Diesel,30,62.8,2.0
+Ford, Galaxy,2016,12940,Manual,85259,Diesel,125,56.5,2.0
+Audi, A3,2013,8990,Manual,85255,Diesel,0,74.3,1.6
+Mercedes, S Class,2017,29890,Automatic,40952,Diesel,160,50.4,3.0
+Toyota, Prius,2009,5750,Automatic,40954,Hybrid,10,65.7,1.5
+Mercedes, E Class,2017,18000,Automatic,40953,Diesel,30,65.7,2.0
+Volkswagen, Golf,2015,14998,Manual,43116,Diesel,20,67.3,2.0
+Audi, A6,2017,19900,Semi-Auto,43113,Diesel,145,56.5,2.0
+BMW, 3 Series,2017,19490,Semi-Auto,41816,Diesel,145,64.2,2.0
+Mercedes, C Class,2017,14690,Manual,41814,Diesel,30,65.7,1.6
+Ford, C-MAX,2017,8699,Manual,41804,Petrol,160,44.1,1.6

decision_making/daily/regression/100000_UK_Used_Car_Data_set_B2/info_mod.json

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+{
+  "name": "100,000 UK Used Car Data set",
+  "source": "https://www.kaggle.com/datasets/adityadesai13/used-car-dataset-ford-and-mercedes/data",
+  "data_intro": "The cleaned data set contains information of price, transmission, mileage, fuel type, road tax, miles per gallon (mpg), and engine size. I've removed duplicate listings and cleaned the columns, but have included a notebook showing the process and the original data for anyone who wants to check/improve my work.",
+  "is_splited": false,
+  "overall_size": 108540,
+  "train_size": 0,
+  "test_size": 0,
+  "c_classes": 3,
+  "n_classes": 6,
+  "task_type": "regression",
+  "target": "mileage",
+  "cat_feature_intro": {
+    "brand": "brand: categorical feature inferred from dataset columns",
+    "transmission": "- transmission: The type of the car's transmission, Manual, Automatic, Semi-Auto, Automatic",
+    "fuelType": "- fuelType: The type of fuel used by the car, petrol, diesel, Hybrid"
+  },
+  "num_feature_intro": {
+    "year": "- year: The year the car was manufactured.",
+    "price": "- price: The asking prince of the car",
+    "tax": "- tax: The road tax for the car.",
+    "mpg": "-mpg :The miles per gallon (fuel efficiency) of the car.",
+    "engineSize": "- engineSize: The size of the car's engine."
+  },
+  "evaluation_metric": null,
+  "num_feature_value": {
+    "year": [
+      1970.0,
+      2060.0
+    ],
+    "price": [
+      450.0,
+      159999.0
+    ],
+    "tax": [
+      0.0,
+      580.0
+    ],
+    "mpg": [
+      0.3,
+      470.8
+    ],
+    "engineSize": [
+      0.0,
+      6.6
+    ]
+  },
+  "cat_feature_value": {
+    "brand": [
+      "Volkswagen",
+      "Ford",
+      "Vauxhall",
+      "Mercedes",
+      "BMW",
+      "Audi",
+      "Skoda",
+      "Toyota",
+      "Hyundi"
+    ],
+    "transmission": [
+      "Automatic",
+      "Manual",
+      "Other",
+      "Semi-Auto"
+    ],
+    "fuelType": [
+      "Diesel",
+      "Electric",
+      "Hybrid",
+      "Other",
+      "Petrol"
+    ]
+  },
+  "columns": [
+    "brand",
+    "model",
+    "year",
+    "price",
+    "transmission",
+    "mileage",
+    "fuelType",
+    "tax",
+    "mpg",
+    "engineSize"
+  ],
+  "feature_columns": [
+    "brand",
+    "model",
+    "year",
+    "price",
+    "transmission",
+    "fuelType",
+    "tax",
+    "mpg",
+    "engineSize"
+  ],
+  "feature_types": {
+    "brand": "categorical",
+    "model": "open_text",
+    "year": "numeric",
+    "price": "numeric",
+    "transmission": "categorical",
+    "fuelType": "categorical",
+    "tax": "numeric",
+    "mpg": "numeric",
+    "engineSize": "numeric"
+  },
+  "open_text_feature_intro": {
+    "model": "- model: specific model of the car produced by a manufacturer,' 1 Series', ' 2 Series', ' 3 Series', ' 4 Series', ' 5 Series', ' 6 Series', ' 7 Series', ' 8 Series', ' A Class', ' A1', ' A2', ' A3', ' A4', ' A5', ' A6', ' A7', ' A8', ' Accent', ' Adam', ' Agila', ' Amarok', ' Amica', ' Ampera', ' Antara', ' Arteon', ' Astra', ' Auris', ' Avensis', ' Aygo', ' B Class', ' B-MAX', ' Beetle', ' C Class', ' C-HR', ' C-MAX', ' CC', ' CL Class', ' CLA Class', ' CLC Class', ' CLK', ' CLS Class', ' Caddy', ' Caddy Life', ' Caddy Maxi', ' Caddy Maxi Life', ' California', ' Camry', ' Caravelle', ' Cascada', ' Citigo', ' Combo Life', ' Corolla', ' Corsa', ' Crossland X', ' E Class', ' EcoSport', ' Edge', ' Eos', ' Escort', ' Fabia', ' Fiesta', ' Focus', ' Fox', ' Fusion', ' G Class', ' GL Class', ' GLA Class', ' GLB Class', ' GLC Class', ' GLE Class', ' GLS Class', ' GT86', ' GTC', ' Galaxy', ' Getz', ' Golf', ' Golf SV', ' Grand C-MAX', ' Grand Tourneo Connect', ' Grandland X', ' Hilux', ' I10', ' I20', ' I30', ' I40', ' I800', ' IQ', ' IX20', ' IX35', ' Insignia', ' Ioniq', ' Jetta', ' KA', ' Ka+', ' Kadjar', ' Kamiq', ' Karoq', ' Kodiaq', ' Kona', ' Kuga', ' Land Cruiser', ' M Class', ' M2', ' M3', ' M4', ' M5', ' M6', ' Meriva', ' Mokka', ' Mokka X', ' Mondeo', ' Mustang', ' Octavia', ' PROACE VERSO', ' Passat', ' Polo', ' Prius', ' Puma', ' Q2', ' Q3', ' Q5', ' Q7', ' Q8', ' R Class', ' R8', ' RAV4', ' RS3', ' RS4', ' RS5', ' RS6', ' RS7', ' Ranger', ' Rapid', ' Roomster', ' S Class', ' S-MAX', ' S3', ' S4', ' S5', ' S8', ' SL CLASS', ' SLK', ' SQ5', ' SQ7', ' Santa Fe', ' Scala', ' Scirocco', ' Sharan', ' Shuttle', ' Streetka', ' Superb', ' Supra', ' T-Cross', ' T-Roc', ' TT', ' Terracan', ' Tigra', ' Tiguan', ' Tiguan Allspace', ' Touareg', ' Touran', ' Tourneo Connect', ' Tourneo Custom', ' Transit Tourneo', ' Tucson', ' Up', ' Urban Cruiser', ' V Class', ' Vectra', ' Veloster', ' Verso', ' Verso-S', ' Viva', ' Vivaro', ' X-CLASS', ' X1', ' X2', ' X3', ' X4', ' X5', ' X6', ' X7', ' Yaris', ' Yeti', ' Yeti Outdoor', ' Z3', ' Z4', ' Zafira', ' Zafira Tourer', ' i3', ' i8', '180', '200', '220', '230'"
+  },
+  "open_text_features": [
+    "model"
+  ],
+  "missing_from_original_info": [
+    "brand"
+  ]
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_001.json

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+{
+  "id": "001",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "Reviewing these three candidate files for a potential case study. File one details an Argentine Education channel. It holds a global rank of 528, with 17.2 million subscribers and over 11.4 billion video views. The upload count is 1,007. Its country abbreviation is AR, and it's classified as an Education channel type. More granular rankings place it at 353 for video views, 11 nationally, and 28 for its type. Recent 30-day metrics show 83,709,000 views and 100,000 new subscribers. Financial projections include a lowest monthly earning of 20,900, a lowest yearly of 251,100, and a ceiling of 4,000,000 yearly. The channel launched on March 3, 2015. Accompanying national statistics for Argentina indicate a 90.0% tertiary enrollment, a population of 44,938,712, 9.79% unemployment, and 41,339,571 people in urban areas, located at coordinates -38.416097, -63.616672.  The second file shifts focus to a Canadian Science & Technology channel, ranked 815th globally. Subscriber count is 13.8 million, with total views around 1.82 billion across 887 uploads. Abbreviated CA, its channel type is Tech. It ranks 5,524th for video views, 10th in Canada, and 14th among Tech channels. Last month's activity was 83,943,000 views and 100,000 new subscribers. Earnings estimates start at 21,000 monthly, 251,800 yearly at the low end, and go up to 4,000,000 yearly at the high end. Its creation date is April 20, 2006. Canada's profile notes 68.9% tertiary enrollment, a population of 36,991,981, a 5.56% unemployment rate, and 30,628,482 urban residents, with geographical coordinates of 56.130366, -106.346771.  A third file presents a Brazilian Entertainment channel, globally ranked 205th. It has 26.9 million subscribers and nearly 7.94 billion views from 3,956 uploads. The country code is BR, and the channel type is Entertainment. It's ranked 664th for video views, 11th in Brazil, and 54th in its channel type category. The latest 30-day figures are 82,912,000 views and 200,000 new subscribers. On earnings, the low-end monthly is 20,700, the low-end yearly is 248,700, and the high-end yearly is 4,000,000. This channel was created on September 29, 2011. Brazil's data includes a 51.3% tertiary enrollment rate, a massive population of 212,559,417, a 12.08% unemployment rate, and 183,241,641 urban inhabitants, situated at latitude -14.235004 and longitude -51.92528.  I need to identify the one with the smallest top-end monthly earnings projection. Can you point it out?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "rank": "528",
+          "Youtuber": null,
+          "subscribers": "17200000",
+          "video views": "11445492404.0",
+          "category": "Education",
+          "Title": null,
+          "uploads": "1007",
+          "Country": "Argentina",
+          "Abbreviation": "AR",
+          "channel_type": "Education",
+          "video_views_rank": "353.0",
+          "country_rank": "11.0",
+          "channel_type_rank": "28.0",
+          "video_views_for_the_last_30_days": "83709000.0",
+          "lowest_monthly_earnings": "20900.0",
+          "highest_monthly_earnings": "334800.0",
+          "lowest_yearly_earnings": "251100.0",
+          "highest_yearly_earnings": "4000000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2015.0",
+          "created_month": "Mar",
+          "created_date": "3.0",
+          "Gross tertiary education enrollment (%)": "90.0",
+          "Population": "44938712.0",
+          "Unemployment rate": "9.79",
+          "Urban_population": "41339571.0",
+          "Latitude": "-38.416097",
+          "Longitude": "-63.616672"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "rank": "815",
+          "Youtuber": null,
+          "subscribers": "13800000",
+          "video views": "1820559912.0",
+          "category": "Science & Technology",
+          "Title": null,
+          "uploads": "887",
+          "Country": "Canada",
+          "Abbreviation": "CA",
+          "channel_type": "Tech",
+          "video_views_rank": "5524.0",
+          "country_rank": "10.0",
+          "channel_type_rank": "14.0",
+          "video_views_for_the_last_30_days": "83943000.0",
+          "lowest_monthly_earnings": "21000.0",
+          "highest_monthly_earnings": "335800.0",
+          "lowest_yearly_earnings": "251800.0",
+          "highest_yearly_earnings": "4000000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2006.0",
+          "created_month": "Apr",
+          "created_date": "20.0",
+          "Gross tertiary education enrollment (%)": "68.9",
+          "Population": "36991981.0",
+          "Unemployment rate": "5.56",
+          "Urban_population": "30628482.0",
+          "Latitude": "56.130366",
+          "Longitude": "-106.346771"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "rank": "205",
+          "Youtuber": null,
+          "subscribers": "26900000",
+          "video views": "7938616641.0",
+          "category": "Entertainment",
+          "Title": null,
+          "uploads": "3956",
+          "Country": "Brazil",
+          "Abbreviation": "BR",
+          "channel_type": "Entertainment",
+          "video_views_rank": "664.0",
+          "country_rank": "11.0",
+          "channel_type_rank": "54.0",
+          "video_views_for_the_last_30_days": "82912000.0",
+          "lowest_monthly_earnings": "20700.0",
+          "highest_monthly_earnings": "331600.0",
+          "lowest_yearly_earnings": "248700.0",
+          "highest_yearly_earnings": "4000000.0",
+          "subscribers_for_last_30_days": "200000.0",
+          "created_year": "2011.0",
+          "created_month": "Sep",
+          "created_date": "29.0",
+          "Gross tertiary education enrollment (%)": "51.3",
+          "Population": "212559417.0",
+          "Unemployment rate": "12.08",
+          "Urban_population": "183241641.0",
+          "Latitude": "-14.235004",
+          "Longitude": "-51.92528"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "003",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_002.json

@@ -0,0 +1,124 @@
+{
+  "id": "002",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "Let's break down these options. Option one is ranked 12th, has 96,000,000 subscribers, and 77,428,473,662.0 video views in the Sports category. Upload count is 70,127. It's from the United States (US), and the channel_type is Sports. Its video_views_rank is 7.0, country_rank is 6.0, and channel_type_rank is 1.0. For the last 30 days, video views were 714,614,000.0. The lowest_monthly_earnings are 178,700.0, lowest_yearly_earnings 2,100,000.0, and highest_yearly_earnings 34,300,000.0. It gained 600,000.0 subscribers last month. Created in 2007.0, month of May, on the 11.0. The associated Gross tertiary education enrollment is 88.2%, Population 328,239,523.0, Unemployment rate 14.7, Urban_population 270,663,028.0, Latitude 37.09024, Longitude -95.712891.  Option two shows a rank of 295, 23,000,000 subscribers, and 31,494,513,067.0 video views under the Entertainment category but a Comedy channel_type with 2,905 uploads. Country is Germany (DE). Its ranks are 34.0 for views, 1.0 in country, and 15.0 for channel type. Last 30-day views are 756,717,000.0. Earnings: lowest_monthly_earnings 189,200.0, lowest_yearly_earnings 2,300,000.0, highest_yearly_earnings 36,300,000.0. Subscribers_for_last_30_days: 800,000.0. Created_year 2019.0, created_month Jul, created_date 10.0. Country stats: Gross tertiary education enrollment 70.2%, Population 83,132,799.0, Unemployment rate 3.04, Urban_population 64,324,835.0, Latitude 51.165691, Longitude 10.451526.  Option three has a rank of 142, 31,900,000 subscribers, 19,428,308,461.0 video views, category Entertainment, channel_type Entertainment, and 93,311 uploads. From the Philippines (PH). Its video_views_rank is 129.0, country_rank 2.0, channel_type_rank 41.0. Video_views_for_the_last_30_days: 798,510,000.0. Lowest_monthly_earnings: 199,600.0, lowest_yearly_earnings: 2,400,000.0, highest_yearly_earnings: 38,300,000.0. Subscribers_for_last_30_days: 500,000.0. Created_year 2006.0, created_month Nov, created_date 20.0. Country data: Gross tertiary education enrollment 35.5%, Population 108,116,615.0, Unemployment rate 2.15, Urban_population 50,975,903.0, Latitude 12.879721, Longitude 121.774017.  I need to choose the candidate with the smallest figure for the top monthly earnings. Point me to it?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "rank": "12",
+          "Youtuber": null,
+          "subscribers": "96000000",
+          "video views": "77428473662.0",
+          "category": "Sports",
+          "Title": null,
+          "uploads": "70127",
+          "Country": "United States",
+          "Abbreviation": "US",
+          "channel_type": "Sports",
+          "video_views_rank": "7.0",
+          "country_rank": "6.0",
+          "channel_type_rank": "1.0",
+          "video_views_for_the_last_30_days": "714614000.0",
+          "lowest_monthly_earnings": "178700.0",
+          "highest_monthly_earnings": "2900000.0",
+          "lowest_yearly_earnings": "2100000.0",
+          "highest_yearly_earnings": "34300000.0",
+          "subscribers_for_last_30_days": "600000.0",
+          "created_year": "2007.0",
+          "created_month": "May",
+          "created_date": "11.0",
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": "37.09024",
+          "Longitude": "-95.712891"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "rank": "295",
+          "Youtuber": null,
+          "subscribers": "23000000",
+          "video views": "31494513067.0",
+          "category": "Entertainment",
+          "Title": null,
+          "uploads": "2905",
+          "Country": "Germany",
+          "Abbreviation": "DE",
+          "channel_type": "Comedy",
+          "video_views_rank": "34.0",
+          "country_rank": "1.0",
+          "channel_type_rank": "15.0",
+          "video_views_for_the_last_30_days": "756717000.0",
+          "lowest_monthly_earnings": "189200.0",
+          "highest_monthly_earnings": "3000000.0",
+          "lowest_yearly_earnings": "2300000.0",
+          "highest_yearly_earnings": "36300000.0",
+          "subscribers_for_last_30_days": "800000.0",
+          "created_year": "2019.0",
+          "created_month": "Jul",
+          "created_date": "10.0",
+          "Gross tertiary education enrollment (%)": "70.2",
+          "Population": "83132799.0",
+          "Unemployment rate": "3.04",
+          "Urban_population": "64324835.0",
+          "Latitude": "51.165691",
+          "Longitude": "10.451526"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "rank": "142",
+          "Youtuber": null,
+          "subscribers": "31900000",
+          "video views": "19428308461.0",
+          "category": "Entertainment",
+          "Title": null,
+          "uploads": "93311",
+          "Country": "Philippines",
+          "Abbreviation": "PH",
+          "channel_type": "Entertainment",
+          "video_views_rank": "129.0",
+          "country_rank": "2.0",
+          "channel_type_rank": "41.0",
+          "video_views_for_the_last_30_days": "798510000.0",
+          "lowest_monthly_earnings": "199600.0",
+          "highest_monthly_earnings": "3200000.0",
+          "lowest_yearly_earnings": "2400000.0",
+          "highest_yearly_earnings": "38300000.0",
+          "subscribers_for_last_30_days": "500000.0",
+          "created_year": "2006.0",
+          "created_month": "Nov",
+          "created_date": "20.0",
+          "Gross tertiary education enrollment (%)": "35.5",
+          "Population": "108116615.0",
+          "Unemployment rate": "2.15",
+          "Urban_population": "50975903.0",
+          "Latitude": "12.879721",
+          "Longitude": "121.774017"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_003.json

@@ -0,0 +1,124 @@
+{
+  "id": "003",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "Three potential channels are on the table for review. Record one shows a global rank of 722 for an Education channel with 14,700,000 subscribers. The upload count is 1,996. This United States-based entity is ranked 154th nationally and 36th by type. Video views for the last month totaled 79,402,000. Yearly earnings range from a low of $238,200 to a high of $3,800,000, and subscriber growth last month was 100,000. It was created on January 28, 2012. The country's tertiary enrollment is 88.2%, population is 328,239,523, unemployment is 14.7%, urban population is 270,663,028, and its latitude is 37.09024.  A second record presents a channel ranked 355th globally, belonging to the Entertainment category. It has 21,000,000 subscribers from 420 uploads and is located in the US (abbreviation US). Its video views rank is 398.0, its US rank is 100.0, and its channel type rank is 95.0. The last 30 days saw 80,062,000 views. Monthly earnings bottom out at $20,000, while yearly earnings span from $240,200 to $3,800,000. The creation year is 2013 in March. The accompanying US data lists an 88.2% tertiary enrollment, 328,239,523 people, a 14.7% jobless rate, and 270,663,028 in urban areas.  The final option is a Comedy channel from India (IN). It has uploaded 186 videos and holds a channel type rank of 2.0. Last month's views were 78,688,000. The lowest monthly earnings are $19,700, and the lowest yearly are $236,100. It gained 700,000 subscribers in that period. This channel was created on October 30, 2014. For India, tertiary enrollment is 28.1%, population is 1,366,417,754, unemployment is 5.36%, urban population is 471,031,528, and the location is latitude 20.593684, longitude 78.96288.  Based purely on the top-end monthly earnings, which one appears to be the lowest?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "rank": "722",
+          "Youtuber": null,
+          "subscribers": "14700000",
+          "video views": null,
+          "category": "Education",
+          "Title": null,
+          "uploads": "1996",
+          "Country": "United States",
+          "Abbreviation": null,
+          "channel_type": null,
+          "video_views_rank": null,
+          "country_rank": "154.0",
+          "channel_type_rank": "36.0",
+          "video_views_for_the_last_30_days": "79402000.0",
+          "lowest_monthly_earnings": null,
+          "highest_monthly_earnings": "317600.0",
+          "lowest_yearly_earnings": "238200.0",
+          "highest_yearly_earnings": "3800000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2012.0",
+          "created_month": "Jan",
+          "created_date": "28.0",
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": "37.09024",
+          "Longitude": null
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "rank": "355",
+          "Youtuber": null,
+          "subscribers": "21000000",
+          "video views": null,
+          "category": null,
+          "Title": null,
+          "uploads": "420",
+          "Country": "United States",
+          "Abbreviation": "US",
+          "channel_type": "Entertainment",
+          "video_views_rank": "398.0",
+          "country_rank": "100.0",
+          "channel_type_rank": "95.0",
+          "video_views_for_the_last_30_days": "80062000.0",
+          "lowest_monthly_earnings": "20000.0",
+          "highest_monthly_earnings": "320200.0",
+          "lowest_yearly_earnings": "240200.0",
+          "highest_yearly_earnings": "3800000.0",
+          "subscribers_for_last_30_days": null,
+          "created_year": "2013.0",
+          "created_month": "Mar",
+          "created_date": null,
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": null,
+          "Longitude": null
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "rank": null,
+          "Youtuber": null,
+          "subscribers": null,
+          "video views": null,
+          "category": "Comedy",
+          "Title": null,
+          "uploads": "186",
+          "Country": "India",
+          "Abbreviation": "IN",
+          "channel_type": null,
+          "video_views_rank": null,
+          "country_rank": null,
+          "channel_type_rank": "2.0",
+          "video_views_for_the_last_30_days": "78688000.0",
+          "lowest_monthly_earnings": "19700.0",
+          "highest_monthly_earnings": "314800.0",
+          "lowest_yearly_earnings": "236100.0",
+          "highest_yearly_earnings": null,
+          "subscribers_for_last_30_days": "700000.0",
+          "created_year": "2014.0",
+          "created_month": "Oct",
+          "created_date": "30.0",
+          "Gross tertiary education enrollment (%)": "28.1",
+          "Population": "1366417754.0",
+          "Unemployment rate": "5.36",
+          "Urban_population": "471031528.0",
+          "Latitude": "20.593684",
+          "Longitude": "78.96288"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "003",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_004.json

@@ -0,0 +1,124 @@
+{
+  "id": "004",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "Three new records are on deck. First, from Mexico, a Gaming/Games channel. Overall rank 776, with 14,200,000 subscribers and 1,300 uploads leading to 3,920,559,552 total views (video views rank 1971). Its country rank is 28, and channel type rank is 54. Performance in the latest 30-day window: 44,575,000 video views and 200,000 new subscribers. The earnings bracket shows a lowest monthly of 11100.0, a lowest yearly of 133700.0, and a highest yearly of 2100000.0. The channel started on created_date 13.0 in created_month Jan of created_year 2016.0. The associated country has a Gross tertiary education enrollment (%) of 40.2, a Population of 126014024.0, an Unemployment rate of 3.42, and an Urban_population of 102626859.0. Its Latitude is 23.634501 and Longitude is -102.552784.  Next, a United States candidate in Entertainment, categorized as People. It's ranked 866th, has 13,300,000 subscribers, and 3,166 uploads resulting in 4,177,184,071 video views (rank 1789). The country_rank is 167, and channel_type_rank is 54. For the last 30 days, video_views_for_the_last_30_days hit 45095000.0 and subscribers_for_last_30_days were 100000.0. Its lowest_monthly_earnings are 11300.0, lowest_yearly_earnings are 135300.0, and highest_yearly_earnings are 2200000.0. The channel was created in created_month Jun, on created_date 29.0, of created_year 2008.0. The national figures are Gross tertiary education enrollment (%) 88.2, Population 328239523.0, Unemployment rate 14.7, Urban_population 270663028.0, Latitude 37.09024, Longitude -95.712891.  Finally, a Thai Entertainment channel of the Entertainment type. Ranked 747, it boasts 14,500,000 subscribers and a staggering 68,606 uploads, which generated 9,383,692,066 video views (earning a video_views_rank of 502). Its country_rank is 13, and channel_type_rank is 151. Recent activity: 45,622,000 views and 100,000 new subscribers in the past month. Earnings estimates: lowest_monthly_earnings 11400.0, lowest_yearly_earnings 136900.0, highest_yearly_earnings 2200000.0. Creation details are created_year 2011.0, created_month Jun, created_date 8.0. Thailand's stats: Gross tertiary education enrollment (%) 49.3, Population 69625582.0, Unemployment rate 0.75, Urban_population 35294600.0, Latitude 15.870032, Longitude 100.992541.  I have past logs to verify patterns. Who meets our low-end target for peak monthly income?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "rank": "776",
+          "Youtuber": null,
+          "subscribers": "14200000",
+          "video views": "3920559552.0",
+          "category": "Gaming",
+          "Title": null,
+          "uploads": "1300",
+          "Country": "Mexico",
+          "Abbreviation": "MX",
+          "channel_type": "Games",
+          "video_views_rank": "1971.0",
+          "country_rank": "28.0",
+          "channel_type_rank": "54.0",
+          "video_views_for_the_last_30_days": "44575000.0",
+          "lowest_monthly_earnings": "11100.0",
+          "highest_monthly_earnings": "178300.0",
+          "lowest_yearly_earnings": "133700.0",
+          "highest_yearly_earnings": "2100000.0",
+          "subscribers_for_last_30_days": "200000.0",
+          "created_year": "2016.0",
+          "created_month": "Jan",
+          "created_date": "13.0",
+          "Gross tertiary education enrollment (%)": "40.2",
+          "Population": "126014024.0",
+          "Unemployment rate": "3.42",
+          "Urban_population": "102626859.0",
+          "Latitude": "23.634501",
+          "Longitude": "-102.552784"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "rank": "866",
+          "Youtuber": null,
+          "subscribers": "13300000",
+          "video views": "4177184071.0",
+          "category": "Entertainment",
+          "Title": null,
+          "uploads": "3166",
+          "Country": "United States",
+          "Abbreviation": "US",
+          "channel_type": "People",
+          "video_views_rank": "1789.0",
+          "country_rank": "167.0",
+          "channel_type_rank": "54.0",
+          "video_views_for_the_last_30_days": "45095000.0",
+          "lowest_monthly_earnings": "11300.0",
+          "highest_monthly_earnings": "180400.0",
+          "lowest_yearly_earnings": "135300.0",
+          "highest_yearly_earnings": "2200000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2008.0",
+          "created_month": "Jun",
+          "created_date": "29.0",
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": "37.09024",
+          "Longitude": "-95.712891"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "rank": "747",
+          "Youtuber": null,
+          "subscribers": "14500000",
+          "video views": "9383692066.0",
+          "category": "Entertainment",
+          "Title": null,
+          "uploads": "68606",
+          "Country": "Thailand",
+          "Abbreviation": "TH",
+          "channel_type": "Entertainment",
+          "video_views_rank": "502.0",
+          "country_rank": "13.0",
+          "channel_type_rank": "151.0",
+          "video_views_for_the_last_30_days": "45622000.0",
+          "lowest_monthly_earnings": "11400.0",
+          "highest_monthly_earnings": "182500.0",
+          "lowest_yearly_earnings": "136900.0",
+          "highest_yearly_earnings": "2200000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2011.0",
+          "created_month": "Jun",
+          "created_date": "8.0",
+          "Gross tertiary education enrollment (%)": "49.3",
+          "Population": "69625582.0",
+          "Unemployment rate": "0.75",
+          "Urban_population": "35294600.0",
+          "Latitude": "15.870032",
+          "Longitude": "100.992541"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_005.json

@@ -0,0 +1,124 @@
+{
+  "id": "005",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "Starting with the one ranked 173rd globally, it boasts 29,600,000 subscribers and a staggering 17,208,027,242 total video views from 4,903 uploads, all under the Music category in the United States (US). Its specific ranks are 165 for video views, 50 within its country, and 56 for its channel type. Performance over the last month was 81,884,000 views. The earnings spectrum runs from a low of $20,500 monthly and $245,700 yearly up to a high of $3,900,000 yearly. This channel's origin dates to October 24, 2006. The associated US data includes an 88.2% tertiary education rate, a population of 328,239,523, a 14.7% unemployment rate, 270,663,028 urban inhabitants, and the geographical coordinates 37.09024, -95.712891.  Another contender holds the 372nd rank, with 20,600,000 subscribers and 10,292,874,715 views across 156 uploads, also categorized as Music but based in Sweden (SE). Its rank for video views is 421, yet it's the premier channel in Sweden (rank 1) and 92nd among music types. It garnered 81,236,000 views in the past 30 days. Projected earnings have a lower bound of $20,300 per month and $243,700 per year, with an upper yearly bound of $3,900,000. The channel was created on October 28, 2009. Sweden's profile shows a 67.0% tertiary enrollment, 10,285,453 population, 6.48% unemployment, 9,021,165 urban population, at latitude 60.128161 and longitude 18.643501.  The third and final current option is ranked 308th. It has accumulated 22,600,000 subscribers and 14,231,943,358 video views from 180 uploads, operating in the Music space from the United States. Its video views rank is 246, its country rank is 88, and its channel type rank is 84. The last 30 days saw 81,660,000 views and a gain of 100,000 new subscribers. The low-end earnings are $20,400 monthly and $245,000 annually, with a high annual potential of $3,900,000. Its creation date is September 22, 2012. The US country data is consistent: 88.2% enrollment, 328,239,523 population, 14.7% unemployment, 270,663,028 urban population, latitude 37.09024, longitude -95.712891.  To meet our target, which record should we select for the highest monthly earnings?  My old files help put these three new music channel candidates into perspective.",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "rank": "173",
+          "Youtuber": null,
+          "subscribers": "29600000",
+          "video views": "17208027242.0",
+          "category": "Music",
+          "Title": null,
+          "uploads": "4903",
+          "Country": "United States",
+          "Abbreviation": "US",
+          "channel_type": "Music",
+          "video_views_rank": "165.0",
+          "country_rank": "50.0",
+          "channel_type_rank": "56.0",
+          "video_views_for_the_last_30_days": "81884000.0",
+          "lowest_monthly_earnings": "20500.0",
+          "highest_monthly_earnings": "327500.0",
+          "lowest_yearly_earnings": "245700.0",
+          "highest_yearly_earnings": "3900000.0",
+          "subscribers_for_last_30_days": null,
+          "created_year": "2006.0",
+          "created_month": "Oct",
+          "created_date": "24.0",
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": "37.09024",
+          "Longitude": "-95.712891"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "rank": "372",
+          "Youtuber": null,
+          "subscribers": "20600000",
+          "video views": "10292874715.0",
+          "category": "Music",
+          "Title": null,
+          "uploads": "156",
+          "Country": "Sweden",
+          "Abbreviation": "SE",
+          "channel_type": "Music",
+          "video_views_rank": "421.0",
+          "country_rank": "1.0",
+          "channel_type_rank": "92.0",
+          "video_views_for_the_last_30_days": "81236000.0",
+          "lowest_monthly_earnings": "20300.0",
+          "highest_monthly_earnings": "324900.0",
+          "lowest_yearly_earnings": "243700.0",
+          "highest_yearly_earnings": "3900000.0",
+          "subscribers_for_last_30_days": null,
+          "created_year": "2009.0",
+          "created_month": "Oct",
+          "created_date": "28.0",
+          "Gross tertiary education enrollment (%)": "67.0",
+          "Population": "10285453.0",
+          "Unemployment rate": "6.48",
+          "Urban_population": "9021165.0",
+          "Latitude": "60.128161",
+          "Longitude": "18.643501"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "rank": "308",
+          "Youtuber": null,
+          "subscribers": "22600000",
+          "video views": "14231943358.0",
+          "category": "Music",
+          "Title": null,
+          "uploads": "180",
+          "Country": "United States",
+          "Abbreviation": "US",
+          "channel_type": "Music",
+          "video_views_rank": "246.0",
+          "country_rank": "88.0",
+          "channel_type_rank": "84.0",
+          "video_views_for_the_last_30_days": "81660000.0",
+          "lowest_monthly_earnings": "20400.0",
+          "highest_monthly_earnings": "326600.0",
+          "lowest_yearly_earnings": "245000.0",
+          "highest_yearly_earnings": "3900000.0",
+          "subscribers_for_last_30_days": "100000.0",
+          "created_year": "2012.0",
+          "created_month": "Sep",
+          "created_date": "22.0",
+          "Gross tertiary education enrollment (%)": "88.2",
+          "Population": "328239523.0",
+          "Unemployment rate": "14.7",
+          "Urban_population": "270663028.0",
+          "Latitude": "37.09024",
+          "Longitude": "-95.712891"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/Global_YouTube_Statistics_2023_B2_006.json

@@ -0,0 +1,91 @@
+{
+  "id": "006",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Global_YouTube_Statistics_2023",
+  "table_path": "kaggle/Global_YouTube_Statistics_2023",
+  "query": "I'm looking at two new channel profiles to benchmark against our historical data. Option A is ranked 145th, a Music channel from India with 31.7 million subscribers. Their total video views stand at 16,476,978,876. The channel type rank is 48.0. On the earnings side, the lowest monthly is 28,200, the lowest yearly is 337,900, and the highest yearly peaks at 5,400,000. This channel was created in the month of March, specifically on the 15th. The supporting country metrics are a 28.1% tertiary education enrollment, a total Population of 1,366,417,754, an Urban_population of 471,031,528, and it's situated at Latitude 20.593684, Longitude 78.96288.  Option B is an Education channel at rank 384, with 20.3 million subscribers and 11,819,051,552 views from 875 uploads. Its country code is ID. It holds a video views rank of 332.0 and a country rank of 10.0. Video views for the last 30 days were 112,768,000. Its earnings show a lowest monthly of 28,200 and a highest yearly of 5,400,000. The channel was created in January of 2019. Its country has a 36.3% Gross tertiary education enrollment, a 4.69 Unemployment rate, an Urban_population of 151,509,724, and is located at Latitude -0.789275, Longitude 113.921327.  My goal is to pinpoint the one with the highest monthly potential—got a recommendation based on these details?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
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+          "Youtuber": null,
+          "subscribers": "31700000",
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+          "Country": "India",
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+          "channel_type": "Music",
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+          "channel_type_rank": "48.0",
+          "video_views_for_the_last_30_days": null,
+          "lowest_monthly_earnings": "28200.0",
+          "highest_monthly_earnings": "450600.0",
+          "lowest_yearly_earnings": "337900.0",
+          "highest_yearly_earnings": "5400000.0",
+          "subscribers_for_last_30_days": null,
+          "created_year": null,
+          "created_month": "Mar",
+          "created_date": "15.0",
+          "Gross tertiary education enrollment (%)": "28.1",
+          "Population": "1366417754.0",
+          "Unemployment rate": null,
+          "Urban_population": "471031528.0",
+          "Latitude": "20.593684",
+          "Longitude": "78.96288"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
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+          "Youtuber": null,
+          "subscribers": "20300000",
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+          "Abbreviation": "ID",
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+          "lowest_yearly_earnings": null,
+          "highest_yearly_earnings": "5400000.0",
+          "subscribers_for_last_30_days": null,
+          "created_year": "2019.0",
+          "created_month": "Jan",
+          "created_date": null,
+          "Gross tertiary education enrollment (%)": "36.3",
+          "Population": null,
+          "Unemployment rate": "4.69",
+          "Urban_population": "151509724.0",
+          "Latitude": "-0.789275",
+          "Longitude": "113.921327"
+        }
+      }
+    ],
+    "target_column": "highest_monthly_earnings",
+    "task_sub_type": "regression",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/current.csv

@@ -0,0 +1,18 @@
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+355,Lyrical Lemonade,21000000,10631638628.0,Entertainment,Lyrical Lemonade,420,United States,US,Entertainment,398.0,100.0,95.0,80062000.0,20000.0,320200.0,240200.0,3800000.0,100000.0,2013.0,Mar,25.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
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+776,E-MasterSensei,14200000,3920559552.0,Gaming,E-MasterSensei,1300,Mexico,MX,Games,1971.0,28.0,54.0,44575000.0,11100.0,178300.0,133700.0,2100000.0,200000.0,2016.0,Jan,13.0,40.2,126014024.0,3.42,102626859.0,23.634501,-102.552784
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+747,GMM25Thailand,14500000,9383692066.0,Entertainment,GMM25Thailand,68606,Thailand,TH,Entertainment,502.0,13.0,151.0,45622000.0,11400.0,182500.0,136900.0,2200000.0,100000.0,2011.0,Jun,8.0,49.3,69625582.0,0.75,35294600.0,15.870032,100.992541
+173,Ultra Records,29600000,17208027242.0,Music,Ultra Records,4903,United States,US,Music,165.0,50.0,56.0,81884000.0,20500.0,327500.0,245700.0,3900000.0,,2006.0,Oct,24.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+372,Avicii,20600000,10292874715.0,Music,Avicii,156,Sweden,SE,Music,421.0,1.0,92.0,81236000.0,20300.0,324900.0,243700.0,3900000.0,,2009.0,Oct,28.0,67.0,10285453.0,6.48,9021165.0,60.128161,18.643501
+308,The Chainsmokers,22600000,14231943358.0,Music,The Chainsmokers,180,United States,US,Music,246.0,88.0,84.0,81660000.0,20400.0,326600.0,245000.0,3900000.0,100000.0,2012.0,Sep,22.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+145,Worldwide Records Bhojpuri,31700000,16476978876.0,Music,Worldwide Records Bhojpuri,6518,India,IN,Music,177.0,39.0,48.0,112648000.0,28200.0,450600.0,337900.0,5400000.0,200000.0,2012.0,Mar,15.0,28.1,1366417754.0,5.36,471031528.0,20.593684,78.96288
+384,BabyBus - Cerita & Lagu Anak-anak,20300000,11819051552.0,Education,BabyBus - Cerita & Lagu Anak-anak,875,Indonesia,ID,Education,332.0,10.0,22.0,112768000.0,28200.0,451100.0,338300.0,5400000.0,100000.0,2019.0,Jan,14.0,36.3,270203917.0,4.69,151509724.0,-0.789275,113.921327

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/info.json

@@ -0,0 +1,288 @@
+{
+    "name": "Global YouTube Statistics 2023",
+    "source": "https://www.kaggle.com/datasets/nelgiriyewithana/global-youtube-statistics-2023/data",
+    "data_intro": "A collection of YouTube giants, this dataset offers a perfect avenue to analyze and gain valuable insights from the luminaries of the platform. With comprehensive details on top creators' subscriber counts, video views, upload frequency, country of origin, earnings, and more, this treasure trove of information is a must-explore for aspiring content creators, data enthusiasts, and anyone intrigued by the ever-evolving online content landscape. Immerse yourself in the world of YouTube success and unlock a wealth of knowledge with this extraordinary dataset.",
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+        "Title": "Title of the YouTube channel",
+        "Country": "Longitude coordinate of the country's location",
+        "Abbreviation": "Abbreviation of the country",
+        "channel_type": "Ranking of the channel based on its type (individual or brand)",
+        "created_month": "Month when the YouTube channel was created"
+    },
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+        "subscribers": "Number of new subscribers gained in the last 30 days",
+        "video views": "Total video views in the last 30 days",
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+        "video_views_rank": "Ranking of the channel based on total video views",
+        "country_rank": "Ranking of the channel based on the number of subscribers within its country",
+        "channel_type_rank": "Ranking of the channel based on its type (individual or brand)",
+        "video_views_for_the_last_30_days": "Total video views in the last 30 days",
+        "lowest_monthly_earnings": "Lowest estimated monthly earnings from the channel",
+        "highest_monthly_earnings": "Highest estimated monthly earnings from the channel",
+        "lowest_yearly_earnings": "Lowest estimated yearly earnings from the channel",
+        "highest_yearly_earnings": "Highest estimated yearly earnings from the channel",
+        "subscribers_for_last_30_days": "Number of new subscribers gained in the last 30 days",
+        "created_year": "Year when the YouTube channel was created",
+        "created_date": "Exact date of the YouTube channel's creation",
+        "Gross tertiary education enrollment (%)": "Percentage of the population enrolled in tertiary education in the country",
+        "Population": "Percentage of the population living in urban areas",
+        "Unemployment rate": "Unemployment rate in the country",
+        "Urban_population": "Percentage of the population living in urban areas",
+        "Latitude": "Latitude coordinate of the country's location",
+        "Longitude": "Longitude coordinate of the country's location"
+    },
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+    "task_type": "regression",
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+            113.1
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+            "Canada",
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+            "China",
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+            "Ecuador",
+            "Egypt",
+            "El Salvador",
+            "Finland",
+            "France",
+            "Germany",
+            "India",
+            "Indonesia",
+            "Iraq",
+            "Italy",
+            "Japan",
+            "Jordan",
+            "Kuwait",
+            "Latvia",
+            "Malaysia",
+            "Mexico",
+            "Morocco",
+            "Netherlands",
+            "Pakistan",
+            "Peru",
+            "Philippines",
+            "Russia",
+            "Samoa",
+            "Saudi Arabia",
+            "Singapore",
+            "South Korea",
+            "Spain",
+            "Sweden",
+            "Switzerland",
+            "Thailand",
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+            "United Arab Emirates",
+            "United Kingdom",
+            "United States",
+            "Venezuela",
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+            "Comedy",
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+            "Nonprofits & Activism",
+            "People & Blogs",
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+            "Sports",
+            "Trailers",
+            "Travel & Events"
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+            "May",
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+        ]
+    }
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/info_mod.json

@@ -0,0 +1,376 @@
+{
+  "name": "Global YouTube Statistics 2023",
+  "source": "https://www.kaggle.com/datasets/nelgiriyewithana/global-youtube-statistics-2023/data",
+  "data_intro": "A collection of YouTube giants, this dataset offers a perfect avenue to analyze and gain valuable insights from the luminaries of the platform. With comprehensive details on top creators' subscriber counts, video views, upload frequency, country of origin, earnings, and more, this treasure trove of information is a must-explore for aspiring content creators, data enthusiasts, and anyone intrigued by the ever-evolving online content landscape. Immerse yourself in the world of YouTube success and unlock a wealth of knowledge with this extraordinary dataset.",
+  "is_splited": false,
+  "overall_size": 995,
+  "train_size": 0,
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+  "c_classes": 7,
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+    "Abbreviation": "Abbreviation of the country",
+    "channel_type": "Ranking of the channel based on its type (individual or brand)",
+    "created_month": "Month when the YouTube channel was created"
+  },
+  "num_feature_intro": {
+    "rank": "Ranking of the channel based on its type (individual or brand)",
+    "subscribers": "Number of new subscribers gained in the last 30 days",
+    "video views": "Total video views in the last 30 days",
+    "uploads": "Total number of videos uploaded on the channel",
+    "video_views_rank": "Ranking of the channel based on total video views",
+    "country_rank": "Ranking of the channel based on the number of subscribers within its country",
+    "channel_type_rank": "Ranking of the channel based on its type (individual or brand)",
+    "video_views_for_the_last_30_days": "Total video views in the last 30 days",
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+    "lowest_yearly_earnings": "Lowest estimated yearly earnings from the channel",
+    "highest_yearly_earnings": "Highest estimated yearly earnings from the channel",
+    "subscribers_for_last_30_days": "Number of new subscribers gained in the last 30 days",
+    "created_year": "Year when the YouTube channel was created",
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+    "Gross tertiary education enrollment (%)": "Percentage of the population enrolled in tertiary education in the country",
+    "Population": "Percentage of the population living in urban areas",
+    "Unemployment rate": "Unemployment rate in the country",
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+    "Latitude": "Latitude coordinate of the country's location",
+    "Longitude": "Longitude coordinate of the country's location"
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+  },
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+      "Mexico",
+      "Morocco",
+      "Netherlands",
+      "Pakistan",
+      "Peru",
+      "Philippines",
+      "Russia",
+      "Samoa",
+      "Saudi Arabia",
+      "Singapore",
+      "South Korea",
+      "Spain",
+      "Sweden",
+      "Switzerland",
+      "Thailand",
+      "Turkey",
+      "Ukraine",
+      "United Arab Emirates",
+      "United Kingdom",
+      "United States",
+      "Venezuela",
+      "Vietnam"
+    ],
+    "Abbreviation": [
+      "AD",
+      "AE",
+      "AF",
+      "AR",
+      "AU",
+      "BB",
+      "BD",
+      "BR",
+      "CA",
+      "CH",
+      "CL",
+      "CN",
+      "CO",
+      "CU",
+      "DE",
+      "EC",
+      "EG",
+      "ES",
+      "FI",
+      "FR",
+      "GB",
+      "ID",
+      "IN",
+      "IQ",
+      "IT",
+      "JO",
+      "JP",
+      "KR",
+      "KW",
+      "LV",
+      "MA",
+      "MX",
+      "MY",
+      "NL",
+      "PE",
+      "PH",
+      "PK",
+      "RU",
+      "SA",
+      "SE",
+      "SG",
+      "SV",
+      "TH",
+      "TR",
+      "UA",
+      "US",
+      "VE",
+      "VN",
+      "WS"
+    ],
+    "channel_type": [
+      "Animals",
+      "Autos",
+      "Comedy",
+      "Education",
+      "Entertainment",
+      "Film",
+      "Games",
+      "Howto",
+      "Music",
+      "News",
+      "Nonprofit",
+      "People",
+      "Sports",
+      "Tech"
+    ],
+    "created_month": [
+      "Apr",
+      "Aug",
+      "Dec",
+      "Feb",
+      "Jan",
+      "Jul",
+      "Jun",
+      "Mar",
+      "May",
+      "Nov",
+      "Oct",
+      "Sep"
+    ]
+  },
+  "columns": [
+    "rank",
+    "Youtuber",
+    "subscribers",
+    "video views",
+    "category",
+    "Title",
+    "uploads",
+    "Country",
+    "Abbreviation",
+    "channel_type",
+    "video_views_rank",
+    "country_rank",
+    "channel_type_rank",
+    "video_views_for_the_last_30_days",
+    "lowest_monthly_earnings",
+    "highest_monthly_earnings",
+    "lowest_yearly_earnings",
+    "highest_yearly_earnings",
+    "subscribers_for_last_30_days",
+    "created_year",
+    "created_month",
+    "created_date",
+    "Gross tertiary education enrollment (%)",
+    "Population",
+    "Unemployment rate",
+    "Urban_population",
+    "Latitude",
+    "Longitude"
+  ],
+  "feature_columns": [
+    "rank",
+    "Youtuber",
+    "subscribers",
+    "video views",
+    "category",
+    "Title",
+    "uploads",
+    "Country",
+    "Abbreviation",
+    "channel_type",
+    "video_views_rank",
+    "country_rank",
+    "channel_type_rank",
+    "video_views_for_the_last_30_days",
+    "lowest_monthly_earnings",
+    "lowest_yearly_earnings",
+    "highest_yearly_earnings",
+    "subscribers_for_last_30_days",
+    "created_year",
+    "created_month",
+    "created_date",
+    "Gross tertiary education enrollment (%)",
+    "Population",
+    "Unemployment rate",
+    "Urban_population",
+    "Latitude",
+    "Longitude"
+  ],
+  "feature_types": {
+    "rank": "numeric",
+    "Youtuber": "open_text",
+    "subscribers": "numeric",
+    "video views": "numeric",
+    "category": "categorical",
+    "Title": "open_text",
+    "uploads": "numeric",
+    "Country": "categorical",
+    "Abbreviation": "categorical",
+    "channel_type": "categorical",
+    "video_views_rank": "numeric",
+    "country_rank": "numeric",
+    "channel_type_rank": "numeric",
+    "video_views_for_the_last_30_days": "numeric",
+    "lowest_monthly_earnings": "numeric",
+    "lowest_yearly_earnings": "numeric",
+    "highest_yearly_earnings": "numeric",
+    "subscribers_for_last_30_days": "numeric",
+    "created_year": "numeric",
+    "created_month": "categorical",
+    "created_date": "numeric",
+    "Gross tertiary education enrollment (%)": "numeric",
+    "Population": "numeric",
+    "Unemployment rate": "numeric",
+    "Urban_population": "numeric",
+    "Latitude": "numeric",
+    "Longitude": "numeric"
+  },
+  "open_text_feature_intro": {
+    "Youtuber": "Name of the YouTube channel",
+    "Title": "Title of the YouTube channel"
+  },
+  "open_text_features": [
+    "Youtuber",
+    "Title"
+  ],
+  "missing_from_original_info": []
+}

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test.csv

@@ -0,0 +1,18 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+528,El Reino a Jugar,17200000,11445492404.0,Education,El Reino a Jugar,1007,Argentina,AR,Education,353.0,11.0,28.0,83709000.0,20900.0,334800.0,251100.0,4000000.0,100000.0,2015.0,Mar,3.0,90.0,44938712.0,9.79,41339571.0,-38.416097,-63.616672
+815,Hacksmith Industries,13800000,1820559912.0,Science & Technology,Hacksmith Industries,887,Canada,CA,Tech,5524.0,10.0,14.0,83943000.0,21000.0,335800.0,251800.0,4000000.0,100000.0,2006.0,Apr,20.0,68.9,36991981.0,5.56,30628482.0,56.130366,-106.346771
+205,Renato Garcia YT,26900000,7938616641.0,Entertainment,Renato Garcia YT,3956,Brazil,BR,Entertainment,664.0,11.0,54.0,82912000.0,20700.0,331600.0,248700.0,4000000.0,200000.0,2011.0,Sep,29.0,51.3,212559417.0,12.08,183241641.0,-14.235004,-51.92528
+12,WWE,96000000,77428473662.0,Sports,WWE,70127,United States,US,Sports,7.0,6.0,1.0,714614000.0,178700.0,2900000.0,2100000.0,34300000.0,600000.0,2007.0,May,11.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+295,Tsuriki Show,23000000,31494513067.0,Entertainment,Tsuriki Show,2905,Germany,DE,Comedy,34.0,1.0,15.0,756717000.0,189200.0,3000000.0,2300000.0,36300000.0,800000.0,2019.0,Jul,10.0,70.2,83132799.0,3.04,64324835.0,51.165691,10.451526
+142,GMA  Network,31900000,19428308461.0,Entertainment,GMA  Network,93311,Philippines,PH,Entertainment,129.0,2.0,41.0,798510000.0,199600.0,3200000.0,2400000.0,38300000.0,500000.0,2006.0,Nov,20.0,35.5,108116615.0,2.15,50975903.0,12.879721,121.774017
+722,Netflix Jr.,14700000,8882319696.0,Education,Netflix Jr.,1996,United States,US,Education,552.0,154.0,36.0,79402000.0,19900.0,317600.0,238200.0,3800000.0,100000.0,2012.0,Jan,28.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+355,Lyrical Lemonade,21000000,10631638628.0,Entertainment,Lyrical Lemonade,420,United States,US,Entertainment,398.0,100.0,95.0,80062000.0,20000.0,320200.0,240200.0,3800000.0,100000.0,2013.0,Mar,25.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+79,CarryMinati,39200000,3294013141.0,Comedy,CarryMinati,186,India,IN,Comedy,2487.0,21.0,2.0,78688000.0,19700.0,314800.0,236100.0,3800000.0,700000.0,2014.0,Oct,30.0,28.1,1366417754.0,5.36,471031528.0,20.593684,78.96288
+776,E-MasterSensei,14200000,3920559552.0,Gaming,E-MasterSensei,1300,Mexico,MX,Games,1971.0,28.0,54.0,44575000.0,11100.0,178300.0,133700.0,2100000.0,200000.0,2016.0,Jan,13.0,40.2,126014024.0,3.42,102626859.0,23.634501,-102.552784
+866,Vogue,13300000,4177184071.0,Entertainment,Vogue,3166,United States,US,People,1789.0,167.0,54.0,45095000.0,11300.0,180400.0,135300.0,2200000.0,100000.0,2008.0,Jun,29.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+747,GMM25Thailand,14500000,9383692066.0,Entertainment,GMM25Thailand,68606,Thailand,TH,Entertainment,502.0,13.0,151.0,45622000.0,11400.0,182500.0,136900.0,2200000.0,100000.0,2011.0,Jun,8.0,49.3,69625582.0,0.75,35294600.0,15.870032,100.992541
+173,Ultra Records,29600000,17208027242.0,Music,Ultra Records,4903,United States,US,Music,165.0,50.0,56.0,81884000.0,20500.0,327500.0,245700.0,3900000.0,,2006.0,Oct,24.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+372,Avicii,20600000,10292874715.0,Music,Avicii,156,Sweden,SE,Music,421.0,1.0,92.0,81236000.0,20300.0,324900.0,243700.0,3900000.0,,2009.0,Oct,28.0,67.0,10285453.0,6.48,9021165.0,60.128161,18.643501
+308,The Chainsmokers,22600000,14231943358.0,Music,The Chainsmokers,180,United States,US,Music,246.0,88.0,84.0,81660000.0,20400.0,326600.0,245000.0,3900000.0,100000.0,2012.0,Sep,22.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+145,Worldwide Records Bhojpuri,31700000,16476978876.0,Music,Worldwide Records Bhojpuri,6518,India,IN,Music,177.0,39.0,48.0,112648000.0,28200.0,450600.0,337900.0,5400000.0,200000.0,2012.0,Mar,15.0,28.1,1366417754.0,5.36,471031528.0,20.593684,78.96288
+384,BabyBus - Cerita & Lagu Anak-anak,20300000,11819051552.0,Education,BabyBus - Cerita & Lagu Anak-anak,875,Indonesia,ID,Education,332.0,10.0,22.0,112768000.0,28200.0,451100.0,338300.0,5400000.0,100000.0,2019.0,Jan,14.0,36.3,270203917.0,4.69,151509724.0,-0.789275,113.921327

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_001.csv

@@ -0,0 +1,4 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+528,El Reino a Jugar,17200000,11445492404.0,Education,El Reino a Jugar,1007,Argentina,AR,Education,353.0,11.0,28.0,83709000.0,20900.0,334800.0,251100.0,4000000.0,100000.0,2015.0,Mar,3.0,90.0,44938712.0,9.79,41339571.0,-38.416097,-63.616672
+815,Hacksmith Industries,13800000,1820559912.0,Science & Technology,Hacksmith Industries,887,Canada,CA,Tech,5524.0,10.0,14.0,83943000.0,21000.0,335800.0,251800.0,4000000.0,100000.0,2006.0,Apr,20.0,68.9,36991981.0,5.56,30628482.0,56.130366,-106.346771
+205,Renato Garcia YT,26900000,7938616641.0,Entertainment,Renato Garcia YT,3956,Brazil,BR,Entertainment,664.0,11.0,54.0,82912000.0,20700.0,331600.0,248700.0,4000000.0,200000.0,2011.0,Sep,29.0,51.3,212559417.0,12.08,183241641.0,-14.235004,-51.92528

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_002.csv

@@ -0,0 +1,4 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+12,WWE,96000000,77428473662.0,Sports,WWE,70127,United States,US,Sports,7.0,6.0,1.0,714614000.0,178700.0,2900000.0,2100000.0,34300000.0,600000.0,2007.0,May,11.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+295,Tsuriki Show,23000000,31494513067.0,Entertainment,Tsuriki Show,2905,Germany,DE,Comedy,34.0,1.0,15.0,756717000.0,189200.0,3000000.0,2300000.0,36300000.0,800000.0,2019.0,Jul,10.0,70.2,83132799.0,3.04,64324835.0,51.165691,10.451526
+142,GMA  Network,31900000,19428308461.0,Entertainment,GMA  Network,93311,Philippines,PH,Entertainment,129.0,2.0,41.0,798510000.0,199600.0,3200000.0,2400000.0,38300000.0,500000.0,2006.0,Nov,20.0,35.5,108116615.0,2.15,50975903.0,12.879721,121.774017

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_003.csv

@@ -0,0 +1,4 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+722,Netflix Jr.,14700000,8882319696.0,Education,Netflix Jr.,1996,United States,US,Education,552.0,154.0,36.0,79402000.0,19900.0,317600.0,238200.0,3800000.0,100000.0,2012.0,Jan,28.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+355,Lyrical Lemonade,21000000,10631638628.0,Entertainment,Lyrical Lemonade,420,United States,US,Entertainment,398.0,100.0,95.0,80062000.0,20000.0,320200.0,240200.0,3800000.0,100000.0,2013.0,Mar,25.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+79,CarryMinati,39200000,3294013141.0,Comedy,CarryMinati,186,India,IN,Comedy,2487.0,21.0,2.0,78688000.0,19700.0,314800.0,236100.0,3800000.0,700000.0,2014.0,Oct,30.0,28.1,1366417754.0,5.36,471031528.0,20.593684,78.96288

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_004.csv

@@ -0,0 +1,4 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+776,E-MasterSensei,14200000,3920559552.0,Gaming,E-MasterSensei,1300,Mexico,MX,Games,1971.0,28.0,54.0,44575000.0,11100.0,178300.0,133700.0,2100000.0,200000.0,2016.0,Jan,13.0,40.2,126014024.0,3.42,102626859.0,23.634501,-102.552784
+866,Vogue,13300000,4177184071.0,Entertainment,Vogue,3166,United States,US,People,1789.0,167.0,54.0,45095000.0,11300.0,180400.0,135300.0,2200000.0,100000.0,2008.0,Jun,29.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+747,GMM25Thailand,14500000,9383692066.0,Entertainment,GMM25Thailand,68606,Thailand,TH,Entertainment,502.0,13.0,151.0,45622000.0,11400.0,182500.0,136900.0,2200000.0,100000.0,2011.0,Jun,8.0,49.3,69625582.0,0.75,35294600.0,15.870032,100.992541

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_005.csv

@@ -0,0 +1,4 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+173,Ultra Records,29600000,17208027242.0,Music,Ultra Records,4903,United States,US,Music,165.0,50.0,56.0,81884000.0,20500.0,327500.0,245700.0,3900000.0,,2006.0,Oct,24.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891
+372,Avicii,20600000,10292874715.0,Music,Avicii,156,Sweden,SE,Music,421.0,1.0,92.0,81236000.0,20300.0,324900.0,243700.0,3900000.0,,2009.0,Oct,28.0,67.0,10285453.0,6.48,9021165.0,60.128161,18.643501
+308,The Chainsmokers,22600000,14231943358.0,Music,The Chainsmokers,180,United States,US,Music,246.0,88.0,84.0,81660000.0,20400.0,326600.0,245000.0,3900000.0,100000.0,2012.0,Sep,22.0,88.2,328239523.0,14.7,270663028.0,37.09024,-95.712891

decision_making/daily/regression/Global_YouTube_Statistics_2023_B2/test_006.csv

@@ -0,0 +1,3 @@
+rank,Youtuber,subscribers,video views,category,Title,uploads,Country,Abbreviation,channel_type,video_views_rank,country_rank,channel_type_rank,video_views_for_the_last_30_days,lowest_monthly_earnings,highest_monthly_earnings,lowest_yearly_earnings,highest_yearly_earnings,subscribers_for_last_30_days,created_year,created_month,created_date,Gross tertiary education enrollment (%),Population,Unemployment rate,Urban_population,Latitude,Longitude
+145,Worldwide Records Bhojpuri,31700000,16476978876.0,Music,Worldwide Records Bhojpuri,6518,India,IN,Music,177.0,39.0,48.0,112648000.0,28200.0,450600.0,337900.0,5400000.0,200000.0,2012.0,Mar,15.0,28.1,1366417754.0,5.36,471031528.0,20.593684,78.96288
+384,BabyBus - Cerita & Lagu Anak-anak,20300000,11819051552.0,Education,BabyBus - Cerita & Lagu Anak-anak,875,Indonesia,ID,Education,332.0,10.0,22.0,112768000.0,28200.0,451100.0,338300.0,5400000.0,100000.0,2019.0,Jan,14.0,36.3,270203917.0,4.69,151509724.0,-0.789275,113.921327

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_001.json

@@ -0,0 +1,75 @@
+{
+  "id": "001",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "I'm comparing two student profiles and trying to figure out which one is more likely to end up with the lower exam score. The first student is a male at a public school who lives near campus. He studied only 3 hours, has 62% attendance, medium parental involvement, and low access to resources. He doesn't participate in extracurricular activities, sleeps 6 hours, scored 67 previously, and has medium motivation. He has internet access, attended 1 tutoring session, comes from a low-income family, has medium teacher quality, negative peer influence, 3 hours of physical activity, no learning disabilities, and parents whose highest education level is high school. The second student is also male, but he attends a private school and lives far from home. He studied 5 hours, has 65% attendance, low parental involvement, and high access to resources. He also does no extracurriculars, sleeps 7 hours, previously scored 71, and has medium motivation. He has internet access, no tutoring sessions, low family income, medium teacher quality, negative peer influence, 2 hours of physical activity, no learning disabilities, and parents with a college education. Based on the patterns in the historical records, which of these two students is more likely to get the lowest exam score?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "3",
+          "Attendance": "62",
+          "Parental_Involvement": "Medium",
+          "Access_to_Resources": "Low",
+          "Extracurricular_Activities": "No",
+          "Sleep_Hours": "6",
+          "Previous_Scores": "67",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "1",
+          "Family_Income": "Low",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Public",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Near",
+          "Gender": "Male",
+          "Exam_Score": "55"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "5",
+          "Attendance": "65",
+          "Parental_Involvement": "Low",
+          "Access_to_Resources": "High",
+          "Extracurricular_Activities": "No",
+          "Sleep_Hours": "7",
+          "Previous_Scores": "71",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "Low",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Private",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "2",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "College",
+          "Distance_from_Home": "Far",
+          "Gender": "Male",
+          "Exam_Score": "56"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_002.json

@@ -0,0 +1,100 @@
+{
+  "id": "002",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "I'm stuck trying to sort through three student profiles and decide who seems most likely to land at the bottom on the exam. The first student is a female in a public school who lives far from home. She studied 14 hours, has 67% attendance, low parental involvement, and low access to resources. She does extracurricular activities, sleeps 7 hours, previously scored 66, and has low motivation. She has internet access, no tutoring sessions, low family income, medium teacher quality, neutral peer influence, 4 hours of physical activity, no learning disabilities, and parents with a high school education. The second student is a male at a public school living a moderate distance away. He studied 7 hours, has 62% attendance, high parental involvement, and medium access to resources. He also participates in extracurriculars, sleeps 8 hours, previously scored 51, and has low motivation. He has internet access, no tutoring sessions, medium family income, low teacher quality, positive peer influence, 3 hours of physical activity, no learning disabilities, and parents with a college education. The third student is a female attending a private school and living a moderate distance from home. She studied 7 hours, has 70% attendance, medium parental involvement, and medium access to resources. She does extracurriculars, sleeps 6 hours, previously scored 51, and has medium motivation. She has internet access, no tutoring sessions, high family income, medium teacher quality, neutral peer influence, 1 hour of physical activity, no learning disabilities, and parents with a high school education. Looking at all that, which student seems headed for the lowest exam score?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "14",
+          "Attendance": "67",
+          "Parental_Involvement": "Low",
+          "Access_to_Resources": "Low",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "7",
+          "Previous_Scores": "66",
+          "Motivation_Level": "Low",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "Low",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Public",
+          "Peer_Influence": "Neutral",
+          "Physical_Activity": "4",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Far",
+          "Gender": "Female",
+          "Exam_Score": "57"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "7",
+          "Attendance": "62",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "8",
+          "Previous_Scores": "51",
+          "Motivation_Level": "Low",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "Medium",
+          "Teacher_Quality": "Low",
+          "School_Type": "Public",
+          "Peer_Influence": "Positive",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "College",
+          "Distance_from_Home": "Moderate",
+          "Gender": "Male",
+          "Exam_Score": "58"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "Hours_Studied": "7",
+          "Attendance": "70",
+          "Parental_Involvement": "Medium",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "6",
+          "Previous_Scores": "51",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "High",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Private",
+          "Peer_Influence": "Neutral",
+          "Physical_Activity": "1",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Moderate",
+          "Gender": "Female",
+          "Exam_Score": "59"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_003.json

@@ -0,0 +1,75 @@
+{
+  "id": "003",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "I'm trying to decide which of these two students seems better positioned to come out with the higher exam score. The first student is a female at a public school who lives a moderate distance from home. She studied 27 hours, has outstanding attendance at 98%, low parental involvement, and medium access to resources. She participates in extracurricular activities, sleeps 6 hours, previously scored 93, and reports low motivation. She does not have internet access, has attended 5 tutoring sessions, comes from a high-income family, has high teacher quality, positive peer influence, 3 hours of physical activity, no learning disabilities, and parents whose highest education level is high school. The second student is also female, but she attends a private school and lives near home. She studied 18 hours, has 89% attendance, high parental involvement, and medium access to resources. She also does extracurriculars, sleeps only 4 hours, previously scored 73, and has medium motivation. She has internet access, attended 3 tutoring sessions, comes from a high-income family, has medium teacher quality, positive peer influence, 2 hours of physical activity, no learning disabilities, and parents with a college education. Given these details, which student would you expect to score higher on the exam?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "27",
+          "Attendance": "98",
+          "Parental_Involvement": "Low",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "6",
+          "Previous_Scores": "93",
+          "Motivation_Level": "Low",
+          "Internet_Access": "No",
+          "Tutoring_Sessions": "5",
+          "Family_Income": "High",
+          "Teacher_Quality": "High",
+          "School_Type": "Public",
+          "Peer_Influence": "Positive",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Moderate",
+          "Gender": "Female",
+          "Exam_Score": "101"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "18",
+          "Attendance": "89",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "4",
+          "Previous_Scores": "73",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "3",
+          "Family_Income": "High",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Private",
+          "Peer_Influence": "Positive",
+          "Physical_Activity": "2",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "College",
+          "Distance_from_Home": "Near",
+          "Gender": "Female",
+          "Exam_Score": "100"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_004.json

@@ -0,0 +1,75 @@
+{
+  "id": "004",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "I'm comparing two student records and trying to decide which one is more likely to finish with the lower exam score. The first student is a male in a public school who lives a moderate distance from home. He studied 7 hours, has 66% attendance, high parental involvement, and low access to resources. He participates in extracurricular activities, sleeps 8 hours, previously scored 68, and has high motivation. He has internet access, no tutoring sessions, low family income, medium teacher quality, negative peer influence, 2 hours of physical activity, does have learning disabilities, and parents with a college education. The second student is also male, also in a public school, and also lives a moderate distance away. He studied 11 hours, has 63% attendance, medium parental involvement, and high access to resources. He does extracurriculars as well, sleeps 9 hours, previously scored 51, and has high motivation. He has internet access, no tutoring sessions, low family income, low teacher quality, negative peer influence, 3 hours of physical activity, learning disabilities, and parents with a college education. Given that background and the historical data, which student seems more likely to end up with the lowest exam score?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "7",
+          "Attendance": "66",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "Low",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "8",
+          "Previous_Scores": "68",
+          "Motivation_Level": "High",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "Low",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Public",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "2",
+          "Learning_Disabilities": "Yes",
+          "Parental_Education_Level": "College",
+          "Distance_from_Home": "Moderate",
+          "Gender": "Male",
+          "Exam_Score": "57"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "11",
+          "Attendance": "63",
+          "Parental_Involvement": "Medium",
+          "Access_to_Resources": "High",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "9",
+          "Previous_Scores": "51",
+          "Motivation_Level": "High",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "0",
+          "Family_Income": "Low",
+          "Teacher_Quality": "Low",
+          "School_Type": "Public",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "Yes",
+          "Parental_Education_Level": "College",
+          "Distance_from_Home": "Moderate",
+          "Gender": "Male",
+          "Exam_Score": "58"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_005.json

@@ -0,0 +1,100 @@
+{
+  "id": "005",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "Looking through the archive, three student profiles stand out, and I'm trying to decide which one I should bet on for the top exam result. The first student is a male at a public school who lives far from home. He studied 23 hours, has 83% attendance, high parental involvement, and high access to resources. He does extracurricular activities, sleeps only 4 hours, previously scored 89, and has low motivation. He has internet access, attended 1 tutoring session, comes from a medium-income family, has medium teacher quality, negative peer influence, 3 hours of physical activity, no learning disabilities, and parents whose highest education level is high school. The second student is also male, attends a public school, and lives near home. He studied 28 hours, has 96% attendance, high parental involvement, and low access to resources. He also does extracurriculars, sleeps 4 hours, previously scored 98, and has high motivation. He has internet access, 1 tutoring session, high family income, high teacher quality, positive peer influence, 3 hours of physical activity, no learning disabilities, and parents with a high school education. The third student is a female in a private school who lives near home. She studied 15 hours, has 83% attendance, medium parental involvement, and medium access to resources. She does not participate in extracurriculars, sleeps 7 hours, previously scored 97, and has medium motivation. She has internet access, attended 2 tutoring sessions, comes from a low-income family, has high teacher quality, neutral peer influence, 2 hours of physical activity, no learning disabilities, and parents with a high school education. Based on patterns in the past records, who looks most likely to come out on top?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "23",
+          "Attendance": "83",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "High",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "4",
+          "Previous_Scores": "89",
+          "Motivation_Level": "Low",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "1",
+          "Family_Income": "Medium",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Public",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Far",
+          "Gender": "Male",
+          "Exam_Score": "99"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "28",
+          "Attendance": "96",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "Low",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "4",
+          "Previous_Scores": "98",
+          "Motivation_Level": "High",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "1",
+          "Family_Income": "High",
+          "Teacher_Quality": "High",
+          "School_Type": "Public",
+          "Peer_Influence": "Positive",
+          "Physical_Activity": "3",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Near",
+          "Gender": "Male",
+          "Exam_Score": "98"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "Hours_Studied": "15",
+          "Attendance": "83",
+          "Parental_Involvement": "Medium",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "No",
+          "Sleep_Hours": "7",
+          "Previous_Scores": "97",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "2",
+          "Family_Income": "Low",
+          "Teacher_Quality": "High",
+          "School_Type": "Private",
+          "Peer_Influence": "Neutral",
+          "Physical_Activity": "2",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Near",
+          "Gender": "Female",
+          "Exam_Score": "97"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/Student_Performance_Factors_B2_006.json

@@ -0,0 +1,75 @@
+{
+  "id": "006",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Student_Performance_Factors",
+  "table_path": "kaggle/Student_Performance_Factors",
+  "query": "These two student cases are making the decision surprisingly hard, and I want to know which one is more likely to finish with the higher exam score. The first student is a female at a private school who lives near home. She studied 14 hours, has 90% attendance, high parental involvement, and high access to resources. She participates in extracurricular activities, sleeps 8 hours, previously scored 86, and has medium motivation. She has internet access, attended 4 tutoring sessions, comes from a medium-income family, has medium teacher quality, negative peer influence, 2 hours of physical activity, no learning disabilities, and parents whose highest education level is high school. The second student is also female and also lives near home, but she attends a public school. She studied 16 hours, has 83% attendance, low parental involvement, and medium access to resources. She does extracurriculars too, sleeps 8 hours, previously scored 92, and has low motivation. She has internet access, attended 2 tutoring sessions, comes from a high-income family, has high teacher quality, positive peer influence, 4 hours of physical activity, no learning disabilities, and parents with postgraduate education. From the historical data, which one would you pick to end up with the highest exam score?",
+  "meta_info": {
+    "domain": "daily"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Hours_Studied": "14",
+          "Attendance": "90",
+          "Parental_Involvement": "High",
+          "Access_to_Resources": "High",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "8",
+          "Previous_Scores": "86",
+          "Motivation_Level": "Medium",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "4",
+          "Family_Income": "Medium",
+          "Teacher_Quality": "Medium",
+          "School_Type": "Private",
+          "Peer_Influence": "Negative",
+          "Physical_Activity": "2",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "High School",
+          "Distance_from_Home": "Near",
+          "Gender": "Female",
+          "Exam_Score": "99"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Hours_Studied": "16",
+          "Attendance": "83",
+          "Parental_Involvement": "Low",
+          "Access_to_Resources": "Medium",
+          "Extracurricular_Activities": "Yes",
+          "Sleep_Hours": "8",
+          "Previous_Scores": "92",
+          "Motivation_Level": "Low",
+          "Internet_Access": "Yes",
+          "Tutoring_Sessions": "2",
+          "Family_Income": "High",
+          "Teacher_Quality": "High",
+          "School_Type": "Public",
+          "Peer_Influence": "Positive",
+          "Physical_Activity": "4",
+          "Learning_Disabilities": "No",
+          "Parental_Education_Level": "Postgraduate",
+          "Distance_from_Home": "Near",
+          "Gender": "Female",
+          "Exam_Score": "98"
+        }
+      }
+    ],
+    "target_column": "Exam_Score",
+    "task_sub_type": "regression",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/daily/regression/Student_Performance_Factors_B2/current.csv

@@ -0,0 +1,15 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+16,74,High,High,Yes,8,56,Low,Yes,1,Low,Medium,Private,Positive,2,No,High School,Near,Female,65
+28,69,High,Low,No,6,61,Low,Yes,2,Medium,High,Public,Positive,1,Yes,High School,Near,Male,65
+19,89,High,Low,Yes,7,64,Medium,Yes,2,Low,Medium,Public,Positive,4,Yes,Postgraduate,Moderate,Female,68
+19,84,Medium,Medium,No,8,97,High,Yes,2,Medium,Medium,Public,Neutral,1,Yes,College,Near,Male,68
+13,96,Medium,High,No,8,71,Low,Yes,1,Medium,Low,Public,Positive,3,No,High School,Near,Male,68
+24,80,Medium,Medium,Yes,7,69,Low,Yes,0,Medium,High,Private,Positive,3,No,College,Far,Male,67
+18,92,Medium,Medium,Yes,6,73,Low,Yes,1,Medium,High,Public,Neutral,5,Yes,High School,Moderate,Female,67
+13,99,Low,High,Yes,6,95,Medium,No,0,Low,Medium,Public,Positive,4,No,Postgraduate,Near,Male,69
+14,89,High,Medium,No,6,82,High,Yes,2,Medium,Medium,Public,Negative,4,No,College,Moderate,Female,69
+25,82,Medium,Medium,Yes,8,65,Medium,Yes,0,High,Medium,Private,Neutral,4,No,High School,Near,Male,69
+24,91,Medium,Medium,No,7,52,Low,Yes,0,High,High,Public,Neutral,4,No,College,Near,Male,69
+22,84,Medium,Medium,Yes,5,59,Medium,Yes,0,High,High,Private,Positive,3,No,College,Near,Female,69
+28,80,High,High,No,5,64,Medium,Yes,1,Low,Medium,Private,Neutral,2,No,Postgraduate,Moderate,Female,70
+20,89,Low,Medium,Yes,6,91,High,Yes,0,Medium,Medium,Private,Positive,4,No,College,Near,Male,70

decision_making/daily/regression/Student_Performance_Factors_B2/info.json

@@ -0,0 +1,130 @@
+{
+    "name": "Student Performance Factors",
+    "source": "https://www.kaggle.com/datasets/lainguyn123/student-performance-factors/data",
+    "data_intro": "This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success.",
+    "is_splited": false,
+    "overall_size": 6607,
+    "train_size": 0,
+    "test_size": 0,
+    "c_classes": 13,
+    "n_classes": 7,
+    "task_type": "regression",
+    "target": "Exam_Score",
+    "cat_feature_intro": {
+        "Parental_Involvement": "- Parental_Involvement: Level of parental involvement in the student's education (Low, Medium, High).",
+        "Access_to_Resources": "- Access_to_Resources: Availability of educational resources (Low, Medium, High). ",
+        "Extracurricular_Activities": "- Extracurricular_Activities: Participation in extracurricular activities (Yes, No).  ",
+        "Motivation_Level": "- Motivation_Level: Student's level of motivation (Low, Medium, High).",
+        "Internet_Access": "- Internet_Access: Availability of internet access (Yes, No).",
+        "Family_Income": "- Family_Income: Family income level (Low, Medium, High).  ",
+        "Teacher_Quality": "- Teacher_Quality: Quality of the teachers (Low, Medium, High).",
+        "School_Type": "- School_Type: Type of school attended (Public, Private).",
+        "Peer_Influence": "- Peer_Influence: Influence of peers on academic performance (Positive, Neutral, Negative).",
+        "Learning_Disabilities": "- Learning_Disabilities: Presence of learning disabilities (Yes, No).",
+        "Parental_Education_Level": "- Parental_Education_Level: Highest education level of parents (High School, College, Postgraduate).",
+        "Distance_from_Home": "- Distance_from_Home: Distance from home to school (Near, Moderate, Far).",
+        "Gender": "- Gender: Gender of the student (Male, Female)."
+    },
+    "num_feature_intro": {
+        "Hours_Studied": "- Hours_Studied: Number of hours spent studying per week.",
+        "Attendance": "- Attendance: Percentage of classes attended.  ",
+        "Sleep_Hours": "- Sleep_Hours: Average number of hours of sleep per night.",
+        "Previous_Scores": "- Previous_Scores: Scores from previous exams.  ",
+        "Tutoring_Sessions": "- Tutoring_Sessions: Number of tutoring sessions attended per month.  ",
+        "Physical_Activity": "- Physical_Activity: Average number of hours of physical activity per week.  ",
+        "Exam_Score": "- Exam_Score: Final exam score."
+    },
+    "evaluation_metric": null,
+    "num_feature_value": {
+        "Attendance": [
+            60.0,
+            100.0
+        ],
+        "Exam_Score": [
+            55.0,
+            101.0
+        ],
+        "Hours_Studied": [
+            1.0,
+            44.0
+        ],
+        "Physical_Activity": [
+            0.0,
+            6.0
+        ],
+        "Previous_Scores": [
+            50.0,
+            100.0
+        ],
+        "Sleep_Hours": [
+            4.0,
+            10.0
+        ],
+        "Tutoring_Sessions": [
+            0.0,
+            8.0
+        ]
+    },
+    "cat_feature_value": {
+        "Access_to_Resources": [
+            "High",
+            "Low",
+            "Medium"
+        ],
+        "Distance_from_Home": [
+            "Far",
+            "Moderate",
+            "Near"
+        ],
+        "Extracurricular_Activities": [
+            "No",
+            "Yes"
+        ],
+        "Family_Income": [
+            "High",
+            "Low",
+            "Medium"
+        ],
+        "Gender": [
+            "Female",
+            "Male"
+        ],
+        "Internet_Access": [
+            "No",
+            "Yes"
+        ],
+        "Learning_Disabilities": [
+            "No",
+            "Yes"
+        ],
+        "Motivation_Level": [
+            "High",
+            "Low",
+            "Medium"
+        ],
+        "Parental_Education_Level": [
+            "College",
+            "High School",
+            "Postgraduate"
+        ],
+        "Parental_Involvement": [
+            "High",
+            "Low",
+            "Medium"
+        ],
+        "Peer_Influence": [
+            "Negative",
+            "Neutral",
+            "Positive"
+        ],
+        "School_Type": [
+            "Private",
+            "Public"
+        ],
+        "Teacher_Quality": [
+            "High",
+            "Low",
+            "Medium"
+        ]
+    }
+}

decision_making/daily/regression/Student_Performance_Factors_B2/info_mod.json

@@ -0,0 +1,192 @@
+{
+  "name": "Student Performance Factors",
+  "source": "https://www.kaggle.com/datasets/lainguyn123/student-performance-factors/data",
+  "data_intro": "This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success.",
+  "is_splited": false,
+  "overall_size": 6607,
+  "train_size": 0,
+  "test_size": 0,
+  "c_classes": 13,
+  "n_classes": 7,
+  "task_type": "regression",
+  "target": "Exam_Score",
+  "cat_feature_intro": {
+    "Parental_Involvement": "- Parental_Involvement: Level of parental involvement in the student's education (Low, Medium, High).",
+    "Access_to_Resources": "- Access_to_Resources: Availability of educational resources (Low, Medium, High). ",
+    "Extracurricular_Activities": "- Extracurricular_Activities: Participation in extracurricular activities (Yes, No).  ",
+    "Motivation_Level": "- Motivation_Level: Student's level of motivation (Low, Medium, High).",
+    "Internet_Access": "- Internet_Access: Availability of internet access (Yes, No).",
+    "Family_Income": "- Family_Income: Family income level (Low, Medium, High).  ",
+    "Teacher_Quality": "- Teacher_Quality: Quality of the teachers (Low, Medium, High).",
+    "School_Type": "- School_Type: Type of school attended (Public, Private).",
+    "Peer_Influence": "- Peer_Influence: Influence of peers on academic performance (Positive, Neutral, Negative).",
+    "Learning_Disabilities": "- Learning_Disabilities: Presence of learning disabilities (Yes, No).",
+    "Parental_Education_Level": "- Parental_Education_Level: Highest education level of parents (High School, College, Postgraduate).",
+    "Distance_from_Home": "- Distance_from_Home: Distance from home to school (Near, Moderate, Far).",
+    "Gender": "- Gender: Gender of the student (Male, Female)."
+  },
+  "num_feature_intro": {
+    "Hours_Studied": "- Hours_Studied: Number of hours spent studying per week.",
+    "Attendance": "- Attendance: Percentage of classes attended.  ",
+    "Sleep_Hours": "- Sleep_Hours: Average number of hours of sleep per night.",
+    "Previous_Scores": "- Previous_Scores: Scores from previous exams.  ",
+    "Tutoring_Sessions": "- Tutoring_Sessions: Number of tutoring sessions attended per month.  ",
+    "Physical_Activity": "- Physical_Activity: Average number of hours of physical activity per week.  "
+  },
+  "evaluation_metric": null,
+  "num_feature_value": {
+    "Hours_Studied": [
+      1.0,
+      44.0
+    ],
+    "Attendance": [
+      60.0,
+      100.0
+    ],
+    "Sleep_Hours": [
+      4.0,
+      10.0
+    ],
+    "Previous_Scores": [
+      50.0,
+      100.0
+    ],
+    "Tutoring_Sessions": [
+      0.0,
+      8.0
+    ],
+    "Physical_Activity": [
+      0.0,
+      6.0
+    ]
+  },
+  "cat_feature_value": {
+    "Parental_Involvement": [
+      "High",
+      "Low",
+      "Medium"
+    ],
+    "Access_to_Resources": [
+      "High",
+      "Low",
+      "Medium"
+    ],
+    "Extracurricular_Activities": [
+      "No",
+      "Yes"
+    ],
+    "Motivation_Level": [
+      "High",
+      "Low",
+      "Medium"
+    ],
+    "Internet_Access": [
+      "No",
+      "Yes"
+    ],
+    "Family_Income": [
+      "High",
+      "Low",
+      "Medium"
+    ],
+    "Teacher_Quality": [
+      "High",
+      "Low",
+      "Medium"
+    ],
+    "School_Type": [
+      "Private",
+      "Public"
+    ],
+    "Peer_Influence": [
+      "Negative",
+      "Neutral",
+      "Positive"
+    ],
+    "Learning_Disabilities": [
+      "No",
+      "Yes"
+    ],
+    "Parental_Education_Level": [
+      "College",
+      "High School",
+      "Postgraduate"
+    ],
+    "Distance_from_Home": [
+      "Far",
+      "Moderate",
+      "Near"
+    ],
+    "Gender": [
+      "Female",
+      "Male"
+    ]
+  },
+  "columns": [
+    "Hours_Studied",
+    "Attendance",
+    "Parental_Involvement",
+    "Access_to_Resources",
+    "Extracurricular_Activities",
+    "Sleep_Hours",
+    "Previous_Scores",
+    "Motivation_Level",
+    "Internet_Access",
+    "Tutoring_Sessions",
+    "Family_Income",
+    "Teacher_Quality",
+    "School_Type",
+    "Peer_Influence",
+    "Physical_Activity",
+    "Learning_Disabilities",
+    "Parental_Education_Level",
+    "Distance_from_Home",
+    "Gender",
+    "Exam_Score"
+  ],
+  "feature_columns": [
+    "Hours_Studied",
+    "Attendance",
+    "Parental_Involvement",
+    "Access_to_Resources",
+    "Extracurricular_Activities",
+    "Sleep_Hours",
+    "Previous_Scores",
+    "Motivation_Level",
+    "Internet_Access",
+    "Tutoring_Sessions",
+    "Family_Income",
+    "Teacher_Quality",
+    "School_Type",
+    "Peer_Influence",
+    "Physical_Activity",
+    "Learning_Disabilities",
+    "Parental_Education_Level",
+    "Distance_from_Home",
+    "Gender"
+  ],
+  "feature_types": {
+    "Hours_Studied": "numeric",
+    "Attendance": "numeric",
+    "Parental_Involvement": "categorical",
+    "Access_to_Resources": "categorical",
+    "Extracurricular_Activities": "categorical",
+    "Sleep_Hours": "numeric",
+    "Previous_Scores": "numeric",
+    "Motivation_Level": "categorical",
+    "Internet_Access": "categorical",
+    "Tutoring_Sessions": "numeric",
+    "Family_Income": "categorical",
+    "Teacher_Quality": "categorical",
+    "School_Type": "categorical",
+    "Peer_Influence": "categorical",
+    "Physical_Activity": "numeric",
+    "Learning_Disabilities": "categorical",
+    "Parental_Education_Level": "categorical",
+    "Distance_from_Home": "categorical",
+    "Gender": "categorical"
+  },
+  "open_text_feature_intro": {},
+  "open_text_features": [],
+  "missing_from_original_info": []
+}

decision_making/daily/regression/Student_Performance_Factors_B2/test.csv

@@ -0,0 +1,15 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+3,62,Medium,Low,No,6,67,Medium,Yes,1,Low,Medium,Public,Negative,3,No,High School,Near,Male,55
+5,65,Low,High,No,7,71,Medium,Yes,0,Low,Medium,Private,Negative,2,No,College,Far,Male,56
+14,67,Low,Low,Yes,7,66,Low,Yes,0,Low,Medium,Public,Neutral,4,No,High School,Far,Female,57
+7,62,High,Medium,Yes,8,51,Low,Yes,0,Medium,Low,Public,Positive,3,No,College,Moderate,Male,58
+7,70,Medium,Medium,Yes,6,51,Medium,Yes,0,High,Medium,Private,Neutral,1,No,High School,Moderate,Female,59
+27,98,Low,Medium,Yes,6,93,Low,No,5,High,High,Public,Positive,3,No,High School,Moderate,Female,101
+18,89,High,Medium,Yes,4,73,Medium,Yes,3,High,Medium,Private,Positive,2,No,College,Near,Female,100
+7,66,High,Low,Yes,8,68,High,Yes,0,Low,Medium,Public,Negative,2,Yes,College,Moderate,Male,57
+11,63,Medium,High,Yes,9,51,High,Yes,0,Low,Low,Public,Negative,3,Yes,College,Moderate,Male,58
+23,83,High,High,Yes,4,89,Low,Yes,1,Medium,Medium,Public,Negative,3,No,High School,Far,Male,99
+28,96,High,Low,Yes,4,98,High,Yes,1,High,High,Public,Positive,3,No,High School,Near,Male,98
+15,83,Medium,Medium,No,7,97,Medium,Yes,2,Low,High,Private,Neutral,2,No,High School,Near,Female,97
+14,90,High,High,Yes,8,86,Medium,Yes,4,Medium,Medium,Private,Negative,2,No,High School,Near,Female,99
+16,83,Low,Medium,Yes,8,92,Low,Yes,2,High,High,Public,Positive,4,No,Postgraduate,Near,Female,98

decision_making/daily/regression/Student_Performance_Factors_B2/test_001.csv

@@ -0,0 +1,3 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+3,62,Medium,Low,No,6,67,Medium,Yes,1,Low,Medium,Public,Negative,3,No,High School,Near,Male,55
+5,65,Low,High,No,7,71,Medium,Yes,0,Low,Medium,Private,Negative,2,No,College,Far,Male,56

decision_making/daily/regression/Student_Performance_Factors_B2/test_002.csv

@@ -0,0 +1,4 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+14,67,Low,Low,Yes,7,66,Low,Yes,0,Low,Medium,Public,Neutral,4,No,High School,Far,Female,57
+7,62,High,Medium,Yes,8,51,Low,Yes,0,Medium,Low,Public,Positive,3,No,College,Moderate,Male,58
+7,70,Medium,Medium,Yes,6,51,Medium,Yes,0,High,Medium,Private,Neutral,1,No,High School,Moderate,Female,59

decision_making/daily/regression/Student_Performance_Factors_B2/test_003.csv

@@ -0,0 +1,3 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+27,98,Low,Medium,Yes,6,93,Low,No,5,High,High,Public,Positive,3,No,High School,Moderate,Female,101
+18,89,High,Medium,Yes,4,73,Medium,Yes,3,High,Medium,Private,Positive,2,No,College,Near,Female,100

decision_making/daily/regression/Student_Performance_Factors_B2/test_004.csv

@@ -0,0 +1,3 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+7,66,High,Low,Yes,8,68,High,Yes,0,Low,Medium,Public,Negative,2,Yes,College,Moderate,Male,57
+11,63,Medium,High,Yes,9,51,High,Yes,0,Low,Low,Public,Negative,3,Yes,College,Moderate,Male,58

decision_making/daily/regression/Student_Performance_Factors_B2/test_005.csv

@@ -0,0 +1,4 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+23,83,High,High,Yes,4,89,Low,Yes,1,Medium,Medium,Public,Negative,3,No,High School,Far,Male,99
+28,96,High,Low,Yes,4,98,High,Yes,1,High,High,Public,Positive,3,No,High School,Near,Male,98
+15,83,Medium,Medium,No,7,97,Medium,Yes,2,Low,High,Private,Neutral,2,No,High School,Near,Female,97

decision_making/daily/regression/Student_Performance_Factors_B2/test_006.csv

@@ -0,0 +1,3 @@
+Hours_Studied,Attendance,Parental_Involvement,Access_to_Resources,Extracurricular_Activities,Sleep_Hours,Previous_Scores,Motivation_Level,Internet_Access,Tutoring_Sessions,Family_Income,Teacher_Quality,School_Type,Peer_Influence,Physical_Activity,Learning_Disabilities,Parental_Education_Level,Distance_from_Home,Gender,Exam_Score
+14,90,High,High,Yes,8,86,Medium,Yes,4,Medium,Medium,Private,Negative,2,No,High School,Near,Female,99
+16,83,Low,Medium,Yes,8,92,Low,Yes,2,High,High,Public,Positive,4,No,Postgraduate,Near,Female,98

decision_making/medical/classification/Indicators_of_Heart_Disease_(2022_UPDATE)_B2/Indicators_of_Heart_Disease_(2022_UPDATE)_B2_001.json

@@ -0,0 +1,145 @@
+{
+  "id": "001",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Indicators_of_Heart_Disease_(2022_UPDATE)",
+  "table_path": "kaggle/Indicators_of_Heart_Disease_(2022_UPDATE)",
+  "query": "As a health educator, I'm preparing a presentation on risk factors for heart disease, and I want to illustrate typical profiles. I have two anonymized case studies from the survey data in front of me. The first person is a woman in her late fifties from Guam. She has a BMI of 28.72, is 1.57 meters tall, and weighs 71.21 kilograms. She is of a non-Hispanic, other race background. She reports her last checkup was within the past year and that she does engage in physical activities. She sleeps about 7 hours a night. She has not had any teeth removed. She has never smoked and does not currently use e-cigarettes or drink alcohol. She has had diabetes and reports having vision difficulties and trouble concentrating. However, she has no history of heart attack, angina, stroke, asthma, skin cancer, COPD, depressive disorder, kidney disease, or arthritis. She doesn't have hearing loss, and she has no difficulties with walking, dressing, bathing, or running errands. She has not had a chest scan, an HIV test, a pneumococcal vaccine, or a tetanus shot in the last decade, but she did get a flu shot recently. She was not at high risk last year and has not had COVID-19. In the last 30 days, she reported 0 days of poor physical health and 0 days of poor mental health.  The second case is a man in his early seventies from New York. He is white and non-Hispanic, with a BMI of 29.68, standing 1.75 meters tall and weighing 91.17 kilograms. His last checkup was also within the year, and he is physically active. He sleeps 8 hours a night and has had 1 to 5 teeth removed. He has never smoked or used e-cigarettes and doesn't drink alcohol. His health history includes diabetes, skin cancer, and arthritis. He has had a chest scan. He does not report vision problems, hearing loss, or difficulties with concentration, walking, dressing, bathing, or errands. He has no history of heart attack, angina, stroke, asthma, COPD, depressive disorder, or kidney disease. He received both a flu shot and a pneumococcal vaccine, and he got a tetanus shot (though he's unsure of the type). He has not had an HIV test, was not high risk last year, and has not had COVID-19. In the last month, he experienced 3 days of poor physical health but 0 days of poor mental health.  I'm trying to decide which of these two individuals is more likely to have described their general health as simply \"Fair.\" Looking at all these details has me a bit torn. Can you help me figure out which profile leans more toward a self-assessment of fair health?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "HeartDisease": null,
+          "BMI": "28.72",
+          "Smoking": null,
+          "AlcoholDrinking": null,
+          "Stroke": null,
+          "PhysicalHealth": null,
+          "MentalHealth": null,
+          "DiffWalking": null,
+          "Sex": "Female",
+          "AgeCategory": "Age 55 to 59",
+          "Race": null,
+          "Diabetic": null,
+          "PhysicalActivity": null,
+          "GenHealth": null,
+          "SleepTime": null,
+          "Asthma": null,
+          "KidneyDisease": null,
+          "SkinCancer": null,
+          "State": "Guam",
+          "GeneralHealth": "Good",
+          "PhysicalHealthDays": "0.0",
+          "MentalHealthDays": "0.0",
+          "LastCheckupTime": "Within past year (anytime less than 12 months ago)",
+          "PhysicalActivities": "Yes",
+          "SleepHours": "7.0",
+          "RemovedTeeth": "None of them",
+          "HadHeartAttack": "No",
+          "HadAngina": "No",
+          "HadStroke": "No",
+          "HadAsthma": "No",
+          "HadSkinCancer": "No",
+          "HadCOPD": "No",
+          "HadDepressiveDisorder": "No",
+          "HadKidneyDisease": "No",
+          "HadArthritis": "No",
+          "HadDiabetes": "Yes",
+          "DeafOrHardOfHearing": "No",
+          "BlindOrVisionDifficulty": "Yes",
+          "DifficultyConcentrating": "Yes",
+          "DifficultyWalking": "No",
+          "DifficultyDressingBathing": "No",
+          "DifficultyErrands": "No",
+          "SmokerStatus": "Never smoked",
+          "ECigaretteUsage": "Not at all (right now)",
+          "ChestScan": "No",
+          "RaceEthnicityCategory": "Other race only, Non-Hispanic",
+          "HeightInMeters": "1.57",
+          "WeightInKilograms": "71.21",
+          "AlcoholDrinkers": "No",
+          "HIVTesting": "No",
+          "FluVaxLast12": "Yes",
+          "PneumoVaxEver": "No",
+          "TetanusLast10Tdap": "No, did not receive any tetanus shot in the past 10 years",
+          "HighRiskLastYear": "No",
+          "CovidPos": "No"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "HeartDisease": null,
+          "BMI": "29.68",
+          "Smoking": null,
+          "AlcoholDrinking": null,
+          "Stroke": null,
+          "PhysicalHealth": null,
+          "MentalHealth": null,
+          "DiffWalking": null,
+          "Sex": "Male",
+          "AgeCategory": "Age 70 to 74",
+          "Race": null,
+          "Diabetic": null,
+          "PhysicalActivity": null,
+          "GenHealth": null,
+          "SleepTime": null,
+          "Asthma": null,
+          "KidneyDisease": null,
+          "SkinCancer": null,
+          "State": "New York",
+          "GeneralHealth": "Fair",
+          "PhysicalHealthDays": "3.0",
+          "MentalHealthDays": "0.0",
+          "LastCheckupTime": "Within past year (anytime less than 12 months ago)",
+          "PhysicalActivities": "Yes",
+          "SleepHours": "8.0",
+          "RemovedTeeth": "1 to 5",
+          "HadHeartAttack": "No",
+          "HadAngina": "No",
+          "HadStroke": "No",
+          "HadAsthma": "No",
+          "HadSkinCancer": "Yes",
+          "HadCOPD": "No",
+          "HadDepressiveDisorder": "No",
+          "HadKidneyDisease": "No",
+          "HadArthritis": "Yes",
+          "HadDiabetes": "Yes",
+          "DeafOrHardOfHearing": "No",
+          "BlindOrVisionDifficulty": "No",
+          "DifficultyConcentrating": "No",
+          "DifficultyWalking": "No",
+          "DifficultyDressingBathing": "No",
+          "DifficultyErrands": "No",
+          "SmokerStatus": "Never smoked",
+          "ECigaretteUsage": "Never used e-cigarettes in my entire life",
+          "ChestScan": "Yes",
+          "RaceEthnicityCategory": "White only, Non-Hispanic",
+          "HeightInMeters": "1.75",
+          "WeightInKilograms": "91.17",
+          "AlcoholDrinkers": "No",
+          "HIVTesting": "No",
+          "FluVaxLast12": "Yes",
+          "PneumoVaxEver": "Yes",
+          "TetanusLast10Tdap": "Yes, received tetanus shot but not sure what type",
+          "HighRiskLastYear": "No",
+          "CovidPos": "No"
+        }
+      }
+    ],
+    "target_column": "GeneralHealth",
+    "task_sub_type": "classification",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Indicators_of_Heart_Disease_(2022_UPDATE)_B2/test_001.csv

@@ -0,0 +1,3 @@
+HeartDisease,BMI,Smoking,AlcoholDrinking,Stroke,PhysicalHealth,MentalHealth,DiffWalking,Sex,AgeCategory,Race,Diabetic,PhysicalActivity,GenHealth,SleepTime,Asthma,KidneyDisease,SkinCancer,State,GeneralHealth,PhysicalHealthDays,MentalHealthDays,LastCheckupTime,PhysicalActivities,SleepHours,RemovedTeeth,HadHeartAttack,HadAngina,HadStroke,HadAsthma,HadSkinCancer,HadCOPD,HadDepressiveDisorder,HadKidneyDisease,HadArthritis,HadDiabetes,DeafOrHardOfHearing,BlindOrVisionDifficulty,DifficultyConcentrating,DifficultyWalking,DifficultyDressingBathing,DifficultyErrands,SmokerStatus,ECigaretteUsage,ChestScan,RaceEthnicityCategory,HeightInMeters,WeightInKilograms,AlcoholDrinkers,HIVTesting,FluVaxLast12,PneumoVaxEver,TetanusLast10Tdap,HighRiskLastYear,CovidPos
+,28.72,,,,,,,Female,Age 55 to 59,,,,,,,,,Guam,Good,0.0,0.0,Within past year (anytime less than 12 months ago),Yes,7.0,None of them,No,No,No,No,No,No,No,No,No,Yes,No,Yes,Yes,No,No,No,Never smoked,Not at all (right now),No,"Other race only, Non-Hispanic",1.57,71.21,No,No,Yes,No,"No, did not receive any tetanus shot in the past 10 years",No,No
+,29.68,,,,,,,Male,Age 70 to 74,,,,,,,,,New York,Fair,3.0,0.0,Within past year (anytime less than 12 months ago),Yes,8.0,1 to 5,No,No,No,No,Yes,No,No,No,Yes,Yes,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,Yes,"White only, Non-Hispanic",1.75,91.17,No,No,Yes,Yes,"Yes, received tetanus shot but not sure what type",No,No

decision_making/medical/classification/Indicators_of_Heart_Disease_(2022_UPDATE)_B2/test_002.csv

@@ -0,0 +1,4 @@
+HeartDisease,BMI,Smoking,AlcoholDrinking,Stroke,PhysicalHealth,MentalHealth,DiffWalking,Sex,AgeCategory,Race,Diabetic,PhysicalActivity,GenHealth,SleepTime,Asthma,KidneyDisease,SkinCancer,State,GeneralHealth,PhysicalHealthDays,MentalHealthDays,LastCheckupTime,PhysicalActivities,SleepHours,RemovedTeeth,HadHeartAttack,HadAngina,HadStroke,HadAsthma,HadSkinCancer,HadCOPD,HadDepressiveDisorder,HadKidneyDisease,HadArthritis,HadDiabetes,DeafOrHardOfHearing,BlindOrVisionDifficulty,DifficultyConcentrating,DifficultyWalking,DifficultyDressingBathing,DifficultyErrands,SmokerStatus,ECigaretteUsage,ChestScan,RaceEthnicityCategory,HeightInMeters,WeightInKilograms,AlcoholDrinkers,HIVTesting,FluVaxLast12,PneumoVaxEver,TetanusLast10Tdap,HighRiskLastYear,CovidPos
+,25.04,,,,,,,Male,Age 65 to 69,,,,,,,,,Washington,Very good,3.0,0.0,Within past year (anytime less than 12 months ago),Yes,2.0,1 to 5,No,No,No,No,Yes,No,No,No,No,No,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,No,"White only, Non-Hispanic",1.88,88.45,Yes,No,Yes,Yes,"Yes, received tetanus shot, but not Tdap",No,No
+,22.15,,,,,,,Male,Age 65 to 69,,,,,,,,,Rhode Island,Good,0.0,0.0,Within past year (anytime less than 12 months ago),Yes,9.0,None of them,No,No,No,No,No,No,No,No,Yes,No,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,No,"White only, Non-Hispanic",1.75,68.04,Yes,No,Yes,No,"Yes, received tetanus shot but not sure what type",No,No
+,22.81,,,,,,,Female,Age 70 to 74,,,,,,,,,South Dakota,Very good,3.0,0.0,Within past year (anytime less than 12 months ago),Yes,8.0,None of them,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,Yes,"White only, Non-Hispanic",1.73,68.04,Yes,No,Yes,No,"Yes, received tetanus shot, but not Tdap",No,No

decision_making/medical/classification/Indicators_of_Heart_Disease_(2022_UPDATE)_B2/test_003.csv

@@ -0,0 +1,4 @@
+HeartDisease,BMI,Smoking,AlcoholDrinking,Stroke,PhysicalHealth,MentalHealth,DiffWalking,Sex,AgeCategory,Race,Diabetic,PhysicalActivity,GenHealth,SleepTime,Asthma,KidneyDisease,SkinCancer,State,GeneralHealth,PhysicalHealthDays,MentalHealthDays,LastCheckupTime,PhysicalActivities,SleepHours,RemovedTeeth,HadHeartAttack,HadAngina,HadStroke,HadAsthma,HadSkinCancer,HadCOPD,HadDepressiveDisorder,HadKidneyDisease,HadArthritis,HadDiabetes,DeafOrHardOfHearing,BlindOrVisionDifficulty,DifficultyConcentrating,DifficultyWalking,DifficultyDressingBathing,DifficultyErrands,SmokerStatus,ECigaretteUsage,ChestScan,RaceEthnicityCategory,HeightInMeters,WeightInKilograms,AlcoholDrinkers,HIVTesting,FluVaxLast12,PneumoVaxEver,TetanusLast10Tdap,HighRiskLastYear,CovidPos
+,24.03,,,,,,,Female,Age 65 to 69,,,,,,,,,Puerto Rico,Good,0.0,30.0,Within past year (anytime less than 12 months ago),Yes,12.0,1 to 5,No,No,No,No,No,No,Yes,No,,No,Yes,Yes,Yes,No,No,No,Never smoked,Never used e-cigarettes in my entire life,,Hispanic,1.63,63.5,No,Yes,No,No,"No, did not receive any tetanus shot in the past 10 years",No,No
+,23.91,,,,,,,Female,Age 35 to 39,,,,,,,,,Nevada,Good,5.0,5.0,Within past year (anytime less than 12 months ago),Yes,7.0,None of them,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,No,Hispanic,1.6,61.23,No,No,Yes,No,"Yes, received tetanus shot but not sure what type",No,Yes
+,29.53,,,,,,,Male,Age 60 to 64,,,,,,,,,Iowa,Very good,0.0,0.0,5 or more years ago,No,6.0,1 to 5,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,No,Never smoked,Never used e-cigarettes in my entire life,No,"White only, Non-Hispanic",1.75,90.72,Yes,No,No,No,"Yes, received tetanus shot, but not Tdap",No,No

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_001.json

@@ -0,0 +1,61 @@
+{
+  "id": "001",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "My doctor is reviewing patient files to identify individuals at higher risk for sleep apnea, and I'm helping to sort through some records. The first candidate, person 82, is a 34-year-old woman working as a scientist. Her sleep duration is only 5.8 hours, and she rates the quality quite low at a 4 out of 10. She has a high stress level of 8, engages in about 32 minutes of daily physical activity, and her BMI is categorized as Overweight. Her blood pressure reads 131/86, with a resting heart rate of 81 bpm, and she averages 5200 steps per day. The second record is for person 128, a 38-year-old female accountant. She gets a healthier 7.1 hours of sleep, rating its quality an 8. Her stress is much lower at 4, she's active for 60 minutes daily, and her BMI is Normal. Her blood pressure is 115/75, heart rate is 68 bpm, and she takes around 7000 steps. Given our focus on spotting sleep apnea risk, which of these two individuals should we flag for a closer look?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "82",
+          "Gender": "Female",
+          "Age": "34",
+          "Occupation": "Scientist",
+          "Sleep Duration": "5.8",
+          "Quality of Sleep": "4",
+          "Physical Activity Level": "32",
+          "Stress Level": "8",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "131/86",
+          "Heart Rate": "81",
+          "Daily Steps": "5200",
+          "Sleep Disorder": "Sleep Apnea"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "128",
+          "Gender": "Female",
+          "Age": "38",
+          "Occupation": "Accountant",
+          "Sleep Duration": "7.1",
+          "Quality of Sleep": "8",
+          "Physical Activity Level": "60",
+          "Stress Level": "4",
+          "BMI Category": "Normal",
+          "Blood Pressure": "115/75",
+          "Heart Rate": "68",
+          "Daily Steps": "7000",
+          "Sleep Disorder": ""
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_002.json

@@ -0,0 +1,79 @@
+{
+  "id": "002",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "These three files from our lifestyle database have me a bit puzzled. The first option details a female teacher, 45 years old with ID 259. Her sleep pattern shows 6.6 hours of rest, a quality score of 7, and she notes a stress level of 4. Her health markers include an Overweight BMI and blood pressure measured at 135/90, alongside a 65 bpm heart rate. Shifting focus, the second candidate, ID 314, is a 52-year-old woman in engineering. She enjoys 8.4 hours of sleep rated a 9 for quality, incorporates 30 minutes of physical activity into her day, and maintains a Normal BMI. Her heart rate is 65, and she logs 5000 daily steps. The third record is for a male doctor, 32 years old (ID 54). He sleeps 7.6 hours, is very physically active at 75 minutes per day and 8000 steps, has a Normal BMI, blood pressure of 120/80, and a 70 bpm heart rate. I need to single out the one most predisposed to insomnia—can you help me figure that out?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "259",
+          "Gender": "Female",
+          "Age": "45",
+          "Occupation": "Teacher",
+          "Sleep Duration": "6.6",
+          "Quality of Sleep": "7",
+          "Physical Activity Level": null,
+          "Stress Level": "4",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "135/90",
+          "Heart Rate": "65",
+          "Daily Steps": null,
+          "Sleep Disorder": "Insomnia"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "314",
+          "Gender": "Female",
+          "Age": "52",
+          "Occupation": "Engineer",
+          "Sleep Duration": "8.4",
+          "Quality of Sleep": "9",
+          "Physical Activity Level": "30",
+          "Stress Level": null,
+          "BMI Category": "Normal",
+          "Blood Pressure": null,
+          "Heart Rate": "65",
+          "Daily Steps": "5000",
+          "Sleep Disorder": ""
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "Person ID": "54",
+          "Gender": "Male",
+          "Age": "32",
+          "Occupation": "Doctor",
+          "Sleep Duration": "7.6",
+          "Quality of Sleep": null,
+          "Physical Activity Level": "75",
+          "Stress Level": null,
+          "BMI Category": "Normal",
+          "Blood Pressure": "120/80",
+          "Heart Rate": "70",
+          "Daily Steps": "8000",
+          "Sleep Disorder": ""
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_003.json

@@ -0,0 +1,61 @@
+{
+  "id": "003",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "user",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "These two patient summaries present quite a contrast for my review. Person 364 is a female nurse, 59 years old. Her sleep pattern shows 8.2 hours of duration and an impressive self-assessed quality of 9. She maintains 75 minutes of daily physical activity, walks 7,000 steps, and has a low stress level of 3. Her clinical data indicates an overweight BMI, a blood pressure reading of 140/95, and a heart rate of 68. Conversely, the record for person 265 details a 48-year-old male doctor. He gets 7.3 hours of sleep, rating it a 7 for quality. His activity includes 65 minutes of exercise and 3,500 steps per day, and he experiences a stress level of 5. He is classified as obese, with blood pressure at 142/92 and a heart rate of 83. I need to select the one whose profile more strongly suggests insomnia. Who would that be?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "364",
+          "Gender": "Female",
+          "Age": "59",
+          "Occupation": "Nurse",
+          "Sleep Duration": "8.2",
+          "Quality of Sleep": "9",
+          "Physical Activity Level": "75",
+          "Stress Level": "3",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "140/95",
+          "Heart Rate": "68",
+          "Daily Steps": "7000",
+          "Sleep Disorder": "Sleep Apnea"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "265",
+          "Gender": "Male",
+          "Age": "48",
+          "Occupation": "Doctor",
+          "Sleep Duration": "7.3",
+          "Quality of Sleep": "7",
+          "Physical Activity Level": "65",
+          "Stress Level": "5",
+          "BMI Category": "Obese",
+          "Blood Pressure": "142/92",
+          "Heart Rate": "83",
+          "Daily Steps": "3500",
+          "Sleep Disorder": "Insomnia"
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_004.json

@@ -0,0 +1,61 @@
+{
+  "id": "004",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "Two potential candidates have come in for a lifestyle assessment, and their profiles present quite a contrast. Let's start with the individual identified as Person ID 19: a female nurse, 29 years old. Her nightly sleep lasts 6.5 hours, though she only gives it a quality score of 5. Each day includes 40 minutes of physical activity, countered by a stress level rated 7. Her BMI category is Normal Weight, her blood pressure is measured at 132 over 87, her heart rate sits at 80 beats per minute, and she averages 4000 steps daily. Then there's the second candidate, Person ID 105. This 36-year-old female works as a teacher. She manages 7.2 hours of sleep and rates its quality an 8. Her physical activity level is higher at 60 minutes per day, and her stress is a lower 4. She is in the Normal BMI range, has a blood pressure of 115/75, a heart rate of 68, and takes 7000 steps a day.  To make sense of it, you can check them against our historical archives. Against the backdrop of our old records, does one of these profiles seem more likely to be flagged for sleep apnea?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "19",
+          "Gender": "Female",
+          "Age": "29",
+          "Occupation": "Nurse",
+          "Sleep Duration": "6.5",
+          "Quality of Sleep": "5",
+          "Physical Activity Level": "40",
+          "Stress Level": "7",
+          "BMI Category": "Normal Weight",
+          "Blood Pressure": "132/87",
+          "Heart Rate": "80",
+          "Daily Steps": "4000",
+          "Sleep Disorder": "Insomnia"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "105",
+          "Gender": "Female",
+          "Age": "36",
+          "Occupation": "Teacher",
+          "Sleep Duration": "7.2",
+          "Quality of Sleep": "8",
+          "Physical Activity Level": "60",
+          "Stress Level": "4",
+          "BMI Category": "Normal",
+          "Blood Pressure": "115/75",
+          "Heart Rate": "68",
+          "Daily Steps": "7000",
+          "Sleep Disorder": "Sleep Apnea"
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_005.json

@@ -0,0 +1,79 @@
+{
+  "id": "005",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "It's a bit of a puzzle. The first, person 297, is a 50-year-old female in nursing. She sleeps 6.1 hours, calls it a 6 in quality, and is very active with 90 minutes and 10000 steps. However, her stress sits at an 8. She's classified as Overweight, her blood pressure is 140 over 95, and her heart beats at 75 per minute.  Entry number two, ID 229, belongs to a 44-year-old female teacher. She manages 6.6 hours of sleep, feels it's a 7 in quality, and has moderate activity: 45 minutes and 6000 steps. Her stress is notably lower at 4. The Overweight BMI category applies here too, with vitals of 135/90 blood pressure and a 65 bpm heart rate.  The third, person 249, is a 44-year-old male working in sales. His sleep is 6.4 hours with a quality score of 6. Daily activity mirrors the teacher's at 45 minutes and 6000 steps, but stress is higher at 7. He is Overweight, has a blood pressure of 130 over 85, and a heart rate of 72. I've shared our historical files for reference—based on all this, who seems the most likely Insomnia case?",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "297",
+          "Gender": "Female",
+          "Age": "50",
+          "Occupation": "Nurse",
+          "Sleep Duration": "6.1",
+          "Quality of Sleep": "6",
+          "Physical Activity Level": "90",
+          "Stress Level": "8",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "140/95",
+          "Heart Rate": "75",
+          "Daily Steps": "10000",
+          "Sleep Disorder": "Sleep Apnea"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "229",
+          "Gender": "Female",
+          "Age": "44",
+          "Occupation": "Teacher",
+          "Sleep Duration": "6.6",
+          "Quality of Sleep": "7",
+          "Physical Activity Level": "45",
+          "Stress Level": "4",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "135/90",
+          "Heart Rate": "65",
+          "Daily Steps": "6000",
+          "Sleep Disorder": "Insomnia"
+        }
+      },
+      {
+        "scenario_id": "003",
+        "features": {
+          "Person ID": "249",
+          "Gender": "Male",
+          "Age": "44",
+          "Occupation": "Salesperson",
+          "Sleep Duration": "6.4",
+          "Quality of Sleep": "6",
+          "Physical Activity Level": "45",
+          "Stress Level": "7",
+          "BMI Category": "Overweight",
+          "Blood Pressure": "130/85",
+          "Heart Rate": "72",
+          "Daily Steps": "6000",
+          "Sleep Disorder": ""
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "002",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}

decision_making/medical/classification/Sleep_Health_and_Lifestyle_Dataset_B2/Sleep_Health_and_Lifestyle_Dataset_B2_006.json

@@ -0,0 +1,61 @@
+{
+  "id": "006",
+  "task_type": "B2",
+  "subtask_type": "choice",
+  "perspective": "data_holder",
+  "dataset_name": "Sleep_Health_and_Lifestyle_Dataset",
+  "table_path": "kaggle/Sleep_Health_and_Lifestyle_Dataset",
+  "query": "Pulling up the recent files, for person 373, the data shows a female nurse, age 59. She enjoys great sleep, rating it a 9. She's quite active for 75 minutes daily, feels minimal stress at a level 3, and her vitals include a blood pressure of 140/95 and a heart rate of 68 bpm. She walks 7000 steps a day. Then we have person 73, a 33-year-old man. His sleep score is a middling 6. Physical activity is lower at 30 minutes, but stress is notably higher at 8. He falls in the Normal BMI range, has a blood pressure of 125/80, a heart rate of 72, and a daily step count of 5000. Comparing these two to the history of disorders we've logged, who would you flag as the stronger candidate for Sleep Apnea? It's a tricky comparison.",
+  "meta_info": {
+    "domain": "medical"
+  },
+  "ground_truth": {
+    "extracted_features": [
+      {
+        "scenario_id": "001",
+        "features": {
+          "Person ID": "373",
+          "Gender": "Female",
+          "Age": "59",
+          "Occupation": "Nurse",
+          "Sleep Duration": null,
+          "Quality of Sleep": "9",
+          "Physical Activity Level": "75",
+          "Stress Level": "3",
+          "BMI Category": null,
+          "Blood Pressure": "140/95",
+          "Heart Rate": "68",
+          "Daily Steps": "7000",
+          "Sleep Disorder": "Sleep Apnea"
+        }
+      },
+      {
+        "scenario_id": "002",
+        "features": {
+          "Person ID": "73",
+          "Gender": "Male",
+          "Age": "33",
+          "Occupation": null,
+          "Sleep Duration": null,
+          "Quality of Sleep": "6",
+          "Physical Activity Level": "30",
+          "Stress Level": "8",
+          "BMI Category": "Normal",
+          "Blood Pressure": "125/80",
+          "Heart Rate": "72",
+          "Daily Steps": "5000",
+          "Sleep Disorder": ""
+        }
+      }
+    ],
+    "target_column": "Sleep Disorder",
+    "task_sub_type": "classification",
+    "final_decision": "001",
+    "what_if": "",
+    "ranking_ground_truth": {
+      "top_k_ids": []
+    }
+  },
+  "response": "",
+  "evaluation_score": {}
+}