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  1. classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/metadata.json +29 -0
  2. classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/test.jsonl +191 -0
  3. classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/train.csv +0 -0
  4. classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/train.jsonl +0 -0
  5. classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/metadata.json +23 -0
  6. classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/test.csv +226 -0
  7. classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/test.jsonl +0 -0
  8. classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/train.csv +0 -0
  9. classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/train.jsonl +0 -0
  10. classification/unipredict/akshaydattatraykhare-diabetes-dataset/metadata.json +23 -0
  11. classification/unipredict/akshaydattatraykhare-diabetes-dataset/test.csv +78 -0
  12. classification/unipredict/akshaydattatraykhare-diabetes-dataset/test.jsonl +77 -0
  13. classification/unipredict/akshaydattatraykhare-diabetes-dataset/train.csv +692 -0
  14. classification/unipredict/akshaydattatraykhare-diabetes-dataset/train.jsonl +0 -0
  15. classification/unipredict/alexisbcook-pakistan-intellectual-capital/metadata.json +68 -0
  16. classification/unipredict/alexisbcook-pakistan-intellectual-capital/test.csv +137 -0
  17. classification/unipredict/alexisbcook-pakistan-intellectual-capital/test.jsonl +125 -0
  18. classification/unipredict/alexisbcook-pakistan-intellectual-capital/train.csv +0 -0
  19. classification/unipredict/alexisbcook-pakistan-intellectual-capital/train.jsonl +0 -0
  20. classification/unipredict/alirezachahardoli-bank-personal-loan-1/metadata.json +23 -0
  21. classification/unipredict/alirezachahardoli-bank-personal-loan-1/test.csv +501 -0
  22. classification/unipredict/alirezachahardoli-bank-personal-loan-1/test.jsonl +0 -0
  23. classification/unipredict/alirezachahardoli-bank-personal-loan-1/train.csv +0 -0
  24. classification/unipredict/alirezachahardoli-bank-personal-loan-1/train.jsonl +0 -0
  25. classification/unipredict/altruistdelhite04-gold-price-data/metadata.json +29 -0
  26. classification/unipredict/altruistdelhite04-gold-price-data/test.csv +233 -0
  27. classification/unipredict/altruistdelhite04-gold-price-data/test.jsonl +232 -0
  28. classification/unipredict/altruistdelhite04-gold-price-data/train.csv +0 -0
  29. classification/unipredict/altruistdelhite04-gold-price-data/train.jsonl +0 -0
  30. classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/metadata.json +29 -0
  31. classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/test.csv +287 -0
  32. classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/test.jsonl +0 -0
  33. classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/train.csv +0 -0
  34. classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/train.jsonl +0 -0
  35. classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/metadata.json +23 -0
  36. classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/test.csv +173 -0
  37. classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/test.jsonl +172 -0
  38. classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/train.csv +0 -0
  39. classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/train.jsonl +0 -0
  40. classification/unipredict/ananthr1-weather-prediction/metadata.json +32 -0
  41. classification/unipredict/ananthr1-weather-prediction/test.csv +150 -0
  42. classification/unipredict/ananthr1-weather-prediction/test.jsonl +149 -0
  43. classification/unipredict/ananthr1-weather-prediction/train.csv +1313 -0
  44. classification/unipredict/ananthr1-weather-prediction/train.jsonl +0 -0
  45. classification/unipredict/andrewmvd-fetal-health-classification/metadata.json +26 -0
  46. classification/unipredict/andrewmvd-fetal-health-classification/test.csv +215 -0
  47. classification/unipredict/andrewmvd-fetal-health-classification/test.jsonl +0 -0
  48. classification/unipredict/andrewmvd-fetal-health-classification/train.csv +0 -0
  49. classification/unipredict/andrewmvd-fetal-health-classification/train.jsonl +0 -0
  50. classification/unipredict/andrewmvd-udemy-courses/metadata.json +29 -0
classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/metadata.json ADDED
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+ {
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+ "dataset": "ahsan81-food-ordering-and-delivery-app-dataset",
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+ "benchmark": "unipredict",
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+ "sub_benchmark": "",
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+ "task_type": "clf",
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+ "data_type": "mixed",
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+ "target_column": "rating",
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+ "label_values": [
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+ "5",
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+ "4",
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+ "3",
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+ "Not given"
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+ ],
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+ "num_labels": 4,
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+ "train_samples": 1707,
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+ "test_samples": 191,
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+ "train_label_distribution": {
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+ "4": 347,
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+ "Not given": 662,
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+ "5": 529,
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+ "3": 169
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+ },
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+ "test_label_distribution": {
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+ "5": 59,
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+ "4": 39,
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+ "Not given": 74,
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+ "3": 19
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+ }
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+ }
classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/test.jsonl ADDED
@@ -0,0 +1,191 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The order_id is 1478366. The customer_id is 270149. The restaurant_name is Samurai Mama. The cuisine_type is Japanese. The cost_of_the_order is 11.64. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The order_id is 1477990. The customer_id is 59673. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 12.95. The day_of_the_week is Weekend. The food_preparation_time is 30. The delivery_time is 25.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The order_id is 1477927. The customer_id is 351329. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 12.23. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 26.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The order_id is 1478351. The customer_id is 78939. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 12.08. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The order_id is 1478335. The customer_id is 84502. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 25.17. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 29.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The order_id is 1476547. The customer_id is 83095. The restaurant_name is Bareburger. The cuisine_type is American. The cost_of_the_order is 6.84. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 24.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The order_id is 1478087. The customer_id is 96921. The restaurant_name is Bareburger. The cuisine_type is American. The cost_of_the_order is 8.39. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 30.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The order_id is 1476567. The customer_id is 122609. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 13.0. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 15.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The order_id is 1476971. The customer_id is 250494. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 28.57. The day_of_the_week is Weekday. The food_preparation_time is 22. The delivery_time is 32.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The order_id is 1477029. The customer_id is 295111. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 13.0. The day_of_the_week is Weekday. The food_preparation_time is 23. The delivery_time is 26.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The order_id is 1477319. The customer_id is 145389. The restaurant_name is Westville Hudson. The cuisine_type is American. The cost_of_the_order is 20.23. The day_of_the_week is Weekday. The food_preparation_time is 31. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The order_id is 1476924. The customer_id is 153048. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 21.83. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 23.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The order_id is 1477166. The customer_id is 402215. The restaurant_name is RedFarm Hudson. The cuisine_type is Chinese. The cost_of_the_order is 21.29. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 25.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The order_id is 1477337. The customer_id is 123780. The restaurant_name is Five Guys Burgers and Fries. The cuisine_type is American. The cost_of_the_order is 33.03. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 25.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The order_id is 1476778. The customer_id is 276192. The restaurant_name is Sushi of Gari Tribeca. The cuisine_type is Japanese. The cost_of_the_order is 31.33. The day_of_the_week is Weekday. The food_preparation_time is 34. The delivery_time is 26.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The order_id is 1477883. The customer_id is 91817. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 29.39. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The order_id is 1478083. The customer_id is 91817. The restaurant_name is Lucky's Famous Burgers. The cuisine_type is American. The cost_of_the_order is 5.77. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 20.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The order_id is 1477663. The customer_id is 93133. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 29.29. The day_of_the_week is Weekday. The food_preparation_time is 30. The delivery_time is 24.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The order_id is 1476853. The customer_id is 139626. The restaurant_name is L'Express. The cuisine_type is French. The cost_of_the_order is 16.98. The day_of_the_week is Weekday. The food_preparation_time is 35. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The order_id is 1477622. The customer_id is 84087. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 12.71. The day_of_the_week is Weekday. The food_preparation_time is 29. The delivery_time is 33.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The order_id is 1478028. The customer_id is 44594. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 24.25. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The order_id is 1477217. The customer_id is 139639. The restaurant_name is Sushi of Gari 46. The cuisine_type is Japanese. The cost_of_the_order is 29.15. The day_of_the_week is Weekday. The food_preparation_time is 32. The delivery_time is 32.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The order_id is 1477291. The customer_id is 198194. The restaurant_name is The Kati Roll Company. The cuisine_type is Indian. The cost_of_the_order is 19.4. The day_of_the_week is Weekday. The food_preparation_time is 24. The delivery_time is 30.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The order_id is 1476981. The customer_id is 138586. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 5.82. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The order_id is 1477899. The customer_id is 165485. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 8.68. The day_of_the_week is Weekend. The food_preparation_time is 20. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The order_id is 1477811. The customer_id is 373152. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 24.3. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The order_id is 1478424. The customer_id is 304052. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 11.59. The day_of_the_week is Weekday. The food_preparation_time is 35. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The order_id is 1476574. The customer_id is 376993. The restaurant_name is Emporio. The cuisine_type is Italian. The cost_of_the_order is 31.43. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The order_id is 1478280. The customer_id is 91722. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 19.4. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 15.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The order_id is 1478422. The customer_id is 197832. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 14.84. The day_of_the_week is Weekend. The food_preparation_time is 20. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The order_id is 1476583. The customer_id is 62929. The restaurant_name is Bareburger. The cuisine_type is American. The cost_of_the_order is 17.03. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 21.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The order_id is 1477788. The customer_id is 270444. The restaurant_name is P.J. Clarke's. The cuisine_type is American. The cost_of_the_order is 4.71. The day_of_the_week is Weekend. The food_preparation_time is 23. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The order_id is 1477710. The customer_id is 376578. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 5.92. The day_of_the_week is Weekday. The food_preparation_time is 34. The delivery_time is 24.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The order_id is 1476737. The customer_id is 94766. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 12.23. The day_of_the_week is Weekday. The food_preparation_time is 31. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The order_id is 1477167. The customer_id is 76907. The restaurant_name is Han Dynasty. The cuisine_type is Chinese. The cost_of_the_order is 14.8. The day_of_the_week is Weekday. The food_preparation_time is 23. The delivery_time is 25.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The order_id is 1477212. The customer_id is 49631. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 14.41. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The order_id is 1478302. The customer_id is 318665. The restaurant_name is Blue Ribbon Sushi Bar & Grill. The cuisine_type is Japanese. The cost_of_the_order is 4.9. The day_of_the_week is Weekday. The food_preparation_time is 29. The delivery_time is 32.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The order_id is 1477523. The customer_id is 53503. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 12.23. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 21.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The order_id is 1477327. The customer_id is 328731. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 13.97. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The order_id is 1478295. The customer_id is 117810. The restaurant_name is Momoya. The cuisine_type is Japanese. The cost_of_the_order is 19.35. The day_of_the_week is Weekday. The food_preparation_time is 29. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The order_id is 1476979. The customer_id is 81166. The restaurant_name is Dos Caminos. The cuisine_type is Mexican. The cost_of_the_order is 6.11. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 21.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The order_id is 1477698. The customer_id is 60835. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 29.35. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 17.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The order_id is 1478253. The customer_id is 67345. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 25.27. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The order_id is 1477718. The customer_id is 42755. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 16.11. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 26.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The order_id is 1477221. The customer_id is 125510. The restaurant_name is Blue Ribbon Sushi Izakaya. The cuisine_type is Japanese. The cost_of_the_order is 33.03. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 23.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The order_id is 1478338. The customer_id is 150865. The restaurant_name is Vanessa's Dumpling House. The cuisine_type is Chinese. The cost_of_the_order is 5.72. The day_of_the_week is Weekend. The food_preparation_time is 20. The delivery_time is 21.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The order_id is 1476610. The customer_id is 53212. The restaurant_name is TAO. The cuisine_type is Japanese. The cost_of_the_order is 12.27. The day_of_the_week is Weekday. The food_preparation_time is 26. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The order_id is 1477641. The customer_id is 128224. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 24.2. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 18.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The order_id is 1477550. The customer_id is 97324. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 29.05. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 29.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The order_id is 1477335. The customer_id is 84457. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 29.15. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The order_id is 1476551. The customer_id is 49034. The restaurant_name is The Smile. The cuisine_type is American. The cost_of_the_order is 12.18. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 27.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The order_id is 1477045. The customer_id is 143511. The restaurant_name is Chipotle Mexican Grill $1.99 Delivery. The cuisine_type is Mexican. The cost_of_the_order is 16.44. The day_of_the_week is Weekday. The food_preparation_time is 33. The delivery_time is 30.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The order_id is 1476910. The customer_id is 397362. The restaurant_name is TAO. The cuisine_type is Japanese. The cost_of_the_order is 8.1. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The order_id is 1478121. The customer_id is 62980. The restaurant_name is Westville Hudson. The cuisine_type is American. The cost_of_the_order is 8.34. The day_of_the_week is Weekday. The food_preparation_time is 22. The delivery_time is 26.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The order_id is 1477010. The customer_id is 49631. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 19.4. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 17.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The order_id is 1477180. The customer_id is 154339. The restaurant_name is Chipotle Mexican Grill $1.99 Delivery. The cuisine_type is Mexican. The cost_of_the_order is 29.15. The day_of_the_week is Weekday. The food_preparation_time is 21. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The order_id is 1476901. The customer_id is 391860. The restaurant_name is Lucky's Famous Burgers. The cuisine_type is American. The cost_of_the_order is 11.59. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 23.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The order_id is 1477936. The customer_id is 133202. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 9.17. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The order_id is 1477025. The customer_id is 331608. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 19.4. The day_of_the_week is Weekend. The food_preparation_time is 30. The delivery_time is 18.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The order_id is 1477955. The customer_id is 198936. The restaurant_name is Five Leaves. The cuisine_type is American. The cost_of_the_order is 10.24. The day_of_the_week is Weekday. The food_preparation_time is 22. The delivery_time is 25.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The order_id is 1478188. The customer_id is 99288. The restaurant_name is The Meatball Shop. The cuisine_type is American. The cost_of_the_order is 12.56. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 22.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The order_id is 1477518. The customer_id is 133202. The restaurant_name is Sushi Samba. The cuisine_type is Japanese. The cost_of_the_order is 29.05. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The order_id is 1478354. The customer_id is 52037. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 19.89. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The order_id is 1477120. The customer_id is 285774. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 6.79. The day_of_the_week is Weekday. The food_preparation_time is 21. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The order_id is 1477035. The customer_id is 141496. The restaurant_name is Dickson's Farmstand Meats. The cuisine_type is American. The cost_of_the_order is 33.03. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 20.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The order_id is 1477127. The customer_id is 314480. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 15.76. The day_of_the_week is Weekday. The food_preparation_time is 30. The delivery_time is 24.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The order_id is 1477604. The customer_id is 128711. The restaurant_name is RedFarm Hudson. The cuisine_type is Chinese. The cost_of_the_order is 12.56. The day_of_the_week is Weekend. The food_preparation_time is 20. The delivery_time is 22.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The order_id is 1477115. The customer_id is 87752. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 24.25. The day_of_the_week is Weekday. The food_preparation_time is 20. The delivery_time is 27.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The order_id is 1477986. The customer_id is 115213. The restaurant_name is Junoon. The cuisine_type is Indian. The cost_of_the_order is 22.75. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The order_id is 1478100. The customer_id is 62667. The restaurant_name is Balthazar Boulangerie. The cuisine_type is French. The cost_of_the_order is 21.93. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 20.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The order_id is 1476756. The customer_id is 263426. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 14.07. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 27.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The order_id is 1476622. The customer_id is 399332. The restaurant_name is Philippe Chow. The cuisine_type is Chinese. The cost_of_the_order is 24.2. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 30.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The order_id is 1476999. The customer_id is 63417. The restaurant_name is Pepe Rosso To Go. The cuisine_type is Italian. The cost_of_the_order is 24.2. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 19.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The order_id is 1477705. The customer_id is 60397. The restaurant_name is Jack's Wife Freda. The cuisine_type is Mediterranean. The cost_of_the_order is 12.18. The day_of_the_week is Weekend. The food_preparation_time is 33. The delivery_time is 23.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The order_id is 1477830. The customer_id is 61212. The restaurant_name is Tamarind TriBeCa. The cuisine_type is Indian. The cost_of_the_order is 15.77. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The order_id is 1476655. The customer_id is 91817. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 29.15. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 17.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The order_id is 1477401. The customer_id is 326426. The restaurant_name is Sushi of Gari. The cuisine_type is Japanese. The cost_of_the_order is 29.15. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The order_id is 1477245. The customer_id is 375585. The restaurant_name is TAO. The cuisine_type is Japanese. The cost_of_the_order is 24.25. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 27.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The order_id is 1477833. The customer_id is 27609. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 15.57. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 30.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The order_id is 1478255. The customer_id is 382076. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 6.69. The day_of_the_week is Weekday. The food_preparation_time is 20. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The order_id is 1476939. The customer_id is 111894. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 25.27. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The order_id is 1477101. The customer_id is 81828. The restaurant_name is The Meatball Shop. The cuisine_type is American. The cost_of_the_order is 14.55. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 30.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The order_id is 1478032. The customer_id is 146586. The restaurant_name is Dirty Bird to Go. The cuisine_type is American. The cost_of_the_order is 19.4. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 19.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The order_id is 1477043. The customer_id is 142356. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 6.74. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 28.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The order_id is 1478405. The customer_id is 58675. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 11.59. The day_of_the_week is Weekday. The food_preparation_time is 23. The delivery_time is 25.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The order_id is 1477443. The customer_id is 105903. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 24.3. The day_of_the_week is Weekday. The food_preparation_time is 35. The delivery_time is 29.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The order_id is 1477030. The customer_id is 240982. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 24.3. The day_of_the_week is Weekday. The food_preparation_time is 29. The delivery_time is 31.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The order_id is 1476807. The customer_id is 79215. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 16.49. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 30.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The order_id is 1477361. The customer_id is 115419. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 12.13. The day_of_the_week is Weekday. The food_preparation_time is 34. The delivery_time is 26.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The order_id is 1477255. The customer_id is 50199. The restaurant_name is Five Guys Burgers and Fries. The cuisine_type is American. The cost_of_the_order is 12.13. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The order_id is 1477225. The customer_id is 140530. The restaurant_name is Sushi of Gari 46. The cuisine_type is Japanese. The cost_of_the_order is 25.22. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The order_id is 1478308. The customer_id is 358158. The restaurant_name is Galli Restaurant. The cuisine_type is Italian. The cost_of_the_order is 16.06. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The order_id is 1477244. The customer_id is 47386. The restaurant_name is Bubby's. The cuisine_type is American. The cost_of_the_order is 12.18. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 31.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The order_id is 1476572. The customer_id is 356195. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 29.15. The day_of_the_week is Weekday. The food_preparation_time is 20. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The order_id is 1477116. The customer_id is 126730. The restaurant_name is The Kati Roll Company. The cuisine_type is Indian. The cost_of_the_order is 24.2. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The order_id is 1478092. The customer_id is 41318. The restaurant_name is Jack's Wife Freda. The cuisine_type is Mediterranean. The cost_of_the_order is 15.47. The day_of_the_week is Weekend. The food_preparation_time is 33. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The order_id is 1477359. The customer_id is 373285. The restaurant_name is RedFarm Hudson. The cuisine_type is Chinese. The cost_of_the_order is 12.08. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The order_id is 1477162. The customer_id is 42755. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 15.72. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 19.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The order_id is 1476710. The customer_id is 65009. The restaurant_name is Blue Ribbon Sushi Izakaya. The cuisine_type is Japanese. The cost_of_the_order is 8.93. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The order_id is 1476721. The customer_id is 131645. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 12.08. The day_of_the_week is Weekend. The food_preparation_time is 23. The delivery_time is 23.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The order_id is 1477147. The customer_id is 337525. The restaurant_name is Hangawi. The cuisine_type is Korean. The cost_of_the_order is 30.75. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 20.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The order_id is 1478046. The customer_id is 53289. The restaurant_name is The Loop. The cuisine_type is Japanese. The cost_of_the_order is 31.38. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 24.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The order_id is 1477048. The customer_id is 200074. The restaurant_name is Osteria Morini. The cuisine_type is Italian. The cost_of_the_order is 9.07. The day_of_the_week is Weekend. The food_preparation_time is 33. The delivery_time is 16.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The order_id is 1477756. The customer_id is 251607. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 14.12. The day_of_the_week is Weekday. The food_preparation_time is 31. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The order_id is 1477140. The customer_id is 366954. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 24.25. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 16.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The order_id is 1477959. The customer_id is 175290. The restaurant_name is Otto Enoteca Pizzeria. The cuisine_type is Italian. The cost_of_the_order is 29.05. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The order_id is 1476559. The customer_id is 47440. The restaurant_name is Bareburger. The cuisine_type is American. The cost_of_the_order is 15.57. The day_of_the_week is Weekday. The food_preparation_time is 24. The delivery_time is 28.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The order_id is 1477753. The customer_id is 65306. The restaurant_name is Sushi of Gari Tribeca. The cuisine_type is Japanese. The cost_of_the_order is 14.79. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The order_id is 1477524. The customer_id is 236739. The restaurant_name is Xi'an Famous Foods. The cuisine_type is Chinese. The cost_of_the_order is 19.45. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The order_id is 1477496. The customer_id is 132137. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 22.36. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 27.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The order_id is 1477857. The customer_id is 363202. The restaurant_name is S'MAC. The cuisine_type is American. The cost_of_the_order is 25.27. The day_of_the_week is Weekend. The food_preparation_time is 20. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The order_id is 1476864. The customer_id is 381020. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 31.86. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 19.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The order_id is 1477841. The customer_id is 18902. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 21.88. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 27.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The order_id is 1478036. The customer_id is 186976. The restaurant_name is Burger Joint. The cuisine_type is American. The cost_of_the_order is 8.35. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 17.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The order_id is 1476664. The customer_id is 164016. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 24.3. The day_of_the_week is Weekday. The food_preparation_time is 20. The delivery_time is 27.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The order_id is 1476993. The customer_id is 301825. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 12.23. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The order_id is 1476584. The customer_id is 363561. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 12.37. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 28.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The order_id is 1477751. The customer_id is 385134. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 16.2. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The order_id is 1477439. The customer_id is 113926. The restaurant_name is Five Guys Burgers and Fries. The cuisine_type is American. The cost_of_the_order is 12.08. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 27.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The order_id is 1477707. The customer_id is 133330. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 25.27. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The order_id is 1477163. The customer_id is 376578. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 15.76. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 24.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The order_id is 1477354. The customer_id is 67487. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 16.2. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 26.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The order_id is 1478010. The customer_id is 49987. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 6.69. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The order_id is 1476730. The customer_id is 344577. The restaurant_name is Chipotle Mexican Grill $1.99 Delivery. The cuisine_type is Mexican. The cost_of_the_order is 29.05. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 21.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The order_id is 1477287. The customer_id is 111125. The restaurant_name is Otto Enoteca Pizzeria. The cuisine_type is Italian. The cost_of_the_order is 14.99. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 21.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The order_id is 1477122. The customer_id is 97806. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 8.63. The day_of_the_week is Weekend. The food_preparation_time is 33. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The order_id is 1477588. The customer_id is 286386. The restaurant_name is 5 Napkin Burger. The cuisine_type is American. The cost_of_the_order is 29.05. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 21.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The order_id is 1478420. The customer_id is 104355. The restaurant_name is Momoya. The cuisine_type is Japanese. The cost_of_the_order is 15.81. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 15.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The order_id is 1477250. The customer_id is 41409. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 19.35. The day_of_the_week is Weekend. The food_preparation_time is 28. The delivery_time is 30.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The order_id is 1476603. The customer_id is 48677. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 12.95. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The order_id is 1478152. The customer_id is 304708. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 5.92. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 25.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The order_id is 1477642. The customer_id is 370405. The restaurant_name is Haveli Indian Restaurant. The cuisine_type is Indian. The cost_of_the_order is 5.72. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 26.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The order_id is 1478305. The customer_id is 62359. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 8.0. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 29.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The order_id is 1478376. The customer_id is 67133. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 9.65. The day_of_the_week is Weekend. The food_preparation_time is 30. The delivery_time is 20.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The order_id is 1478356. The customer_id is 62540. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 16.44. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 18.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The order_id is 1478425. The customer_id is 373152. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 14.02. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 32.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The order_id is 1478357. The customer_id is 142356. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 14.07. The day_of_the_week is Weekday. The food_preparation_time is 35. The delivery_time is 29.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The order_id is 1476793. The customer_id is 77339. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 9.17. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 25.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The order_id is 1478227. The customer_id is 367591. The restaurant_name is Taro Sushi. The cuisine_type is Japanese. The cost_of_the_order is 16.05. The day_of_the_week is Weekday. The food_preparation_time is 35. The delivery_time is 32.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The order_id is 1476852. The customer_id is 369809. The restaurant_name is Five Guys Burgers and Fries. The cuisine_type is American. The cost_of_the_order is 19.45. The day_of_the_week is Weekday. The food_preparation_time is 28. The delivery_time is 28.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The order_id is 1477235. The customer_id is 115841. The restaurant_name is Rubirosa. The cuisine_type is Italian. The cost_of_the_order is 15.38. The day_of_the_week is Weekday. The food_preparation_time is 30. The delivery_time is 31.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The order_id is 1477232. The customer_id is 275689. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 9.17. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The order_id is 1477503. The customer_id is 99621. The restaurant_name is Westville Hudson. The cuisine_type is American. The cost_of_the_order is 24.3. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The order_id is 1478333. The customer_id is 93437. The restaurant_name is Sushi of Gari 46. The cuisine_type is Japanese. The cost_of_the_order is 22.26. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 26.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The order_id is 1477423. The customer_id is 80466. The restaurant_name is J. G. Melon. The cuisine_type is American. The cost_of_the_order is 14.6. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 24.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The order_id is 1476787. The customer_id is 78887. The restaurant_name is TAO. The cuisine_type is Japanese. The cost_of_the_order is 6.69. The day_of_the_week is Weekday. The food_preparation_time is 26. The delivery_time is 25.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The order_id is 1478218. The customer_id is 209418. The restaurant_name is Izakaya Ten. The cuisine_type is Japanese. The cost_of_the_order is 6.02. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The order_id is 1477535. The customer_id is 125123. The restaurant_name is S'MAC. The cuisine_type is American. The cost_of_the_order is 15.57. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The order_id is 1478086. The customer_id is 81333. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 9.07. The day_of_the_week is Weekend. The food_preparation_time is 24. The delivery_time is 16.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
150
+ {"text": "The order_id is 1477499. The customer_id is 306119. The restaurant_name is Xi'an Famous Foods. The cuisine_type is Chinese. The cost_of_the_order is 14.12. The day_of_the_week is Weekend. The food_preparation_time is 32. The delivery_time is 19.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
151
+ {"text": "The order_id is 1477691. The customer_id is 366327. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 16.44. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 26.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
152
+ {"text": "The order_id is 1477607. The customer_id is 386995. The restaurant_name is Han Dynasty. The cuisine_type is Chinese. The cost_of_the_order is 9.75. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 25.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
153
+ {"text": "The order_id is 1476743. The customer_id is 183520. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 6.69. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 26.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
154
+ {"text": "The order_id is 1476598. The customer_id is 41168. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 12.13. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 22.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
155
+ {"text": "The order_id is 1478211. The customer_id is 154030. The restaurant_name is RedFarm Hudson. The cuisine_type is Chinese. The cost_of_the_order is 33.03. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 22.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
156
+ {"text": "The order_id is 1477039. The customer_id is 338923. The restaurant_name is Hill Country Fried Chicken. The cuisine_type is Southern. The cost_of_the_order is 22.31. The day_of_the_week is Weekday. The food_preparation_time is 21. The delivery_time is 25.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
157
+ {"text": "The order_id is 1477803. The customer_id is 165110. The restaurant_name is Room Service. The cuisine_type is Thai. The cost_of_the_order is 12.23. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 16.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
158
+ {"text": "The order_id is 1477186. The customer_id is 291891. The restaurant_name is The Kati Roll Company. The cuisine_type is Indian. The cost_of_the_order is 11.64. The day_of_the_week is Weekend. The food_preparation_time is 34. The delivery_time is 18.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
159
+ {"text": "The order_id is 1476843. The customer_id is 361846. The restaurant_name is Sarabeth's West. The cuisine_type is American. The cost_of_the_order is 14.12. The day_of_the_week is Weekday. The food_preparation_time is 21. The delivery_time is 33.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
160
+ {"text": "The order_id is 1478090. The customer_id is 62359. The restaurant_name is Blue Ribbon Sushi Izakaya. The cuisine_type is Japanese. The cost_of_the_order is 16.01. The day_of_the_week is Weekday. The food_preparation_time is 23. The delivery_time is 27.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
161
+ {"text": "The order_id is 1478015. The customer_id is 364714. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 8.97. The day_of_the_week is Weekday. The food_preparation_time is 22. The delivery_time is 31.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
162
+ {"text": "The order_id is 1476651. The customer_id is 58092. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 8.0. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 23.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
163
+ {"text": "The order_id is 1478055. The customer_id is 7567. The restaurant_name is indikitch. The cuisine_type is Indian. The cost_of_the_order is 5.58. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 30.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
164
+ {"text": "The order_id is 1477818. The customer_id is 144352. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 22.36. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 27.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
165
+ {"text": "The order_id is 1477138. The customer_id is 47280. The restaurant_name is RedFarm Hudson. The cuisine_type is Chinese. The cost_of_the_order is 14.12. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 24.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
166
+ {"text": "The order_id is 1478291. The customer_id is 385134. The restaurant_name is RedFarm Broadway. The cuisine_type is Chinese. The cost_of_the_order is 31.87. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 18.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
167
+ {"text": "The order_id is 1478136. The customer_id is 61388. The restaurant_name is Five Guys Burgers and Fries. The cuisine_type is American. The cost_of_the_order is 14.12. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 27.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
168
+ {"text": "The order_id is 1476975. The customer_id is 350373. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 12.23. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 26.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
169
+ {"text": "The order_id is 1477817. The customer_id is 335897. The restaurant_name is Sushi of Gari 46. The cuisine_type is Japanese. The cost_of_the_order is 12.18. The day_of_the_week is Weekday. The food_preparation_time is 24. The delivery_time is 27.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
170
+ {"text": "The order_id is 1478325. The customer_id is 399373. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 29.1. The day_of_the_week is Weekday. The food_preparation_time is 29. The delivery_time is 24.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
171
+ {"text": "The order_id is 1476549. The customer_id is 75169. The restaurant_name is Tamarind TriBeCa. The cuisine_type is Indian. The cost_of_the_order is 6.74. The day_of_the_week is Weekend. The food_preparation_time is 25. The delivery_time is 26.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
172
+ {"text": "The order_id is 1476881. The customer_id is 57263. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 15.76. The day_of_the_week is Weekday. The food_preparation_time is 27. The delivery_time is 28.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
173
+ {"text": "The order_id is 1477105. The customer_id is 67844. The restaurant_name is The Smile. The cuisine_type is American. The cost_of_the_order is 9.17. The day_of_the_week is Weekday. The food_preparation_time is 26. The delivery_time is 28.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
174
+ {"text": "The order_id is 1476682. The customer_id is 86731. The restaurant_name is Mission Cantina. The cuisine_type is Mexican. The cost_of_the_order is 12.08. The day_of_the_week is Weekend. The food_preparation_time is 30. The delivery_time is 18.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
175
+ {"text": "The order_id is 1477463. The customer_id is 66505. The restaurant_name is Mamoun's Falafel. The cuisine_type is Mediterranean. The cost_of_the_order is 12.18. The day_of_the_week is Weekday. The food_preparation_time is 25. The delivery_time is 30.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
176
+ {"text": "The order_id is 1478194. The customer_id is 67937. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 15.52. The day_of_the_week is Weekend. The food_preparation_time is 22. The delivery_time is 17.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
177
+ {"text": "The order_id is 1476561. The customer_id is 115213. The restaurant_name is Tamarind TriBeCa. The cuisine_type is Indian. The cost_of_the_order is 13.24. The day_of_the_week is Weekend. The food_preparation_time is 23. The delivery_time is 30.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
178
+ {"text": "The order_id is 1477772. The customer_id is 91958. The restaurant_name is TAO. The cuisine_type is Japanese. The cost_of_the_order is 12.18. The day_of_the_week is Weekday. The food_preparation_time is 26. The delivery_time is 33.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
179
+ {"text": "The order_id is 1477308. The customer_id is 321255. The restaurant_name is Shake Shack. The cuisine_type is American. The cost_of_the_order is 5.63. The day_of_the_week is Weekend. The food_preparation_time is 27. The delivery_time is 16.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
180
+ {"text": "The order_id is 1477679. The customer_id is 120833. The restaurant_name is Bareburger. The cuisine_type is American. The cost_of_the_order is 16.25. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
181
+ {"text": "The order_id is 1477865. The customer_id is 120490. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 8.2. The day_of_the_week is Weekday. The food_preparation_time is 34. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
182
+ {"text": "The order_id is 1477760. The customer_id is 130507. The restaurant_name is Jack's Wife Freda. The cuisine_type is Mediterranean. The cost_of_the_order is 22.75. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 29.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
183
+ {"text": "The order_id is 1477935. The customer_id is 378482. The restaurant_name is Lamarca Pasta. The cuisine_type is Italian. The cost_of_the_order is 9.22. The day_of_the_week is Weekend. The food_preparation_time is 23. The delivery_time is 19.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
184
+ {"text": "The order_id is 1478324. The customer_id is 250494. The restaurant_name is Blue Ribbon Fried Chicken. The cuisine_type is American. The cost_of_the_order is 29.1. The day_of_the_week is Weekend. The food_preparation_time is 21. The delivery_time is 22.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
185
+ {"text": "The order_id is 1478382. The customer_id is 144997. The restaurant_name is Nobu Next Door. The cuisine_type is Japanese. The cost_of_the_order is 15.91. The day_of_the_week is Weekend. The food_preparation_time is 26. The delivery_time is 15.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
186
+ {"text": "The order_id is 1476947. The customer_id is 46859. The restaurant_name is The Meatball Shop. The cuisine_type is Italian. The cost_of_the_order is 8.54. The day_of_the_week is Weekday. The food_preparation_time is 24. The delivery_time is 29.", "label": "5", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
187
+ {"text": "The order_id is 1477709. The customer_id is 110461. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 5.97. The day_of_the_week is Weekend. The food_preparation_time is 31. The delivery_time is 30.", "label": "3", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
188
+ {"text": "The order_id is 1477966. The customer_id is 318451. The restaurant_name is Blue Ribbon Sushi. The cuisine_type is Japanese. The cost_of_the_order is 24.3. The day_of_the_week is Weekend. The food_preparation_time is 29. The delivery_time is 15.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
189
+ {"text": "The order_id is 1476663. The customer_id is 40010. The restaurant_name is Parm. The cuisine_type is Italian. The cost_of_the_order is 19.35. The day_of_the_week is Weekend. The food_preparation_time is 35. The delivery_time is 19.", "label": "4", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
190
+ {"text": "The order_id is 1477854. The customer_id is 58025. The restaurant_name is Tamarind TriBeCa. The cuisine_type is Indian. The cost_of_the_order is 11.64. The day_of_the_week is Weekend. The food_preparation_time is 33. The delivery_time is 23.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
191
+ {"text": "The order_id is 1477272. The customer_id is 143984. The restaurant_name is The Smile. The cuisine_type is American. The cost_of_the_order is 12.27. The day_of_the_week is Weekday. The food_preparation_time is 32. The delivery_time is 24.", "label": "Not given", "dataset": "ahsan81-food-ordering-and-delivery-app-dataset", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/train.csv ADDED
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classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/train.jsonl ADDED
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classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/metadata.json ADDED
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+ {
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+ "dataset": "ahsan81-superstore-marketing-campaign-dataset",
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+ "benchmark": "unipredict",
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+ "sub_benchmark": "",
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+ "task_type": "clf",
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+ "data_type": "mixed",
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+ "label_values": [
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+ "num_labels": 2,
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+ "train_samples": 2015,
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+ "test_samples": 225,
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+ "train_label_distribution": {
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+ "test_label_distribution": {
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classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/test.csv ADDED
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1
+ Id,Year_Birth,Education,Marital_Status,Income,Kidhome,Teenhome,Dt_Customer,Recency,MntWines,MntFruits,MntMeatProducts,MntFishProducts,MntSweetProducts,MntGoldProds,NumDealsPurchases,NumWebPurchases,NumCatalogPurchases,NumStorePurchases,NumWebVisitsMonth,Complain,Response
2
+ 2518,1986,2n Cycle,Together,20491.0,0,0,1/25/2013,16,5,4,5,4,2,10,1,0,1,2,7,0,0
3
+ 1523,1973,Graduation,Married,59041.0,1,1,7/5/2014,25,69,2,15,2,2,6,2,2,0,4,5,0,0
4
+ 2669,1993,Graduation,Single,74293.0,0,0,4/5/2014,66,375,152,335,93,91,81,1,5,4,6,2,0,0
5
+ 5885,1973,2n Cycle,Married,35688.0,2,1,8/22/2012,94,73,3,90,12,1,32,7,4,1,4,8,0,0
6
+ 8867,1988,PhD,Married,67546.0,0,0,8/31/2012,90,864,134,768,150,38,172,1,4,10,5,3,0,0
7
+ 4405,1956,Master,Married,63915.0,0,2,7/30/2013,2,622,7,115,30,0,15,2,6,3,12,5,0,0
8
+ 4095,1971,Graduation,Married,37150.0,1,0,11/9/2012,80,167,37,64,49,34,116,8,4,3,6,7,0,0
9
+ 6116,1968,2n Cycle,Married,48985.0,0,1,5/7/2013,13,19,13,18,10,7,8,1,1,1,3,3,0,0
10
+ 5386,1953,Graduation,Together,94384.0,0,0,4/3/2013,62,1111,24,790,160,45,172,0,5,8,5,2,0,1
11
+ 1665,1964,PhD,Divorced,64140.0,0,2,9/23/2013,71,1459,0,61,0,15,215,5,2,5,6,5,0,1
12
+ 5758,1982,Graduation,Married,65169.0,0,0,1/14/2014,23,1074,0,69,0,0,46,1,10,4,13,6,0,1
13
+ 3524,1971,Master,Single,39763.0,1,0,4/8/2013,9,80,1,60,4,6,16,2,5,1,2,9,0,1
14
+ 5181,1982,Basic,Single,24367.0,1,0,3/20/2013,58,2,4,2,0,11,5,1,1,0,2,9,0,0
15
+ 269,1963,PhD,Single,46757.0,0,1,11/16/2012,71,777,30,163,0,51,122,6,4,4,7,9,0,0
16
+ 1640,1954,Graduation,Divorced,64587.0,1,1,6/22/2014,49,66,0,16,0,6,20,2,1,1,4,3,0,0
17
+ 7488,1963,Master,Single,64191.0,0,1,1/22/2013,30,420,15,186,151,38,15,3,5,3,13,3,0,0
18
+ 252,1963,PhD,Divorced,41003.0,0,0,3/17/2013,11,123,133,142,71,44,88,1,6,2,8,6,0,0
19
+ 1448,1963,Master,Married,33562.0,1,2,6/25/2014,33,21,12,12,0,3,3,3,2,0,4,4,0,0
20
+ 9986,1982,Graduation,Together,19444.0,1,0,2/22/2014,8,16,0,23,3,2,10,3,4,1,2,7,0,1
21
+ 9955,1954,Graduation,Together,39898.0,0,1,12/2/2013,20,69,8,26,12,7,12,2,3,0,4,7,0,0
22
+ 5995,1962,Graduation,Divorced,39552.0,1,1,12/18/2012,54,165,3,147,4,24,41,7,6,2,5,8,0,1
23
+ 5846,1977,Graduation,Divorced,40246.0,1,0,12/19/2012,68,2,1,6,2,1,1,1,1,0,2,6,0,0
24
+ 6340,1985,Graduation,Single,29938.0,1,0,10/27/2013,52,3,3,7,0,2,11,2,1,0,3,6,0,0
25
+ 4107,1948,PhD,Together,46681.0,0,2,8/10/2013,52,269,15,69,15,19,38,2,4,6,4,5,0,0
26
+ 3807,1955,Graduation,Together,59925.0,0,1,11/30/2012,83,473,21,176,19,21,56,3,9,2,9,6,0,0
27
+ 326,1973,Graduation,Married,51148.0,1,1,2/18/2013,38,235,6,45,8,9,12,4,5,1,6,6,0,0
28
+ 6086,1955,Graduation,Married,80395.0,0,0,11/23/2013,62,445,25,706,80,76,48,1,6,5,12,2,0,0
29
+ 4179,1959,Graduation,Together,24221.0,0,0,8/20/2013,94,8,9,9,2,5,22,1,1,1,3,4,0,0
30
+ 10673,1976,PhD,Married,68397.0,0,1,11/17/2013,6,760,80,466,17,13,80,1,6,9,5,3,0,0
31
+ 7617,1974,Graduation,Single,42373.0,1,1,8/15/2013,83,67,5,61,3,8,19,5,2,1,5,5,0,0
32
+ 4478,1979,Graduation,Married,63777.0,1,1,3/24/2013,87,457,5,106,15,17,53,8,11,1,6,8,0,0
33
+ 6343,1959,Graduation,Married,79823.0,0,1,3/31/2014,6,835,73,380,114,73,43,1,6,9,7,2,0,0
34
+ 7414,1971,Graduation,Married,43824.0,1,1,9/15/2012,18,96,1,42,12,3,32,4,3,1,4,8,0,0
35
+ 8427,1956,Master,Single,64857.0,0,0,11/23/2012,78,556,14,717,210,0,43,1,7,5,10,4,0,0
36
+ 378,1971,Graduation,Married,52531.0,0,0,12/30/2012,68,283,112,151,51,72,125,2,7,2,10,6,0,0
37
+ 2937,1974,PhD,Single,68352.0,0,1,8/28/2013,47,614,16,132,43,33,33,3,8,5,9,6,0,0
38
+ 9624,1958,PhD,Together,65488.0,0,0,6/13/2014,46,603,45,207,36,18,54,1,3,4,6,1,0,0
39
+ 2724,1981,Master,Single,36143.0,1,0,3/30/2014,33,12,0,1,0,0,6,1,0,1,2,3,0,0
40
+ 6885,1977,Graduation,Divorced,32952.0,1,0,1/12/2013,36,38,0,12,3,1,1,1,2,0,3,7,0,0
41
+ 8230,1980,Graduation,Married,33228.0,1,0,1/23/2014,28,22,2,31,7,4,5,1,2,0,3,7,0,0
42
+ 5956,1948,PhD,Divorced,45072.0,1,2,10/16/2013,74,144,2,99,7,2,30,5,6,1,4,8,0,0
43
+ 3298,1956,Master,Married,52973.0,0,1,8/11/2012,92,856,0,76,12,9,199,7,9,6,9,8,0,0
44
+ 10507,1977,2n Cycle,Divorced,59601.0,0,1,7/25/2013,14,691,7,69,0,7,23,4,2,2,7,8,0,0
45
+ 2036,1973,PhD,Together,57906.0,0,1,11/6/2013,29,243,11,119,10,3,15,3,4,2,8,4,0,0
46
+ 5922,1974,PhD,Married,40344.0,0,1,10/13/2013,48,210,0,6,0,0,2,2,4,1,5,7,0,0
47
+ 10870,1967,Graduation,Married,61223.0,0,1,6/13/2013,46,709,43,182,42,118,247,2,9,3,4,5,0,0
48
+ 7899,1952,PhD,Married,77610.0,0,1,10/29/2012,70,1245,33,332,21,33,16,2,4,7,4,7,0,0
49
+ 8362,1982,PhD,Married,84169.0,0,0,7/8/2013,9,1478,19,403,0,19,0,1,7,6,6,3,0,1
50
+ 9064,1982,Graduation,Married,69109.0,0,0,9/11/2012,10,823,25,459,124,29,95,1,6,6,7,4,0,1
51
+ 7233,1972,Graduation,Married,69209.0,0,0,9/17/2012,4,496,32,849,229,48,128,2,5,3,6,4,0,0
52
+ 4427,1995,2n Cycle,Single,83257.0,0,0,9/18/2012,56,536,27,590,38,107,67,1,5,10,12,6,1,1
53
+ 1184,1968,PhD,Divorced,69674.0,0,2,5/22/2013,46,554,41,215,11,0,24,3,10,2,10,5,0,0
54
+ 8799,1984,PhD,Married,38175.0,1,0,9/23/2013,6,70,6,69,2,3,3,3,3,1,4,7,0,0
55
+ 6147,1971,Graduation,Divorced,25818.0,1,0,10/18/2012,51,5,2,8,2,2,9,1,0,1,2,7,0,0
56
+ 520,1974,Graduation,Married,34421.0,1,0,1/7/2013,81,3,3,7,6,2,9,1,1,0,2,7,0,0
57
+ 4487,1969,Master,Single,39858.0,1,0,1/24/2013,67,15,20,25,2,7,26,1,2,0,4,6,0,1
58
+ 6988,1986,Graduation,Married,71952.0,1,0,10/1/2013,93,656,80,455,52,107,93,2,8,4,8,4,0,0
59
+ 1992,1964,Graduation,Married,60597.0,0,1,1/1/2014,2,522,0,257,32,16,66,4,2,2,8,7,0,1
60
+ 6261,1979,Graduation,Married,58025.0,0,1,11/26/2013,81,270,31,88,11,48,22,3,3,2,10,4,0,0
61
+ 8079,1982,Graduation,Married,22448.0,1,0,2/26/2014,86,3,1,8,23,2,18,3,2,1,3,3,0,0
62
+ 1631,1965,PhD,Together,65220.0,0,0,3/9/2012,3,890,63,292,0,25,12,4,8,4,7,6,0,1
63
+ 10314,1948,PhD,Married,83837.0,0,0,12/16/2012,79,847,66,119,86,89,111,1,9,10,5,4,0,1
64
+ 7281,1959,PhD,Single,,0,0,5/11/2013,80,81,11,50,3,2,39,1,1,3,4,2,0,0
65
+ 322,1978,Graduation,Together,42554.0,1,1,12/1/2013,93,29,1,11,0,0,0,2,2,0,3,4,0,0
66
+ 5896,1987,Master,Married,73395.0,0,0,3/18/2014,94,272,7,80,20,7,11,1,4,4,6,2,0,0
67
+ 10232,1963,PhD,Divorced,48799.0,0,1,5/11/2013,9,174,18,81,28,6,24,3,3,2,7,3,0,0
68
+ 938,1981,Graduation,Married,40211.0,1,1,7/30/2013,30,51,1,7,2,1,25,2,2,1,2,8,0,0
69
+ 7960,1962,2n Cycle,Together,82122.0,0,0,8/15/2013,89,734,22,350,151,25,100,1,3,9,13,1,0,0
70
+ 10995,1988,2n Cycle,Married,15716.0,1,0,12/11/2012,8,16,5,30,8,7,26,3,3,0,4,8,1,0
71
+ 5138,1950,Graduation,Together,28320.0,0,1,1/14/2013,68,19,1,14,3,2,4,1,1,0,3,8,0,0
72
+ 8629,1956,Graduation,Widow,46984.0,1,1,3/26/2013,71,19,1,10,2,1,8,1,1,0,3,5,0,0
73
+ 10640,1974,Graduation,Together,44392.0,1,1,5/9/2013,71,87,5,71,7,12,29,5,4,1,4,7,0,0
74
+ 9733,1978,Basic,Together,24882.0,1,0,9/9/2012,52,1,4,10,29,0,36,1,1,1,2,6,0,0
75
+ 5545,1972,PhD,Married,78075.0,0,0,5/4/2014,72,572,8,259,34,35,80,1,3,5,5,1,0,0
76
+ 6637,1988,Graduation,Single,66951.0,0,0,2/11/2013,46,277,162,305,173,76,124,1,3,4,7,1,0,0
77
+ 7342,1961,2n Cycle,Widow,59184.0,0,1,9/9/2012,6,341,142,113,259,151,66,3,6,6,12,5,0,0
78
+ 905,1986,Graduation,Divorced,21846.0,1,0,10/22/2013,38,7,17,18,6,10,26,4,4,0,3,8,0,0
79
+ 9120,1962,Graduation,Single,66565.0,0,1,5/12/2012,80,747,10,161,65,40,42,4,4,2,9,8,0,0
80
+ 3434,1951,Graduation,Single,80872.0,0,0,12/5/2014,60,483,72,567,94,12,108,1,4,4,10,1,0,0
81
+ 2878,1947,PhD,Married,67472.0,0,1,9/28/2013,93,162,31,127,8,17,69,2,4,2,7,3,0,0
82
+ 7254,1969,Graduation,Together,38361.0,1,0,12/27/2013,74,39,0,56,20,8,14,3,3,1,3,7,0,0
83
+ 839,1975,PhD,Married,45503.0,1,0,9/25/2013,54,97,4,44,6,1,18,1,3,1,4,5,0,0
84
+ 9286,1960,Master,Together,83151.0,0,0,10/10/2012,93,407,28,100,120,74,18,1,5,9,4,3,0,0
85
+ 4609,1966,PhD,Married,57705.0,0,1,11/1/2014,14,383,0,53,6,4,40,3,8,1,6,6,0,0
86
+ 3559,1988,2n Cycle,Married,16248.0,1,0,10/5/2014,77,12,11,10,3,12,9,3,2,1,3,6,0,0
87
+ 2798,1977,PhD,Together,102160.0,0,0,2/11/2012,54,763,29,138,76,176,58,0,7,9,10,4,0,1
88
+ 6422,1954,Graduation,Married,86718.0,0,0,1/17/2013,20,344,189,482,50,33,172,1,5,6,5,2,0,0
89
+ 486,1988,Graduation,Married,84219.0,0,0,2/2/2014,27,434,137,400,45,137,45,1,3,4,10,1,0,0
90
+ 6263,1968,Graduation,Together,35322.0,1,2,8/22/2012,34,28,9,37,12,7,13,3,2,0,4,8,0,0
91
+ 3262,1958,Graduation,Single,68281.0,0,0,7/8/2012,31,995,112,417,42,48,41,1,2,9,13,5,0,1
92
+ 9204,1970,Graduation,Widow,66731.0,0,1,12/9/2012,33,371,159,194,58,106,141,4,4,3,6,3,0,0
93
+ 6721,1951,Graduation,Married,71965.0,0,1,7/29/2013,21,572,19,286,50,38,248,3,6,3,5,3,0,0
94
+ 7378,1981,Master,Together,42021.0,1,0,8/31/2012,34,393,5,136,7,5,27,5,10,1,6,9,0,0
95
+ 9973,1963,Graduation,Married,50437.0,0,2,10/17/2012,28,370,9,92,6,9,4,3,7,1,8,7,0,0
96
+ 1135,1960,Master,Together,17144.0,1,1,2/15/2014,96,18,2,19,0,2,6,5,3,0,4,7,0,0
97
+ 7386,1976,Graduation,Divorced,30992.0,1,0,4/22/2013,83,17,0,14,7,3,2,1,1,0,3,7,0,0
98
+ 10156,1975,Graduation,Single,84196.0,0,1,3/6/2013,56,215,63,507,231,31,190,1,8,4,7,3,0,0
99
+ 2371,1972,Graduation,Married,33622.0,1,1,4/13/2013,22,39,1,22,3,4,12,3,2,0,4,7,0,0
100
+ 10839,1976,Graduation,Together,36283.0,1,1,4/14/2014,42,6,5,5,8,0,5,2,1,0,3,4,0,0
101
+ 8619,1957,Graduation,Together,21994.0,0,1,12/24/2012,4,9,0,6,3,1,3,1,0,0,3,5,0,0
102
+ 3099,1970,Graduation,Divorced,44267.0,1,1,2/25/2013,48,183,5,65,3,5,49,5,5,2,4,9,0,0
103
+ 9213,1970,Graduation,Widow,31880.0,1,0,10/31/2012,13,4,1,5,2,0,3,1,1,0,2,8,0,0
104
+ 7093,1985,Graduation,Married,19986.0,1,0,11/14/2013,74,3,6,5,0,2,6,1,0,0,3,7,0,0
105
+ 1715,1978,Graduation,Together,25851.0,1,0,11/2/2013,45,9,4,18,7,5,5,2,2,0,3,7,0,0
106
+ 9491,1984,Graduation,Together,23976.0,1,0,12/27/2013,68,14,1,21,2,3,25,3,3,1,3,7,0,0
107
+ 11092,1961,Graduation,Married,27116.0,1,1,2/3/2014,78,12,1,21,2,2,3,2,2,0,3,7,0,0
108
+ 7628,1973,2n Cycle,Married,43050.0,1,0,3/18/2014,10,30,5,24,6,3,8,2,2,0,4,5,0,0
109
+ 1964,1951,Graduation,Together,86610.0,0,0,5/9/2013,66,446,107,768,33,196,53,1,5,6,6,2,0,0
110
+ 202,1948,PhD,Widow,82032.0,0,0,5/4/2014,54,332,194,377,149,125,57,0,4,6,7,1,0,0
111
+ 9283,1978,Graduation,Single,60199.0,1,2,12/9/2013,49,8,1,7,2,0,0,1,0,0,3,4,0,0
112
+ 1177,1966,Master,Together,49618.0,1,1,1/26/2013,77,80,3,26,4,2,14,4,3,1,3,7,0,0
113
+ 1127,1973,PhD,Married,85844.0,0,0,5/29/2014,62,938,19,843,25,95,38,1,6,6,7,2,0,0
114
+ 916,1972,PhD,Single,41644.0,1,1,9/5/2014,67,20,3,4,2,0,2,2,1,0,3,3,0,0
115
+ 5107,1973,PhD,Divorced,35860.0,1,1,5/19/2014,37,15,0,8,4,2,20,2,1,1,2,5,0,0
116
+ 4992,1975,Master,Together,17459.0,1,0,9/19/2013,12,6,4,16,3,10,30,3,3,1,2,7,0,1
117
+ 1020,1973,Graduation,Married,79593.0,0,0,12/5/2014,70,350,60,568,110,133,145,1,5,6,7,2,0,0
118
+ 6616,1975,Graduation,Together,59481.0,0,1,10/23/2013,47,178,3,85,71,66,58,2,3,3,8,2,0,0
119
+ 6528,1982,Master,Together,18492.0,1,0,5/6/2014,75,2,2,2,2,1,1,1,1,0,2,8,0,0
120
+ 9710,1969,PhD,Divorced,58086.0,0,1,1/20/2013,80,708,7,62,0,0,15,2,11,3,7,8,0,0
121
+ 2625,1954,2n Cycle,Single,42607.0,0,1,11/17/2013,30,156,29,56,30,32,47,2,3,2,7,3,0,0
122
+ 164,1977,PhD,Married,28973.0,0,0,10/13/2012,59,206,0,46,3,2,12,2,5,1,5,8,0,0
123
+ 9516,1971,2n Cycle,Divorced,49118.0,0,0,8/18/2012,90,620,54,239,99,98,119,2,9,7,10,7,0,1
124
+ 7631,1978,Master,Together,61346.0,1,0,6/10/2013,34,562,58,168,43,16,142,1,5,7,10,3,0,0
125
+ 2831,1976,Graduation,Together,78416.0,0,1,6/27/2014,99,453,38,279,188,38,183,2,7,7,10,3,0,0
126
+ 6357,1959,2n Cycle,Divorced,59052.0,0,1,11/17/2013,29,230,35,75,63,57,31,3,7,1,7,5,0,0
127
+ 9291,1959,Master,Married,34242.0,0,1,3/23/2014,25,8,2,4,0,0,1,1,0,0,3,5,0,0
128
+ 6424,1977,Graduation,Together,33178.0,1,0,1/30/2014,9,12,6,2,11,2,16,1,1,0,3,4,0,0
129
+ 6798,1966,Graduation,Single,37070.0,1,1,3/20/2013,30,231,7,137,4,15,39,9,5,1,8,7,0,1
130
+ 2612,1987,Graduation,Married,75794.0,0,0,12/24/2013,33,754,160,625,63,32,48,1,7,5,12,3,0,0
131
+ 564,1981,PhD,Together,56937.0,1,0,4/8/2012,81,746,8,125,11,8,8,7,8,6,9,6,0,1
132
+ 4391,1968,Master,Divorced,63841.0,0,1,4/21/2013,64,635,15,100,20,7,131,1,9,3,9,6,0,0
133
+ 8560,1992,Graduation,Single,48789.0,0,0,10/9/2012,94,351,16,156,7,5,145,1,6,4,7,6,0,0
134
+ 1409,1951,Graduation,Together,40689.0,0,1,3/18/2013,69,270,3,27,39,6,99,7,7,1,5,8,0,0
135
+ 10708,1978,2n Cycle,Single,36975.0,1,0,12/28/2013,50,10,6,11,0,4,2,1,1,0,3,7,0,0
136
+ 6376,1979,Graduation,Single,57537.0,1,0,10/6/2013,83,191,56,139,51,8,100,4,4,3,8,4,0,0
137
+ 1876,1990,Graduation,Married,18929.0,0,0,2/16/2013,15,32,0,8,23,4,18,1,1,0,4,6,0,0
138
+ 3389,1970,Graduation,Married,69016.0,0,1,11/22/2012,61,726,53,363,123,107,161,4,8,9,13,5,0,0
139
+ 6507,1980,Graduation,Single,30828.0,1,0,4/10/2013,16,16,11,15,2,0,12,2,1,1,4,3,0,0
140
+ 5519,1956,Graduation,Together,64090.0,0,1,7/8/2013,8,316,58,161,76,51,135,1,6,9,4,5,0,1
141
+ 5684,1971,Master,Divorced,44635.0,1,1,11/10/2013,25,56,0,9,0,0,3,2,2,0,3,7,0,0
142
+ 1650,1960,Master,Married,81843.0,0,0,4/22/2013,13,779,86,537,34,69,138,1,5,9,12,3,0,0
143
+ 7366,1982,Master,Single,75777.0,0,0,4/7/2013,12,712,26,538,69,13,80,1,3,6,11,1,0,1
144
+ 11004,1893,2n Cycle,Single,60182.0,0,1,5/17/2014,23,8,0,5,7,0,2,1,1,0,2,4,0,0
145
+ 5474,1970,Graduation,Single,43020.0,1,0,11/30/2013,79,45,7,99,4,25,43,3,4,1,4,6,0,0
146
+ 1630,1979,Graduation,Single,61825.0,0,1,7/8/2013,56,162,50,100,55,30,27,1,4,2,8,4,0,0
147
+ 7053,1966,PhD,Single,78420.0,0,0,6/29/2013,75,604,28,674,91,28,28,1,3,10,8,1,0,0
148
+ 7872,1975,PhD,Married,86836.0,0,0,12/9/2012,7,179,21,273,0,21,63,1,6,10,6,5,0,1
149
+ 5125,1960,Graduation,Married,79530.0,0,0,5/17/2013,64,333,0,815,129,42,29,1,4,10,11,2,0,0
150
+ 610,1953,PhD,Together,53593.0,1,1,7/8/2012,60,349,4,78,6,0,43,8,7,2,6,8,0,0
151
+ 7723,1979,Graduation,Together,75507.0,0,0,2/5/2014,56,709,93,374,104,80,80,1,8,6,6,3,0,0
152
+ 1726,1970,Graduation,Single,22585.0,0,0,3/18/2013,23,3,9,15,13,2,39,1,1,1,2,9,0,1
153
+ 10307,1956,Graduation,Married,50387.0,0,2,8/31/2013,91,369,9,87,12,14,34,3,6,2,8,5,0,0
154
+ 460,1972,PhD,Married,79930.0,0,0,8/8/2012,72,792,86,740,67,51,17,1,3,5,8,2,0,0
155
+ 713,1977,Master,Married,50353.0,0,0,8/6/2014,72,141,15,153,67,31,35,1,4,4,6,3,0,0
156
+ 6457,1976,Graduation,Divorced,64892.0,0,1,5/29/2014,77,527,24,230,32,24,65,2,6,4,12,4,0,0
157
+ 4023,1970,Graduation,Married,22979.0,1,0,6/9/2012,29,16,17,19,20,21,22,3,3,2,2,8,0,1
158
+ 7646,1989,Graduation,Single,64449.0,1,0,2/18/2014,70,218,63,282,137,35,70,4,5,3,12,4,0,0
159
+ 5011,1963,Graduation,Divorced,68118.0,0,1,10/18/2013,51,595,23,123,10,23,154,2,8,9,4,6,0,0
160
+ 2061,1955,Graduation,Married,50737.0,0,1,11/5/2013,61,78,0,11,0,0,10,1,2,0,4,6,0,0
161
+ 2429,1954,Graduation,Divorced,72071.0,0,1,2/14/2013,4,531,69,300,150,138,150,3,5,4,8,2,0,0
162
+ 4137,1948,Graduation,Together,70666.0,0,0,6/12/2013,29,398,40,367,119,122,30,1,7,4,4,4,0,0
163
+ 7787,1960,Graduation,Together,62807.0,0,1,8/31/2012,83,526,28,135,10,21,99,3,5,3,12,5,0,0
164
+ 5263,1977,2n Cycle,Married,31056.0,1,0,1/22/2013,99,5,10,13,3,8,16,1,1,0,3,8,0,0
165
+ 10742,1983,PhD,Married,86580.0,0,0,2/27/2013,72,532,21,127,26,20,20,0,4,2,5,1,0,0
166
+ 3830,1953,Master,Married,59354.0,0,2,4/24/2014,59,295,21,78,39,13,13,1,4,4,7,3,0,0
167
+ 3535,1965,Graduation,Single,66294.0,0,0,3/17/2014,68,251,108,334,65,92,117,1,4,3,5,2,0,0
168
+ 10176,1968,Graduation,Single,57107.0,0,1,8/24/2012,44,159,0,120,0,0,137,7,4,4,8,8,0,1
169
+ 9923,1972,Master,Single,46423.0,1,1,9/18/2013,6,68,0,16,0,0,8,3,2,0,4,7,0,0
170
+ 10061,1950,Graduation,Married,59462.0,0,1,5/1/2013,29,724,17,143,0,8,196,2,9,2,12,7,0,0
171
+ 5176,1988,Graduation,Together,29604.0,1,0,8/12/2013,88,7,6,13,7,6,14,1,1,0,3,9,0,0
172
+ 6935,1951,2n Cycle,Married,78497.0,0,0,1/12/2013,44,207,26,447,75,0,223,1,5,7,12,2,0,0
173
+ 7034,1978,2n Cycle,Married,25804.0,1,0,1/9/2013,34,8,7,9,13,6,12,2,2,0,3,8,0,0
174
+ 4055,1992,Basic,Single,18746.0,1,0,5/29/2014,41,2,10,11,12,9,20,2,3,0,3,6,0,0
175
+ 3056,1978,Graduation,Divorced,63693.0,0,1,10/14/2013,63,587,43,337,42,87,54,3,11,6,9,6,0,0
176
+ 4480,1973,Master,Married,60432.0,0,1,9/3/2014,61,365,3,15,4,3,11,5,7,2,5,6,0,0
177
+ 6958,1977,Master,Married,27889.0,1,0,5/7/2013,42,14,0,4,0,0,8,1,1,1,2,6,0,0
178
+ 8504,1973,Graduation,Married,79593.0,0,0,12/5/2014,70,350,60,568,110,133,145,1,5,6,7,2,0,0
179
+ 3933,1980,Graduation,Together,44010.0,1,0,10/13/2012,46,186,36,234,86,72,48,6,10,2,6,9,0,0
180
+ 8442,1985,Master,Married,19510.0,2,0,4/9/2013,63,9,0,7,3,4,7,2,1,0,3,7,0,0
181
+ 1232,1982,PhD,Together,70038.0,0,0,10/25/2013,54,587,54,348,71,54,130,1,4,4,8,2,0,0
182
+ 5524,1957,Graduation,Single,58138.0,0,0,4/9/2012,58,635,88,546,172,88,88,3,8,10,4,7,0,1
183
+ 6257,1976,Master,Single,60482.0,0,1,1/23/2013,81,255,43,134,37,14,24,1,7,2,7,7,0,0
184
+ 2552,1955,PhD,Single,55521.0,1,2,10/22/2013,11,416,0,26,0,0,4,9,6,3,6,7,0,1
185
+ 8146,1976,Master,Together,46106.0,1,1,11/5/2014,84,30,0,8,2,0,14,1,1,1,2,6,0,0
186
+ 868,1966,Graduation,Married,44794.0,0,1,8/6/2014,99,54,0,7,0,0,4,1,2,0,3,6,0,0
187
+ 2891,1963,Graduation,Divorced,68118.0,0,1,10/18/2013,51,595,23,123,10,23,154,2,8,9,4,6,0,0
188
+ 10022,1973,PhD,Single,54466.0,1,1,9/2/2014,78,12,0,4,0,0,0,1,1,0,2,5,0,0
189
+ 762,1981,2n Cycle,Together,75774.0,1,0,2/5/2014,27,340,21,134,258,14,56,1,7,5,8,4,0,0
190
+ 8534,1952,Graduation,Married,67433.0,0,2,7/16/2013,51,615,28,259,12,48,30,4,6,5,13,4,0,0
191
+ 6815,1980,2n Cycle,Married,96547.0,0,0,5/23/2014,4,448,21,125,52,101,62,0,7,6,8,2,0,1
192
+ 4252,1965,Graduation,Married,44375.0,0,1,3/23/2014,73,213,5,28,7,7,41,1,4,1,6,5,0,0
193
+ 7494,1950,PhD,Divorced,42873.0,1,1,1/21/2013,11,209,0,40,3,2,15,4,6,1,4,8,0,0
194
+ 10623,1961,Master,Together,48330.0,0,1,11/15/2013,2,28,0,4,0,0,0,1,1,0,3,5,0,0
195
+ 10469,1981,Graduation,Together,88325.0,0,0,5/2/2014,42,519,71,860,93,27,53,1,6,2,9,2,0,0
196
+ 1012,1952,Graduation,Single,61823.0,0,1,2/18/2013,26,523,7,134,37,14,169,4,8,2,10,7,0,0
197
+ 3281,1960,PhD,Married,49154.0,1,1,3/11/2013,69,206,10,67,30,27,71,6,4,1,8,6,0,0
198
+ 113,1951,Graduation,Married,30833.0,1,1,7/16/2013,33,11,0,7,3,1,6,2,1,0,3,5,0,0
199
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205
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206
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207
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208
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209
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210
+ 3635,1962,PhD,Single,52597.0,0,1,7/5/2014,69,492,0,37,7,0,42,3,6,3,8,5,0,0
211
+ 7192,1955,Graduation,Together,65748.0,0,1,4/15/2013,58,172,73,93,95,78,34,2,2,4,10,1,1,0
212
+ 10913,1984,Master,Single,31385.0,1,0,5/12/2012,56,3,2,12,0,1,9,1,1,0,2,8,0,1
213
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214
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215
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216
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217
+ 7828,1981,Master,Together,77882.0,0,0,4/30/2014,29,68,129,396,188,22,15,1,3,3,5,1,0,0
218
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219
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220
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221
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222
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223
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224
+ 4102,1975,2n Cycle,Married,37284.0,1,1,3/29/2013,46,11,1,2,2,1,6,1,0,0,3,6,0,0
225
+ 9595,1961,Graduation,Together,64260.0,0,0,11/1/2013,1,539,169,816,20,0,30,1,4,5,4,3,0,1
226
+ 7301,1982,2n Cycle,Single,23616.0,1,0,11/17/2012,76,4,22,11,3,7,32,2,3,0,3,8,0,1
classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/test.jsonl ADDED
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classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/train.csv ADDED
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classification/unipredict/ahsan81-superstore-marketing-campaign-dataset/train.jsonl ADDED
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classification/unipredict/akshaydattatraykhare-diabetes-dataset/metadata.json ADDED
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+ {
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+ "task_type": "clf",
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+ "data_type": "mixed",
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+ "target_column": "Outcome",
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+ "num_labels": 2,
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+ "train_samples": 691,
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+ "test_samples": 77,
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+ "train_label_distribution": {
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+ "test_label_distribution": {
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classification/unipredict/akshaydattatraykhare-diabetes-dataset/test.csv ADDED
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classification/unipredict/akshaydattatraykhare-diabetes-dataset/test.jsonl ADDED
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1
+ {"text": "The Pregnancies is 2.0. The Glucose is 141.0. The BloodPressure is 58.0. The SkinThickness is 34.0. The Insulin is 128.0. The BMI is 25.4. The DiabetesPedigreeFunction is 0.7. The Age is 24.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The Pregnancies is 4.0. The Glucose is 111.0. The BloodPressure is 72.0. The SkinThickness is 47.0. The Insulin is 207.0. The BMI is 37.1. The DiabetesPedigreeFunction is 1.39. The Age is 56.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
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+ {"text": "The Pregnancies is 1.0. The Glucose is 97.0. The BloodPressure is 64.0. The SkinThickness is 19.0. The Insulin is 82.0. The BMI is 18.2. The DiabetesPedigreeFunction is 0.3. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The Pregnancies is 0.0. The Glucose is 180.0. The BloodPressure is 66.0. The SkinThickness is 39.0. The Insulin is 0.0. The BMI is 42.0. The DiabetesPedigreeFunction is 1.89. The Age is 25.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The Pregnancies is 1.0. The Glucose is 118.0. The BloodPressure is 58.0. The SkinThickness is 36.0. The Insulin is 94.0. The BMI is 33.3. The DiabetesPedigreeFunction is 0.26. The Age is 23.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The Pregnancies is 0.0. The Glucose is 102.0. The BloodPressure is 64.0. The SkinThickness is 46.0. The Insulin is 78.0. The BMI is 40.6. The DiabetesPedigreeFunction is 0.5. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The Pregnancies is 1.0. The Glucose is 130.0. The BloodPressure is 60.0. The SkinThickness is 23.0. The Insulin is 170.0. The BMI is 28.6. The DiabetesPedigreeFunction is 0.69. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The Pregnancies is 5.0. The Glucose is 110.0. The BloodPressure is 68.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 26.0. The DiabetesPedigreeFunction is 0.29. The Age is 30.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The Pregnancies is 0.0. The Glucose is 104.0. The BloodPressure is 76.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 18.4. The DiabetesPedigreeFunction is 0.58. The Age is 27.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The Pregnancies is 0.0. The Glucose is 84.0. The BloodPressure is 82.0. The SkinThickness is 31.0. The Insulin is 125.0. The BMI is 38.2. The DiabetesPedigreeFunction is 0.23. The Age is 23.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The Pregnancies is 1.0. The Glucose is 172.0. The BloodPressure is 68.0. The SkinThickness is 49.0. The Insulin is 579.0. The BMI is 42.4. The DiabetesPedigreeFunction is 0.7. The Age is 28.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The Pregnancies is 4.0. The Glucose is 123.0. The BloodPressure is 62.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 32.0. The DiabetesPedigreeFunction is 0.23. The Age is 35.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The Pregnancies is 9.0. The Glucose is 57.0. The BloodPressure is 80.0. The SkinThickness is 37.0. The Insulin is 0.0. The BMI is 32.8. The DiabetesPedigreeFunction is 0.1. The Age is 41.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The Pregnancies is 2.0. The Glucose is 82.0. The BloodPressure is 52.0. The SkinThickness is 22.0. The Insulin is 115.0. The BMI is 28.5. The DiabetesPedigreeFunction is 1.7. The Age is 25.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The Pregnancies is 13.0. The Glucose is 126.0. The BloodPressure is 90.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 43.4. The DiabetesPedigreeFunction is 0.58. The Age is 42.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The Pregnancies is 7.0. The Glucose is 133.0. The BloodPressure is 84.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 40.2. The DiabetesPedigreeFunction is 0.7. The Age is 37.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The Pregnancies is 4.0. The Glucose is 110.0. The BloodPressure is 66.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 31.9. The DiabetesPedigreeFunction is 0.47. The Age is 29.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The Pregnancies is 5.0. The Glucose is 78.0. The BloodPressure is 48.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 33.7. The DiabetesPedigreeFunction is 0.65. The Age is 25.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The Pregnancies is 2.0. The Glucose is 99.0. The BloodPressure is 0.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 22.2. The DiabetesPedigreeFunction is 0.11. The Age is 23.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The Pregnancies is 4.0. The Glucose is 142.0. The BloodPressure is 86.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 44.0. The DiabetesPedigreeFunction is 0.65. The Age is 22.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The Pregnancies is 4.0. The Glucose is 136.0. The BloodPressure is 70.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 31.2. The DiabetesPedigreeFunction is 1.18. The Age is 22.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The Pregnancies is 5.0. The Glucose is 136.0. The BloodPressure is 82.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 0.0. The DiabetesPedigreeFunction is 0.64. The Age is 69.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The Pregnancies is 6.0. The Glucose is 114.0. The BloodPressure is 88.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 27.8. The DiabetesPedigreeFunction is 0.25. The Age is 66.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The Pregnancies is 4.0. The Glucose is 116.0. The BloodPressure is 72.0. The SkinThickness is 12.0. The Insulin is 87.0. The BMI is 22.1. The DiabetesPedigreeFunction is 0.46. The Age is 37.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The Pregnancies is 6.0. The Glucose is 151.0. The BloodPressure is 62.0. The SkinThickness is 31.0. The Insulin is 120.0. The BMI is 35.5. The DiabetesPedigreeFunction is 0.69. The Age is 28.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The Pregnancies is 9.0. The Glucose is 184.0. The BloodPressure is 85.0. The SkinThickness is 15.0. The Insulin is 0.0. The BMI is 30.0. The DiabetesPedigreeFunction is 1.21. The Age is 49.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The Pregnancies is 8.0. The Glucose is 133.0. The BloodPressure is 72.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 32.9. The DiabetesPedigreeFunction is 0.27. The Age is 39.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The Pregnancies is 1.0. The Glucose is 100.0. The BloodPressure is 72.0. The SkinThickness is 12.0. The Insulin is 70.0. The BMI is 25.3. The DiabetesPedigreeFunction is 0.66. The Age is 28.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The Pregnancies is 4.0. The Glucose is 96.0. The BloodPressure is 56.0. The SkinThickness is 17.0. The Insulin is 49.0. The BMI is 20.8. The DiabetesPedigreeFunction is 0.34. The Age is 26.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The Pregnancies is 5.0. The Glucose is 116.0. The BloodPressure is 74.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 25.6. The DiabetesPedigreeFunction is 0.2. The Age is 30.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The Pregnancies is 0.0. The Glucose is 123.0. The BloodPressure is 88.0. The SkinThickness is 37.0. The Insulin is 0.0. The BMI is 35.2. The DiabetesPedigreeFunction is 0.2. The Age is 29.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The Pregnancies is 6.0. The Glucose is 144.0. The BloodPressure is 72.0. The SkinThickness is 27.0. The Insulin is 228.0. The BMI is 33.9. The DiabetesPedigreeFunction is 0.26. The Age is 40.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The Pregnancies is 5.0. The Glucose is 166.0. The BloodPressure is 76.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 45.7. The DiabetesPedigreeFunction is 0.34. The Age is 27.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The Pregnancies is 0.0. The Glucose is 57.0. The BloodPressure is 60.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 21.7. The DiabetesPedigreeFunction is 0.73. The Age is 67.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The Pregnancies is 3.0. The Glucose is 111.0. The BloodPressure is 56.0. The SkinThickness is 39.0. The Insulin is 0.0. The BMI is 30.1. The DiabetesPedigreeFunction is 0.56. The Age is 30.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The Pregnancies is 0.0. The Glucose is 102.0. The BloodPressure is 52.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 25.1. The DiabetesPedigreeFunction is 0.08. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The Pregnancies is 8.0. The Glucose is 112.0. The BloodPressure is 72.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 23.6. The DiabetesPedigreeFunction is 0.84. The Age is 58.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The Pregnancies is 2.0. The Glucose is 96.0. The BloodPressure is 68.0. The SkinThickness is 13.0. The Insulin is 49.0. The BMI is 21.1. The DiabetesPedigreeFunction is 0.65. The Age is 26.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The Pregnancies is 7.0. The Glucose is 137.0. The BloodPressure is 90.0. The SkinThickness is 41.0. The Insulin is 0.0. The BMI is 32.0. The DiabetesPedigreeFunction is 0.39. The Age is 39.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The Pregnancies is 1.0. The Glucose is 120.0. The BloodPressure is 80.0. The SkinThickness is 48.0. The Insulin is 200.0. The BMI is 38.9. The DiabetesPedigreeFunction is 1.16. The Age is 41.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The Pregnancies is 4.0. The Glucose is 144.0. The BloodPressure is 82.0. The SkinThickness is 32.0. The Insulin is 0.0. The BMI is 38.5. The DiabetesPedigreeFunction is 0.55. The Age is 37.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The Pregnancies is 5.0. The Glucose is 136.0. The BloodPressure is 84.0. The SkinThickness is 41.0. The Insulin is 88.0. The BMI is 35.0. The DiabetesPedigreeFunction is 0.29. The Age is 35.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The Pregnancies is 1.0. The Glucose is 181.0. The BloodPressure is 64.0. The SkinThickness is 30.0. The Insulin is 180.0. The BMI is 34.1. The DiabetesPedigreeFunction is 0.33. The Age is 38.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The Pregnancies is 0.0. The Glucose is 167.0. The BloodPressure is 0.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 32.3. The DiabetesPedigreeFunction is 0.84. The Age is 30.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The Pregnancies is 13.0. The Glucose is 158.0. The BloodPressure is 114.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 42.3. The DiabetesPedigreeFunction is 0.26. The Age is 44.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The Pregnancies is 0.0. The Glucose is 188.0. The BloodPressure is 82.0. The SkinThickness is 14.0. The Insulin is 185.0. The BMI is 32.0. The DiabetesPedigreeFunction is 0.68. The Age is 22.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The Pregnancies is 8.0. The Glucose is 125.0. The BloodPressure is 96.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 0.0. The DiabetesPedigreeFunction is 0.23. The Age is 54.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The Pregnancies is 1.0. The Glucose is 119.0. The BloodPressure is 86.0. The SkinThickness is 39.0. The Insulin is 220.0. The BMI is 45.6. The DiabetesPedigreeFunction is 0.81. The Age is 29.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The Pregnancies is 10.0. The Glucose is 101.0. The BloodPressure is 86.0. The SkinThickness is 37.0. The Insulin is 0.0. The BMI is 45.6. The DiabetesPedigreeFunction is 1.14. The Age is 38.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The Pregnancies is 5.0. The Glucose is 114.0. The BloodPressure is 74.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 24.9. The DiabetesPedigreeFunction is 0.74. The Age is 57.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The Pregnancies is 3.0. The Glucose is 115.0. The BloodPressure is 66.0. The SkinThickness is 39.0. The Insulin is 140.0. The BMI is 38.1. The DiabetesPedigreeFunction is 0.15. The Age is 28.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The Pregnancies is 1.0. The Glucose is 95.0. The BloodPressure is 66.0. The SkinThickness is 13.0. The Insulin is 38.0. The BMI is 19.6. The DiabetesPedigreeFunction is 0.33. The Age is 25.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The Pregnancies is 4.0. The Glucose is 90.0. The BloodPressure is 0.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 28.0. The DiabetesPedigreeFunction is 0.61. The Age is 31.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The Pregnancies is 2.0. The Glucose is 100.0. The BloodPressure is 64.0. The SkinThickness is 23.0. The Insulin is 0.0. The BMI is 29.7. The DiabetesPedigreeFunction is 0.37. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The Pregnancies is 0.0. The Glucose is 180.0. The BloodPressure is 78.0. The SkinThickness is 63.0. The Insulin is 14.0. The BMI is 59.4. The DiabetesPedigreeFunction is 2.42. The Age is 25.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The Pregnancies is 1.0. The Glucose is 143.0. The BloodPressure is 84.0. The SkinThickness is 23.0. The Insulin is 310.0. The BMI is 42.4. The DiabetesPedigreeFunction is 1.08. The Age is 22.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The Pregnancies is 7.0. The Glucose is 106.0. The BloodPressure is 92.0. The SkinThickness is 18.0. The Insulin is 0.0. The BMI is 22.7. The DiabetesPedigreeFunction is 0.23. The Age is 48.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The Pregnancies is 1.0. The Glucose is 151.0. The BloodPressure is 60.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 26.1. The DiabetesPedigreeFunction is 0.18. The Age is 22.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The Pregnancies is 6.0. The Glucose is 194.0. The BloodPressure is 78.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 23.5. The DiabetesPedigreeFunction is 0.13. The Age is 59.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The Pregnancies is 1.0. The Glucose is 109.0. The BloodPressure is 58.0. The SkinThickness is 18.0. The Insulin is 116.0. The BMI is 28.5. The DiabetesPedigreeFunction is 0.22. The Age is 22.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The Pregnancies is 2.0. The Glucose is 146.0. The BloodPressure is 0.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 27.5. The DiabetesPedigreeFunction is 0.24. The Age is 28.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The Pregnancies is 4.0. The Glucose is 158.0. The BloodPressure is 78.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 32.9. The DiabetesPedigreeFunction is 0.8. The Age is 31.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The Pregnancies is 7.0. The Glucose is 83.0. The BloodPressure is 78.0. The SkinThickness is 26.0. The Insulin is 71.0. The BMI is 29.3. The DiabetesPedigreeFunction is 0.77. The Age is 36.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The Pregnancies is 10.0. The Glucose is 111.0. The BloodPressure is 70.0. The SkinThickness is 27.0. The Insulin is 0.0. The BMI is 27.5. The DiabetesPedigreeFunction is 0.14. The Age is 40.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The Pregnancies is 1.0. The Glucose is 135.0. The BloodPressure is 54.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 26.7. The DiabetesPedigreeFunction is 0.69. The Age is 62.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The Pregnancies is 5.0. The Glucose is 104.0. The BloodPressure is 74.0. The SkinThickness is 0.0. The Insulin is 0.0. The BMI is 28.8. The DiabetesPedigreeFunction is 0.15. The Age is 48.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The Pregnancies is 0.0. The Glucose is 107.0. The BloodPressure is 62.0. The SkinThickness is 30.0. The Insulin is 74.0. The BMI is 36.6. The DiabetesPedigreeFunction is 0.76. The Age is 25.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The Pregnancies is 5.0. The Glucose is 109.0. The BloodPressure is 62.0. The SkinThickness is 41.0. The Insulin is 129.0. The BMI is 35.8. The DiabetesPedigreeFunction is 0.51. The Age is 25.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The Pregnancies is 0.0. The Glucose is 126.0. The BloodPressure is 86.0. The SkinThickness is 27.0. The Insulin is 120.0. The BMI is 27.4. The DiabetesPedigreeFunction is 0.52. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The Pregnancies is 0.0. The Glucose is 91.0. The BloodPressure is 68.0. The SkinThickness is 32.0. The Insulin is 210.0. The BMI is 39.9. The DiabetesPedigreeFunction is 0.38. The Age is 25.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The Pregnancies is 12.0. The Glucose is 88.0. The BloodPressure is 74.0. The SkinThickness is 40.0. The Insulin is 54.0. The BMI is 35.3. The DiabetesPedigreeFunction is 0.38. The Age is 48.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The Pregnancies is 4.0. The Glucose is 97.0. The BloodPressure is 60.0. The SkinThickness is 23.0. The Insulin is 0.0. The BMI is 28.2. The DiabetesPedigreeFunction is 0.44. The Age is 22.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The Pregnancies is 8.0. The Glucose is 176.0. The BloodPressure is 90.0. The SkinThickness is 34.0. The Insulin is 300.0. The BMI is 33.7. The DiabetesPedigreeFunction is 0.47. The Age is 58.0.", "label": "1.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The Pregnancies is 3.0. The Glucose is 99.0. The BloodPressure is 80.0. The SkinThickness is 11.0. The Insulin is 64.0. The BMI is 19.3. The DiabetesPedigreeFunction is 0.28. The Age is 30.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The Pregnancies is 1.0. The Glucose is 73.0. The BloodPressure is 50.0. The SkinThickness is 10.0. The Insulin is 0.0. The BMI is 23.0. The DiabetesPedigreeFunction is 0.25. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The Pregnancies is 5.0. The Glucose is 139.0. The BloodPressure is 64.0. The SkinThickness is 35.0. The Insulin is 140.0. The BMI is 28.6. The DiabetesPedigreeFunction is 0.41. The Age is 26.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The Pregnancies is 2.0. The Glucose is 99.0. The BloodPressure is 52.0. The SkinThickness is 15.0. The Insulin is 94.0. The BMI is 24.6. The DiabetesPedigreeFunction is 0.64. The Age is 21.0.", "label": "0.0", "dataset": "akshaydattatraykhare-diabetes-dataset", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/akshaydattatraykhare-diabetes-dataset/train.csv ADDED
@@ -0,0 +1,692 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome
2
+ 0,132,78,0,0,32.4,0.39,21,0.0
3
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+ 12,84,72,31,0,29.7,0.3,46,1.0
5
+ 4,95,60,32,0,35.4,0.28,28,0.0
6
+ 0,119,66,27,0,38.8,0.26,22,0.0
7
+ 3,171,72,33,135,33.3,0.2,24,1.0
8
+ 3,191,68,15,130,30.9,0.3,34,0.0
9
+ 1,163,72,0,0,39.0,1.22,33,1.0
10
+ 5,143,78,0,0,45.0,0.19,47,0.0
11
+ 0,101,76,0,0,35.7,0.2,26,0.0
12
+ 12,92,62,7,258,27.6,0.93,44,1.0
13
+ 6,117,96,0,0,28.7,0.16,30,0.0
14
+ 2,139,75,0,0,25.6,0.17,29,0.0
15
+ 2,129,84,0,0,28.0,0.28,27,0.0
16
+ 0,138,60,35,167,34.6,0.53,21,1.0
17
+ 1,80,74,11,60,30.0,0.53,22,0.0
18
+ 0,84,64,22,66,35.8,0.55,21,0.0
19
+ 2,81,60,22,0,27.7,0.29,25,0.0
20
+ 1,79,75,30,0,32.0,0.4,22,0.0
21
+ 7,142,60,33,190,28.8,0.69,61,0.0
22
+ 2,68,62,13,15,20.1,0.26,23,0.0
23
+ 1,106,70,28,135,34.2,0.14,22,0.0
24
+ 1,107,72,30,82,30.8,0.82,24,0.0
25
+ 1,189,60,23,846,30.1,0.4,59,1.0
26
+ 0,181,88,44,510,43.3,0.22,26,1.0
27
+ 1,103,30,38,83,43.3,0.18,33,0.0
28
+ 1,77,56,30,56,33.3,1.25,24,0.0
29
+ 6,96,0,0,0,23.7,0.19,28,0.0
30
+ 7,105,0,0,0,0.0,0.3,24,0.0
31
+ 1,71,62,0,0,21.8,0.42,26,0.0
32
+ 6,165,68,26,168,33.6,0.63,49,0.0
33
+ 1,95,82,25,180,35.0,0.23,43,1.0
34
+ 1,125,70,24,110,24.3,0.22,25,0.0
35
+ 1,157,72,21,168,25.6,0.12,24,0.0
36
+ 9,89,62,0,0,22.5,0.14,33,0.0
37
+ 15,136,70,32,110,37.1,0.15,43,1.0
38
+ 4,95,64,0,0,32.0,0.16,31,1.0
39
+ 2,94,68,18,76,26.0,0.56,21,0.0
40
+ 0,137,70,38,0,33.2,0.17,22,0.0
41
+ 1,95,60,18,58,23.9,0.26,22,0.0
42
+ 8,181,68,36,495,30.1,0.61,60,1.0
43
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623
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631
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
+ 5,155,84,44,545,38.7,0.62,34,0.0
672
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673
+ 5,97,76,27,0,35.6,0.38,52,1.0
674
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675
+ 2,175,88,0,0,22.9,0.33,22,0.0
676
+ 3,130,64,0,0,23.1,0.31,22,0.0
677
+ 9,91,68,0,0,24.2,0.2,58,0.0
678
+ 3,158,64,13,387,31.2,0.29,24,0.0
679
+ 1,82,64,13,95,21.2,0.41,23,0.0
680
+ 0,119,64,18,92,34.9,0.72,23,0.0
681
+ 6,125,76,0,0,33.8,0.12,54,1.0
682
+ 1,90,62,18,59,25.1,1.27,25,0.0
683
+ 8,91,82,0,0,35.6,0.59,68,0.0
684
+ 1,181,78,42,293,40.0,1.26,22,1.0
685
+ 2,74,0,0,0,0.0,0.1,22,0.0
686
+ 3,108,62,24,0,26.0,0.22,25,0.0
687
+ 4,112,78,40,0,39.4,0.24,38,0.0
688
+ 3,163,70,18,105,31.6,0.27,28,1.0
689
+ 0,113,76,0,0,33.3,0.28,23,1.0
690
+ 1,117,88,24,145,34.5,0.4,40,1.0
691
+ 3,113,50,10,85,29.5,0.63,25,0.0
692
+ 12,140,85,33,0,37.4,0.24,41,0.0
classification/unipredict/akshaydattatraykhare-diabetes-dataset/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/alexisbcook-pakistan-intellectual-capital/metadata.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "alexisbcook-pakistan-intellectual-capital",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Department",
8
+ "label_values": [
9
+ "Computing",
10
+ "Computer Science and IT",
11
+ "Software Engineering",
12
+ "Computer Science and Engineering",
13
+ "Computer Engineering",
14
+ "Computer Sciences",
15
+ "Computer and Information Sciences",
16
+ "Institute of Mathematics & Computer Science",
17
+ "Computer Science & IT",
18
+ "Computing & Information Sciences",
19
+ "FACULTY OF COMPUTING & ENGINEERING",
20
+ "Computer Science and Software Engineering",
21
+ "Computer Science",
22
+ "ENGINEERING, SCIENCE & TECHNOLOGY",
23
+ "CS & IT",
24
+ "School of Information and Technology",
25
+ "Information Technology"
26
+ ],
27
+ "num_labels": 17,
28
+ "train_samples": 1017,
29
+ "test_samples": 125,
30
+ "train_label_distribution": {
31
+ "Computer Science": 669,
32
+ "Information Technology": 55,
33
+ "Computer Science and IT": 3,
34
+ "Computing & Information Sciences": 34,
35
+ "Computing": 38,
36
+ "ENGINEERING, SCIENCE & TECHNOLOGY": 6,
37
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38
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39
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40
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41
+ "FACULTY OF COMPUTING & ENGINEERING": 19,
42
+ "Computer Science and Software Engineering": 18,
43
+ "Computer and Information Sciences": 17,
44
+ "Computer Science and Engineering": 5,
45
+ "CS & IT": 12,
46
+ "Software Engineering": 1,
47
+ "Computer Sciences": 1
48
+ },
49
+ "test_label_distribution": {
50
+ "Information Technology": 7,
51
+ "Computing & Information Sciences": 4,
52
+ "ENGINEERING, SCIENCE & TECHNOLOGY": 1,
53
+ "Computer Science": 75,
54
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55
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56
+ "Computer Science & IT": 5,
57
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58
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59
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60
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61
+ "FACULTY OF COMPUTING & ENGINEERING": 3,
62
+ "Computer and Information Sciences": 2,
63
+ "Institute of Mathematics & Computer Science": 3,
64
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65
+ "Computer Science and IT": 1,
66
+ "Computer Sciences": 1
67
+ }
68
+ }
classification/unipredict/alexisbcook-pakistan-intellectual-capital/test.csv ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Unnamed: 0,S#,Teacher Name,University Currently Teaching,Province University Located,Designation,Terminal Degree,Graduated from,Country,Year,Area of Specialization/Research Interests,Other Information,Department
2
+ 938,939,Kashif Murtaza,Punjab University College of Information and Technology,Punjab,Lecturer,PhD,Lahore University of Management Sciences,Pakistan,,"Computer Vision, Pattern Recognition and Machine Learning, Multiple View Geometry, Convex Optimization",,Information Technology
3
+ 1522,1523,Mohammad Ayub Latif,PAF-Karachi Institute of Economics and Technology,Sindh,Faculty Member,MS,PAF-Karachi Institute of Economics and Technology,Pakistan,,"Software Engineering
4
+ Use of software metrics for improving software processes
5
+ Social network analysis",PhD in progress from PAK-KIEFT,Computing & Information Sciences
6
+ 1369,1370,Kamran Khowaja,ISRA University,Sindh,Assistant Professor,PhD,University of Malaya,Malaysia,,,,"ENGINEERING, SCIENCE & TECHNOLOGY"
7
+ 1302,1303,Mr. Badar Sami,University of Karachi,Sindh,Assistant Professor,MCS,University of Karachi,Pakistan,,"Languages, Software Development, Information Mgmt & Operating Systems ",PhD candidate,Computer Science
8
+ 795,796,Muhammad Irfan Anjum,University of Central Punjab,Punjab,Lecturer,PhD,Quaid-i-Azam University,Pakistan,,,,Computer Science
9
+ 1317,1318,Ms. Maryam Feroz,University of Karachi,Sindh,Lecturer,MS,Institute of Business Administration,Pakistan,,,,Computer Science
10
+ 1111,1112,Sohail Irshad,Minhaj University Lahore,Punjab,Lecturer,MS,Lahore Leads University,Pakistan,,,,CS & IT
11
+ 429,430,Mr Abdul Hannan,"Bahria University,Islamabad",Capital,Senior Lecturer,MS,"Bahria University,Islamabad",Pakistan,2014.0,Telecommunication and Networking,,Computer Science
12
+ 1506,1507,Rauf A. S. Malick ,DHA Suffa University,Sindh,Assistant Professor,PhD,University of Karachi,Pakistan,,"Computational Biology , Big Data Analysis , Computational Social Science ",,Computer Science
13
+ 622,623,Shafiq Hussain,University of Sahiwal,Punjab,HEC Approved PhD Supervisor,PhD,University of Sunderland,UK,,,,Computer Science
14
+ 931,932,Muddassira Arshad,Punjab University College of Information and Technology,Punjab,Lecturer,PhD,University of the Punjab,Pakistan,,"Human Computer Interaction, Software Engineering",,Information Technology
15
+ 398,399,Syed Atif Muqurrab,Air University,Capital,Lecturer,MS,FAST– National University of Computer and Emerging Sciences,Pakistan,,"Data Privacy, Artificial Intelligence, Digital Marketing, Web Development",PhD in progress from COMSATS,Computer Science
16
+ 807,808,M. Rehan Abbas,University of Central Punjab,Punjab,Senior Lecturer,MS,University of Engineering and Technology,Pakistan,2013.0,,,Computer Science
17
+ 737,738,Dr. Sumaira Sultan Minhas,Fatima Jinnah Women University,Punjab,Assistant Professor,PhD,University of Manchester,UK,2016.0,,,Software Engineering
18
+ 1340,1341,Sajjad Haider,"Institute of Business Administration, Karachi ",Sindh,Professor,PhD,George Mason University,USA,2005.0,,,Computer Science
19
+ 1610,1611,Saima Abdullah,Islamia University Bhawalpur,Punjab,Assistant Professor,PhD,University of Essex,UK,,"Wireless sensor networks. Internet of things(IoT), Scheduling patterns of sensor messages, Node failures management, QoS aware message scheduling",,Computer Science & IT
20
+ 469,470,Ms. Asma Naz,Capital University of Science and Technology,Capital,Lecturer,MS,Quaid-i-Azam University,Pakistan,2013.0,"Corpus linguistics, statistics, and the application of corpus methods in the study of speech and writing, learner language, collocations, phraseology and vocabulary. I am also interested in corpus design and corpus tools development, Experimental Phonetics and Phonology, Forensic Phonetics, Psycholinguistics, Second Language Acquisition, Implicit and Explicit L2 Knowledge, Prosody, Tone.",,Computer Science
21
+ 1550,1551,Ibraheem Hassan,PAF-Karachi Institute of Economics and Technology,Sindh,Lecturer,BS,PAF-Karachi Institute of Economics and Technology,Pakistan,,"Grid Computing
22
+ Data Mining",,Computing & Information Sciences
23
+ 517,518,Sheraz Anjum,NAML-Mianwali,Punjab,Senior Lecturer,MS,National University of Sciences and Technology,Pakistan,,,,Computer Science
24
+ 1677,1678,Nadeem Faisal,"National Textile University,Faisalabad",Punjab,Lecturer,PhD,University of Oviedo,Spain,2017.0,"E-commerce, usability testing, User interface design, User acceptance testing, User experience design, Databases, Requirement engineering & analysis, Human-computer-interaction.",,Computer Science
25
+ 1478,1479,Ms. Narmeen Zakaria Bawany (Chairperson),Jinnah University for Women,Sindh,Associate Professor,ME,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Science & IT
26
+ 793,794,Ather Suleman,University of Central Punjab,Punjab,Lecturer,MS,National University of Sciences and Technology,Pakistan,2013.0,,,Computer Science
27
+ 956,957,Saira Karim,FAST(Lahore),Punjab,Assistant Professor,PhD,FAST– National University of Computer and Emerging Sciences,Pakistan,2013.0,,,Computer Science
28
+ 1291,1292,Nausheen Shoaib,FAST(Karachi),Sindh,Lecturer,MS,Hamdard University,Pakistan,2013.0,,,Computer Science
29
+ 1912,1913,MUHAMMAD ARIF SHAH,City University,KPK,Lecturer,MS,"University of Engineering and Technology,Peshawar",Pakistan,2014.0,SOFTWARE ENGINEERING  ,,Computer Science
30
+ 1656,1657,Muhammad Kashif Hanif,Government College University Faisalabad,Punjab,Assistant Professor,PhD,Hamburg University of Technology,germany,2014.0,,,Computer Science
31
+ 1128,1129,Amna Humayun,Beaconhouse National University,Punjab,Assistant Professor,MS,FAST– National University of Computer and Emerging Sciences,Pakistan,,,,School of Information and Technology
32
+ 1018,1019,Muhammad Salman Bashir ,Virtual University,Punjab,Assistant Professor,MS,University of the Punjab,Pakistan,2004.0,Software Engineering,PhD in progress from UET,Computer Science
33
+ 1407,1408,M. NAUMAN ALI KHAN- II,Sir Syed University of Engineering and Technology,Sindh,Assistant Professor,M.E,NED University of Engineering And Technology,Pakistan,,,,Computer Engineering
34
+ 1173,1174,Khawaja Mohiuddin,Shaheed Zulfikar Ali Bhutto Institute of Science and Technology,Sindh,Assistant Professor,MS,"DePaul University, Chicago",USA,,,,Computing
35
+ 687,688,Mr. Munir Ahmad,Barani Institute of Information and Technology,Punjab,Assistant Professor,MS,Mohammad Ali Jinnah University,Pakistan,,,PhD in progress,Computer Science
36
+ 708,709,"Mr. Muhammad Zeeshan Muzaffar,",Barani Institute of Information and Technology,Punjab,Lecturer,MS,"International Islamic University,Islamabad",Pakistan,,,PhD in progress from ISRA,Computer Science
37
+ 312,313,Professor Dr. Muhammad Sher ,"International Islamic University,Islamabad",Capital,Professor,PhD,TU Berlin,germany,,Next Generation Networks and Security,,Computer Science and Software Engineering
38
+ 1225,1226,Shabab Akram,"Shaheed Benazir Bhutto University,Shaheed Benazirabad
39
+ ",Sindh,Research Associate,BS,"Quaid-e-Awam University of Engineering, Science & Technology",Pakistan,,,MS in progress from QUEST,Information Technology
40
+ 339,340,Ms. Zakia Jalil,"International Islamic University,Islamabad",Capital,Assistant Professor,MS,"International Islamic University,Islamabad",Pakistan,,,PhD in progress,Computer Science and Software Engineering
41
+ 1630,1631,Imran Faizi,University of Chakwal,Punjab,Lecturer,M.Phil,"University of Engineering and Technology,Taxila",Pakistan,,Data Mining and Network Programming,PhD in progress,Computer Science
42
+ 1923,1924,MUHAMMAD ZAKIR KHAN,City University,KPK,Lecturer,BCS,City University of Science and Technology,Pakistan,2016.0,COMPUTER SCIENCE  ,,Computer Science
43
+ 1916,1917,MUHAMMAD ABDUL TAWAB KHALIL,City University,KPK,Lecturer,MCS,"IQRA University,Karachi",Pakistan,2005.0,COMPUTER SCIENCE  ,,Computer Science
44
+ 1048,1049,Fahad Naseem ,Virtual University,Punjab,Tutor/Instructor,BS,Virtual University of Pakistan,Pakistan,2007.0,Computer Networks,,Computer Science
45
+ 1558,1559,Haji Khan Soomro,Mohammad Ali Jinnah University,Sindh,Professor,PhD,University of Dundee,UK,,,,FACULTY OF COMPUTING & ENGINEERING
46
+ 1517,1518,Maaz Bin Ahmad,PAF-Karachi Institute of Economics and Technology,Sindh,Assistant Professor,PhD,Centre for Advanced Studies in Engineering,Pakistan,,"Insider threats Detection
47
+ Risk Assessment & prevention
48
+ Efficient Video Processing Techniques
49
+ Cloud Computing",,Computing & Information Sciences
50
+ 1696,1697,Amna Yasin,NFC Institute of Engineering and Fertilizer Research,Punjab,Lecturer,MS,"COMSATS Institute of Information Technology,Islamabad",Pakistan,,,,Computer Science
51
+ 1294,1295,Shoaib Raza,FAST(Karachi),Sindh,Lecturer,BS,University of Karachi,Pakistan,2012.0,,,Computer Science
52
+ 1077,1078,Muhammad Imran Afzal ,Virtual University,Punjab,Tutor/Instructor,MS,Punjab University College of Information Technology,Pakistan,2015.0,Software Engineering,,Computer Science
53
+ 1575,1576,Waqar Saleem,Habib University,Sindh,Assistant Professor,PhD,Max Planck Institute for Computer Science,germany,,Digital processing and management tools for 2D and 3D shape repositories; geometric modeling; data structures; advanced programming; algorithm analysis; digital computer logic; computer architecture; linear algebra; discrete mathematics.,,Computer Science
54
+ 990,991,Tahira Naseem,Information Technology University,Punjab,Assistant Professor,PhD,Massachusetts Institute of Technology,USA,2014.0,"Natural Language Processing, Probabilistic Graphical Models, Linguistics",,Computer Science
55
+ 1593,1594,Imran Sarwar Bajwa,Islamia University Bhawalpur,Punjab,Assistant Professor,PhD,University of Birmingham,UK,,"Natural Language Processing, Automated Software Engineering, Image Processing, Machine Translation",HEC Approved Supervisor,Computer Science & IT
56
+ 392,393,Shaharyar Kamal,Air University,Capital,Assistant Professor,PhD,Kyung Hee University,SouthKorea,,"Wireless Networks and Security, 5G and Internet of Things.",,Computer Science
57
+ 242,243,Mudassar Ahmad Mughal,National University of Sciences and Technology,Capital,Assistant Professor,PhD,Stockholm University,Sweden,,,,Computing
58
+ 1662,1663,Tahir Abdullah,Government College University Faisalabad,Punjab,Lecturer,MS,University of the Punjab,Pakistan,,,,Computer Science
59
+ 491,492,Kamran Safdar,Pakistan Institute of Engineering and Applied Sciences,Capital,,PhD,Universität Salzburg,Austria,,"Computational geometry, in particular, straight skeletons and Voronoi diagrams; general-purpose computing on graphics processing units (GPGPU); computer graphics and geometric modeling; algorithms and mathematical proofs; parallel and high-performance computing",,Computer and Information Sciences
60
+ 431,432,Ms.Momina Moetesum,"Bahria University,Islamabad",Capital,Senior Lecturer,MS,"Bahria University,Islamabad",Pakistan,2011.0,Image Analysis and Pattern Classification,PhD in progress from Bahria University,Computer Science
61
+ 1712,1713,Shehla Ali,"Riphah University,Faisalabad",Punjab,Lecturer,MS,"University of Agriculture, Faisalabad",Pakistan,,,,Computer Science
62
+ 1450,1451,RUKAIYA JAVAID,Sir Syed University of Engineering and Technology,Sindh,Lecturer,MS,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Engineering
63
+ 1101,1102,Dr Muhammad Shoaib Farooq,University of Management and Technology,Punjab,Associate Professor,PhD,"Abdul Wali Khan University, Mardan",Pakistan,,,,Computer Science
64
+ 456,457,Dr. Muhammad Azhar Iqbal,Capital University of Science and Technology,Capital,Assistant Professor,PhD,"Huazhong University of Science and Technology (HUST), Wuhan",China,2012.0,"Wireless Ad Hoc Networks, development and evaluation of Network Coding Aware and Network Coding Based routing protocols suitable to highly dynamic and delay tolerant networks",,Computer Science
65
+ 1320,1321,Sh. Muhammad Wahabuddin Usmani.,"NED,UET",Sindh,Associate Professor,PhD,NED University of Engineering And Technology,Pakistan,,Software Development Methodologies.,,Computer Science
66
+ 406,407,Dr. Imran Ahmed Siddqui,"Bahria University,Islamabad",Capital,Senior Assistant Professor,PhD,Paris Descartes University,France,2009.0,,,Computer Science
67
+ 117,118,M. Masoom Alam,"COMSATS, Islamabad Campus",Capital,Associate Professor,Phd,University of Innsbruck,Austria,2007.0,system administration and research and development,,Computer Science
68
+ 1058,1059,Sohail Aamir ,Virtual University,Punjab,Tutor/Instructor,M.Sc,"University of the Punjab,Gujranwala",Pakistan,,Computer networks,,Computer Science
69
+ 1561,1562,Asmat Ara,Mohammad Ali Jinnah University,Sindh,Assistant Professor,PhD,University of Karachi,Pakistan,,,,FACULTY OF COMPUTING & ENGINEERING
70
+ 803,804,Sumaira Sharif,University of Central Punjab,Punjab,Lecturer,PhD,FAST– National University of Computer and Emerging Sciences,Pakistan,,,,Computer Science
71
+ 314,315, Dr. Ali Daud ,"International Islamic University,Islamabad",Capital,Associate Professor,PhD,Tsinghua University,China,2010.0,"Text Mining,Information Retrieval, Information Extraction, Social Network Analysis, Machine Learning, Graphical Models, Topic Models",,Computer Science and Software Engineering
72
+ 1576,1577,Shah Jamal Alam,Habib University,Sindh,Assistant Professor/Director,PhD,Manchester Metropolitan University,UK,,"Social network analysis,Land use change,Climate change adaptation,Infectious disease transmission,Social anthropology",,Computer Science
73
+ 1088,1089,Amjad Hussain Zahid,University of Management and Technology,Punjab,Assistant Professor,MS,Government College University,Pakistan,,,,Computer Science
74
+ 138,139,Zara Hamid,"COMSATS, Islamabad Campus",Capital,Assistant Professor,PhD,National University of Sciences and Technology,Pakistan,,Wireless Sensor Networks. She is interested in the design and performance evaluation of communication protocols for wireless ad hoc and sensor networks. She is also interested in Information Centric Networks.,,Computer Science
75
+ 1242,1243,MALLAH MUHAMMAD RAFIQUE,University of Sindh,Sindh,Assistant Professor,MSc,Sindh University,Pakistan,,,,Institute of Mathematics & Computer Science
76
+ 2,3,Dr. Abdul Basit,University of Balochistan,Balochistan,Assistant Professor,PhD,Asian Institute of Technology,Thailand,,Software Engineering & DBMS,,Computer Science & IT
77
+ 1453,1454,SANIAH REHAN,Sir Syed University of Engineering and Technology,Sindh,Lecturer,MS,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Engineering
78
+ 818,819,Maida Khan,University of Central Punjab,Punjab,Associate Professor,BS,Punjab University College of Information Technology,Pakistan,,,M.Phil in progress,Computer Science
79
+ 1251,1252,NANGRAJ ABDUL REHMAN,University of Sindh,Sindh,Lecturer,BS,Sindh University,Pakistan,2005.0,,,Institute of Mathematics & Computer Science
80
+ 1019,1020,Muhammad Anwaar Saeed ,Virtual University,Punjab,Assistant Professor,PhD,National College of Business Administration and Economics,Pakistan,,AI based Encryption Techniques and Quantum Computing,,Computer Science
81
+ 1250,1251,FIDA HUSSAIN CHANDIO,University of Sindh,Sindh,Associate Professor,Post Doc,"International Islamic University,Islamabad",Malaysia,2015.0,computing and information systems domain.,,Institute of Mathematics & Computer Science
82
+ 802,803,Amina Mukhtar,University of Central Punjab,Punjab,Lecturer,MS,FAST– National University of Computer and Emerging Sciences,Pakistan,2010.0,,,Computer Science
83
+ 1284,1285,Behraj Khan,FAST(Karachi),Sindh,Lecturer,MS,FAST– National University of Computer and Emerging Sciences,Pakistan,2014.0,,,Computer Science
84
+ 1130,1131,Saad Saleem Malik,Beaconhouse National University,Punjab,Lecturer,MS,Beaconhouse National University,Pakistan,,Research based teaching,,School of Information and Technology
85
+ 1301,1302,Dr. Nadeem Mahmood,University of Karachi,Sindh,Associate Professor,Post Doc,"International Islamic University,Islamabad",Malaysia,,"Temporal and Spatial Database Systems, Artificial Intelligence, Health Information Systems, Software Engineering ",,Computer Science
86
+ 1482,1483,Ms. Ramsha Ali,Jinnah University for Women,Sindh,Assistant Professor,MS,PAF-Karachi Institute of Economics and Technology,Pakistan,,,,Computer Science & IT
87
+ 1419,1420,KHALIQ AHMED,Sir Syed University of Engineering and Technology,Sindh,Assistant Professor,M.E,NED University of Engineering And Technology,Pakistan,,,,Computer Engineering
88
+ 1425,1426,OSAMA AHMED SIDDIQUI,Sir Syed University of Engineering and Technology,Sindh,Assistant Professor,MS,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Engineering
89
+ 493,494,Fayyaz-ul-Amir Afsar Minhas,Pakistan Institute of Engineering and Applied Sciences,Capital,,PhD,Colorado State University,USofA,,"Machine Learning (Artificial & Computational Intelligence), Digital Signal Processing, Biomedical signal analysis, Biometrics",,Computer and Information Sciences
90
+ 1418,1419,HASSAN ZAKI,Sir Syed University of Engineering and Technology,Sindh,Assistant Professor,MS,Hamdard University,Pakistan,,,,Computer Engineering
91
+ 273,274,Hasan Mujtaba Kayani,FAST-NU(Islamabad),Capital,Associate Professor,PhD,FAST– National University of Computer and Emerging Sciences,Pakistan,2010.0,"Artificial Intelligence, Computational Intelligence, Machine Learning, Data Mining & Knowledge Discovery, Evolutionary Gaming, Machine Vision & Robotics",,Computer Science
92
+ 972,973,Usman Ashraf,FAST(Lahore),Punjab,Assistant Professor,MS,Chalmers University of Technology,Sweden,2009.0,"Software Engineering in general and IT project management, agile methods (TDD, XP), and software verification and validation in particular.",,Computer Science
93
+ 25,26,Nausheed Saeed,Sardar Bahadur Khan Women's University,Balochistan,Lecturer,MCS,University of Balochistan,Pakistan,2008.0,"Software Engineering, Computer Networks.",,Computer Science
94
+ 1262,1263,Zulfiqar Ali Memon,FAST(Karachi),Sindh,Associate Professor,PhD,"Vrije University, Amsterdam",Netherland,2010.0,,,Computer Science
95
+ 432,433,Ms. Anum Ayaz,"Bahria University,Islamabad",Capital,Senior Lecturer,MS,"Bahria University,Islamabad",Pakistan,2013.0,,,Computer Science
96
+ 1726,1727,Shahid Manzoor,"Punjab University,Gujranwala Campus",Punjab,Assistant Professor,PhD,"Swedish University of Agricultural Sciences, Uppsala",Sweden,2014.0,"NGS Data (Assembly, Annotation, Metabolic Pathways Analysis), Computational Biology.",On study leave,Computer Science
97
+ 915,916,Muhammad Kamran,Punjab University College of Information and Technology,Punjab,Assistant Professor,PhD,University of the Punjab,Pakistan,,,,Information Technology
98
+ 230,231,Asad Ali Shah,National University of Sciences and Technology,Capital,Assistant Professor,PhD,University of Malaya,Malaysia,2017.0,"Question Answering, Credibility Assessment, Information Retrieval, Information Processing, Semantic Web",,Computing
99
+ 1676,1677,Sohail Jabbar,"National Textile University,Faisalabad",Punjab,Assistant Professor,PhD,"Bahria University,Islamabad",Pakistan,,Wireless Communication and Networks,,Computer Science
100
+ 387,388,Omer Ishaq Hassan,Air University,Capital,Assistant Professor,PhD,Uppsala University,Sweden,,Image analysis & Deep learning,,Computer Science
101
+ 892,893,Dr. Mehvish Irfan Poshni,Punjab University College of Information and Technology,Punjab,Assistant Professor,PhD, Columbia University,USA,2012.0,Topological graph theory,,Information Technology
102
+ 1265,1266,Jalaluddin Qureshi,FAST(Karachi),Sindh,Assistant Professor,PhD,Nanyang Tech University,Singapore,2014.0,"Error Correction Coding, Optimization Wireless Routing, Mathematical analysis of transmission networks, Evolutionary computation, Applied Machine Learning",,Computer Science
103
+ 257,258,Mr. Adeel Zafar,RIPHAH International,Capital,Lecturer,PhD,FAST– National University of Computer and Emerging Sciences,Pakistan,2018.0,,,Computing
104
+ 763,764,Ahmad Shabbar Kazmi,University of Central Punjab,Punjab,Head of Department,PhD, Boston University,USofA,1999.0,Neural Networks,,Computer Science
105
+ 1458,1459,FARAH AHMED,Sir Syed University of Engineering and Technology,Sindh,Lecturer,MSIT,"Biztek Institute Of Business & Technology,Karachi",Pakistan,,,,Computer Engineering
106
+ 1556,1557,Khaliq-ur-Rahman Raazi,Mohammad Ali Jinnah University,Sindh,Associate Professor/HoD,PhD,Kyung Hee University,South Korea,,,,FACULTY OF COMPUTING & ENGINEERING
107
+ 1118,1119,Saqlain Ahmad,Minhaj University Lahore,Punjab,Lecturer,MS,Beijing Institute of Technology Beijing,China,,,,CS & IT
108
+ 1533,1534,Adnan Ullah Khan,PAF-Karachi Institute of Economics and Technology,Sindh,Lecturer,MS,NED University of Engineering And Technology,Pakistan,,"Reports on Census of Pakistan 1951,1961,1972,1981 and 1998
109
+ Demography Analysis of Pakistan
110
+ Apply Pearson’s System of frequency Curve in different date set of PDF, PGS with complete programming in R, SAS
111
+
112
+ ?",Visiting,Computing & Information Sciences
113
+ 1980,1981,Dr. Sajid Anwar,Ghulam Ishaq Khan Institute,KPK,Assistant Professor,PhD,Seoul National University,South Korea,,"Pruning and Quantizing CNN, GPGPU,",,Computer Science and Engineering
114
+ 1697,1698,Fiaz Waheed,NFC Institute of Engineering and Fertilizer Research,Punjab,Lab Engineer,BS,University of Engineering and Technology,Pakistan,,,MS in progress,Computer Science
115
+ 1732,1733,Zeeshan Arshad,"Punjab University,Gujranwala Campus",Punjab,Lecturer,MS,"COMSATS Institute of Information Technology,Lahore",Pakistan,2014.0,,,Computer Science
116
+ 518,519,Dr.Nadeem Ahmad,University of Lahore-PakPattan,Punjab,Head of Department,PhD,Politecnico di Torino,Italy,2014.0,human machine interfaces,,Computer Science and IT
117
+ 106,107,Bilal-ur-Rehman,University of Turbat,Balochistan,Lecturer,BE,"DUET,Karachi",Pakistan,,"Computer Graphics, Digital Logic Design, Software Engineering, Operating Systems, Artificial Intelligence",,Computer Science
118
+ 894,895,Dr. Zubair Nawaz,Punjab University College of Information and Technology,Punjab,Assistant Professor,PhD, Delft University of Technology,Netherland,2011.0,"Analysis of Algorithms, Advanced Algorithms, High Performance Computing",,Information Technology
119
+ 1355,1356,Ghulam Murtaza Memon,"Institute of Business Administration,Sukkur",Sindh,Assistant Professor,MS,PAF-Karachi Institute of Economics and Technology,Pakistan,,"Data Mining, Business Intelligence, Big Data Analytics, Digital Image Processing, Digital Watermarking Security, Error Correcting Codes, Spread Spectrum",,Computer Science
120
+ 1269,1270,Abdul Aziz,FAST(Karachi),Sindh,Assistant Professor,MS,Hamdard University,Pakistan,2006.0,"Disaster Management, Information Systems, Geo Informatics, Social Informatics, Urban Planning, Image Processing",,Computer Science
121
+ 704,705,Mr. Muhammad Nauman Iqbal,Barani Institute of Information and Technology,Punjab,Lecturer,MCS,Pir Mehr Ali Shah Arid Agriculture University,Pakistan,,,MS in progress from UAAR,Computer Science
122
+ 1824,1825,Waheed ur Rehman,University of Peshawar,KPK,Assistant Professor,PhD,University of Westminster,UK,2016.0,"60-GHz networks, resource allocation in HetNets, Capacity analysis in wireless networks",,Computer Science
123
+ 889,890,Dr. Shahzad Sarwar,Punjab University College of Information and Technology,Punjab,Assistant Professor,PhD,Vienna University of Technology,Austria,2008.0,"Computer Networks, Topics in Internet Research, Optical Communications, Performance Modeling",,Information Technology
124
+ 974,975,Aatira Anum,FAST(Lahore),Punjab,Lecturer,MS,Lahore University of Management Sciences,Pakistan,2015.0,,,Computer Science
125
+ 1672,1673,Muhammad Asif Habib,"National Textile University,Faisalabad",Punjab,Assistant Professor,PhD,JKU,Austria,,"Computer Networks (Information Network Security (Access Control/Authorization), Cloud Computing Security)",HEC Approved Supervisor,Computer Science
126
+ 1436,1437,ANEETA ARSHAD,Sir Syed University of Engineering and Technology,Sindh,Lecturer,MS,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Engineering
127
+ 516,517,Noman Javed,NAML-Mianwali,Punjab,Assistant Professor,PhD,University of Orleans,France,,,,Computer Science
128
+ 1580,1581,Taj Muhammad Khan,Habib University,Sindh,Assistant Professor,PhD,INRIA Saclay Ile-de-France,France,,"Computer Architecture, Compiler Optimizations and Natural Languages",,Computer Science
129
+ 1167,1168,Khurram Raza,Shaheed Zulfikar Ali Bhutto Institute of Science and Technology,Sindh,Lecturer,MSc,Sindh University,Pakistan,,Mathematics,,Computing
130
+ 1911,1912,KASHIF BASIR,City University,KPK,Lecturer,MS,National University of Sciences and Technology,Pakistan,2014.0,SOFTWARE ENGINEERING  ,,Computer Science
131
+ 1391,1392,SAQIB HUSSAIN SIDDIQUI,Sir Syed University of Engineering and Technology,Sindh,Assistant Professor,MBA,Sir Syed University of Engineering and Technology,Pakistan,,,,Computer Engineering
132
+ 1695,1696,Aden Iqbal,NFC Institute of Engineering and Fertilizer Research,Punjab,Lecturer,MS,National Textile University,Pakistan,,,,Computer Science
133
+ 276,277,Ehtesham Zahoor,FAST-NU(Islamabad),Capital,Assistant Professor,PhD,Nancy 2 University,France,2011.0,Cloud Computing and Services Composition,,Computer Science
134
+ 689,690,Mr. Muhammad Ayub,Barani Institute of Information and Technology,Punjab,Lecturer,MBA,Preston,Pakistan,,,,Computer Science
135
+ 870,871,Mr. Umair Waqas,Lahore Garrison University,Punjab,Lecturer,MS,National University of Sciences and Technology,Pakistan,,Mobile Development,,Computer Sciences
136
+ 1928,1929,Abdus Salam,Abasyn University,KPK,Professor/HoD,PhD,"International Islamic University,Islamabad",Pakistan,,,,Computer Science
137
+ 967,968,Lehmia Kiran,FAST(Lahore),Punjab,Assistant Professor,MS,FAST– National University of Computer and Emerging Sciences,Pakistan,2010.0,Software testing and Interaction design.,,Computer Science
classification/unipredict/alexisbcook-pakistan-intellectual-capital/test.jsonl ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The Unnamed: 0 is 938. The S# is 939. The Teacher Name is Kashif Murtaza. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is Lahore University of Management Sciences. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Computer Vision, Pattern Recognition and Machine Learning, Multiple View Geometry, Convex Optimization. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The Unnamed: 0 is 1522. The S# is 1523. The Teacher Name is Mohammad Ayub Latif. The University Currently Teaching is PAF-Karachi Institute of Economics and Technology. The Province University Located is Sindh. The Designation is Faculty Member. The Terminal Degree is MS. The Graduated from is PAF-Karachi Institute of Economics and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Software Engineering\nUse of software metrics for improving software processes\nSocial network analysis. The Other Information is PhD in progress from PAK-KIEFT.", "label": "Computing & Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The Unnamed: 0 is 1369. The S# is 1370. The Teacher Name is Kamran Khowaja. The University Currently Teaching is ISRA University. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Malaya. The Country is Malaysia. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "ENGINEERING, SCIENCE & TECHNOLOGY", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The Unnamed: 0 is 1302. The S# is 1303. The Teacher Name is Mr. Badar Sami. The University Currently Teaching is University of Karachi. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MCS. The Graduated from is University of Karachi. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Languages, Software Development, Information Mgmt & Operating Systems. The Other Information is PhD candidate.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The Unnamed: 0 is 795. The S# is 796. The Teacher Name is Muhammad Irfan Anjum. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is Quaid-i-Azam University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The Unnamed: 0 is 1317. The S# is 1318. The Teacher Name is Ms. Maryam Feroz. The University Currently Teaching is University of Karachi. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Institute of Business Administration. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The Unnamed: 0 is 1111. The S# is 1112. The Teacher Name is Sohail Irshad. The University Currently Teaching is Minhaj University Lahore. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Lahore Leads University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "CS & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The Unnamed: 0 is 429. The S# is 430. The Teacher Name is Mr Abdul Hannan. The University Currently Teaching is Bahria University,Islamabad. The Province University Located is Capital. The Designation is Senior Lecturer. The Terminal Degree is MS. The Graduated from is Bahria University,Islamabad. The Country is Pakistan. The Year is 2014.0. The Area of Specialization/Research Interests is Telecommunication and Networking. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The Unnamed: 0 is 1506. The S# is 1507. The Teacher Name is Rauf A. S. Malick. The University Currently Teaching is DHA Suffa University. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Karachi. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Computational Biology , Big Data Analysis , Computational Social Science. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The Unnamed: 0 is 622. The S# is 623. The Teacher Name is Shafiq Hussain. The University Currently Teaching is University of Sahiwal. The Province University Located is Punjab. The Designation is HEC Approved PhD Supervisor. The Terminal Degree is PhD. The Graduated from is University of Sunderland. The Country is UK. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The Unnamed: 0 is 931. The S# is 932. The Teacher Name is Muddassira Arshad. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is University of the Punjab. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Human Computer Interaction, Software Engineering. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The Unnamed: 0 is 398. The S# is 399. The Teacher Name is Syed Atif Muqurrab. The University Currently Teaching is Air University. The Province University Located is Capital. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Data Privacy, Artificial Intelligence, Digital Marketing, Web Development. The Other Information is PhD in progress from COMSATS.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The Unnamed: 0 is 807. The S# is 808. The Teacher Name is M. Rehan Abbas. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Senior Lecturer. The Terminal Degree is MS. The Graduated from is University of Engineering and Technology. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The Unnamed: 0 is 737. The S# is 738. The Teacher Name is Dr. Sumaira Sultan Minhas. The University Currently Teaching is Fatima Jinnah Women University. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Manchester. The Country is UK. The Year is 2016.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Software Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The Unnamed: 0 is 1340. The S# is 1341. The Teacher Name is Sajjad Haider. The University Currently Teaching is Institute of Business Administration, Karachi. The Province University Located is Sindh. The Designation is Professor. The Terminal Degree is PhD. The Graduated from is George Mason University. The Country is USA. The Year is 2005.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The Unnamed: 0 is 1610. The S# is 1611. The Teacher Name is Saima Abdullah. The University Currently Teaching is Islamia University Bhawalpur. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Essex. The Country is UK. The Year is unknown. The Area of Specialization/Research Interests is Wireless sensor networks. Internet of things(IoT), Scheduling patterns of sensor messages, Node failures management, QoS aware message scheduling. The Other Information is unknown.", "label": "Computer Science & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The Unnamed: 0 is 469. The S# is 470. The Teacher Name is Ms. Asma Naz. The University Currently Teaching is Capital University of Science and Technology. The Province University Located is Capital. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Quaid-i-Azam University. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is Corpus linguistics, statistics, and the application of corpus methods in the study of speech and writing, learner language, collocations, phraseology and vocabulary. I am also interested in corpus design and corpus tools development, Experimental Phonetics and Phonology, Forensic Phonetics, Psycholinguistics, Second Language Acquisition, Implicit and Explicit L2 Knowledge, Prosody, Tone. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The Unnamed: 0 is 1550. The S# is 1551. The Teacher Name is Ibraheem Hassan. The University Currently Teaching is PAF-Karachi Institute of Economics and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is BS. The Graduated from is PAF-Karachi Institute of Economics and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Grid Computing\nData Mining. The Other Information is unknown.", "label": "Computing & Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The Unnamed: 0 is 517. The S# is 518. The Teacher Name is Sheraz Anjum. The University Currently Teaching is NAML-Mianwali. The Province University Located is Punjab. The Designation is Senior Lecturer. The Terminal Degree is MS. The Graduated from is National University of Sciences and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The Unnamed: 0 is 1677. The S# is 1678. The Teacher Name is Nadeem Faisal. The University Currently Teaching is National Textile University,Faisalabad. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is University of Oviedo. The Country is Spain. The Year is 2017.0. The Area of Specialization/Research Interests is E-commerce, usability testing, User interface design, User acceptance testing, User experience design, Databases, Requirement engineering & analysis, Human-computer-interaction. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The Unnamed: 0 is 1478. The S# is 1479. The Teacher Name is Ms. Narmeen Zakaria Bawany (Chairperson). The University Currently Teaching is Jinnah University for Women. The Province University Located is Sindh. The Designation is Associate Professor. The Terminal Degree is ME. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The Unnamed: 0 is 793. The S# is 794. The Teacher Name is Ather Suleman. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is National University of Sciences and Technology. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The Unnamed: 0 is 956. The S# is 957. The Teacher Name is Saira Karim. The University Currently Teaching is FAST(Lahore). The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The Unnamed: 0 is 1291. The S# is 1292. The Teacher Name is Nausheen Shoaib. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Hamdard University. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The Unnamed: 0 is 1912. The S# is 1913. The Teacher Name is MUHAMMAD ARIF SHAH. The University Currently Teaching is City University. The Province University Located is KPK. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is University of Engineering and Technology,Peshawar. The Country is Pakistan. The Year is 2014.0. The Area of Specialization/Research Interests is SOFTWARE ENGINEERING. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The Unnamed: 0 is 1656. The S# is 1657. The Teacher Name is Muhammad Kashif Hanif. The University Currently Teaching is Government College University Faisalabad. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Hamburg University of Technology. The Country is germany. The Year is 2014.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The Unnamed: 0 is 1128. The S# is 1129. The Teacher Name is Amna Humayun. The University Currently Teaching is Beaconhouse National University. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "School of Information and Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The Unnamed: 0 is 1018. The S# is 1019. The Teacher Name is Muhammad Salman Bashir. The University Currently Teaching is Virtual University. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is University of the Punjab. The Country is Pakistan. The Year is 2004.0. The Area of Specialization/Research Interests is Software Engineering. The Other Information is PhD in progress from UET.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The Unnamed: 0 is 1407. The S# is 1408. The Teacher Name is M. NAUMAN ALI KHAN- II. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is M.E. The Graduated from is NED University of Engineering And Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The Unnamed: 0 is 1173. The S# is 1174. The Teacher Name is Khawaja Mohiuddin. The University Currently Teaching is Shaheed Zulfikar Ali Bhutto Institute of Science and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is DePaul University, Chicago. The Country is USA. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computing", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The Unnamed: 0 is 687. The S# is 688. The Teacher Name is Mr. Munir Ahmad. The University Currently Teaching is Barani Institute of Information and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Mohammad Ali Jinnah University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is PhD in progress.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The Unnamed: 0 is 708. The S# is 709. The Teacher Name is Mr. Muhammad Zeeshan Muzaffar,. The University Currently Teaching is Barani Institute of Information and Technology. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is International Islamic University,Islamabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is PhD in progress from ISRA.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The Unnamed: 0 is 312. The S# is 313. The Teacher Name is Professor Dr. Muhammad Sher. The University Currently Teaching is International Islamic University,Islamabad. The Province University Located is Capital. The Designation is Professor. The Terminal Degree is PhD. The Graduated from is TU Berlin. The Country is germany. The Year is unknown. The Area of Specialization/Research Interests is Next Generation Networks and Security. The Other Information is unknown.", "label": "Computer Science and Software Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The Unnamed: 0 is 1225. The S# is 1226. The Teacher Name is Shabab Akram. The University Currently Teaching is Shaheed Benazir Bhutto University,Shaheed Benazirabad. The Province University Located is Sindh. The Designation is Research Associate. The Terminal Degree is BS. The Graduated from is Quaid-e-Awam University of Engineering, Science & Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is MS in progress from QUEST.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The Unnamed: 0 is 339. The S# is 340. The Teacher Name is Ms. Zakia Jalil. The University Currently Teaching is International Islamic University,Islamabad. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is International Islamic University,Islamabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is PhD in progress.", "label": "Computer Science and Software Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The Unnamed: 0 is 1630. The S# is 1631. The Teacher Name is Imran Faizi. The University Currently Teaching is University of Chakwal. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is M.Phil. The Graduated from is University of Engineering and Technology,Taxila. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Data Mining and Network Programming. The Other Information is PhD in progress.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The Unnamed: 0 is 1923. The S# is 1924. The Teacher Name is MUHAMMAD ZAKIR KHAN. The University Currently Teaching is City University. The Province University Located is KPK. The Designation is Lecturer. The Terminal Degree is BCS. The Graduated from is City University of Science and Technology. The Country is Pakistan. The Year is 2016.0. The Area of Specialization/Research Interests is COMPUTER SCIENCE. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The Unnamed: 0 is 1916. The S# is 1917. The Teacher Name is MUHAMMAD ABDUL TAWAB KHALIL. The University Currently Teaching is City University. The Province University Located is KPK. The Designation is Lecturer. The Terminal Degree is MCS. The Graduated from is IQRA University,Karachi. The Country is Pakistan. The Year is 2005.0. The Area of Specialization/Research Interests is COMPUTER SCIENCE. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The Unnamed: 0 is 1048. The S# is 1049. The Teacher Name is Fahad Naseem. The University Currently Teaching is Virtual University. The Province University Located is Punjab. The Designation is Tutor/Instructor. The Terminal Degree is BS. The Graduated from is Virtual University of Pakistan. The Country is Pakistan. The Year is 2007.0. The Area of Specialization/Research Interests is Computer Networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The Unnamed: 0 is 1558. The S# is 1559. The Teacher Name is Haji Khan Soomro. The University Currently Teaching is Mohammad Ali Jinnah University. The Province University Located is Sindh. The Designation is Professor. The Terminal Degree is PhD. The Graduated from is University of Dundee. The Country is UK. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "FACULTY OF COMPUTING & ENGINEERING", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The Unnamed: 0 is 1517. The S# is 1518. The Teacher Name is Maaz Bin Ahmad. The University Currently Teaching is PAF-Karachi Institute of Economics and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Centre for Advanced Studies in Engineering. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Insider threats Detection\nRisk Assessment & prevention\nEfficient Video Processing Techniques\nCloud Computing. The Other Information is unknown.", "label": "Computing & Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The Unnamed: 0 is 1696. The S# is 1697. The Teacher Name is Amna Yasin. The University Currently Teaching is NFC Institute of Engineering and Fertilizer Research. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is COMSATS Institute of Information Technology,Islamabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The Unnamed: 0 is 1294. The S# is 1295. The Teacher Name is Shoaib Raza. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is BS. The Graduated from is University of Karachi. The Country is Pakistan. The Year is 2012.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The Unnamed: 0 is 1077. The S# is 1078. The Teacher Name is Muhammad Imran Afzal. The University Currently Teaching is Virtual University. The Province University Located is Punjab. The Designation is Tutor/Instructor. The Terminal Degree is MS. The Graduated from is Punjab University College of Information Technology. The Country is Pakistan. The Year is 2015.0. The Area of Specialization/Research Interests is Software Engineering. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The Unnamed: 0 is 1575. The S# is 1576. The Teacher Name is Waqar Saleem. The University Currently Teaching is Habib University. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Max Planck Institute for Computer Science. The Country is germany. The Year is unknown. The Area of Specialization/Research Interests is Digital processing and management tools for 2D and 3D shape repositories; geometric modeling; data structures; advanced programming; algorithm analysis; digital computer logic; computer architecture; linear algebra; discrete mathematics. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The Unnamed: 0 is 990. The S# is 991. The Teacher Name is Tahira Naseem. The University Currently Teaching is Information Technology University. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Massachusetts Institute of Technology. The Country is USA. The Year is 2014.0. The Area of Specialization/Research Interests is Natural Language Processing, Probabilistic Graphical Models, Linguistics. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The Unnamed: 0 is 1593. The S# is 1594. The Teacher Name is Imran Sarwar Bajwa. The University Currently Teaching is Islamia University Bhawalpur. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Birmingham. The Country is UK. The Year is unknown. The Area of Specialization/Research Interests is Natural Language Processing, Automated Software Engineering, Image Processing, Machine Translation. The Other Information is HEC Approved Supervisor.", "label": "Computer Science & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The Unnamed: 0 is 392. The S# is 393. The Teacher Name is Shaharyar Kamal. The University Currently Teaching is Air University. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Kyung Hee University. The Country is SouthKorea. The Year is unknown. The Area of Specialization/Research Interests is Wireless Networks and Security, 5G and Internet of Things. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The Unnamed: 0 is 242. The S# is 243. The Teacher Name is Mudassar Ahmad Mughal. The University Currently Teaching is National University of Sciences and Technology. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Stockholm University. The Country is Sweden. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computing", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The Unnamed: 0 is 1662. The S# is 1663. The Teacher Name is Tahir Abdullah. The University Currently Teaching is Government College University Faisalabad. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is University of the Punjab. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The Unnamed: 0 is 491. The S# is 492. The Teacher Name is Kamran Safdar. The University Currently Teaching is Pakistan Institute of Engineering and Applied Sciences. The Province University Located is Capital. The Designation is unknown. The Terminal Degree is PhD. The Graduated from is Universität Salzburg. The Country is Austria. The Year is unknown. The Area of Specialization/Research Interests is Computational geometry, in particular, straight skeletons and Voronoi diagrams; general-purpose computing on graphics processing units (GPGPU); computer graphics and geometric modeling; algorithms and mathematical proofs; parallel and high-performance computing. The Other Information is unknown.", "label": "Computer and Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The Unnamed: 0 is 431. The S# is 432. The Teacher Name is Ms.Momina Moetesum. The University Currently Teaching is Bahria University,Islamabad. The Province University Located is Capital. The Designation is Senior Lecturer. The Terminal Degree is MS. The Graduated from is Bahria University,Islamabad. The Country is Pakistan. The Year is 2011.0. The Area of Specialization/Research Interests is Image Analysis and Pattern Classification. The Other Information is PhD in progress from Bahria University.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The Unnamed: 0 is 1712. The S# is 1713. The Teacher Name is Shehla Ali. The University Currently Teaching is Riphah University,Faisalabad. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is University of Agriculture, Faisalabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The Unnamed: 0 is 1450. The S# is 1451. The Teacher Name is RUKAIYA JAVAID. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The Unnamed: 0 is 1101. The S# is 1102. The Teacher Name is Dr Muhammad Shoaib Farooq. The University Currently Teaching is University of Management and Technology. The Province University Located is Punjab. The Designation is Associate Professor. The Terminal Degree is PhD. The Graduated from is Abdul Wali Khan University, Mardan. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The Unnamed: 0 is 456. The S# is 457. The Teacher Name is Dr. Muhammad Azhar Iqbal. The University Currently Teaching is Capital University of Science and Technology. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Huazhong University of Science and Technology (HUST), Wuhan. The Country is China. The Year is 2012.0. The Area of Specialization/Research Interests is Wireless Ad Hoc Networks, development and evaluation of Network Coding Aware and Network Coding Based routing protocols suitable to highly dynamic and delay tolerant networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The Unnamed: 0 is 1320. The S# is 1321. The Teacher Name is Sh. Muhammad Wahabuddin Usmani. The University Currently Teaching is NED,UET. The Province University Located is Sindh. The Designation is Associate Professor. The Terminal Degree is PhD. The Graduated from is NED University of Engineering And Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Software Development Methodologies. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The Unnamed: 0 is 406. The S# is 407. The Teacher Name is Dr. Imran Ahmed Siddqui. The University Currently Teaching is Bahria University,Islamabad. The Province University Located is Capital. The Designation is Senior Assistant Professor. The Terminal Degree is PhD. The Graduated from is Paris Descartes University. The Country is France. The Year is 2009.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The Unnamed: 0 is 117. The S# is 118. The Teacher Name is M. Masoom Alam. The University Currently Teaching is COMSATS, Islamabad Campus. The Province University Located is Capital. The Designation is Associate Professor. The Terminal Degree is Phd. The Graduated from is University of Innsbruck. The Country is Austria. The Year is 2007.0. The Area of Specialization/Research Interests is system administration and research and development. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The Unnamed: 0 is 1058. The S# is 1059. The Teacher Name is Sohail Aamir. The University Currently Teaching is Virtual University. The Province University Located is Punjab. The Designation is Tutor/Instructor. The Terminal Degree is M.Sc. The Graduated from is University of the Punjab,Gujranwala. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Computer networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The Unnamed: 0 is 1561. The S# is 1562. The Teacher Name is Asmat Ara. The University Currently Teaching is Mohammad Ali Jinnah University. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Karachi. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "FACULTY OF COMPUTING & ENGINEERING", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The Unnamed: 0 is 803. The S# is 804. The Teacher Name is Sumaira Sharif. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The Unnamed: 0 is 314. The S# is 315. The Teacher Name is Dr. Ali Daud. The University Currently Teaching is International Islamic University,Islamabad. The Province University Located is Capital. The Designation is Associate Professor. The Terminal Degree is PhD. The Graduated from is Tsinghua University. The Country is China. The Year is 2010.0. The Area of Specialization/Research Interests is Text Mining,Information Retrieval, Information Extraction, Social Network Analysis, Machine Learning, Graphical Models, Topic Models. The Other Information is unknown.", "label": "Computer Science and Software Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The Unnamed: 0 is 1576. The S# is 1577. The Teacher Name is Shah Jamal Alam. The University Currently Teaching is Habib University. The Province University Located is Sindh. The Designation is Assistant Professor/Director. The Terminal Degree is PhD. The Graduated from is Manchester Metropolitan University. The Country is UK. The Year is unknown. The Area of Specialization/Research Interests is Social network analysis,Land use change,Climate change adaptation,Infectious disease transmission,Social anthropology. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The Unnamed: 0 is 1088. The S# is 1089. The Teacher Name is Amjad Hussain Zahid. The University Currently Teaching is University of Management and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Government College University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The Unnamed: 0 is 138. The S# is 139. The Teacher Name is Zara Hamid. The University Currently Teaching is COMSATS, Islamabad Campus. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is National University of Sciences and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Wireless Sensor Networks. She is interested in the design and performance evaluation of communication protocols for wireless ad hoc and sensor networks. She is also interested in Information Centric Networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The Unnamed: 0 is 1242. The S# is 1243. The Teacher Name is MALLAH MUHAMMAD RAFIQUE. The University Currently Teaching is University of Sindh. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MSc. The Graduated from is Sindh University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Institute of Mathematics & Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The Unnamed: 0 is 2. The S# is 3. The Teacher Name is Dr. Abdul Basit. The University Currently Teaching is University of Balochistan. The Province University Located is Balochistan. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Asian Institute of Technology. The Country is Thailand. The Year is unknown. The Area of Specialization/Research Interests is Software Engineering & DBMS. The Other Information is unknown.", "label": "Computer Science & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The Unnamed: 0 is 1453. The S# is 1454. The Teacher Name is SANIAH REHAN. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The Unnamed: 0 is 818. The S# is 819. The Teacher Name is Maida Khan. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Associate Professor. The Terminal Degree is BS. The Graduated from is Punjab University College of Information Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is M.Phil in progress.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The Unnamed: 0 is 1251. The S# is 1252. The Teacher Name is NANGRAJ ABDUL REHMAN. The University Currently Teaching is University of Sindh. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is BS. The Graduated from is Sindh University. The Country is Pakistan. The Year is 2005.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Institute of Mathematics & Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The Unnamed: 0 is 1019. The S# is 1020. The Teacher Name is Muhammad Anwaar Saeed. The University Currently Teaching is Virtual University. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is National College of Business Administration and Economics. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is AI based Encryption Techniques and Quantum Computing. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The Unnamed: 0 is 1250. The S# is 1251. The Teacher Name is FIDA HUSSAIN CHANDIO. The University Currently Teaching is University of Sindh. The Province University Located is Sindh. The Designation is Associate Professor. The Terminal Degree is Post Doc. The Graduated from is International Islamic University,Islamabad. The Country is Malaysia. The Year is 2015.0. The Area of Specialization/Research Interests is computing and information systems domain. The Other Information is unknown.", "label": "Institute of Mathematics & Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The Unnamed: 0 is 802. The S# is 803. The Teacher Name is Amina Mukhtar. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2010.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The Unnamed: 0 is 1284. The S# is 1285. The Teacher Name is Behraj Khan. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2014.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The Unnamed: 0 is 1130. The S# is 1131. The Teacher Name is Saad Saleem Malik. The University Currently Teaching is Beaconhouse National University. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Beaconhouse National University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Research based teaching. The Other Information is unknown.", "label": "School of Information and Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The Unnamed: 0 is 1301. The S# is 1302. The Teacher Name is Dr. Nadeem Mahmood. The University Currently Teaching is University of Karachi. The Province University Located is Sindh. The Designation is Associate Professor. The Terminal Degree is Post Doc. The Graduated from is International Islamic University,Islamabad. The Country is Malaysia. The Year is unknown. The Area of Specialization/Research Interests is Temporal and Spatial Database Systems, Artificial Intelligence, Health Information Systems, Software Engineering. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The Unnamed: 0 is 1482. The S# is 1483. The Teacher Name is Ms. Ramsha Ali. The University Currently Teaching is Jinnah University for Women. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is PAF-Karachi Institute of Economics and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The Unnamed: 0 is 1419. The S# is 1420. The Teacher Name is KHALIQ AHMED. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is M.E. The Graduated from is NED University of Engineering And Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The Unnamed: 0 is 1425. The S# is 1426. The Teacher Name is OSAMA AHMED SIDDIQUI. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The Unnamed: 0 is 493. The S# is 494. The Teacher Name is Fayyaz-ul-Amir Afsar Minhas. The University Currently Teaching is Pakistan Institute of Engineering and Applied Sciences. The Province University Located is Capital. The Designation is unknown. The Terminal Degree is PhD. The Graduated from is Colorado State University. The Country is USofA. The Year is unknown. The Area of Specialization/Research Interests is Machine Learning (Artificial & Computational Intelligence), Digital Signal Processing, Biomedical signal analysis, Biometrics. The Other Information is unknown.", "label": "Computer and Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The Unnamed: 0 is 1418. The S# is 1419. The Teacher Name is HASSAN ZAKI. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Hamdard University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The Unnamed: 0 is 273. The S# is 274. The Teacher Name is Hasan Mujtaba Kayani. The University Currently Teaching is FAST-NU(Islamabad). The Province University Located is Capital. The Designation is Associate Professor. The Terminal Degree is PhD. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2010.0. The Area of Specialization/Research Interests is Artificial Intelligence, Computational Intelligence, Machine Learning, Data Mining & Knowledge Discovery, Evolutionary Gaming, Machine Vision & Robotics. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The Unnamed: 0 is 972. The S# is 973. The Teacher Name is Usman Ashraf. The University Currently Teaching is FAST(Lahore). The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Chalmers University of Technology. The Country is Sweden. The Year is 2009.0. The Area of Specialization/Research Interests is Software Engineering in general and IT project management, agile methods (TDD, XP), and software verification and validation in particular. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The Unnamed: 0 is 25. The S# is 26. The Teacher Name is Nausheed Saeed. The University Currently Teaching is Sardar Bahadur Khan Women's University. The Province University Located is Balochistan. The Designation is Lecturer. The Terminal Degree is MCS. The Graduated from is University of Balochistan. The Country is Pakistan. The Year is 2008.0. The Area of Specialization/Research Interests is Software Engineering, Computer Networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The Unnamed: 0 is 1262. The S# is 1263. The Teacher Name is Zulfiqar Ali Memon. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Associate Professor. The Terminal Degree is PhD. The Graduated from is Vrije University, Amsterdam. The Country is Netherland. The Year is 2010.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The Unnamed: 0 is 432. The S# is 433. The Teacher Name is Ms. Anum Ayaz. The University Currently Teaching is Bahria University,Islamabad. The Province University Located is Capital. The Designation is Senior Lecturer. The Terminal Degree is MS. The Graduated from is Bahria University,Islamabad. The Country is Pakistan. The Year is 2013.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The Unnamed: 0 is 1726. The S# is 1727. The Teacher Name is Shahid Manzoor. The University Currently Teaching is Punjab University,Gujranwala Campus. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Swedish University of Agricultural Sciences, Uppsala. The Country is Sweden. The Year is 2014.0. The Area of Specialization/Research Interests is NGS Data (Assembly, Annotation, Metabolic Pathways Analysis), Computational Biology. The Other Information is On study leave.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The Unnamed: 0 is 915. The S# is 916. The Teacher Name is Muhammad Kamran. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of the Punjab. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The Unnamed: 0 is 230. The S# is 231. The Teacher Name is Asad Ali Shah. The University Currently Teaching is National University of Sciences and Technology. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Malaya. The Country is Malaysia. The Year is 2017.0. The Area of Specialization/Research Interests is Question Answering, Credibility Assessment, Information Retrieval, Information Processing, Semantic Web. The Other Information is unknown.", "label": "Computing", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The Unnamed: 0 is 1676. The S# is 1677. The Teacher Name is Sohail Jabbar. The University Currently Teaching is National Textile University,Faisalabad. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Bahria University,Islamabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Wireless Communication and Networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The Unnamed: 0 is 387. The S# is 388. The Teacher Name is Omer Ishaq Hassan. The University Currently Teaching is Air University. The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Uppsala University. The Country is Sweden. The Year is unknown. The Area of Specialization/Research Interests is Image analysis & Deep learning. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The Unnamed: 0 is 892. The S# is 893. The Teacher Name is Dr. Mehvish Irfan Poshni. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Columbia University. The Country is USA. The Year is 2012.0. The Area of Specialization/Research Interests is Topological graph theory. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The Unnamed: 0 is 1265. The S# is 1266. The Teacher Name is Jalaluddin Qureshi. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Nanyang Tech University. The Country is Singapore. The Year is 2014.0. The Area of Specialization/Research Interests is Error Correction Coding, Optimization Wireless Routing, Mathematical analysis of transmission networks, Evolutionary computation, Applied Machine Learning. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The Unnamed: 0 is 257. The S# is 258. The Teacher Name is Mr. Adeel Zafar. The University Currently Teaching is RIPHAH International. The Province University Located is Capital. The Designation is Lecturer. The Terminal Degree is PhD. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2018.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computing", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The Unnamed: 0 is 763. The S# is 764. The Teacher Name is Ahmad Shabbar Kazmi. The University Currently Teaching is University of Central Punjab. The Province University Located is Punjab. The Designation is Head of Department. The Terminal Degree is PhD. The Graduated from is Boston University. The Country is USofA. The Year is 1999.0. The Area of Specialization/Research Interests is Neural Networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The Unnamed: 0 is 1458. The S# is 1459. The Teacher Name is FARAH AHMED. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MSIT. The Graduated from is Biztek Institute Of Business & Technology,Karachi. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The Unnamed: 0 is 1556. The S# is 1557. The Teacher Name is Khaliq-ur-Rahman Raazi. The University Currently Teaching is Mohammad Ali Jinnah University. The Province University Located is Sindh. The Designation is Associate Professor/HoD. The Terminal Degree is PhD. The Graduated from is Kyung Hee University. The Country is South Korea. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "FACULTY OF COMPUTING & ENGINEERING", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The Unnamed: 0 is 1118. The S# is 1119. The Teacher Name is Saqlain Ahmad. The University Currently Teaching is Minhaj University Lahore. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Beijing Institute of Technology Beijing. The Country is China. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "CS & IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The Unnamed: 0 is 1533. The S# is 1534. The Teacher Name is Adnan Ullah Khan. The University Currently Teaching is PAF-Karachi Institute of Economics and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is NED University of Engineering And Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Reports on Census of Pakistan 1951,1961,1972,1981 and 1998\nDemography Analysis of Pakistan\n Apply Pearson’s System of frequency Curve in different date set of PDF, PGS with complete programming in R, SAS\n\n?. The Other Information is Visiting.", "label": "Computing & Information Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The Unnamed: 0 is 1980. The S# is 1981. The Teacher Name is Dr. Sajid Anwar. The University Currently Teaching is Ghulam Ishaq Khan Institute. The Province University Located is KPK. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Seoul National University. The Country is South Korea. The Year is unknown. The Area of Specialization/Research Interests is Pruning and Quantizing CNN, GPGPU,. The Other Information is unknown.", "label": "Computer Science and Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The Unnamed: 0 is 1697. The S# is 1698. The Teacher Name is Fiaz Waheed. The University Currently Teaching is NFC Institute of Engineering and Fertilizer Research. The Province University Located is Punjab. The Designation is Lab Engineer. The Terminal Degree is BS. The Graduated from is University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is MS in progress.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The Unnamed: 0 is 1732. The S# is 1733. The Teacher Name is Zeeshan Arshad. The University Currently Teaching is Punjab University,Gujranwala Campus. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is COMSATS Institute of Information Technology,Lahore. The Country is Pakistan. The Year is 2014.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The Unnamed: 0 is 518. The S# is 519. The Teacher Name is Dr.Nadeem Ahmad. The University Currently Teaching is University of Lahore-PakPattan. The Province University Located is Punjab. The Designation is Head of Department. The Terminal Degree is PhD. The Graduated from is Politecnico di Torino. The Country is Italy. The Year is 2014.0. The Area of Specialization/Research Interests is human machine interfaces. The Other Information is unknown.", "label": "Computer Science and IT", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The Unnamed: 0 is 106. The S# is 107. The Teacher Name is Bilal-ur-Rehman. The University Currently Teaching is University of Turbat. The Province University Located is Balochistan. The Designation is Lecturer. The Terminal Degree is BE. The Graduated from is DUET,Karachi. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Computer Graphics, Digital Logic Design, Software Engineering, Operating Systems, Artificial Intelligence. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The Unnamed: 0 is 894. The S# is 895. The Teacher Name is Dr. Zubair Nawaz. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Delft University of Technology. The Country is Netherland. The Year is 2011.0. The Area of Specialization/Research Interests is Analysis of Algorithms, Advanced Algorithms, High Performance Computing. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The Unnamed: 0 is 1355. The S# is 1356. The Teacher Name is Ghulam Murtaza Memon. The University Currently Teaching is Institute of Business Administration,Sukkur. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is PAF-Karachi Institute of Economics and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Data Mining, Business Intelligence, Big Data Analytics, Digital Image Processing, Digital Watermarking Security, Error Correcting Codes, Spread Spectrum. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The Unnamed: 0 is 1269. The S# is 1270. The Teacher Name is Abdul Aziz. The University Currently Teaching is FAST(Karachi). The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is Hamdard University. The Country is Pakistan. The Year is 2006.0. The Area of Specialization/Research Interests is Disaster Management, Information Systems, Geo Informatics, Social Informatics, Urban Planning, Image Processing. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The Unnamed: 0 is 704. The S# is 705. The Teacher Name is Mr. Muhammad Nauman Iqbal. The University Currently Teaching is Barani Institute of Information and Technology. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MCS. The Graduated from is Pir Mehr Ali Shah Arid Agriculture University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is MS in progress from UAAR.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The Unnamed: 0 is 1824. The S# is 1825. The Teacher Name is Waheed ur Rehman. The University Currently Teaching is University of Peshawar. The Province University Located is KPK. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Westminster. The Country is UK. The Year is 2016.0. The Area of Specialization/Research Interests is 60-GHz networks, resource allocation in HetNets, Capacity analysis in wireless networks. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The Unnamed: 0 is 889. The S# is 890. The Teacher Name is Dr. Shahzad Sarwar. The University Currently Teaching is Punjab University College of Information and Technology. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Vienna University of Technology. The Country is Austria. The Year is 2008.0. The Area of Specialization/Research Interests is Computer Networks, Topics in Internet Research, Optical Communications, Performance Modeling. The Other Information is unknown.", "label": "Information Technology", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The Unnamed: 0 is 974. The S# is 975. The Teacher Name is Aatira Anum. The University Currently Teaching is FAST(Lahore). The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Lahore University of Management Sciences. The Country is Pakistan. The Year is 2015.0. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The Unnamed: 0 is 1672. The S# is 1673. The Teacher Name is Muhammad Asif Habib. The University Currently Teaching is National Textile University,Faisalabad. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is JKU. The Country is Austria. The Year is unknown. The Area of Specialization/Research Interests is Computer Networks (Information Network Security (Access Control/Authorization), Cloud Computing Security). The Other Information is HEC Approved Supervisor.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The Unnamed: 0 is 1436. The S# is 1437. The Teacher Name is ANEETA ARSHAD. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The Unnamed: 0 is 516. The S# is 517. The Teacher Name is Noman Javed. The University Currently Teaching is NAML-Mianwali. The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is University of Orleans. The Country is France. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The Unnamed: 0 is 1580. The S# is 1581. The Teacher Name is Taj Muhammad Khan. The University Currently Teaching is Habib University. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is INRIA Saclay Ile-de-France. The Country is France. The Year is unknown. The Area of Specialization/Research Interests is Computer Architecture, Compiler Optimizations and Natural Languages. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The Unnamed: 0 is 1167. The S# is 1168. The Teacher Name is Khurram Raza. The University Currently Teaching is Shaheed Zulfikar Ali Bhutto Institute of Science and Technology. The Province University Located is Sindh. The Designation is Lecturer. The Terminal Degree is MSc. The Graduated from is Sindh University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Mathematics. The Other Information is unknown.", "label": "Computing", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The Unnamed: 0 is 1911. The S# is 1912. The Teacher Name is KASHIF BASIR. The University Currently Teaching is City University. The Province University Located is KPK. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is National University of Sciences and Technology. The Country is Pakistan. The Year is 2014.0. The Area of Specialization/Research Interests is SOFTWARE ENGINEERING. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The Unnamed: 0 is 1391. The S# is 1392. The Teacher Name is SAQIB HUSSAIN SIDDIQUI. The University Currently Teaching is Sir Syed University of Engineering and Technology. The Province University Located is Sindh. The Designation is Assistant Professor. The Terminal Degree is MBA. The Graduated from is Sir Syed University of Engineering and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Engineering", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The Unnamed: 0 is 1695. The S# is 1696. The Teacher Name is Aden Iqbal. The University Currently Teaching is NFC Institute of Engineering and Fertilizer Research. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is National Textile University. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The Unnamed: 0 is 276. The S# is 277. The Teacher Name is Ehtesham Zahoor. The University Currently Teaching is FAST-NU(Islamabad). The Province University Located is Capital. The Designation is Assistant Professor. The Terminal Degree is PhD. The Graduated from is Nancy 2 University. The Country is France. The Year is 2011.0. The Area of Specialization/Research Interests is Cloud Computing and Services Composition. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The Unnamed: 0 is 689. The S# is 690. The Teacher Name is Mr. Muhammad Ayub. The University Currently Teaching is Barani Institute of Information and Technology. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MBA. The Graduated from is Preston. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The Unnamed: 0 is 870. The S# is 871. The Teacher Name is Mr. Umair Waqas. The University Currently Teaching is Lahore Garrison University. The Province University Located is Punjab. The Designation is Lecturer. The Terminal Degree is MS. The Graduated from is National University of Sciences and Technology. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is Mobile Development. The Other Information is unknown.", "label": "Computer Sciences", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The Unnamed: 0 is 1928. The S# is 1929. The Teacher Name is Abdus Salam. The University Currently Teaching is Abasyn University. The Province University Located is KPK. The Designation is Professor/HoD. The Terminal Degree is PhD. The Graduated from is International Islamic University,Islamabad. The Country is Pakistan. The Year is unknown. The Area of Specialization/Research Interests is unknown. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The Unnamed: 0 is 967. The S# is 968. The Teacher Name is Lehmia Kiran. The University Currently Teaching is FAST(Lahore). The Province University Located is Punjab. The Designation is Assistant Professor. The Terminal Degree is MS. The Graduated from is FAST– National University of Computer and Emerging Sciences. The Country is Pakistan. The Year is 2010.0. The Area of Specialization/Research Interests is Software testing and Interaction design. The Other Information is unknown.", "label": "Computer Science", "dataset": "alexisbcook-pakistan-intellectual-capital", "benchmark": "unipredict", "task_type": "clf"}
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classification/unipredict/alirezachahardoli-bank-personal-loan-1/train.jsonl ADDED
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classification/unipredict/altruistdelhite04-gold-price-data/metadata.json ADDED
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223
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227
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228
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229
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232
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233
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classification/unipredict/altruistdelhite04-gold-price-data/test.jsonl ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The Date is 10/21/2014. The GLD is 120.02. The USO is 31.3. The SLV is 16.81. The EUR/USD is 1.27.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The Date is 11/1/2013. The GLD is 126.95. The USO is 34.13. The SLV is 21.08. The EUR/USD is 1.36.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The Date is 9/7/2010. The GLD is 122.7. The USO is 32.77. The SLV is 19.36. The EUR/USD is 1.27.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The Date is 5/30/2012. The GLD is 151.91. The USO is 33.02. The SLV is 27.12. The EUR/USD is 1.24.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The Date is 12/7/2015. The GLD is 102.67. The USO is 11.72. The SLV is 13.62. The EUR/USD is 1.09.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The Date is 3/19/2009. The GLD is 94.35. The USO is 30.36. The SLV is 13.42. The EUR/USD is 1.37.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The Date is 1/4/2011. The GLD is 134.75. The USO is 38.08. The SLV is 29.08. The EUR/USD is 1.34.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The Date is 12/28/2010. The GLD is 137.22. The USO is 38.91. The SLV is 29.53. The EUR/USD is 1.32.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The Date is 7/29/2008. The GLD is 90.59. The USO is 98.04. The SLV is 17.19. The EUR/USD is 1.56.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The Date is 12/7/2017. The GLD is 118.49. The USO is 11.33. The SLV is 14.87. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The Date is 2/12/2018. The GLD is 125.37. The USO is 11.89. The SLV is 15.57. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The Date is 2/2/2010. The GLD is 109.13. The USO is 37.53. The SLV is 16.35. The EUR/USD is 1.4.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The Date is 10/16/2014. The GLD is 119.22. The USO is 31.1. The SLV is 16.67. The EUR/USD is 1.28.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The Date is 11/3/2016. The GLD is 124.3. The USO is 10.08. The SLV is 17.42. The EUR/USD is 1.11.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The Date is 3/24/2015. The GLD is 114.57. The USO is 16.79. The SLV is 16.28. The EUR/USD is 1.09.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The Date is 1/26/2017. The GLD is 113.26. The USO is 11.53. The SLV is 15.93. The EUR/USD is 1.08.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The Date is 3/14/2013. The GLD is 153.68. The USO is 33.42. The SLV is 27.8. The EUR/USD is 1.3.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The Date is 8/11/2014. The GLD is 125.96. The USO is 36.22. The SLV is 19.23. The EUR/USD is 1.34.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The Date is 1/3/2013. The GLD is 161.2. The USO is 33.74. The SLV is 29.18. The EUR/USD is 1.32.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The Date is 8/14/2014. The GLD is 126.31. The USO is 35.11. The SLV is 19.1. The EUR/USD is 1.34.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The Date is 10/7/2009. The GLD is 102.36. The USO is 35.96. The SLV is 17.25. The EUR/USD is 1.48.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The Date is 8/12/2015. The GLD is 107.75. The USO is 14.44. The SLV is 14.82. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The Date is 9/14/2009. The GLD is 97.96. The USO is 35.71. The SLV is 16.31. The EUR/USD is 1.47.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The Date is 11/15/2011. The GLD is 173.36. The USO is 38.43. The SLV is 33.66. The EUR/USD is 1.36.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The Date is 12/17/2009. The GLD is 107.34. The USO is 36.36. The SLV is 16.79. The EUR/USD is 1.43.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The Date is 12/29/2017. The GLD is 123.65. The USO is 12.01. The SLV is 15.99. The EUR/USD is 1.19.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The Date is 1/22/2014. The GLD is 119.19. The USO is 34.56. The SLV is 19.03. The EUR/USD is 1.36.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The Date is 6/15/2015. The GLD is 113.73. The USO is 20.15. The SLV is 15.4. The EUR/USD is 1.13.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The Date is 10/3/2013. The GLD is 127.18. The USO is 37.14. The SLV is 20.92. The EUR/USD is 1.36.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The Date is 8/23/2011. The GLD is 177.67. The USO is 33.42. The SLV is 40.63. The EUR/USD is 1.44.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The Date is 11/16/2015. The GLD is 103.71. The USO is 13.39. The SLV is 13.6. The EUR/USD is 1.07.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The Date is 4/5/2018. The GLD is 125.8. The USO is 12.83. The SLV is 15.45. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The Date is 12/2/2016. The GLD is 112.14. The USO is 11.48. The SLV is 15.83. The EUR/USD is 1.07.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The Date is 2/9/2012. The GLD is 168.02. The USO is 38.33. The SLV is 32.9. The EUR/USD is 1.32.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The Date is 9/2/2010. The GLD is 122.29. The USO is 33.39. The SLV is 19.28. The EUR/USD is 1.28.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The Date is 10/14/2008. The GLD is 82.2. The USO is 65.03. The SLV is 10.86. The EUR/USD is 1.34.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The Date is 2/10/2012. The GLD is 167.14. The USO is 38.02. The SLV is 32.51. The EUR/USD is 1.33.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The Date is 2/23/2016. The GLD is 117.22. The USO is 8.48. The SLV is 14.54. The EUR/USD is 1.1.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The Date is 11/25/2015. The GLD is 102.46. The USO is 13.39. The SLV is 13.52. The EUR/USD is 1.06.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The Date is 3/18/2016. The GLD is 119.8. The USO is 10.48. The SLV is 15.03. The EUR/USD is 1.13.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The Date is 8/27/2015. The GLD is 107.73. The USO is 13.95. The SLV is 13.8. The EUR/USD is 1.12.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The Date is 12/6/2010. The GLD is 139.11. The USO is 38.22. The SLV is 29.51. The EUR/USD is 1.34.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The Date is 3/13/2009. The GLD is 91.3. The USO is 27.63. The SLV is 13.05. The EUR/USD is 1.29.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The Date is 10/19/2015. The GLD is 112.02. The USO is 14.83. The SLV is 15.11. The EUR/USD is 1.13.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The Date is 1/7/2009. The GLD is 82.75. The USO is 33.27. The SLV is 10.86. The EUR/USD is 1.36.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The Date is 10/4/2017. The GLD is 121.17. The USO is 10.08. The SLV is 15.69. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The Date is 9/3/2015. The GLD is 107.84. The USO is 15.34. The SLV is 14.02. The EUR/USD is 1.11.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The Date is 8/30/2017. The GLD is 124.36. The USO is 9.38. The SLV is 16.46. The EUR/USD is 1.19.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The Date is 4/7/2008. The GLD is 91.17. The USO is 86.93. The SLV is 17.95. The EUR/USD is 1.56.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The Date is 1/13/2009. The GLD is 80.88. The USO is 31.84. The SLV is 10.6. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The Date is 6/9/2015. The GLD is 112.82. The USO is 20.21. The SLV is 15.29. The EUR/USD is 1.13.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The Date is 2/10/2011. The GLD is 132.85. The USO is 36.54. The SLV is 29.46. The EUR/USD is 1.37.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The Date is 5/12/2010. The GLD is 121.4. The USO is 36.77. The SLV is 19.12. The EUR/USD is 1.25.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The Date is 11/10/2011. The GLD is 171.14. The USO is 37.72. The SLV is 33.14. The EUR/USD is 1.35.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The Date is 1/20/2016. The GLD is 105.37. The USO is 8.24. The SLV is 13.48. The EUR/USD is 1.09.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The Date is 8/24/2015. The GLD is 110.53. The USO is 12.5. The SLV is 14.13. The EUR/USD is 1.16.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The Date is 6/28/2017. The GLD is 118.9. The USO is 9.2. The SLV is 15.92. The EUR/USD is 1.14.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The Date is 10/28/2009. The GLD is 100.73. The USO is 39.46. The SLV is 15.86. The EUR/USD is 1.47.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The Date is 6/24/2013. The GLD is 123.93. The USO is 33.64. The SLV is 18.97. The EUR/USD is 1.31.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The Date is 5/9/2011. The GLD is 147.38. The USO is 40.87. The SLV is 36.98. The EUR/USD is 1.44.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The Date is 12/26/2014. The GLD is 114.83. The USO is 20.78. The SLV is 15.35. The EUR/USD is 1.22.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The Date is 9/12/2016. The GLD is 126.59. The USO is 10.64. The SLV is 18.17. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The Date is 6/22/2010. The GLD is 121.45. The USO is 35.0. The SLV is 18.42. The EUR/USD is 1.23.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The Date is 6/27/2017. The GLD is 118.81. The USO is 9.1. The SLV is 15.79. The EUR/USD is 1.13.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The Date is 8/25/2008. The GLD is 80.93. The USO is 93.1. The SLV is 13.33. The EUR/USD is 1.46.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The Date is 11/30/2017. The GLD is 121.1. The USO is 11.47. The SLV is 15.51. The EUR/USD is 1.19.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The Date is 3/5/2014. The GLD is 128.89. The USO is 36.24. The SLV is 20.36. The EUR/USD is 1.37.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The Date is 12/10/2010. The GLD is 135.41. The USO is 37.66. The SLV is 27.98. The EUR/USD is 1.32.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The Date is 5/4/2015. The GLD is 114.1. The USO is 20.28. The SLV is 15.7. The EUR/USD is 1.11.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The Date is 1/6/2009. The GLD is 85.13. The USO is 37.25. The SLV is 11.34. The EUR/USD is 1.35.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The Date is 3/17/2014. The GLD is 131.64. The USO is 35.15. The SLV is 20.33. The EUR/USD is 1.39.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The Date is 11/28/2014. The GLD is 112.11. The USO is 25.58. The SLV is 14.83. The EUR/USD is 1.25.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The Date is 4/12/2011. The GLD is 141.61. The USO is 42.3. The SLV is 39.09. The EUR/USD is 1.45.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The Date is 10/18/2017. The GLD is 121.67. The USO is 10.48. The SLV is 16.06. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The Date is 12/6/2017. The GLD is 120.07. The USO is 11.2. The SLV is 15.1. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The Date is 12/12/2016. The GLD is 110.82. The USO is 11.62. The SLV is 16.19. The EUR/USD is 1.05.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The Date is 5/2/2018. The GLD is 123.65. The USO is 13.67. The SLV is 15.42. The EUR/USD is 1.2.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The Date is 2/17/2011. The GLD is 135.04. The USO is 36.06. The SLV is 31.03. The EUR/USD is 1.36.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The Date is 11/10/2015. The GLD is 104.18. The USO is 14.09. The SLV is 13.76. The EUR/USD is 1.08.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The Date is 2/7/2008. The GLD is 89.85. The USO is 69.8. The SLV is 16.67. The EUR/USD is 1.45.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The Date is 5/6/2013. The GLD is 142.15. The USO is 34.14. The SLV is 23.18. The EUR/USD is 1.31.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The Date is 8/28/2014. The GLD is 124.0. The USO is 35.32. The SLV is 18.74. The EUR/USD is 1.32.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The Date is 1/2/2015. The GLD is 114.08. The USO is 19.89. The SLV is 15.11. The EUR/USD is 1.21.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The Date is 6/4/2012. The GLD is 157.32. The USO is 31.76. The SLV is 27.46. The EUR/USD is 1.25.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The Date is 1/6/2010. The GLD is 111.51. The USO is 40.97. The SLV is 17.86. The EUR/USD is 1.44.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The Date is 2/20/2018. The GLD is 126.24. The USO is 12.39. The SLV is 15.54. The EUR/USD is 1.24.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The Date is 5/12/2014. The GLD is 124.94. The USO is 36.59. The SLV is 18.78. The EUR/USD is 1.38.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The Date is 12/4/2014. The GLD is 115.88. The USO is 25.34. The SLV is 15.77. The EUR/USD is 1.23.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The Date is 5/24/2011. The GLD is 148.59. The USO is 39.28. The SLV is 35.77. The EUR/USD is 1.41.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The Date is 9/28/2015. The GLD is 108.42. The USO is 14.38. The SLV is 13.94. The EUR/USD is 1.12.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The Date is 1/9/2014. The GLD is 118.46. The USO is 33.08. The SLV is 18.84. The EUR/USD is 1.36.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The Date is 1/30/2008. The GLD is 92.06. The USO is 73.08. The SLV is 16.67. The EUR/USD is 1.48.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The Date is 9/2/2008. The GLD is 79.2. The USO is 89.19. The SLV is 12.94. The EUR/USD is 1.45.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The Date is 12/18/2015. The GLD is 102.04. The USO is 10.66. The SLV is 13.43. The EUR/USD is 1.08.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The Date is 4/22/2009. The GLD is 87.38. The USO is 27.34. The SLV is 12.13. The EUR/USD is 1.31.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The Date is 9/12/2013. The GLD is 127.67. The USO is 38.87. The SLV is 21.06. The EUR/USD is 1.33.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The Date is 3/31/2015. The GLD is 113.66. The USO is 16.84. The SLV is 15.93. The EUR/USD is 1.07.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The Date is 11/5/2008. The GLD is 72.8. The USO is 53.84. The SLV is 10.21. The EUR/USD is 1.29.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The Date is 2/12/2015. The GLD is 117.34. The USO is 19.18. The SLV is 16.15. The EUR/USD is 1.13.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The Date is 2/21/2008. The GLD is 93.25. The USO is 77.33. The SLV is 17.7. The EUR/USD is 1.48.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The Date is 12/21/2010. The GLD is 135.32. The USO is 38.29. The SLV is 28.64. The EUR/USD is 1.31.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The Date is 12/18/2008. The GLD is 83.87. The USO is 32.73. The SLV is 10.84. The EUR/USD is 1.43.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The Date is 8/2/2016. The GLD is 130.27. The USO is 9.33. The SLV is 19.6. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The Date is 8/5/2010. The GLD is 116.98. The USO is 36.71. The SLV is 17.96. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The Date is 5/8/2008. The GLD is 87.24. The USO is 100.66. The SLV is 16.7. The EUR/USD is 1.55.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The Date is 7/14/2010. The GLD is 118.3. The USO is 34.66. The SLV is 17.96. The EUR/USD is 1.29.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The Date is 2/9/2018. The GLD is 124.77. The USO is 11.86. The SLV is 15.39. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The Date is 2/15/2011. The GLD is 133.97. The USO is 35.39. The SLV is 30.0. The EUR/USD is 1.35.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The Date is 3/20/2018. The GLD is 124.31. The USO is 12.81. The SLV is 15.28. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The Date is 1/21/2014. The GLD is 119.7. The USO is 33.99. The SLV is 19.17. The EUR/USD is 1.35.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The Date is 12/3/2010. The GLD is 138.07. The USO is 38.31. The SLV is 28.6. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The Date is 7/28/2016. The GLD is 127.66. The USO is 9.67. The SLV is 19.21. The EUR/USD is 1.11.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The Date is 4/28/2015. The GLD is 116.33. The USO is 19.6. The SLV is 15.87. The EUR/USD is 1.1.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The Date is 4/18/2011. The GLD is 145.93. The USO is 42.88. The SLV is 42.42. The EUR/USD is 1.42.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The Date is 4/12/2016. The GLD is 120.05. The USO is 10.64. The SLV is 15.41. The EUR/USD is 1.14.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The Date is 3/15/2016. The GLD is 117.96. The USO is 9.7. The SLV is 14.54. The EUR/USD is 1.11.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The Date is 8/30/2011. The GLD is 179.1. The USO is 34.44. The SLV is 40.4. The EUR/USD is 1.44.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The Date is 8/1/2016. The GLD is 129.22. The USO is 9.41. The SLV is 19.43. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The Date is 12/10/2012. The GLD is 165.8. The USO is 31.39. The SLV is 32.14. The EUR/USD is 1.29.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The Date is 12/2/2010. The GLD is 135.2. The USO is 37.77. The SLV is 27.93. The EUR/USD is 1.31.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The Date is 10/21/2015. The GLD is 111.73. The USO is 14.43. The SLV is 14.99. The EUR/USD is 1.13.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The Date is 8/6/2013. The GLD is 123.97. The USO is 37.46. The SLV is 18.83. The EUR/USD is 1.33.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The Date is 9/21/2011. The GLD is 173.59. The USO is 32.92. The SLV is 38.56. The EUR/USD is 1.36.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The Date is 2/13/2015. The GLD is 117.98. The USO is 19.62. The SLV is 16.54. The EUR/USD is 1.14.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The Date is 5/19/2009. The GLD is 90.96. The USO is 32.79. The SLV is 13.98. The EUR/USD is 1.38.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The Date is 6/12/2012. The GLD is 156.46. The USO is 31.42. The SLV is 28.12. The EUR/USD is 1.25.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The Date is 6/30/2009. The GLD is 91.18. The USO is 37.93. The SLV is 13.38. The EUR/USD is 1.41.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The Date is 7/10/2012. The GLD is 152.15. The USO is 31.52. The SLV is 26.06. The EUR/USD is 1.23.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The Date is 3/21/2013. The GLD is 156.25. The USO is 33.05. The SLV is 28.18. The EUR/USD is 1.29.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The Date is 3/27/2013. The GLD is 155.36. The USO is 34.55. The SLV is 27.73. The EUR/USD is 1.29.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The Date is 7/16/2014. The GLD is 124.97. The USO is 37.31. The SLV is 19.91. The EUR/USD is 1.35.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The Date is 12/11/2012. The GLD is 165.65. The USO is 31.47. The SLV is 31.91. The EUR/USD is 1.29.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The Date is 9/26/2017. The GLD is 123.14. The USO is 10.49. The SLV is 15.91. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The Date is 12/31/2015. The GLD is 101.46. The USO is 11.0. The SLV is 13.19. The EUR/USD is 1.09.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The Date is 2/2/2018. The GLD is 126.39. The USO is 13.04. The SLV is 15.66. The EUR/USD is 1.25.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The Date is 12/1/2015. The GLD is 102.28. The USO is 12.95. The SLV is 13.51. The EUR/USD is 1.06.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The Date is 10/30/2017. The GLD is 121.13. The USO is 10.87. The SLV is 15.91. The EUR/USD is 1.16.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The Date is 6/15/2016. The GLD is 123.68. The USO is 11.47. The SLV is 16.69. The EUR/USD is 1.13.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The Date is 11/19/2013. The GLD is 122.95. The USO is 33.72. The SLV is 19.61. The EUR/USD is 1.35.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The Date is 2/1/2011. The GLD is 130.8. The USO is 38.07. The SLV is 27.87. The EUR/USD is 1.37.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The Date is 11/13/2013. The GLD is 122.85. The USO is 33.9. The SLV is 19.78. The EUR/USD is 1.34.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The Date is 5/26/2011. The GLD is 148.22. The USO is 39.6. The SLV is 36.51. The EUR/USD is 1.41.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The Date is 12/22/2015. The GLD is 102.61. The USO is 10.77. The SLV is 13.59. The EUR/USD is 1.09.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The Date is 3/16/2015. The GLD is 110.81. The USO is 16.35. The SLV is 14.99. The EUR/USD is 1.05.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The Date is 3/25/2014. The GLD is 126.41. The USO is 35.77. The SLV is 19.22. The EUR/USD is 1.38.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The Date is 8/10/2016. The GLD is 128.56. The USO is 9.77. The SLV is 19.16. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The Date is 5/5/2009. The GLD is 88.25. The USO is 30.15. The SLV is 13.14. The EUR/USD is 1.33.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The Date is 5/11/2016. The GLD is 122.12. The USO is 11.34. The SLV is 16.56. The EUR/USD is 1.14.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The Date is 8/9/2012. The GLD is 156.99. The USO is 34.93. The SLV is 27.29. The EUR/USD is 1.23.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
150
+ {"text": "The Date is 4/3/2018. The GLD is 126.3. The USO is 12.81. The SLV is 15.46. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
151
+ {"text": "The Date is 9/18/2012. The GLD is 171.72. The USO is 35.57. The SLV is 33.71. The EUR/USD is 1.3.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
152
+ {"text": "The Date is 4/13/2011. The GLD is 141.9. The USO is 42.75. The SLV is 39.57. The EUR/USD is 1.44.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
153
+ {"text": "The Date is 7/30/2008. The GLD is 89.52. The USO is 102.13. The SLV is 17.36. The EUR/USD is 1.56.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
154
+ {"text": "The Date is 7/7/2015. The GLD is 110.76. The USO is 17.76. The SLV is 14.43. The EUR/USD is 1.1.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
155
+ {"text": "The Date is 1/28/2009. The GLD is 87.42. The USO is 29.75. The SLV is 11.86. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
156
+ {"text": "The Date is 6/5/2013. The GLD is 135.52. The USO is 33.26. The SLV is 21.78. The EUR/USD is 1.31.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
157
+ {"text": "The Date is 1/12/2012. The GLD is 160.38. The USO is 38.06. The SLV is 29.31. The EUR/USD is 1.27.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
158
+ {"text": "The Date is 7/2/2014. The GLD is 127.7. The USO is 38.4. The SLV is 20.3. The EUR/USD is 1.37.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
159
+ {"text": "The Date is 8/6/2012. The GLD is 156.3. The USO is 34.42. The SLV is 27.11. The EUR/USD is 1.24.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
160
+ {"text": "The Date is 2/16/2018. The GLD is 127.96. The USO is 12.38. The SLV is 15.73. The EUR/USD is 1.25.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
161
+ {"text": "The Date is 9/5/2017. The GLD is 127.46. The USO is 9.92. The SLV is 16.91. The EUR/USD is 1.19.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
162
+ {"text": "The Date is 11/25/2009. The GLD is 116.62. The USO is 39.5. The SLV is 18.52. The EUR/USD is 1.51.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
163
+ {"text": "The Date is 4/5/2010. The GLD is 110.89. The USO is 42.07. The SLV is 17.75. The EUR/USD is 1.34.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
164
+ {"text": "The Date is 3/7/2014. The GLD is 129.09. The USO is 36.78. The SLV is 20.08. The EUR/USD is 1.39.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
165
+ {"text": "The Date is 10/5/2016. The GLD is 120.78. The USO is 11.35. The SLV is 16.85. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
166
+ {"text": "The Date is 2/17/2012. The GLD is 167.35. The USO is 39.75. The SLV is 32.28. The EUR/USD is 1.31.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
167
+ {"text": "The Date is 5/3/2010. The GLD is 115.73. The USO is 41.46. The SLV is 18.42. The EUR/USD is 1.3.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
168
+ {"text": "The Date is 10/24/2017. The GLD is 121.33. The USO is 10.54. The SLV is 16.02. The EUR/USD is 1.18.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
169
+ {"text": "The Date is 9/21/2010. The GLD is 126.01. The USO is 32.65. The SLV is 20.59. The EUR/USD is 1.33.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
170
+ {"text": "The Date is 5/20/2014. The GLD is 124.69. The USO is 37.52. The SLV is 18.65. The EUR/USD is 1.37.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
171
+ {"text": "The Date is 4/28/2008. The GLD is 87.69. The USO is 95.69. The SLV is 16.84. The EUR/USD is 1.56.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
172
+ {"text": "The Date is 8/26/2009. The GLD is 92.79. The USO is 36.95. The SLV is 14.09. The EUR/USD is 1.44.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
173
+ {"text": "The Date is 12/9/2014. The GLD is 118.19. The USO is 24.2. The SLV is 16.32. The EUR/USD is 1.23.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
174
+ {"text": "The Date is 10/31/2011. The GLD is 167.34. The USO is 35.74. The SLV is 33.44. The EUR/USD is 1.41.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
175
+ {"text": "The Date is 5/11/2010. The GLD is 120.66. The USO is 36.76. The SLV is 18.95. The EUR/USD is 1.26.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
176
+ {"text": "The Date is 2/9/2009. The GLD is 88.32. The USO is 28.25. The SLV is 12.72. The EUR/USD is 1.3.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
177
+ {"text": "The Date is 8/8/2013. The GLD is 126.86. The USO is 36.84. The SLV is 19.6. The EUR/USD is 1.34.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
178
+ {"text": "The Date is 10/4/2016. The GLD is 120.97. The USO is 11.09. The SLV is 16.94. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
179
+ {"text": "The Date is 2/2/2011. The GLD is 130.45. The USO is 38.18. The SLV is 27.69. The EUR/USD is 1.38.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
180
+ {"text": "The Date is 1/5/2017. The GLD is 112.58. The USO is 11.7. The SLV is 15.76. The EUR/USD is 1.05.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
181
+ {"text": "The Date is 5/11/2011. The GLD is 146.54. The USO is 39.35. The SLV is 34.39. The EUR/USD is 1.42.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
182
+ {"text": "The Date is 2/5/2009. The GLD is 90.12. The USO is 28.81. The SLV is 12.75. The EUR/USD is 1.28.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
183
+ {"text": "The Date is 2/23/2011. The GLD is 137.51. The USO is 39.8. The SLV is 32.71. The EUR/USD is 1.37.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
184
+ {"text": "The Date is 9/9/2009. The GLD is 97.08. The USO is 36.94. The SLV is 16.06. The EUR/USD is 1.46.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
185
+ {"text": "The Date is 1/22/2008. The GLD is 88.17. The USO is 70.55. The SLV is 15.9. The EUR/USD is 1.46.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
186
+ {"text": "The Date is 11/14/2014. The GLD is 114.47. The USO is 28.83. The SLV is 15.63. The EUR/USD is 1.25.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
187
+ {"text": "The Date is 12/3/2009. The GLD is 118.7. The USO is 38.52. The SLV is 18.62. The EUR/USD is 1.51.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
188
+ {"text": "The Date is 4/9/2013. The GLD is 153.34. The USO is 33.64. The SLV is 27.03. The EUR/USD is 1.31.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
189
+ {"text": "The Date is 12/22/2009. The GLD is 106.17. The USO is 36.56. The SLV is 16.64. The EUR/USD is 1.43.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
190
+ {"text": "The Date is 3/23/2015. The GLD is 114.29. The USO is 16.78. The SLV is 16.3. The EUR/USD is 1.08.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
191
+ {"text": "The Date is 5/19/2014. The GLD is 124.58. The USO is 37.38. The SLV is 18.63. The EUR/USD is 1.37.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
192
+ {"text": "The Date is 7/16/2012. The GLD is 154.21. The USO is 33.12. The SLV is 26.49. The EUR/USD is 1.23.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
193
+ {"text": "The Date is 4/20/2017. The GLD is 121.96. The USO is 10.54. The SLV is 17.06. The EUR/USD is 1.07.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
194
+ {"text": "The Date is 5/24/2016. The GLD is 117.3. The USO is 11.82. The SLV is 15.42. The EUR/USD is 1.11.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
195
+ {"text": "The Date is 4/27/2010. The GLD is 114.63. The USO is 39.37. The SLV is 17.88. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
196
+ {"text": "The Date is 6/10/2010. The GLD is 118.97. The USO is 34.77. The SLV is 17.86. The EUR/USD is 1.21.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
197
+ {"text": "The Date is 10/1/2008. The GLD is 85.97. The USO is 79.59. The SLV is 12.33. The EUR/USD is 1.38.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
198
+ {"text": "The Date is 2/14/2011. The GLD is 132.95. The USO is 35.88. The SLV is 29.96. The EUR/USD is 1.35.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
199
+ {"text": "The Date is 3/30/2010. The GLD is 107.97. The USO is 39.95. The SLV is 16.95. The EUR/USD is 1.35.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
200
+ {"text": "The Date is 6/4/2009. The GLD is 96.23. The USO is 37.69. The SLV is 15.63. The EUR/USD is 1.4.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
201
+ {"text": "The Date is 5/4/2017. The GLD is 116.79. The USO is 9.46. The SLV is 15.43. The EUR/USD is 1.1.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
202
+ {"text": "The Date is 3/29/2011. The GLD is 138.21. The USO is 41.83. The SLV is 36.17. The EUR/USD is 1.41.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
203
+ {"text": "The Date is 12/1/2008. The GLD is 75.65. The USO is 39.89. The SLV is 9.18. The EUR/USD is 1.26.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
204
+ {"text": "The Date is 1/8/2014. The GLD is 118.12. The USO is 33.16. The SLV is 18.83. The EUR/USD is 1.36.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
205
+ {"text": "The Date is 12/1/2016. The GLD is 111.54. The USO is 11.33. The SLV is 15.66. The EUR/USD is 1.06.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
206
+ {"text": "The Date is 2/15/2008. The GLD is 89.15. The USO is 75.93. The SLV is 16.95. The EUR/USD is 1.47.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
207
+ {"text": "The Date is 3/14/2008. The GLD is 98.71. The USO is 86.51. The SLV is 20.42. The EUR/USD is 1.56.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
208
+ {"text": "The Date is 4/8/2010. The GLD is 112.65. The USO is 41.44. The SLV is 17.72. The EUR/USD is 1.35.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
209
+ {"text": "The Date is 6/1/2009. The GLD is 95.73. The USO is 37.43. The SLV is 15.35. The EUR/USD is 1.43.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
210
+ {"text": "The Date is 7/26/2012. The GLD is 156.77. The USO is 33.41. The SLV is 26.71. The EUR/USD is 1.23.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
211
+ {"text": "The Date is 5/6/2009. The GLD is 89.54. The USO is 31.43. The SLV is 13.52. The EUR/USD is 1.34.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
212
+ {"text": "The Date is 6/22/2016. The GLD is 120.9. The USO is 11.74. The SLV is 16.42. The EUR/USD is 1.13.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
213
+ {"text": "The Date is 1/12/2010. The GLD is 110.49. The USO is 39.63. The SLV is 17.91. The EUR/USD is 1.45.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
214
+ {"text": "The Date is 4/15/2009. The GLD is 87.5. The USO is 29.31. The SLV is 12.55. The EUR/USD is 1.32.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
215
+ {"text": "The Date is 11/1/2010. The GLD is 131.92. The USO is 35.81. The SLV is 24.07. The EUR/USD is 1.4.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
216
+ {"text": "The Date is 2/11/2015. The GLD is 117.07. The USO is 18.51. The SLV is 16.08. The EUR/USD is 1.13.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
217
+ {"text": "The Date is 12/22/2010. The GLD is 135.05. The USO is 38.64. The SLV is 28.57. The EUR/USD is 1.31.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
218
+ {"text": "The Date is 4/27/2011. The GLD is 149.2. The USO is 45.02. The SLV is 47.0. The EUR/USD is 1.48.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
219
+ {"text": "The Date is 5/31/2012. The GLD is 151.62. The USO is 32.61. The SLV is 26.96. The EUR/USD is 1.24.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
220
+ {"text": "The Date is 11/4/2008. The GLD is 75.48. The USO is 57.38. The SLV is 10.12. The EUR/USD is 1.3.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
221
+ {"text": "The Date is 3/28/2013. The GLD is 154.45. The USO is 34.75. The SLV is 27.42. The EUR/USD is 1.28.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
222
+ {"text": "The Date is 10/24/2013. The GLD is 129.9. The USO is 34.99. The SLV is 21.87. The EUR/USD is 1.38.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
223
+ {"text": "The Date is 6/26/2017. The GLD is 118.36. The USO is 8.93. The SLV is 15.68. The EUR/USD is 1.12.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
224
+ {"text": "The Date is 10/11/2012. The GLD is 171.32. The USO is 34.29. The SLV is 32.9. The EUR/USD is 1.29.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
225
+ {"text": "The Date is 4/22/2008. The GLD is 90.27. The USO is 95.08. The SLV is 17.48. The EUR/USD is 1.59.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
226
+ {"text": "The Date is 12/30/2010. The GLD is 137.03. The USO is 38.12. The SLV is 29.76. The EUR/USD is 1.32.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
227
+ {"text": "The Date is 5/1/2018. The GLD is 123.71. The USO is 13.61. The SLV is 15.24. The EUR/USD is 1.2.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
228
+ {"text": "The Date is 5/31/2011. The GLD is 149.64. The USO is 40.5. The SLV is 37.6. The EUR/USD is 1.44.", "label": "between 1239.87496925 and 1551.4349975", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
229
+ {"text": "The Date is 10/7/2010. The GLD is 130.37. The USO is 35.46. The SLV is 22.02. The EUR/USD is 1.39.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
230
+ {"text": "The Date is 11/22/2010. The GLD is 133.48. The USO is 35.05. The SLV is 27.17. The EUR/USD is 1.37.", "label": "less than 1239.87496925", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
231
+ {"text": "The Date is 9/18/2013. The GLD is 132.01. The USO is 38.68. The SLV is 22.31. The EUR/USD is 1.35.", "label": "between 1551.4349975 and 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
232
+ {"text": "The Date is 3/13/2018. The GLD is 125.78. The USO is 12.24. The SLV is 15.61. The EUR/USD is 1.23.", "label": "greater than 2073.0100705", "dataset": "altruistdelhite04-gold-price-data", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/altruistdelhite04-gold-price-data/train.csv ADDED
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classification/unipredict/altruistdelhite04-gold-price-data/train.jsonl ADDED
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classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/metadata.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "amirhosseinmirzaie-countries-life-expectancy",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Life expectancy",
8
+ "label_values": [
9
+ "between 72.2 and 75.8",
10
+ "less than 63.5",
11
+ "between 63.5 and 72.2",
12
+ "greater than 75.8"
13
+ ],
14
+ "num_labels": 4,
15
+ "train_samples": 2562,
16
+ "test_samples": 286,
17
+ "train_label_distribution": {
18
+ "between 63.5 and 72.2": 640,
19
+ "greater than 75.8": 646,
20
+ "less than 63.5": 639,
21
+ "between 72.2 and 75.8": 637
22
+ },
23
+ "test_label_distribution": {
24
+ "greater than 75.8": 72,
25
+ "less than 63.5": 71,
26
+ "between 63.5 and 72.2": 72,
27
+ "between 72.2 and 75.8": 71
28
+ }
29
+ }
classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/test.csv ADDED
@@ -0,0 +1,287 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Country,Year,Status,Population,Hepatitis B,Measles,Polio,Diphtheria,HIV/AIDS,infant deaths,under-five deaths,Total expenditure,GDP,BMI,thinness 1-19 years,Alcohol,Schooling,Life expectancy
2
+ Italy,2006,Developed,58143979.0,96.0,439,97.0,96.0,0.1,2,2,8.82,3341.75,58.8,0.5,8.44,16.0,greater than 75.8
3
+ Côte d'Ivoire,2012,Developing,,82.0,137,83.0,82.0,2.9,59,82,6.14,,26.2,5.9,3.24,,less than 63.5
4
+ Haiti,2001,Developing,8692567.0,,159,52.0,45.0,5.0,19,27,5.63,413.74,34.8,4.7,6.22,7.9,less than 63.5
5
+ Singapore,2010,Developed,,96.0,50,96.0,96.0,0.1,0,0,3.96,46569.68,31.8,2.1,1.84,14.5,greater than 75.8
6
+ Belarus,2014,Developing,9474511.0,97.0,64,97.0,97.0,0.1,0,0,5.69,8318.43,61.7,1.9,13.94,15.7,between 63.5 and 72.2
7
+ Liberia,2006,Developing,3375838.0,,20,66.0,6.0,3.0,11,15,1.9,178.93,22.4,8.1,4.05,10.0,less than 63.5
8
+ Barbados,2003,Developing,,91.0,0,9.0,89.0,0.4,0,0,5.82,1228.54,45.4,4.1,7.65,14.2,between 72.2 and 75.8
9
+ Burkina Faso,2000,Developing,1167942.0,,6074,45.0,45.0,4.0,48,92,5.6,226.48,12.2,11.4,3.71,3.4,less than 63.5
10
+ Dominican Republic,2007,Developing,954353.0,81.0,0,86.0,85.0,1.6,6,8,4.34,4647.31,5.4,3.4,6.05,12.7,between 72.2 and 75.8
11
+ Belize,2006,Developing,29747.0,98.0,0,98.0,98.0,0.6,0,0,4.4,4187.38,44.4,3.6,6.48,12.3,between 63.5 and 72.2
12
+ Greece,2015,Developing,182883.0,96.0,1,99.0,99.0,0.1,0,0,,187.79,66.5,0.8,,17.2,greater than 75.8
13
+ Iceland,2006,Developed,33782.0,,0,97.0,97.0,0.1,0,0,8.96,5613.54,57.4,0.9,7.2,18.1,greater than 75.8
14
+ Democratic People's Republic of Korea,2010,Developing,,93.0,0,99.0,93.0,0.1,8,10,,,3.3,5.2,3.12,,between 63.5 and 72.2
15
+ Guinea,2001,Developing,8971139.0,,7408,52.0,5.0,3.0,36,58,3.65,315.84,16.9,1.1,0.17,5.1,less than 63.5
16
+ Qatar,2010,Developing,,97.0,295,98.0,97.0,0.1,0,0,2.9,736.23,66.0,5.0,1.16,12.0,greater than 75.8
17
+ Bosnia and Herzegovina,2013,Developing,364999.0,91.0,0,87.0,89.0,0.1,0,0,9.46,535.87,54.7,2.4,4.12,14.2,greater than 75.8
18
+ Fiji,2013,Developing,879715.0,99.0,0,99.0,99.0,0.1,0,0,4.26,4763.69,61.1,4.0,0.01,15.0,between 63.5 and 72.2
19
+ Peru,2011,Developing,29759989.0,91.0,0,91.0,91.0,0.2,9,12,4.93,5771.57,52.9,1.1,4.83,13.4,between 72.2 and 75.8
20
+ Senegal,2013,Developing,141232.0,92.0,17,89.0,92.0,0.3,20,28,4.51,148.91,23.2,9.9,0.26,8.7,between 63.5 and 72.2
21
+ Angola,2002,Developing,17572649.0,,11945,37.0,41.0,2.3,96,157,3.63,711.18,16.3,1.5,2.82,5.5,less than 63.5
22
+ Eritrea,2014,Developing,,94.0,127,94.0,94.0,0.4,5,8,3.34,,18.0,8.5,0.01,5.0,between 63.5 and 72.2
23
+ Kyrgyzstan,2007,Developing,,94.0,40,94.0,94.0,0.1,4,4,6.87,,39.0,3.3,2.77,12.6,between 63.5 and 72.2
24
+ Maldives,2001,Developing,292.0,98.0,0,97.0,98.0,0.1,0,0,5.84,298.68,15.6,14.7,1.98,11.8,greater than 75.8
25
+ Congo,2008,Developing,,73.0,2,77.0,79.0,4.3,8,11,2.9,,23.3,8.4,2.58,10.0,less than 63.5
26
+ Slovenia,2003,Developed,1995733.0,,0,95.0,95.0,0.1,0,0,8.77,1488.47,52.9,2.0,11.58,16.1,greater than 75.8
27
+ Japan,2008,Developed,12863.0,,11015,98.0,98.0,0.1,3,4,8.6,39339.3,25.9,1.8,7.11,15.0,greater than 75.8
28
+ Bulgaria,2007,Developed,7545338.0,95.0,1,95.0,95.0,0.1,1,1,6.41,5932.9,6.9,2.1,10.89,13.5,between 72.2 and 75.8
29
+ Hungary,2008,Developed,138188.0,,0,99.0,99.0,0.1,1,1,7.33,15669.26,6.5,1.9,11.64,15.3,between 72.2 and 75.8
30
+ Republic of Korea,2015,Developing,,98.0,7,98.0,98.0,0.1,1,2,,,31.7,1.5,,,greater than 75.8
31
+ Central African Republic,2002,Developing,397612.0,,938,42.0,44.0,13.4,17,25,4.16,253.77,17.2,1.2,1.47,5.4,less than 63.5
32
+ New Zealand,2004,Developed,,88.0,33,87.0,89.0,0.1,0,0,7.89,2542.4,61.5,0.3,9.15,18.4,greater than 75.8
33
+ Serbia,2010,Developing,7291436.0,89.0,20,91.0,91.0,0.1,1,1,1.9,5411.88,57.0,2.2,9.65,13.6,between 72.2 and 75.8
34
+ Afghanistan,2008,Developing,2729431.0,64.0,1599,64.0,64.0,0.1,80,110,8.33,373.36,15.7,18.8,0.03,8.7,less than 63.5
35
+ Swaziland,2013,Developing,1271456.0,98.0,0,98.0,98.0,9.8,2,3,9.66,3598.76,31.2,4.5,0.01,11.4,less than 63.5
36
+ Japan,2009,Developed,12847.0,,741,99.0,97.0,0.1,3,4,9.51,4855.18,26.4,1.8,7.09,15.0,greater than 75.8
37
+ United Republic of Tanzania,2014,Developing,,97.0,88,97.0,97.0,1.4,86,121,5.58,,23.2,6.8,0.01,,between 63.5 and 72.2
38
+ United States of America,2013,Developed,,91.0,187,93.0,94.0,0.1,23,27,16.9,,68.6,0.7,8.82,,greater than 75.8
39
+ Sao Tome and Principe,2009,Developing,17813.0,98.0,0,99.0,98.0,0.9,0,0,6.65,199.57,26.2,6.3,4.13,10.1,between 63.5 and 72.2
40
+ Suriname,2010,Developing,52613.0,86.0,0,96.0,96.0,0.5,0,0,5.81,833.31,54.8,3.5,5.26,12.3,between 72.2 and 75.8
41
+ Uruguay,2012,Developing,3396777.0,95.0,0,95.0,95.0,0.1,0,0,8.74,1592.68,62.3,1.5,5.77,15.5,greater than 75.8
42
+ Serbia,2003,Developing,748591.0,,15,89.0,89.0,0.1,1,1,8.13,2832.5,52.8,2.7,7.25,13.0,between 72.2 and 75.8
43
+ Gabon,2007,Developing,1489193.0,75.0,0,78.0,81.0,10.0,2,3,2.86,8352.82,31.9,6.9,9.02,12.4,less than 63.5
44
+ Bulgaria,2012,Developed,735888.0,95.0,1,95.0,95.0,0.1,1,1,7.11,7378.26,63.9,1.9,10.99,14.3,between 72.2 and 75.8
45
+ Honduras,2013,Developing,8657785.0,97.0,0,97.0,97.0,0.4,4,4,9.15,2136.77,49.3,2.2,3.11,11.6,between 72.2 and 75.8
46
+ Sweden,2010,Developed,9378126.0,,6,98.0,98.0,0.1,0,0,9.47,5276.26,57.3,1.3,7.2,15.8,greater than 75.8
47
+ Syrian Arab Republic,2010,Developing,2118834.0,84.0,26,83.0,8.0,0.1,7,9,3.28,,52.3,6.4,0.78,11.7,between 72.2 and 75.8
48
+ Argentina,2010,Developing,41223889.0,94.0,17,95.0,94.0,0.1,10,11,6.55,1276.27,59.8,1.0,8.15,16.8,between 72.2 and 75.8
49
+ Gambia,2008,Developing,,98.0,0,96.0,96.0,3.0,3,6,5.95,,22.8,8.6,2.79,8.6,less than 63.5
50
+ Singapore,2004,Developed,,94.0,96,95.0,95.0,0.1,0,0,3.17,2745.27,29.9,2.1,1.45,12.7,greater than 75.8
51
+ Kazakhstan,2004,Developing,1512985.0,99.0,2204,99.0,82.0,0.1,8,9,3.95,2874.29,45.8,2.5,6.55,13.5,between 63.5 and 72.2
52
+ Central African Republic,2000,Developing,3754986.0,,3207,38.0,37.0,14.3,16,25,4.24,243.54,16.5,1.5,1.51,5.2,less than 63.5
53
+ Azerbaijan,2010,Developing,954332.0,8.0,0,85.0,81.0,0.1,5,6,5.33,5842.86,48.0,2.8,1.98,11.7,between 63.5 and 72.2
54
+ Lesotho,2012,Developing,289928.0,95.0,179,93.0,95.0,9.0,4,6,11.14,1281.52,3.8,6.4,0.01,11.0,less than 63.5
55
+ Togo,2010,Developing,652952.0,83.0,120,83.0,83.0,3.8,14,21,5.37,487.92,21.4,7.3,1.21,11.0,less than 63.5
56
+ Austria,2003,Developed,8121423.0,83.0,90,84.0,84.0,0.1,0,0,1.48,3212.94,51.7,1.7,12.2,14.7,greater than 75.8
57
+ Brazil,2006,Developing,18912412.0,99.0,57,99.0,99.0,0.1,70,79,8.36,586.15,48.6,3.1,7.1,13.8,between 72.2 and 75.8
58
+ Turkey,2015,Developing,78271472.0,97.0,342,97.0,97.0,0.1,15,18,,1979.53,66.1,4.9,,14.5,greater than 75.8
59
+ Togo,2005,Developing,5683268.0,,38,8.0,82.0,5.0,15,22,5.17,372.17,18.9,8.4,1.14,10.1,less than 63.5
60
+ Cuba,2010,Developing,,96.0,0,99.0,96.0,0.1,1,1,1.19,5676.14,57.7,3.4,4.13,17.6,greater than 75.8
61
+ Kuwait,2009,Developing,,99.0,0,99.0,99.0,0.1,1,1,3.87,37567.31,67.9,3.3,0.1,13.6,between 72.2 and 75.8
62
+ Liberia,2008,Developing,3662993.0,64.0,1,79.0,75.0,2.4,10,14,11.83,232.62,23.4,7.7,3.88,9.8,less than 63.5
63
+ Republic of Moldova,2012,Developing,,94.0,11,92.0,92.0,0.1,1,1,11.87,,51.5,2.7,10.68,,greater than 75.8
64
+ Czechia,2012,Developed,,99.0,22,99.0,99.0,0.1,0,0,7.55,,64.5,1.8,12.71,,greater than 75.8
65
+ Lao People's Democratic Republic,2013,Developing,,87.0,71,86.0,87.0,0.3,9,12,2.0,,2.1,9.0,0.01,10.4,between 63.5 and 72.2
66
+ Sweden,2007,Developed,914892.0,,1,98.0,98.0,0.1,0,0,8.92,53324.38,56.1,1.3,6.9,15.8,greater than 75.8
67
+ South Africa,2004,Developing,4717.99,76.0,830,73.0,74.0,29.7,55,83,7.93,4863.52,42.9,12.6,6.96,12.9,less than 63.5
68
+ Eritrea,2010,Developing,43984.0,9.0,51,9.0,9.0,0.9,6,9,3.24,482.15,16.0,8.9,0.61,5.1,less than 63.5
69
+ Rwanda,2000,Developing,82573.0,,2095,9.0,9.0,8.5,34,57,4.22,216.17,13.2,7.6,7.13,6.6,less than 63.5
70
+ Timor-Leste,2000,Developing,87167.0,,0,,,0.1,3,4,3.26,422.29,11.9,12.2,0.5,0.0,less than 63.5
71
+ Rwanda,2012,Developing,1788853.0,98.0,75,98.0,98.0,0.7,13,18,7.68,678.8,19.5,6.1,0.01,10.5,between 63.5 and 72.2
72
+ Belize,2012,Developing,33671.0,98.0,0,98.0,98.0,0.1,0,0,5.45,4673.64,48.5,3.5,6.66,12.5,between 63.5 and 72.2
73
+ Haiti,2003,Developing,8976552.0,,0,56.0,53.0,4.6,18,25,5.32,329.78,36.5,4.5,6.64,8.1,less than 63.5
74
+ Bulgaria,2004,Developed,771686.0,94.0,0,94.0,95.0,0.1,1,1,7.9,3381.58,59.1,2.3,10.96,13.3,between 72.2 and 75.8
75
+ Dominican Republic,2008,Developing,963652.0,81.0,0,86.0,82.0,1.4,6,8,4.2,511.38,51.5,3.4,6.12,12.8,between 72.2 and 75.8
76
+ Israel,2015,Developing,8381.0,96.0,80,95.0,95.0,0.1,0,1,,35729.37,64.9,1.2,,16.0,greater than 75.8
77
+ Afghanistan,2001,Developing,2966463.0,63.0,8762,35.0,33.0,0.1,88,122,7.8,117.5,12.6,2.1,0.01,5.9,less than 63.5
78
+ Peru,2004,Developing,27273194.0,92.0,0,81.0,86.0,0.4,14,18,4.56,2448.14,48.1,1.3,4.27,12.8,between 72.2 and 75.8
79
+ Namibia,2004,Developing,29228.0,,4,81.0,81.0,24.0,3,4,6.47,3288.26,27.2,13.7,4.8,11.7,less than 63.5
80
+ Madagascar,2014,Developing,2358981.0,73.0,3,73.0,73.0,0.3,29,39,3.4,452.46,2.0,7.2,0.01,10.3,between 63.5 and 72.2
81
+ United Arab Emirates,2012,Developing,,96.0,132,96.0,96.0,0.1,1,1,3.45,42112.24,58.6,5.1,1.75,13.3,greater than 75.8
82
+ Ukraine,2000,Developing,49175848.0,4.0,817,99.0,99.0,0.7,6,8,5.59,635.79,54.8,3.0,4.49,13.3,between 63.5 and 72.2
83
+ Finland,2004,Developing,5228172.0,,0,96.0,98.0,0.1,0,0,8.21,37636.11,57.6,0.9,9.89,18.3,greater than 75.8
84
+ Colombia,2002,Developing,41572491.0,78.0,139,83.0,81.0,0.1,17,20,5.67,2355.73,48.2,2.5,4.45,11.5,between 63.5 and 72.2
85
+ Central African Republic,2010,Developing,4448525.0,45.0,2,46.0,45.0,6.6,17,24,3.9,446.44,2.2,9.0,1.67,6.6,less than 63.5
86
+ Slovakia,2013,Developed,,98.0,0,98.0,98.0,0.1,0,0,8.0,,57.8,1.2,9.89,15.0,greater than 75.8
87
+ Lebanon,2014,Developing,563279.0,81.0,112,75.0,81.0,0.1,1,1,6.39,8161.46,65.4,4.8,1.32,13.3,between 72.2 and 75.8
88
+ Myanmar,2009,Developing,49869.0,91.0,329,9.0,9.0,0.6,52,69,2.5,741.78,19.1,13.1,0.28,8.5,between 63.5 and 72.2
89
+ Switzerland,2000,Developed,718425.0,,0,95.0,93.0,0.1,0,0,9.91,37813.23,5.8,0.7,11.26,15.1,greater than 75.8
90
+ Malaysia,2011,Developing,28635128.0,96.0,1569,96.0,96.0,0.1,3,4,3.89,145.13,36.3,8.0,0.51,13.0,between 72.2 and 75.8
91
+ Niger,2009,Developing,15813913.0,71.0,801,71.0,71.0,1.1,51,99,6.98,341.29,16.9,11.0,0.11,4.2,less than 63.5
92
+ Turkmenistan,2006,Developing,48115.0,98.0,48,98.0,98.0,0.1,6,8,2.9,2136.67,41.3,3.3,2.71,10.4,between 63.5 and 72.2
93
+ South Sudan,2002,Developing,7237276.0,,0,,,3.3,30,48,,,,,,0.0,less than 63.5
94
+ Costa Rica,2000,Developing,3925443.0,89.0,0,8.0,88.0,0.1,1,1,7.12,388.36,45.4,2.4,4.34,11.6,greater than 75.8
95
+ Jamaica,2009,Developing,28482.0,9.0,0,9.0,9.0,0.6,1,1,5.16,4293.38,49.7,1.9,3.33,12.7,between 72.2 and 75.8
96
+ Tajikistan,2008,Developing,739728.0,86.0,0,87.0,86.0,0.3,10,12,5.58,76.91,35.3,3.8,0.32,10.8,between 63.5 and 72.2
97
+ Brazil,2008,Developing,19297929.0,96.0,0,99.0,99.0,0.1,61,68,8.24,8787.61,5.3,3.0,7.21,13.3,between 72.2 and 75.8
98
+ Armenia,2004,Developing,3612.0,91.0,1783,93.0,91.0,0.1,1,1,5.5,1191.96,48.4,2.0,3.81,10.9,between 72.2 and 75.8
99
+ United States of America,2006,Developed,,93.0,55,93.0,96.0,0.1,28,33,15.27,,64.4,0.7,8.63,,greater than 75.8
100
+ Belize,2004,Developing,27689.0,97.0,0,97.0,97.0,0.8,0,0,4.39,3831.54,43.2,3.6,6.2,12.5,between 63.5 and 72.2
101
+ United Kingdom of Great Britain and Northern Ireland,2010,Developed,,,443,94.0,94.0,0.1,3,4,9.51,,63.6,0.8,10.88,,greater than 75.8
102
+ Mali,2001,Developing,11293258.0,,4464,56.0,49.0,2.4,60,110,6.39,36.85,16.1,1.8,0.51,4.6,less than 63.5
103
+ Liberia,2010,Developing,3948125.0,47.0,2200,71.0,7.0,1.8,9,13,11.87,327.43,24.5,7.4,3.64,9.6,less than 63.5
104
+ Swaziland,2006,Developing,112514.0,93.0,0,88.0,87.0,43.7,3,4,6.81,2937.37,28.2,6.9,5.53,9.9,less than 63.5
105
+ Hungary,2007,Developed,15578.0,,0,99.0,99.0,0.1,1,1,7.51,13842.65,59.9,1.9,12.55,15.3,between 72.2 and 75.8
106
+ Pakistan,2011,Developing,174184265.0,74.0,4386,75.0,74.0,0.1,371,459,3.1,1226.22,22.5,2.0,0.04,7.5,between 63.5 and 72.2
107
+ Costa Rica,2013,Developing,47641.0,94.0,0,95.0,95.0,0.1,1,1,9.47,1569.67,58.5,1.7,3.42,13.7,greater than 75.8
108
+ United Arab Emirates,2011,Developing,,95.0,0,95.0,95.0,0.1,1,1,3.7,4462.31,57.1,5.1,1.73,13.3,greater than 75.8
109
+ Nicaragua,2015,Developing,68235.0,98.0,0,99.0,98.0,0.1,2,2,,295.97,54.0,1.8,,11.7,between 72.2 and 75.8
110
+ France,2006,Developing,63621376.0,39.0,40,99.0,99.0,0.1,3,4,1.53,36544.59,58.0,0.6,12.4,16.1,greater than 75.8
111
+ Tunisia,2014,Developing,1114398.0,98.0,15,98.0,98.0,0.1,3,3,7.0,4271.68,6.2,6.5,1.39,14.7,between 72.2 and 75.8
112
+ Netherlands,2002,Developed,16148929.0,,3,97.0,97.0,0.1,1,1,8.34,28817.32,53.4,1.1,9.68,16.9,greater than 75.8
113
+ Jamaica,2008,Developing,279122.0,92.0,2,91.0,91.0,0.4,1,1,5.4,492.49,48.9,1.9,3.51,12.6,between 72.2 and 75.8
114
+ Thailand,2006,Developing,65824164.0,96.0,3588,98.0,98.0,0.5,13,15,3.49,3368.95,23.6,8.7,6.18,12.4,between 72.2 and 75.8
115
+ Belarus,2005,Developing,9663915.0,99.0,1,98.0,99.0,0.1,1,1,6.89,3126.72,56.7,2.3,11.01,14.4,between 63.5 and 72.2
116
+ Democratic People's Republic of Korea,2015,Developing,,96.0,0,99.0,96.0,0.1,6,7,,,32.9,4.9,,,greater than 75.8
117
+ Ukraine,2006,Developing,4678775.0,96.0,42724,99.0,98.0,0.8,5,6,6.39,233.19,56.8,2.6,7.99,14.7,between 63.5 and 72.2
118
+ Benin,2003,Developing,752555.0,73.0,217,75.0,73.0,2.1,25,40,4.63,519.29,19.7,9.1,1.35,7.7,less than 63.5
119
+ United States of America,2001,Developed,,89.0,116,89.0,94.0,0.1,28,33,13.73,,6.9,0.8,8.25,,greater than 75.8
120
+ Tonga,2007,Developing,12357.0,87.0,0,88.0,87.0,0.1,0,0,5.82,2932.32,7.8,0.1,2.05,14.5,between 72.2 and 75.8
121
+ Bhutan,2009,Developing,714458.0,93.0,6,93.0,93.0,0.4,1,1,6.3,177.23,19.5,16.8,0.17,10.9,between 63.5 and 72.2
122
+ Croatia,2006,Developed,444.0,,1,96.0,96.0,0.1,0,0,6.95,11363.42,58.1,1.8,11.83,13.9,greater than 75.8
123
+ Viet Nam,2007,Developing,,67.0,17,92.0,92.0,0.2,28,35,6.9,,12.3,14.9,3.01,11.4,between 72.2 and 75.8
124
+ Fiji,2001,Developing,814218.0,98.0,17,92.0,91.0,0.1,0,0,3.28,238.89,51.2,4.3,1.93,13.2,between 63.5 and 72.2
125
+ Algeria,2011,Developing,36819558.0,95.0,112,95.0,95.0,0.1,21,24,5.29,5432.25,55.0,5.9,0.56,14.0,between 72.2 and 75.8
126
+ Mozambique,2000,Developing,1867687.0,,7375,69.0,7.0,12.2,93,136,6.16,277.65,16.5,4.2,1.14,5.4,less than 63.5
127
+ Estonia,2001,Developing,1388115.0,,0,94.0,94.0,0.1,0,0,4.85,4498.96,54.3,2.4,0.01,15.0,greater than 75.8
128
+ Timor-Leste,2011,Developing,1131523.0,67.0,763,66.0,67.0,0.1,2,3,0.76,114.56,15.8,11.3,0.5,12.5,between 63.5 and 72.2
129
+ Syrian Arab Republic,2006,Developing,18914977.0,83.0,517,83.0,8.0,0.1,8,10,3.78,1762.25,48.5,6.4,0.97,11.4,between 72.2 and 75.8
130
+ Seychelles,2000,Developing,81131.0,98.0,0,98.0,98.0,0.1,0,0,4.62,7578.85,27.1,6.3,8.24,12.3,between 63.5 and 72.2
131
+ Jamaica,2004,Developing,2728777.0,98.0,0,97.0,98.0,2.3,1,1,4.8,3719.97,45.4,1.9,3.67,11.1,between 72.2 and 75.8
132
+ United Arab Emirates,2015,Developing,,99.0,347,99.0,99.0,0.1,1,1,,3911.75,64.2,5.3,,13.3,greater than 75.8
133
+ Ghana,2005,Developing,215429.0,84.0,435,85.0,84.0,3.1,41,62,4.51,498.17,22.4,8.1,1.5,8.1,less than 63.5
134
+ Singapore,2000,Developed,,97.0,141,98.0,98.0,0.1,0,0,2.71,23792.68,28.5,2.1,2.03,12.5,greater than 75.8
135
+ South Africa,2000,Developing,44896856.0,73.0,1459,71.0,73.0,21.3,51,73,8.7,337.23,4.1,16.3,7.3,13.0,less than 63.5
136
+ Timor-Leste,2015,Developing,124977.0,76.0,43,75.0,76.0,0.1,2,2,,1161.77,17.4,1.9,,12.5,between 63.5 and 72.2
137
+ Bahamas,2000,Developing,,,0,91.0,99.0,0.1,0,0,5.21,,54.4,2.7,12.15,12.0,between 72.2 and 75.8
138
+ Rwanda,2013,Developing,1165151.0,98.0,17,98.0,98.0,0.5,12,17,7.69,688.88,2.1,5.9,0.01,10.8,between 63.5 and 72.2
139
+ The former Yugoslav republic of Macedonia,2001,Developing,,,27,91.0,91.0,0.1,0,0,8.18,,53.2,2.8,3.27,11.8,between 72.2 and 75.8
140
+ Peru,2008,Developing,2864198.0,93.0,1,93.0,93.0,0.3,11,14,4.73,428.88,5.8,1.2,4.85,13.2,between 72.2 and 75.8
141
+ Greece,2014,Developing,1892413.0,96.0,1,99.0,99.0,0.1,0,0,8.8,21673.78,66.0,0.8,7.53,17.2,greater than 75.8
142
+ New Zealand,2008,Developed,,9.0,0,89.0,89.0,0.1,0,0,1.7,31287.78,63.8,0.3,9.49,19.5,greater than 75.8
143
+ The former Yugoslav republic of Macedonia,2005,Developing,,53.0,5,98.0,97.0,0.1,0,0,7.95,,54.9,2.5,1.75,11.9,between 72.2 and 75.8
144
+ Maldives,2003,Developing,34.0,98.0,75,98.0,98.0,0.1,0,0,5.9,3432.25,16.7,14.6,1.75,11.8,between 72.2 and 75.8
145
+ Liberia,2002,Developing,362863.0,,131,51.0,39.0,3.1,13,19,5.43,177.29,2.7,8.8,4.27,10.4,less than 63.5
146
+ Tunisia,2015,Developing,11273661.0,98.0,16,98.0,98.0,0.1,3,3,,3828.92,61.2,6.5,,14.6,between 72.2 and 75.8
147
+ Guinea-Bissau,2006,Developing,1412669.0,,0,74.0,71.0,5.6,5,8,5.87,418.94,2.7,8.9,3.22,8.3,less than 63.5
148
+ Jordan,2002,Developing,5287488.0,95.0,19,95.0,95.0,0.1,4,4,9.68,1812.29,55.5,3.9,0.54,13.0,between 63.5 and 72.2
149
+ Bhutan,2004,Developing,64282.0,89.0,3,9.0,89.0,0.3,1,1,4.41,197.46,16.1,18.0,0.96,8.8,between 63.5 and 72.2
150
+ Luxembourg,2002,Developed,446175.0,95.0,0,99.0,99.0,0.1,0,0,8.27,5293.64,55.2,1.0,12.91,13.5,greater than 75.8
151
+ Albania,2002,Developing,3511.0,96.0,16,98.0,98.0,0.1,1,1,6.3,1453.64,46.9,2.0,3.73,10.7,between 72.2 and 75.8
152
+ Philippines,2008,Developing,9751864.0,88.0,341,91.0,91.0,0.1,60,78,4.5,1919.47,21.6,1.0,4.21,11.5,between 63.5 and 72.2
153
+ Madagascar,2005,Developing,18336724.0,81.0,0,8.0,85.0,0.6,37,56,5.3,274.82,15.8,8.1,0.72,8.9,between 63.5 and 72.2
154
+ Estonia,2007,Developing,13468.0,95.0,1,95.0,95.0,0.1,0,0,5.16,16586.45,56.3,2.0,17.87,16.1,between 72.2 and 75.8
155
+ Democratic Republic of the Congo,2008,Developing,,65.0,12461,64.0,65.0,1.8,237,324,4.46,,18.2,1.8,2.09,,less than 63.5
156
+ Republic of Moldova,2007,Developing,,95.0,10,93.0,92.0,0.1,1,1,1.88,,49.1,3.0,9.66,,between 63.5 and 72.2
157
+ Ukraine,2007,Developing,465935.0,92.0,1005,98.0,98.0,0.7,5,6,6.36,368.69,57.2,2.5,8.86,14.8,between 63.5 and 72.2
158
+ Sudan,2001,Developing,279455.0,,4362,66.0,66.0,0.2,71,108,2.96,377.53,,,1.81,5.6,less than 63.5
159
+ Fiji,2004,Developing,818354.0,99.0,37,96.0,95.0,0.1,0,0,3.61,3332.92,54.2,4.2,1.63,13.4,between 63.5 and 72.2
160
+ Slovenia,2001,Developed,19926.0,,0,93.0,92.0,0.1,0,0,8.57,1479.3,51.8,2.2,10.8,14.7,greater than 75.8
161
+ Czechia,2002,Developed,,86.0,4,97.0,98.0,0.1,0,0,6.8,,59.9,2.2,13.47,,between 72.2 and 75.8
162
+ Qatar,2002,Developing,,98.0,34,96.0,96.0,0.1,0,0,2.71,2999.65,64.1,4.8,0.87,12.2,greater than 75.8
163
+ Saint Vincent and the Grenadines,2000,Developing,,,0,99.0,98.0,0.7,0,0,3.73,,4.1,4.0,4.8,12.7,greater than 75.8
164
+ Gabon,2010,Developing,16421.0,67.0,1,68.0,67.0,7.0,2,3,3.41,8754.11,33.5,6.5,8.85,12.5,less than 63.5
165
+ Netherlands,2010,Developed,16615394.0,,15,97.0,97.0,0.1,1,1,1.48,5338.25,59.3,1.0,9.33,17.0,greater than 75.8
166
+ Democratic Republic of the Congo,2013,Developing,,74.0,88381,74.0,74.0,1.2,238,314,3.89,,2.6,9.9,0.01,,less than 63.5
167
+ Mexico,2010,Developing,117318941.0,93.0,0,95.0,95.0,0.1,35,40,6.39,8959.58,6.1,1.6,5.21,12.5,between 72.2 and 75.8
168
+ Qatar,2004,Developing,,97.0,29,95.0,96.0,0.1,0,0,3.61,41818.35,65.0,4.8,1.11,13.5,greater than 75.8
169
+ Bangladesh,2013,Developing,157571292.0,96.0,237,96.0,96.0,0.1,104,130,2.88,951.89,17.0,18.3,0.01,10.0,between 63.5 and 72.2
170
+ Panama,2002,Developing,3149265.0,98.0,0,99.0,99.0,0.2,1,2,8.3,4126.15,47.8,2.3,5.52,12.6,between 72.2 and 75.8
171
+ Czechia,2005,Developed,,99.0,0,96.0,97.0,0.1,0,0,6.93,,61.3,2.1,13.19,,greater than 75.8
172
+ Malta,2002,Developed,395969.0,,7,95.0,95.0,0.1,0,0,7.86,11843.94,63.4,0.7,5.73,13.8,greater than 75.8
173
+ Cameroon,2005,Developing,1742795.0,79.0,605,79.0,8.0,7.4,58,93,4.75,952.19,23.3,6.9,5.03,8.3,less than 63.5
174
+ Jamaica,2015,Developing,2871934.0,91.0,0,91.0,91.0,0.5,1,1,,4965.99,54.2,1.8,,12.8,greater than 75.8
175
+ Brazil,2005,Developing,186917361.0,98.0,6,99.0,99.0,0.1,75,85,8.27,477.18,47.8,3.2,6.97,13.8,between 72.2 and 75.8
176
+ Tajikistan,2006,Developing,7557.0,88.0,3,76.0,83.0,0.3,10,12,5.7,44.29,34.1,3.8,0.38,10.7,between 63.5 and 72.2
177
+ Tunisia,2005,Developing,112482.0,97.0,15,98.0,98.0,0.1,3,4,5.57,3194.56,52.2,6.4,1.37,13.9,between 72.2 and 75.8
178
+ Togo,2006,Developing,5837792.0,,26,85.0,84.0,5.0,15,22,5.56,377.34,19.3,8.1,1.37,10.2,less than 63.5
179
+ Paraguay,2007,Developing,5966159.0,86.0,0,95.0,95.0,0.1,3,4,6.41,2312.19,44.2,2.2,5.61,12.0,between 72.2 and 75.8
180
+ Mauritania,2005,Developing,31372.0,42.0,127,71.0,71.0,1.3,8,12,4.21,697.75,24.2,9.8,0.01,7.2,between 63.5 and 72.2
181
+ Malta,2005,Developed,43834.0,85.0,6,94.0,92.0,0.1,0,0,8.83,15835.35,65.0,0.7,6.41,14.8,greater than 75.8
182
+ Canada,2008,Developing,33245773.0,28.0,62,89.0,92.0,0.1,2,2,1.3,46596.34,63.0,0.5,8.3,15.8,greater than 75.8
183
+ Libya,2003,Developing,,96.0,0,95.0,95.0,0.1,3,3,4.6,4676.97,54.6,5.6,0.01,16.0,between 63.5 and 72.2
184
+ Germany,2009,Developed,819237.0,88.0,574,95.0,96.0,0.1,2,3,11.4,41732.77,59.5,1.1,11.22,16.7,greater than 75.8
185
+ Poland,2012,Developed,3863164.0,97.0,71,95.0,99.0,0.1,2,2,6.62,13145.15,59.7,2.0,10.81,15.3,greater than 75.8
186
+ Djibouti,2010,Developing,851146.0,88.0,7,88.0,88.0,3.1,1,2,8.84,1326.0,32.2,5.6,0.44,5.5,less than 63.5
187
+ Grenada,2014,Developing,,97.0,0,81.0,97.0,0.1,0,0,6.1,8569.78,47.4,3.8,8.42,15.8,between 72.2 and 75.8
188
+ Colombia,2009,Developing,45416181.0,92.0,0,92.0,92.0,0.1,13,15,7.1,5148.42,53.5,2.2,4.34,12.4,between 72.2 and 75.8
189
+ New Zealand,2007,Developed,,88.0,25,88.0,88.0,0.1,0,0,8.35,3259.73,63.2,0.3,9.19,19.2,greater than 75.8
190
+ Saint Vincent and the Grenadines,2014,Developing,,98.0,0,97.0,98.0,0.1,0,0,8.63,,53.1,3.5,7.01,13.3,between 72.2 and 75.8
191
+ Croatia,2015,Developed,42364.0,94.0,206,94.0,94.0,0.1,0,0,,11579.67,63.7,1.5,,15.3,greater than 75.8
192
+ Trinidad and Tobago,2004,Developing,129535.0,94.0,0,94.0,94.0,1.0,0,0,5.22,129.52,36.8,6.3,5.82,12.2,between 63.5 and 72.2
193
+ Timor-Leste,2013,Developing,1184366.0,82.0,4,82.0,82.0,0.1,2,2,1.29,117.77,16.6,11.1,0.01,12.5,between 63.5 and 72.2
194
+ Saint Vincent and the Grenadines,2005,Developing,,99.0,0,93.0,99.0,0.2,0,0,3.66,,44.7,3.7,6.04,13.3,between 63.5 and 72.2
195
+ Turkmenistan,2000,Developing,4516131.0,,113,98.0,97.0,0.1,7,9,3.94,643.18,37.5,3.6,2.9,0.0,between 63.5 and 72.2
196
+ Armenia,2008,Developing,29822.0,89.0,0,91.0,89.0,0.1,1,1,3.8,41.27,5.1,2.0,3.96,12.3,between 72.2 and 75.8
197
+ Micronesia (Federated States of),2002,Developing,,85.0,0,84.0,84.0,0.1,0,0,8.2,,62.4,0.2,2.78,10.2,between 63.5 and 72.2
198
+ Mauritania,2001,Developing,279729.0,,1398,75.0,75.0,1.2,7,12,4.34,464.23,21.7,1.7,0.01,6.5,less than 63.5
199
+ Lebanon,2006,Developing,45735.0,78.0,956,75.0,78.0,0.1,1,1,8.83,5372.66,61.4,4.7,1.82,13.2,between 72.2 and 75.8
200
+ Rwanda,2006,Developing,92658.0,99.0,494,99.0,99.0,6.2,22,34,1.2,342.37,15.9,6.8,6.88,9.3,less than 63.5
201
+ Maldives,2014,Developing,41.0,99.0,0,99.0,99.0,0.1,0,0,13.73,7716.24,26.2,13.6,0.01,12.7,greater than 75.8
202
+ Iceland,2005,Developed,296734.0,,0,95.0,95.0,0.1,0,0,9.21,56249.76,56.9,0.9,7.05,17.9,greater than 75.8
203
+ Brunei Darussalam,2012,Developing,,99.0,1,99.0,99.0,0.1,0,0,2.3,47651.26,38.2,5.8,0.01,14.4,greater than 75.8
204
+ Mauritania,2000,Developing,279359.0,,0,58.0,51.0,1.1,7,11,5.26,477.48,21.1,1.9,0.03,6.4,less than 63.5
205
+ Albania,2005,Developing,311487.0,98.0,6,97.0,98.0,0.1,1,1,6.12,279.14,49.9,1.8,5.16,10.8,between 72.2 and 75.8
206
+ Germany,2004,Developed,8251626.0,88.0,121,96.0,96.0,0.1,3,3,1.37,34165.93,57.1,1.1,11.83,16.4,greater than 75.8
207
+ Nigeria,2004,Developing,135393616.0,,31521,43.0,33.0,5.4,563,907,4.33,648.82,18.8,13.2,9.76,8.5,less than 63.5
208
+ Panama,2012,Developing,3772938.0,85.0,0,87.0,85.0,0.1,1,1,7.25,1589.83,55.6,1.9,6.95,12.8,greater than 75.8
209
+ Bosnia and Herzegovina,2011,Developing,3688865.0,88.0,10,89.0,88.0,0.1,0,0,9.71,55.16,53.7,2.6,4.64,13.4,greater than 75.8
210
+ Lithuania,2014,Developed,2932367.0,94.0,11,93.0,93.0,0.1,0,0,6.55,16554.97,61.9,2.6,15.19,16.5,between 72.2 and 75.8
211
+ Yemen,2011,Developing,,69.0,2676,69.0,69.0,0.1,35,45,5.4,,37.9,13.7,0.04,8.6,between 63.5 and 72.2
212
+ Benin,2007,Developing,8454791.0,82.0,341,82.0,82.0,2.0,25,39,4.55,76.54,21.5,8.3,1.12,8.9,less than 63.5
213
+ Comoros,2011,Developing,76569.0,83.0,3,85.0,83.0,0.2,2,2,6.1,829.76,22.1,7.0,0.12,10.6,less than 63.5
214
+ Russian Federation,2009,Developing,142785342.0,98.0,101,98.0,98.0,0.3,15,18,7.44,8562.9,57.0,2.3,11.21,14.0,between 63.5 and 72.2
215
+ Belize,2008,Developing,36165.0,94.0,0,94.0,94.0,0.1,0,0,5.9,447.23,45.7,3.5,7.22,12.8,between 63.5 and 72.2
216
+ Kazakhstan,2015,Developing,17544126.0,98.0,526,98.0,98.0,0.1,4,5,,159.98,53.1,2.4,,15.0,between 63.5 and 72.2
217
+ South Africa,2009,Developing,5255813.11,74.0,5857,75.0,76.0,19.0,46,70,8.39,5888.63,46.4,8.1,7.6,12.8,less than 63.5
218
+ The former Yugoslav republic of Macedonia,2006,Developing,,89.0,3,92.0,93.0,0.1,0,0,7.61,,55.4,2.5,1.74,12.1,between 72.2 and 75.8
219
+ El Salvador,2012,Developing,6221246.0,92.0,0,93.0,92.0,0.3,2,2,6.7,3827.79,54.1,1.6,2.48,13.2,between 72.2 and 75.8
220
+ United Arab Emirates,2000,Developing,,92.0,69,94.0,94.0,0.1,1,1,2.38,3371.27,54.1,5.4,1.64,11.8,between 72.2 and 75.8
221
+ Ecuador,2013,Developing,15661547.0,87.0,0,87.0,87.0,0.1,6,8,7.29,674.98,52.8,1.3,3.77,13.4,greater than 75.8
222
+ Slovakia,2000,Developed,,98.0,0,98.0,99.0,0.1,0,1,5.5,,5.7,1.6,11.06,13.0,between 72.2 and 75.8
223
+ Timor-Leste,2006,Developing,148621.0,,90,62.0,63.0,0.1,2,3,0.65,441.53,13.9,11.9,0.04,11.0,between 63.5 and 72.2
224
+ Indonesia,2014,Developing,255131116.0,78.0,12943,8.0,78.0,0.3,119,142,2.85,3491.6,26.5,1.4,0.09,12.9,between 63.5 and 72.2
225
+ Uzbekistan,2005,Developing,26167.0,99.0,737,99.0,99.0,0.3,24,28,5.11,546.78,37.5,3.2,1.78,11.7,between 63.5 and 72.2
226
+ Grenada,2003,Developing,,97.0,0,98.0,97.0,0.1,0,0,5.89,5773.74,39.4,4.0,9.75,14.6,between 63.5 and 72.2
227
+ Kuwait,2001,Developing,,99.0,0,99.0,99.0,0.1,0,1,3.61,1654.97,64.5,3.2,0.01,14.0,between 72.2 and 75.8
228
+ Gabon,2004,Developing,136425.0,,63,44.0,45.0,11.1,2,3,3.26,5685.58,3.3,7.4,8.13,12.3,less than 63.5
229
+ United Kingdom of Great Britain and Northern Ireland,2013,Developed,,,1919,95.0,95.0,0.1,3,4,9.34,,65.4,0.8,10.32,,greater than 75.8
230
+ Tajikistan,2015,Developing,8548651.0,96.0,3,96.0,96.0,0.2,10,11,,918.68,4.7,3.6,,11.3,between 63.5 and 72.2
231
+ Senegal,2012,Developing,1373513.0,91.0,46,83.0,91.0,0.4,20,29,4.31,136.45,22.7,1.0,0.28,8.3,between 63.5 and 72.2
232
+ Greece,2008,Developing,1177841.0,95.0,1,99.0,99.0,0.1,0,0,9.76,31997.28,62.4,0.8,9.51,15.9,greater than 75.8
233
+ Russian Federation,2001,Developing,14597683.0,43.0,2072,97.0,96.0,0.3,21,25,5.67,21.36,54.2,2.8,10.47,12.5,between 63.5 and 72.2
234
+ Dominican Republic,2003,Developing,896776.0,79.0,0,65.0,79.0,2.3,7,8,5.53,2372.63,46.1,3.6,6.32,12.4,between 72.2 and 75.8
235
+ Albania,2009,Developing,2927519.0,98.0,0,98.0,98.0,0.1,1,1,5.79,4114.14,53.5,1.5,5.79,12.2,greater than 75.8
236
+ Bolivia (Plurinational State of),2001,Developing,,77.0,0,71.0,71.0,0.1,14,19,6.31,,43.3,1.5,2.2,13.7,less than 63.5
237
+ Samoa,2001,Developing,175566.0,89.0,0,83.0,85.0,0.1,0,0,5.16,1555.47,66.5,0.2,3.43,12.0,between 72.2 and 75.8
238
+ Afghanistan,2011,Developing,2978599.0,68.0,3013,68.0,68.0,0.1,71,97,7.87,63.54,17.2,18.2,0.01,9.5,less than 63.5
239
+ Syrian Arab Republic,2009,Developing,2824893.0,84.0,22,83.0,8.0,0.1,7,9,3.55,,51.3,6.4,0.81,11.8,between 72.2 and 75.8
240
+ Panama,2005,Developing,333465.0,92.0,0,88.0,92.0,0.1,1,2,7.48,4916.55,5.3,2.1,5.53,12.9,greater than 75.8
241
+ Suriname,2013,Developing,54254.0,86.0,0,86.0,86.0,0.4,0,0,5.96,9484.57,57.0,3.5,6.02,12.7,between 63.5 and 72.2
242
+ Turkey,2002,Developing,6514354.0,72.0,7823,78.0,78.0,0.1,38,46,5.36,366.57,55.1,5.2,1.47,11.5,between 63.5 and 72.2
243
+ Namibia,2002,Developing,1962147.0,,1278,78.0,77.0,24.6,3,4,6.17,1713.48,25.8,14.7,5.09,11.8,less than 63.5
244
+ Iceland,2015,Developed,33815.0,,0,92.0,92.0,0.1,0,0,,5734.44,61.0,1.0,,19.0,greater than 75.8
245
+ Lesotho,2000,Developing,1868699.0,,660,82.0,83.0,29.8,5,7,6.92,474.82,24.9,11.5,3.1,9.6,less than 63.5
246
+ Liberia,2000,Developing,2884522.0,,5977,56.0,46.0,3.1,14,20,5.91,183.41,2.2,9.2,4.46,8.7,less than 63.5
247
+ Namibia,2001,Developing,1933596.0,,416,79.0,78.0,23.9,3,4,6.18,1834.29,25.1,15.2,5.09,11.7,less than 63.5
248
+ Democratic Republic of the Congo,2006,Developing,,,80123,62.0,62.0,2.0,235,327,3.39,,17.3,11.3,1.53,,less than 63.5
249
+ Slovakia,2010,Developed,,99.0,0,99.0,99.0,0.1,0,0,8.51,,55.9,1.3,10.13,15.0,between 72.2 and 75.8
250
+ Myanmar,2011,Developing,555331.0,4.0,2046,9.0,84.0,0.5,47,61,1.87,1186.42,2.5,13.0,0.33,9.1,between 63.5 and 72.2
251
+ Republic of Moldova,2002,Developing,,99.0,4929,98.0,97.0,0.1,1,1,8.31,,47.2,3.4,6.71,,between 63.5 and 72.2
252
+ Egypt,2011,Developing,,96.0,26,96.0,96.0,0.1,55,64,5.4,,57.8,2.9,0.22,12.4,between 72.2 and 75.8
253
+ Egypt,2009,Developing,,97.0,608,97.0,97.0,0.1,54,64,5.1,,56.2,3.0,0.21,12.0,between 63.5 and 72.2
254
+ Côte d'Ivoire,2011,Developing,,62.0,628,58.0,62.0,3.3,60,83,6.42,,25.6,6.1,3.13,,less than 63.5
255
+ Tonga,2003,Developing,99789.0,85.0,0,91.0,9.0,0.1,0,0,5.9,229.71,67.8,0.1,1.79,13.7,between 63.5 and 72.2
256
+ The former Yugoslav republic of Macedonia,2003,Developing,,,18,96.0,96.0,0.1,0,0,9.17,,54.1,2.7,2.4,11.9,between 72.2 and 75.8
257
+ Russian Federation,2003,Developing,144648257.0,94.0,3291,97.0,96.0,0.4,20,22,5.61,2975.13,54.7,2.6,11.32,13.2,between 63.5 and 72.2
258
+ United Republic of Tanzania,2011,Developing,,9.0,1622,88.0,9.0,3.1,88,128,5.72,,21.3,7.0,4.04,,less than 63.5
259
+ Nepal,2015,Developing,28656282.0,91.0,1599,9.0,91.0,0.1,17,21,,743.77,19.1,15.7,,12.2,between 63.5 and 72.2
260
+ Democratic Republic of the Congo,2011,Developing,,74.0,133802,77.0,74.0,1.6,239,319,3.53,,19.6,1.2,1.82,,less than 63.5
261
+ Nigeria,2003,Developing,131972533.0,,141258,42.0,29.0,5.4,567,918,4.5,512.66,18.3,13.5,9.75,8.1,less than 63.5
262
+ Malawi,2004,Developing,1267638.0,89.0,1116,94.0,89.0,23.4,40,65,7.82,274.23,15.5,7.5,1.11,10.0,less than 63.5
263
+ Swaziland,2008,Developing,1158897.0,9.0,1,89.0,88.0,40.2,3,4,8.19,2842.44,28.9,6.1,4.87,10.6,less than 63.5
264
+ Kyrgyzstan,2001,Developing,,57.0,17,99.0,99.0,0.1,4,5,4.79,,36.0,3.6,2.62,11.8,between 63.5 and 72.2
265
+ Luxembourg,2001,Developed,441525.0,86.0,0,99.0,99.0,0.1,0,0,7.4,48179.43,54.6,1.0,12.89,13.4,greater than 75.8
266
+ Venezuela (Bolivarian Republic of),2007,Developing,,62.0,32,67.0,62.0,0.1,9,10,5.25,,57.6,1.6,8.7,12.9,between 72.2 and 75.8
267
+ Antigua and Barbuda,2003,Developing,,99.0,0,99.0,99.0,0.1,0,0,4.53,9739.83,4.1,3.5,7.16,0.0,between 72.2 and 75.8
268
+ Mauritania,2011,Developing,3717672.0,75.0,234,73.0,75.0,1.2,8,12,2.87,1393.26,28.1,8.5,0.01,7.7,less than 63.5
269
+ Estonia,2014,Developing,1314545.0,93.0,0,93.0,93.0,0.1,0,0,6.38,19941.46,59.4,1.9,0.01,16.5,greater than 75.8
270
+ Guyana,2003,Developing,751857.0,9.0,0,91.0,9.0,2.1,1,1,5.97,986.8,37.8,5.8,7.93,11.1,between 63.5 and 72.2
271
+ Nicaragua,2007,Developing,552216.0,93.0,0,93.0,93.0,0.2,3,4,6.91,1344.32,47.9,2.0,3.83,11.0,between 72.2 and 75.8
272
+ Gambia,2007,Developing,,97.0,0,94.0,95.0,3.1,3,6,5.76,,22.2,8.8,2.64,8.4,less than 63.5
273
+ South Sudan,2010,Developing,167192.0,,0,,,4.0,27,41,,1562.24,,,,0.0,less than 63.5
274
+ Democratic Republic of the Congo,2007,Developing,,7.0,55577,72.0,7.0,1.9,236,326,3.61,,17.8,11.1,1.52,,less than 63.5
275
+ Saudi Arabia,2007,Developing,,96.0,4648,96.0,96.0,0.1,9,10,3.49,16472.17,61.6,7.2,0.1,12.7,between 72.2 and 75.8
276
+ Sierra Leone,2008,Developing,6165372.0,77.0,44,75.0,77.0,1.9,29,44,1.29,46.38,2.7,8.7,3.91,8.3,less than 63.5
277
+ Guyana,2004,Developing,751652.0,91.0,0,91.0,91.0,1.9,1,1,5.73,145.59,38.4,5.8,7.84,11.2,between 63.5 and 72.2
278
+ Angola,2003,Developing,1823369.0,,1196,4.0,4.0,2.4,95,155,4.41,779.47,16.8,1.4,3.49,5.9,less than 63.5
279
+ Zimbabwe,2000,Developing,12222251.0,79.0,1483,78.0,78.0,43.5,24,39,7.1,547.36,25.5,11.0,1.68,9.8,less than 63.5
280
+ Kuwait,2014,Developing,,96.0,55,94.0,95.0,0.1,0,1,3.4,42996.48,7.8,3.4,0.01,13.0,between 72.2 and 75.8
281
+ Ecuador,2000,Developing,12628596.0,36.0,0,83.0,87.0,0.3,9,11,3.38,1451.3,43.6,1.6,3.99,12.4,between 72.2 and 75.8
282
+ Bangladesh,2007,Developing,147139191.0,95.0,2924,96.0,94.0,0.1,154,201,2.8,541.65,13.5,19.5,0.01,8.6,between 63.5 and 72.2
283
+ Mongolia,2007,Developing,259167.0,98.0,12,99.0,95.0,0.1,2,2,5.6,1634.81,43.9,2.2,3.79,13.0,between 63.5 and 72.2
284
+ Czechia,2003,Developed,,92.0,30,97.0,97.0,0.1,0,0,7.13,,6.4,2.2,13.01,,between 72.2 and 75.8
285
+ Guatemala,2003,Developing,125478.0,,0,84.0,84.0,0.4,15,19,6.88,1753.35,42.4,1.4,2.45,9.0,between 63.5 and 72.2
286
+ Belize,2002,Developing,26226.0,97.0,0,93.0,89.0,0.1,0,0,4.38,3556.56,42.0,3.7,4.99,11.9,between 63.5 and 72.2
287
+ United States of America,2005,Developed,,93.0,66,92.0,96.0,0.1,28,33,15.15,,63.8,0.7,8.52,,greater than 75.8
classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/test.jsonl ADDED
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classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/train.csv ADDED
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classification/unipredict/amirhosseinmirzaie-countries-life-expectancy/train.jsonl ADDED
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classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/metadata.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "amirhosseinmirzaie-pistachio-types-detection",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Class",
8
+ "label_values": [
9
+ "Kirmizi_Pistachio",
10
+ "Siit_Pistachio"
11
+ ],
12
+ "num_labels": 2,
13
+ "train_samples": 1546,
14
+ "test_samples": 172,
15
+ "train_label_distribution": {
16
+ "Kirmizi_Pistachio": 898,
17
+ "Siit_Pistachio": 648
18
+ },
19
+ "test_label_distribution": {
20
+ "Kirmizi_Pistachio": 100,
21
+ "Siit_Pistachio": 72
22
+ }
23
+ }
classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/test.csv ADDED
@@ -0,0 +1,173 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AREA,PERIMETER,MAJOR_AXIS,MINOR_AXIS,ECCENTRICITY,EQDIASQ,SOLIDITY,CONVEX_AREA,EXTENT,ASPECT_RATIO,ROUNDNESS,COMPACTNESS,SHAPEFACTOR_1,SHAPEFACTOR_2,SHAPEFACTOR_3,SHAPEFACTOR_4,Class
2
+ 76212,1184.29,457.34,219.24,0.88,311.51,0.97,78850,0.77,2.09,0.68,0.68,0.01,0,0.46,0.97,Kirmizi_Pistachio
3
+ 72454,1702.65,425.68,233.88,0.84,303.73,0.92,78464,0.68,1.82,0.31,0.71,0.01,0,0.51,0.93,Kirmizi_Pistachio
4
+ 80701,1240.08,417.41,250.96,0.8,320.55,0.96,84184,0.77,1.66,0.66,0.77,0.01,0,0.59,0.98,Siit_Pistachio
5
+ 90161,1495.12,474.69,242.88,0.86,338.82,0.97,92631,0.75,1.95,0.51,0.71,0.01,0,0.51,1.0,Siit_Pistachio
6
+ 109054,2177.39,452.42,330.44,0.68,372.63,0.93,117667,0.73,1.37,0.29,0.82,0.0,0,0.68,0.93,Siit_Pistachio
7
+ 65433,1101.1,421.85,202.01,0.88,288.64,0.97,67137,0.75,2.09,0.68,0.68,0.01,0,0.47,0.98,Kirmizi_Pistachio
8
+ 91032,1171.52,420.45,279.76,0.75,340.45,0.98,92415,0.73,1.5,0.83,0.81,0.0,0,0.66,0.99,Siit_Pistachio
9
+ 77000,1945.58,450.76,224.14,0.87,313.11,0.93,83155,0.7,2.01,0.26,0.69,0.01,0,0.48,0.97,Siit_Pistachio
10
+ 71350,2113.47,436.2,306.22,0.71,301.41,0.72,98517,0.57,1.42,0.2,0.69,0.01,0,0.48,0.68,Siit_Pistachio
11
+ 77803,2034.99,455.44,270.37,0.8,314.74,0.8,97652,0.67,1.68,0.24,0.69,0.01,0,0.48,0.8,Kirmizi_Pistachio
12
+ 93843,2097.22,452.09,289.63,0.77,345.67,0.9,104084,0.62,1.56,0.27,0.76,0.0,0,0.58,0.91,Siit_Pistachio
13
+ 70612,1084.69,425.27,216.62,0.86,299.84,0.98,72181,0.76,1.96,0.75,0.71,0.01,0,0.5,0.98,Kirmizi_Pistachio
14
+ 68796,1908.74,438.69,236.21,0.84,295.96,0.87,79400,0.65,1.86,0.24,0.67,0.01,0,0.46,0.85,Kirmizi_Pistachio
15
+ 98129,1239.91,470.1,267.58,0.82,353.47,0.99,99443,0.75,1.76,0.8,0.75,0.0,0,0.57,0.99,Siit_Pistachio
16
+ 92058,1171.62,468.64,250.88,0.84,342.36,0.99,92741,0.74,1.87,0.84,0.73,0.01,0,0.53,1.0,Siit_Pistachio
17
+ 63199,1236.67,421.48,196.36,0.88,283.67,0.96,65683,0.59,2.15,0.52,0.67,0.01,0,0.45,0.97,Kirmizi_Pistachio
18
+ 99405,1213.48,464.84,272.97,0.81,355.76,0.99,100481,0.74,1.7,0.85,0.77,0.0,0,0.59,1.0,Siit_Pistachio
19
+ 68481,1091.24,442.84,199.27,0.89,295.28,0.98,69700,0.77,2.22,0.72,0.67,0.01,0,0.44,0.99,Kirmizi_Pistachio
20
+ 85379,1200.44,495.11,220.85,0.9,329.71,0.99,86525,0.74,2.24,0.74,0.67,0.01,0,0.44,0.99,Kirmizi_Pistachio
21
+ 90882,1277.04,468.56,249.17,0.85,340.17,0.97,93847,0.77,1.88,0.7,0.73,0.01,0,0.53,0.99,Siit_Pistachio
22
+ 53594,1321.15,386.38,182.46,0.88,261.22,0.93,57755,0.72,2.12,0.39,0.68,0.01,0,0.46,0.97,Kirmizi_Pistachio
23
+ 81048,1403.79,484.82,217.11,0.89,321.24,0.96,84587,0.73,2.23,0.52,0.66,0.01,0,0.44,0.98,Siit_Pistachio
24
+ 88907,1257.83,481.42,243.48,0.86,336.45,0.94,94333,0.71,1.98,0.71,0.7,0.01,0,0.49,0.97,Kirmizi_Pistachio
25
+ 88112,1407.21,489.61,232.6,0.88,334.94,0.97,90707,0.59,2.1,0.56,0.68,0.01,0,0.47,0.99,Kirmizi_Pistachio
26
+ 59217,987.07,388.22,198.01,0.86,274.59,0.98,60353,0.79,1.96,0.76,0.71,0.01,0,0.5,0.98,Kirmizi_Pistachio
27
+ 72322,1796.31,441.51,221.91,0.86,303.45,0.91,79127,0.76,1.99,0.28,0.69,0.01,0,0.47,0.94,Kirmizi_Pistachio
28
+ 82422,1153.93,459.37,231.5,0.86,323.95,0.98,83678,0.67,1.98,0.78,0.71,0.01,0,0.5,0.99,Kirmizi_Pistachio
29
+ 68902,1114.33,450.52,196.41,0.9,296.19,0.98,70157,0.77,2.29,0.7,0.66,0.01,0,0.43,0.99,Kirmizi_Pistachio
30
+ 60466,1602.02,377.78,240.41,0.77,277.47,0.83,72465,0.67,1.57,0.3,0.73,0.01,0,0.54,0.85,Kirmizi_Pistachio
31
+ 89192,2021.39,481.08,249.55,0.85,336.99,0.92,96702,0.69,1.93,0.27,0.7,0.01,0,0.49,0.95,Kirmizi_Pistachio
32
+ 89930,1342.3,498.27,253.83,0.86,338.38,0.89,101154,0.7,1.96,0.63,0.68,0.01,0,0.46,0.91,Siit_Pistachio
33
+ 83705,1990.47,445.63,283.96,0.77,326.46,0.86,96926,0.67,1.57,0.27,0.73,0.01,0,0.54,0.84,Siit_Pistachio
34
+ 88744,1309.52,448.28,259.1,0.82,336.14,0.95,93309,0.77,1.73,0.65,0.75,0.01,0,0.56,0.97,Siit_Pistachio
35
+ 83507,1324.46,474.41,226.48,0.88,326.07,0.97,85929,0.74,2.09,0.6,0.69,0.01,0,0.47,0.99,Kirmizi_Pistachio
36
+ 67486,1254.58,435.87,204.18,0.88,293.13,0.95,71280,0.75,2.13,0.54,0.67,0.01,0,0.45,0.97,Kirmizi_Pistachio
37
+ 82341,1140.28,457.21,230.4,0.86,323.79,0.99,83328,0.75,1.98,0.8,0.71,0.01,0,0.5,1.0,Kirmizi_Pistachio
38
+ 84344,1193.49,453.18,243.46,0.84,327.7,0.97,87226,0.77,1.86,0.74,0.72,0.01,0,0.52,0.97,Kirmizi_Pistachio
39
+ 90398,1521.06,486.48,243.49,0.87,339.26,0.95,95405,0.65,2.0,0.49,0.7,0.01,0,0.49,0.97,Kirmizi_Pistachio
40
+ 79307,1147.15,425.4,249.92,0.81,317.77,0.94,84816,0.64,1.7,0.76,0.75,0.01,0,0.56,0.95,Siit_Pistachio
41
+ 68539,1078.83,445.56,197.2,0.9,295.41,0.98,69829,0.79,2.26,0.74,0.66,0.01,0,0.44,0.99,Kirmizi_Pistachio
42
+ 68113,1826.57,436.88,215.25,0.87,294.49,0.91,74852,0.66,2.03,0.26,0.67,0.01,0,0.45,0.92,Kirmizi_Pistachio
43
+ 82626,1162.74,450.01,238.95,0.85,324.35,0.96,85641,0.72,1.88,0.77,0.72,0.01,0,0.52,0.98,Kirmizi_Pistachio
44
+ 76256,1479.57,422.2,249.2,0.81,311.6,0.91,83363,0.71,1.69,0.44,0.74,0.01,0,0.54,0.92,Siit_Pistachio
45
+ 96537,1970.61,438.95,292.1,0.75,350.59,0.94,102847,0.77,1.5,0.31,0.8,0.0,0,0.64,0.96,Siit_Pistachio
46
+ 90073,1615.78,448.42,259.74,0.82,338.65,0.96,93898,0.75,1.73,0.43,0.76,0.01,0,0.57,0.98,Siit_Pistachio
47
+ 81306,1353.42,466.47,227.3,0.87,321.75,0.94,86187,0.75,2.05,0.56,0.69,0.01,0,0.48,0.98,Kirmizi_Pistachio
48
+ 83311,1208.88,473.01,228.64,0.88,325.69,0.97,86004,0.77,2.07,0.72,0.69,0.01,0,0.47,0.98,Kirmizi_Pistachio
49
+ 61544,1242.57,423.38,196.88,0.89,279.93,0.93,66012,0.71,2.15,0.5,0.66,0.01,0,0.44,0.94,Kirmizi_Pistachio
50
+ 94943,1192.61,458.86,264.16,0.82,347.69,0.99,95739,0.76,1.74,0.84,0.76,0.0,0,0.57,1.0,Siit_Pistachio
51
+ 69281,1858.31,429.65,220.82,0.86,297.0,0.9,77141,0.7,1.95,0.25,0.69,0.01,0,0.48,0.93,Kirmizi_Pistachio
52
+ 82939,1166.26,436.5,244.9,0.83,324.96,0.99,84111,0.75,1.78,0.77,0.74,0.01,0,0.55,0.99,Siit_Pistachio
53
+ 106514,1405.65,473.15,291.66,0.79,368.26,0.97,110364,0.79,1.62,0.68,0.78,0.0,0,0.61,0.98,Siit_Pistachio
54
+ 82897,1239.44,467.14,237.14,0.86,324.88,0.94,88375,0.76,1.97,0.68,0.7,0.01,0,0.48,0.95,Kirmizi_Pistachio
55
+ 81245,1430.69,472.58,227.58,0.88,321.63,0.94,86295,0.72,2.08,0.5,0.68,0.01,0,0.46,0.96,Kirmizi_Pistachio
56
+ 55000,1795.69,336.94,259.67,0.64,264.63,0.81,68111,0.6,1.3,0.21,0.79,0.01,0,0.62,0.8,Siit_Pistachio
57
+ 75506,1160.34,454.06,215.15,0.88,310.06,0.97,78167,0.74,2.11,0.7,0.68,0.01,0,0.47,0.98,Kirmizi_Pistachio
58
+ 68562,1383.17,422.44,217.93,0.86,295.46,0.92,74380,0.71,1.94,0.45,0.7,0.01,0,0.49,0.95,Kirmizi_Pistachio
59
+ 75528,1148.73,430.57,224.51,0.85,310.11,0.98,77025,0.76,1.92,0.72,0.72,0.01,0,0.52,0.99,Siit_Pistachio
60
+ 82148,1233.54,485.03,220.6,0.89,323.41,0.96,85489,0.75,2.2,0.68,0.67,0.01,0,0.44,0.98,Kirmizi_Pistachio
61
+ 84628,1392.06,479.97,230.79,0.88,328.26,0.94,90268,0.74,2.08,0.55,0.68,0.01,0,0.47,0.97,Kirmizi_Pistachio
62
+ 79236,1885.22,461.62,246.49,0.85,317.63,0.88,90460,0.69,1.87,0.28,0.69,0.01,0,0.47,0.89,Kirmizi_Pistachio
63
+ 89272,1173.18,460.26,251.95,0.84,337.14,0.96,92598,0.76,1.83,0.82,0.73,0.01,0,0.54,0.98,Siit_Pistachio
64
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65
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66
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67
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68
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69
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70
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71
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72
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73
+ 67688,1259.53,460.92,200.53,0.9,293.57,0.92,73239,0.71,2.3,0.54,0.64,0.01,0,0.41,0.93,Kirmizi_Pistachio
74
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75
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76
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77
+ 67752,1799.76,374.83,254.1,0.74,293.71,0.91,74340,0.72,1.48,0.26,0.78,0.01,0,0.61,0.91,Siit_Pistachio
78
+ 83486,1421.63,464.8,247.9,0.85,326.03,0.94,89227,0.72,1.87,0.52,0.7,0.01,0,0.49,0.92,Kirmizi_Pistachio
79
+ 70954,1366.36,430.34,214.81,0.87,300.57,0.96,73626,0.75,2.0,0.48,0.7,0.01,0,0.49,0.98,Kirmizi_Pistachio
80
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81
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82
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83
+ 60808,1542.35,385.18,218.34,0.82,278.25,0.91,66636,0.71,1.76,0.32,0.72,0.01,0,0.52,0.92,Kirmizi_Pistachio
84
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85
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86
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87
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88
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89
+ 88406,1210.5,458.9,247.41,0.84,335.5,0.98,90236,0.7,1.85,0.76,0.73,0.01,0,0.53,0.99,Siit_Pistachio
90
+ 63599,1073.37,387.05,226.26,0.81,284.56,0.91,69595,0.69,1.71,0.69,0.74,0.01,0,0.54,0.92,Kirmizi_Pistachio
91
+ 75288,1545.11,428.86,230.88,0.84,309.61,0.94,80294,0.73,1.86,0.4,0.72,0.01,0,0.52,0.97,Siit_Pistachio
92
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93
+ 101136,1255.62,475.22,271.33,0.82,358.85,0.99,102286,0.76,1.75,0.81,0.76,0.0,0,0.57,1.0,Siit_Pistachio
94
+ 64717,1026.03,416.62,198.4,0.88,287.05,0.99,65539,0.77,2.1,0.77,0.69,0.01,0,0.47,1.0,Kirmizi_Pistachio
95
+ 84844,1265.95,489.61,225.02,0.89,328.67,0.96,87971,0.77,2.18,0.67,0.67,0.01,0,0.45,0.98,Kirmizi_Pistachio
96
+ 71775,1701.83,414.84,244.18,0.81,302.3,0.9,79590,0.62,1.7,0.31,0.73,0.01,0,0.53,0.9,Kirmizi_Pistachio
97
+ 87842,1222.03,492.01,228.26,0.89,334.43,0.99,88857,0.82,2.16,0.74,0.68,0.01,0,0.46,1.0,Siit_Pistachio
98
+ 93818,1233.89,478.68,251.67,0.85,345.62,0.98,95264,0.77,1.9,0.77,0.72,0.01,0,0.52,0.99,Kirmizi_Pistachio
99
+ 75669,1436.56,415.89,239.32,0.82,310.39,0.94,80444,0.74,1.74,0.46,0.75,0.01,0,0.56,0.97,Kirmizi_Pistachio
100
+ 74226,1057.11,396.1,239.55,0.8,307.42,0.99,75234,0.75,1.65,0.83,0.78,0.01,0,0.6,1.0,Siit_Pistachio
101
+ 70376,1108.04,425.95,212.05,0.87,299.34,0.98,72036,0.72,2.01,0.72,0.7,0.01,0,0.49,0.99,Kirmizi_Pistachio
102
+ 61458,1268.52,380.2,216.39,0.82,279.73,0.91,67303,0.73,1.76,0.48,0.74,0.01,0,0.54,0.95,Kirmizi_Pistachio
103
+ 44436,1056.62,376.86,152.19,0.91,237.86,0.94,47489,0.75,2.48,0.5,0.63,0.01,0,0.4,0.99,Kirmizi_Pistachio
104
+ 71581,1464.89,351.68,275.71,0.62,301.89,0.92,77983,0.68,1.28,0.42,0.86,0.0,0,0.74,0.94,Siit_Pistachio
105
+ 90228,1240.99,479.92,240.21,0.87,338.94,0.98,91630,0.73,2.0,0.74,0.71,0.01,0,0.5,1.0,Siit_Pistachio
106
+ 74838,1098.34,434.65,221.92,0.86,308.69,0.98,76018,0.75,1.96,0.78,0.71,0.01,0,0.5,0.99,Kirmizi_Pistachio
107
+ 102777,1316.4,480.66,274.21,0.82,361.75,0.98,104730,0.74,1.75,0.75,0.75,0.0,0,0.57,0.99,Siit_Pistachio
108
+ 78001,1133.22,418.06,243.27,0.81,315.14,0.96,81085,0.75,1.72,0.76,0.75,0.01,0,0.57,0.98,Siit_Pistachio
109
+ 93411,1219.11,481.98,249.51,0.86,344.87,0.98,95702,0.72,1.93,0.79,0.72,0.01,0,0.51,0.99,Kirmizi_Pistachio
110
+ 71995,1761.0,419.27,232.68,0.83,302.77,0.88,81891,0.66,1.8,0.29,0.72,0.01,0,0.52,0.94,Kirmizi_Pistachio
111
+ 73019,1119.12,440.89,219.62,0.87,304.91,0.96,76015,0.73,2.01,0.73,0.69,0.01,0,0.48,0.96,Kirmizi_Pistachio
112
+ 83503,1990.2,449.68,252.09,0.83,326.07,0.92,91040,0.7,1.78,0.26,0.73,0.01,0,0.53,0.94,Siit_Pistachio
113
+ 71971,1607.95,441.08,213.79,0.87,302.71,0.95,75975,0.61,2.06,0.35,0.69,0.01,0,0.47,0.97,Siit_Pistachio
114
+ 99319,1336.04,485.27,263.93,0.84,355.61,0.98,101299,0.75,1.84,0.7,0.73,0.0,0,0.54,0.99,Siit_Pistachio
115
+ 97523,1212.46,468.62,266.03,0.82,352.38,0.99,98477,0.75,1.76,0.83,0.75,0.0,0,0.57,1.0,Siit_Pistachio
116
+ 95002,1276.77,488.2,253.01,0.86,347.79,0.97,98425,0.71,1.93,0.73,0.71,0.01,0,0.51,0.98,Kirmizi_Pistachio
117
+ 83176,1142.56,442.99,241.24,0.84,325.43,0.98,84990,0.77,1.84,0.8,0.73,0.01,0,0.54,0.99,Kirmizi_Pistachio
118
+ 66494,1084.08,421.89,205.8,0.87,290.97,0.97,68650,0.72,2.05,0.71,0.69,0.01,0,0.48,0.98,Kirmizi_Pistachio
119
+ 78504,2356.8,454.82,231.67,0.86,316.16,0.91,86230,0.73,1.96,0.18,0.7,0.01,0,0.48,0.95,Kirmizi_Pistachio
120
+ 88421,2138.69,454.07,285.39,0.78,335.53,0.86,102622,0.65,1.59,0.24,0.74,0.01,0,0.55,0.87,Siit_Pistachio
121
+ 79791,1154.02,483.25,212.68,0.9,318.74,0.99,80766,0.79,2.27,0.75,0.66,0.01,0,0.43,0.99,Kirmizi_Pistachio
122
+ 62622,1081.58,381.02,215.26,0.83,282.37,0.93,67086,0.71,1.77,0.67,0.74,0.01,0,0.55,0.97,Kirmizi_Pistachio
123
+ 63072,1943.85,396.61,225.19,0.82,283.38,0.89,71077,0.7,1.76,0.21,0.71,0.01,0,0.51,0.9,Kirmizi_Pistachio
124
+ 64036,1162.11,415.75,205.7,0.87,285.54,0.92,69546,0.69,2.02,0.6,0.69,0.01,0,0.47,0.95,Kirmizi_Pistachio
125
+ 77257,1141.37,399.48,247.67,0.78,313.63,0.98,78635,0.75,1.61,0.75,0.79,0.01,0,0.62,0.99,Siit_Pistachio
126
+ 80745,1522.31,455.29,232.8,0.86,320.64,0.93,86705,0.71,1.96,0.44,0.7,0.01,0,0.5,0.97,Kirmizi_Pistachio
127
+ 100291,1232.92,471.68,271.65,0.82,357.34,0.99,101143,0.76,1.74,0.83,0.76,0.0,0,0.57,1.0,Siit_Pistachio
128
+ 82943,2218.36,442.24,262.86,0.8,324.97,0.89,92706,0.67,1.68,0.21,0.73,0.01,0,0.54,0.91,Siit_Pistachio
129
+ 85638,2086.71,456.23,269.55,0.81,330.21,0.87,98419,0.68,1.69,0.25,0.72,0.01,0,0.52,0.89,Siit_Pistachio
130
+ 73633,1077.49,419.57,228.12,0.84,306.19,0.98,74959,0.75,1.84,0.8,0.73,0.01,0,0.53,0.98,Kirmizi_Pistachio
131
+ 63231,1107.59,427.69,192.81,0.89,283.74,0.95,66893,0.65,2.22,0.65,0.66,0.01,0,0.44,0.98,Kirmizi_Pistachio
132
+ 91766,1402.02,458.17,259.6,0.82,341.82,0.96,95776,0.75,1.76,0.59,0.75,0.01,0,0.56,0.98,Siit_Pistachio
133
+ 72202,1085.22,429.57,215.8,0.86,303.2,0.98,73635,0.75,1.99,0.77,0.71,0.01,0,0.5,0.99,Kirmizi_Pistachio
134
+ 73334,1099.47,413.74,227.96,0.83,305.57,0.97,75478,0.76,1.81,0.76,0.74,0.01,0,0.55,0.99,Kirmizi_Pistachio
135
+ 78625,1400.43,447.73,229.51,0.86,316.4,0.95,82517,0.74,1.95,0.5,0.71,0.01,0,0.5,0.97,Kirmizi_Pistachio
136
+ 91594,2203.26,463.45,264.55,0.82,341.5,0.94,97782,0.75,1.75,0.24,0.74,0.01,0,0.54,0.95,Siit_Pistachio
137
+ 70736,1125.76,353.84,256.9,0.69,300.11,0.97,72818,0.72,1.38,0.7,0.85,0.01,0,0.72,0.99,Siit_Pistachio
138
+ 99001,1266.75,480.3,264.24,0.84,355.04,0.98,100779,0.76,1.82,0.78,0.74,0.0,0,0.55,0.99,Siit_Pistachio
139
+ 101281,1219.19,461.65,281.64,0.79,359.1,0.99,102136,0.77,1.64,0.86,0.78,0.0,0,0.61,0.99,Siit_Pistachio
140
+ 76076,2272.14,446.17,275.65,0.79,311.23,0.82,93056,0.63,1.62,0.19,0.7,0.01,0,0.49,0.79,Siit_Pistachio
141
+ 77567,1682.11,449.29,229.46,0.86,314.26,0.93,83221,0.74,1.96,0.34,0.7,0.01,0,0.49,0.96,Kirmizi_Pistachio
142
+ 90330,1272.63,443.63,271.32,0.79,339.13,0.93,97406,0.69,1.64,0.7,0.76,0.0,0,0.58,0.96,Siit_Pistachio
143
+ 96253,1795.75,449.73,283.08,0.78,350.08,0.96,100707,0.74,1.59,0.38,0.78,0.0,0,0.61,0.96,Siit_Pistachio
144
+ 73254,1967.18,429.62,233.91,0.84,305.4,0.91,80327,0.71,1.84,0.24,0.71,0.01,0,0.51,0.93,Kirmizi_Pistachio
145
+ 78934,1145.33,463.97,224.53,0.88,317.02,0.98,80847,0.72,2.07,0.76,0.68,0.01,0,0.47,0.96,Kirmizi_Pistachio
146
+ 72587,1089.32,404.81,241.27,0.8,304.01,0.93,78430,0.73,1.68,0.77,0.75,0.01,0,0.56,0.95,Siit_Pistachio
147
+ 90386,1191.74,484.73,237.91,0.87,339.24,0.99,91173,0.79,2.04,0.8,0.7,0.01,0,0.49,1.0,Siit_Pistachio
148
+ 61882,1113.62,415.4,193.68,0.88,280.7,0.94,65589,0.75,2.14,0.63,0.68,0.01,0,0.46,0.98,Kirmizi_Pistachio
149
+ 54988,1080.31,407.4,176.63,0.9,264.6,0.95,57636,0.74,2.31,0.59,0.65,0.01,0,0.42,0.97,Kirmizi_Pistachio
150
+ 69497,1277.69,460.32,200.85,0.9,297.47,0.93,74663,0.73,2.29,0.54,0.65,0.01,0,0.42,0.96,Kirmizi_Pistachio
151
+ 73946,1306.46,455.39,209.0,0.89,306.84,0.96,77061,0.74,2.18,0.54,0.67,0.01,0,0.45,0.99,Kirmizi_Pistachio
152
+ 62370,1025.72,403.48,204.04,0.86,281.8,0.95,65970,0.68,1.98,0.74,0.7,0.01,0,0.49,0.96,Kirmizi_Pistachio
153
+ 75231,1118.51,436.28,224.88,0.86,309.49,0.96,78041,0.76,1.94,0.76,0.71,0.01,0,0.5,0.98,Kirmizi_Pistachio
154
+ 81632,1302.0,445.49,235.26,0.85,322.39,0.97,83820,0.75,1.89,0.61,0.72,0.01,0,0.52,0.99,Siit_Pistachio
155
+ 113794,1605.1,451.17,335.0,0.67,380.64,0.93,122368,0.76,1.35,0.56,0.84,0.0,0,0.71,0.96,Siit_Pistachio
156
+ 88942,1145.69,429.78,265.83,0.79,336.52,0.98,90725,0.74,1.62,0.85,0.78,0.0,0,0.61,0.99,Siit_Pistachio
157
+ 83793,1322.92,456.78,237.92,0.85,326.63,0.95,87789,0.76,1.92,0.6,0.72,0.01,0,0.51,0.98,Kirmizi_Pistachio
158
+ 94993,1188.8,453.77,268.45,0.81,347.78,0.99,95799,0.74,1.69,0.84,0.77,0.0,0,0.59,0.99,Siit_Pistachio
159
+ 89379,1250.2,480.18,242.66,0.86,337.34,0.96,93365,0.76,1.98,0.72,0.7,0.01,0,0.49,0.98,Kirmizi_Pistachio
160
+ 77050,1725.63,438.91,247.69,0.83,313.21,0.89,86274,0.71,1.77,0.33,0.71,0.01,0,0.51,0.9,Kirmizi_Pistachio
161
+ 73688,1193.8,434.15,239.41,0.83,306.3,0.9,81750,0.68,1.81,0.65,0.71,0.01,0,0.5,0.9,Kirmizi_Pistachio
162
+ 35873,971.09,326.21,143.6,0.9,213.72,0.95,37935,0.77,2.27,0.48,0.66,0.01,0,0.43,0.97,Kirmizi_Pistachio
163
+ 98363,1308.22,499.59,251.24,0.86,353.89,0.99,99364,0.78,1.99,0.72,0.71,0.01,0,0.5,1.0,Siit_Pistachio
164
+ 88455,2006.81,477.36,243.77,0.86,335.6,0.95,92868,0.71,1.96,0.28,0.7,0.01,0,0.49,0.97,Kirmizi_Pistachio
165
+ 62862,1086.58,432.0,188.4,0.9,282.91,0.97,65062,0.75,2.29,0.67,0.65,0.01,0,0.43,0.98,Kirmizi_Pistachio
166
+ 81534,1857.9,456.7,248.64,0.84,322.2,0.92,88760,0.72,1.84,0.3,0.71,0.01,0,0.5,0.91,Siit_Pistachio
167
+ 83358,1243.56,486.53,221.6,0.89,325.78,0.98,84896,0.75,2.2,0.68,0.67,0.01,0,0.45,0.98,Kirmizi_Pistachio
168
+ 69025,1993.15,442.18,207.92,0.88,296.45,0.92,74936,0.75,2.13,0.22,0.67,0.01,0,0.45,0.96,Kirmizi_Pistachio
169
+ 85339,1171.86,464.48,238.47,0.86,329.63,0.96,88654,0.76,1.95,0.78,0.71,0.01,0,0.5,0.98,Siit_Pistachio
170
+ 83252,2418.31,507.15,229.1,0.89,325.58,0.87,95756,0.71,2.21,0.18,0.64,0.01,0,0.41,0.91,Kirmizi_Pistachio
171
+ 69816,1637.18,398.57,230.71,0.82,298.15,0.93,75427,0.75,1.73,0.33,0.75,0.01,0,0.56,0.97,Kirmizi_Pistachio
172
+ 107831,1380.11,436.34,320.24,0.68,370.53,0.96,112106,0.75,1.36,0.71,0.85,0.0,0,0.72,0.98,Siit_Pistachio
173
+ 64171,1246.57,422.11,202.61,0.88,285.84,0.92,69600,0.72,2.08,0.52,0.68,0.01,0,0.46,0.96,Kirmizi_Pistachio
classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/test.jsonl ADDED
@@ -0,0 +1,172 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The AREA is 76212. The PERIMETER is 1184.29. The MAJOR_AXIS is 457.34. The MINOR_AXIS is 219.24. The ECCENTRICITY is 0.88. The EQDIASQ is 311.51. The SOLIDITY is 0.97. The CONVEX_AREA is 78850. The EXTENT is 0.77. The ASPECT_RATIO is 2.09. The ROUNDNESS is 0.68. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The AREA is 72454. The PERIMETER is 1702.65. The MAJOR_AXIS is 425.68. The MINOR_AXIS is 233.88. The ECCENTRICITY is 0.84. The EQDIASQ is 303.73. The SOLIDITY is 0.92. The CONVEX_AREA is 78464. The EXTENT is 0.68. The ASPECT_RATIO is 1.82. The ROUNDNESS is 0.31. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.93.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The AREA is 80701. The PERIMETER is 1240.08. The MAJOR_AXIS is 417.41. The MINOR_AXIS is 250.96. The ECCENTRICITY is 0.8. The EQDIASQ is 320.55. The SOLIDITY is 0.96. The CONVEX_AREA is 84184. The EXTENT is 0.77. The ASPECT_RATIO is 1.66. The ROUNDNESS is 0.66. The COMPACTNESS is 0.77. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.59. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The AREA is 90161. The PERIMETER is 1495.12. The MAJOR_AXIS is 474.69. The MINOR_AXIS is 242.88. The ECCENTRICITY is 0.86. The EQDIASQ is 338.82. The SOLIDITY is 0.97. The CONVEX_AREA is 92631. The EXTENT is 0.75. The ASPECT_RATIO is 1.95. The ROUNDNESS is 0.51. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The AREA is 109054. The PERIMETER is 2177.39. The MAJOR_AXIS is 452.42. The MINOR_AXIS is 330.44. The ECCENTRICITY is 0.68. The EQDIASQ is 372.63. The SOLIDITY is 0.93. The CONVEX_AREA is 117667. The EXTENT is 0.73. The ASPECT_RATIO is 1.37. The ROUNDNESS is 0.29. The COMPACTNESS is 0.82. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.68. The SHAPEFACTOR_4 is 0.93.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The AREA is 65433. The PERIMETER is 1101.1. The MAJOR_AXIS is 421.85. The MINOR_AXIS is 202.01. The ECCENTRICITY is 0.88. The EQDIASQ is 288.64. The SOLIDITY is 0.97. The CONVEX_AREA is 67137. The EXTENT is 0.75. The ASPECT_RATIO is 2.09. The ROUNDNESS is 0.68. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The AREA is 91032. The PERIMETER is 1171.52. The MAJOR_AXIS is 420.45. The MINOR_AXIS is 279.76. The ECCENTRICITY is 0.75. The EQDIASQ is 340.45. The SOLIDITY is 0.98. The CONVEX_AREA is 92415. The EXTENT is 0.73. The ASPECT_RATIO is 1.5. The ROUNDNESS is 0.83. The COMPACTNESS is 0.81. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.66. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The AREA is 77000. The PERIMETER is 1945.58. The MAJOR_AXIS is 450.76. The MINOR_AXIS is 224.14. The ECCENTRICITY is 0.87. The EQDIASQ is 313.11. The SOLIDITY is 0.93. The CONVEX_AREA is 83155. The EXTENT is 0.7. The ASPECT_RATIO is 2.01. The ROUNDNESS is 0.26. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.97.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The AREA is 71350. The PERIMETER is 2113.47. The MAJOR_AXIS is 436.2. The MINOR_AXIS is 306.22. The ECCENTRICITY is 0.71. The EQDIASQ is 301.41. The SOLIDITY is 0.72. The CONVEX_AREA is 98517. The EXTENT is 0.57. The ASPECT_RATIO is 1.42. The ROUNDNESS is 0.2. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.68.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The AREA is 77803. The PERIMETER is 2034.99. The MAJOR_AXIS is 455.44. The MINOR_AXIS is 270.37. The ECCENTRICITY is 0.8. The EQDIASQ is 314.74. The SOLIDITY is 0.8. The CONVEX_AREA is 97652. The EXTENT is 0.67. The ASPECT_RATIO is 1.68. The ROUNDNESS is 0.24. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.8.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The AREA is 93843. The PERIMETER is 2097.22. The MAJOR_AXIS is 452.09. The MINOR_AXIS is 289.63. The ECCENTRICITY is 0.77. The EQDIASQ is 345.67. The SOLIDITY is 0.9. The CONVEX_AREA is 104084. The EXTENT is 0.62. The ASPECT_RATIO is 1.56. The ROUNDNESS is 0.27. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.58. The SHAPEFACTOR_4 is 0.91.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The AREA is 70612. The PERIMETER is 1084.69. The MAJOR_AXIS is 425.27. The MINOR_AXIS is 216.62. The ECCENTRICITY is 0.86. The EQDIASQ is 299.84. The SOLIDITY is 0.98. The CONVEX_AREA is 72181. The EXTENT is 0.76. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.75. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The AREA is 68796. The PERIMETER is 1908.74. The MAJOR_AXIS is 438.69. The MINOR_AXIS is 236.21. The ECCENTRICITY is 0.84. The EQDIASQ is 295.96. The SOLIDITY is 0.87. The CONVEX_AREA is 79400. The EXTENT is 0.65. The ASPECT_RATIO is 1.86. The ROUNDNESS is 0.24. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.85.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The AREA is 98129. The PERIMETER is 1239.91. The MAJOR_AXIS is 470.1. The MINOR_AXIS is 267.58. The ECCENTRICITY is 0.82. The EQDIASQ is 353.47. The SOLIDITY is 0.99. The CONVEX_AREA is 99443. The EXTENT is 0.75. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.8. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The AREA is 92058. The PERIMETER is 1171.62. The MAJOR_AXIS is 468.64. The MINOR_AXIS is 250.88. The ECCENTRICITY is 0.84. The EQDIASQ is 342.36. The SOLIDITY is 0.99. The CONVEX_AREA is 92741. The EXTENT is 0.74. The ASPECT_RATIO is 1.87. The ROUNDNESS is 0.84. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The AREA is 63199. The PERIMETER is 1236.67. The MAJOR_AXIS is 421.48. The MINOR_AXIS is 196.36. The ECCENTRICITY is 0.88. The EQDIASQ is 283.67. The SOLIDITY is 0.96. The CONVEX_AREA is 65683. The EXTENT is 0.59. The ASPECT_RATIO is 2.15. The ROUNDNESS is 0.52. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The AREA is 99405. The PERIMETER is 1213.48. The MAJOR_AXIS is 464.84. The MINOR_AXIS is 272.97. The ECCENTRICITY is 0.81. The EQDIASQ is 355.76. The SOLIDITY is 0.99. The CONVEX_AREA is 100481. The EXTENT is 0.74. The ASPECT_RATIO is 1.7. The ROUNDNESS is 0.85. The COMPACTNESS is 0.77. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.59. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The AREA is 68481. The PERIMETER is 1091.24. The MAJOR_AXIS is 442.84. The MINOR_AXIS is 199.27. The ECCENTRICITY is 0.89. The EQDIASQ is 295.28. The SOLIDITY is 0.98. The CONVEX_AREA is 69700. The EXTENT is 0.77. The ASPECT_RATIO is 2.22. The ROUNDNESS is 0.72. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The AREA is 85379. The PERIMETER is 1200.44. The MAJOR_AXIS is 495.11. The MINOR_AXIS is 220.85. The ECCENTRICITY is 0.9. The EQDIASQ is 329.71. The SOLIDITY is 0.99. The CONVEX_AREA is 86525. The EXTENT is 0.74. The ASPECT_RATIO is 2.24. The ROUNDNESS is 0.74. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The AREA is 90882. The PERIMETER is 1277.04. The MAJOR_AXIS is 468.56. The MINOR_AXIS is 249.17. The ECCENTRICITY is 0.85. The EQDIASQ is 340.17. The SOLIDITY is 0.97. The CONVEX_AREA is 93847. The EXTENT is 0.77. The ASPECT_RATIO is 1.88. The ROUNDNESS is 0.7. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The AREA is 53594. The PERIMETER is 1321.15. The MAJOR_AXIS is 386.38. The MINOR_AXIS is 182.46. The ECCENTRICITY is 0.88. The EQDIASQ is 261.22. The SOLIDITY is 0.93. The CONVEX_AREA is 57755. The EXTENT is 0.72. The ASPECT_RATIO is 2.12. The ROUNDNESS is 0.39. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The AREA is 81048. The PERIMETER is 1403.79. The MAJOR_AXIS is 484.82. The MINOR_AXIS is 217.11. The ECCENTRICITY is 0.89. The EQDIASQ is 321.24. The SOLIDITY is 0.96. The CONVEX_AREA is 84587. The EXTENT is 0.73. The ASPECT_RATIO is 2.23. The ROUNDNESS is 0.52. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The AREA is 88907. The PERIMETER is 1257.83. The MAJOR_AXIS is 481.42. The MINOR_AXIS is 243.48. The ECCENTRICITY is 0.86. The EQDIASQ is 336.45. The SOLIDITY is 0.94. The CONVEX_AREA is 94333. The EXTENT is 0.71. The ASPECT_RATIO is 1.98. The ROUNDNESS is 0.71. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The AREA is 88112. The PERIMETER is 1407.21. The MAJOR_AXIS is 489.61. The MINOR_AXIS is 232.6. The ECCENTRICITY is 0.88. The EQDIASQ is 334.94. The SOLIDITY is 0.97. The CONVEX_AREA is 90707. The EXTENT is 0.59. The ASPECT_RATIO is 2.1. The ROUNDNESS is 0.56. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The AREA is 59217. The PERIMETER is 987.07. The MAJOR_AXIS is 388.22. The MINOR_AXIS is 198.01. The ECCENTRICITY is 0.86. The EQDIASQ is 274.59. The SOLIDITY is 0.98. The CONVEX_AREA is 60353. The EXTENT is 0.79. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.76. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The AREA is 72322. The PERIMETER is 1796.31. The MAJOR_AXIS is 441.51. The MINOR_AXIS is 221.91. The ECCENTRICITY is 0.86. The EQDIASQ is 303.45. The SOLIDITY is 0.91. The CONVEX_AREA is 79127. The EXTENT is 0.76. The ASPECT_RATIO is 1.99. The ROUNDNESS is 0.28. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.94.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The AREA is 82422. The PERIMETER is 1153.93. The MAJOR_AXIS is 459.37. The MINOR_AXIS is 231.5. The ECCENTRICITY is 0.86. The EQDIASQ is 323.95. The SOLIDITY is 0.98. The CONVEX_AREA is 83678. The EXTENT is 0.67. The ASPECT_RATIO is 1.98. The ROUNDNESS is 0.78. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The AREA is 68902. The PERIMETER is 1114.33. The MAJOR_AXIS is 450.52. The MINOR_AXIS is 196.41. The ECCENTRICITY is 0.9. The EQDIASQ is 296.19. The SOLIDITY is 0.98. The CONVEX_AREA is 70157. The EXTENT is 0.77. The ASPECT_RATIO is 2.29. The ROUNDNESS is 0.7. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.43. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The AREA is 60466. The PERIMETER is 1602.02. The MAJOR_AXIS is 377.78. The MINOR_AXIS is 240.41. The ECCENTRICITY is 0.77. The EQDIASQ is 277.47. The SOLIDITY is 0.83. The CONVEX_AREA is 72465. The EXTENT is 0.67. The ASPECT_RATIO is 1.57. The ROUNDNESS is 0.3. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.85.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The AREA is 89192. The PERIMETER is 2021.39. The MAJOR_AXIS is 481.08. The MINOR_AXIS is 249.55. The ECCENTRICITY is 0.85. The EQDIASQ is 336.99. The SOLIDITY is 0.92. The CONVEX_AREA is 96702. The EXTENT is 0.69. The ASPECT_RATIO is 1.93. The ROUNDNESS is 0.27. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The AREA is 89930. The PERIMETER is 1342.3. The MAJOR_AXIS is 498.27. The MINOR_AXIS is 253.83. The ECCENTRICITY is 0.86. The EQDIASQ is 338.38. The SOLIDITY is 0.89. The CONVEX_AREA is 101154. The EXTENT is 0.7. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.63. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.91.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The AREA is 83705. The PERIMETER is 1990.47. The MAJOR_AXIS is 445.63. The MINOR_AXIS is 283.96. The ECCENTRICITY is 0.77. The EQDIASQ is 326.46. The SOLIDITY is 0.86. The CONVEX_AREA is 96926. The EXTENT is 0.67. The ASPECT_RATIO is 1.57. The ROUNDNESS is 0.27. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.84.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The AREA is 88744. The PERIMETER is 1309.52. The MAJOR_AXIS is 448.28. The MINOR_AXIS is 259.1. The ECCENTRICITY is 0.82. The EQDIASQ is 336.14. The SOLIDITY is 0.95. The CONVEX_AREA is 93309. The EXTENT is 0.77. The ASPECT_RATIO is 1.73. The ROUNDNESS is 0.65. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.97.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The AREA is 83507. The PERIMETER is 1324.46. The MAJOR_AXIS is 474.41. The MINOR_AXIS is 226.48. The ECCENTRICITY is 0.88. The EQDIASQ is 326.07. The SOLIDITY is 0.97. The CONVEX_AREA is 85929. The EXTENT is 0.74. The ASPECT_RATIO is 2.09. The ROUNDNESS is 0.6. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The AREA is 67486. The PERIMETER is 1254.58. The MAJOR_AXIS is 435.87. The MINOR_AXIS is 204.18. The ECCENTRICITY is 0.88. The EQDIASQ is 293.13. The SOLIDITY is 0.95. The CONVEX_AREA is 71280. The EXTENT is 0.75. The ASPECT_RATIO is 2.13. The ROUNDNESS is 0.54. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The AREA is 82341. The PERIMETER is 1140.28. The MAJOR_AXIS is 457.21. The MINOR_AXIS is 230.4. The ECCENTRICITY is 0.86. The EQDIASQ is 323.79. The SOLIDITY is 0.99. The CONVEX_AREA is 83328. The EXTENT is 0.75. The ASPECT_RATIO is 1.98. The ROUNDNESS is 0.8. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 1.0.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The AREA is 84344. The PERIMETER is 1193.49. The MAJOR_AXIS is 453.18. The MINOR_AXIS is 243.46. The ECCENTRICITY is 0.84. The EQDIASQ is 327.7. The SOLIDITY is 0.97. The CONVEX_AREA is 87226. The EXTENT is 0.77. The ASPECT_RATIO is 1.86. The ROUNDNESS is 0.74. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The AREA is 90398. The PERIMETER is 1521.06. The MAJOR_AXIS is 486.48. The MINOR_AXIS is 243.49. The ECCENTRICITY is 0.87. The EQDIASQ is 339.26. The SOLIDITY is 0.95. The CONVEX_AREA is 95405. The EXTENT is 0.65. The ASPECT_RATIO is 2.0. The ROUNDNESS is 0.49. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The AREA is 79307. The PERIMETER is 1147.15. The MAJOR_AXIS is 425.4. The MINOR_AXIS is 249.92. The ECCENTRICITY is 0.81. The EQDIASQ is 317.77. The SOLIDITY is 0.94. The CONVEX_AREA is 84816. The EXTENT is 0.64. The ASPECT_RATIO is 1.7. The ROUNDNESS is 0.76. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.95.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The AREA is 68539. The PERIMETER is 1078.83. The MAJOR_AXIS is 445.56. The MINOR_AXIS is 197.2. The ECCENTRICITY is 0.9. The EQDIASQ is 295.41. The SOLIDITY is 0.98. The CONVEX_AREA is 69829. The EXTENT is 0.79. The ASPECT_RATIO is 2.26. The ROUNDNESS is 0.74. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The AREA is 68113. The PERIMETER is 1826.57. The MAJOR_AXIS is 436.88. The MINOR_AXIS is 215.25. The ECCENTRICITY is 0.87. The EQDIASQ is 294.49. The SOLIDITY is 0.91. The CONVEX_AREA is 74852. The EXTENT is 0.66. The ASPECT_RATIO is 2.03. The ROUNDNESS is 0.26. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.92.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The AREA is 82626. The PERIMETER is 1162.74. The MAJOR_AXIS is 450.01. The MINOR_AXIS is 238.95. The ECCENTRICITY is 0.85. The EQDIASQ is 324.35. The SOLIDITY is 0.96. The CONVEX_AREA is 85641. The EXTENT is 0.72. The ASPECT_RATIO is 1.88. The ROUNDNESS is 0.77. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The AREA is 76256. The PERIMETER is 1479.57. The MAJOR_AXIS is 422.2. The MINOR_AXIS is 249.2. The ECCENTRICITY is 0.81. The EQDIASQ is 311.6. The SOLIDITY is 0.91. The CONVEX_AREA is 83363. The EXTENT is 0.71. The ASPECT_RATIO is 1.69. The ROUNDNESS is 0.44. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.92.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The AREA is 96537. The PERIMETER is 1970.61. The MAJOR_AXIS is 438.95. The MINOR_AXIS is 292.1. The ECCENTRICITY is 0.75. The EQDIASQ is 350.59. The SOLIDITY is 0.94. The CONVEX_AREA is 102847. The EXTENT is 0.77. The ASPECT_RATIO is 1.5. The ROUNDNESS is 0.31. The COMPACTNESS is 0.8. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.64. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The AREA is 90073. The PERIMETER is 1615.78. The MAJOR_AXIS is 448.42. The MINOR_AXIS is 259.74. The ECCENTRICITY is 0.82. The EQDIASQ is 338.65. The SOLIDITY is 0.96. The CONVEX_AREA is 93898. The EXTENT is 0.75. The ASPECT_RATIO is 1.73. The ROUNDNESS is 0.43. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The AREA is 81306. The PERIMETER is 1353.42. The MAJOR_AXIS is 466.47. The MINOR_AXIS is 227.3. The ECCENTRICITY is 0.87. The EQDIASQ is 321.75. The SOLIDITY is 0.94. The CONVEX_AREA is 86187. The EXTENT is 0.75. The ASPECT_RATIO is 2.05. The ROUNDNESS is 0.56. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The AREA is 83311. The PERIMETER is 1208.88. The MAJOR_AXIS is 473.01. The MINOR_AXIS is 228.64. The ECCENTRICITY is 0.88. The EQDIASQ is 325.69. The SOLIDITY is 0.97. The CONVEX_AREA is 86004. The EXTENT is 0.77. The ASPECT_RATIO is 2.07. The ROUNDNESS is 0.72. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The AREA is 61544. The PERIMETER is 1242.57. The MAJOR_AXIS is 423.38. The MINOR_AXIS is 196.88. The ECCENTRICITY is 0.89. The EQDIASQ is 279.93. The SOLIDITY is 0.93. The CONVEX_AREA is 66012. The EXTENT is 0.71. The ASPECT_RATIO is 2.15. The ROUNDNESS is 0.5. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.94.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The AREA is 94943. The PERIMETER is 1192.61. The MAJOR_AXIS is 458.86. The MINOR_AXIS is 264.16. The ECCENTRICITY is 0.82. The EQDIASQ is 347.69. The SOLIDITY is 0.99. The CONVEX_AREA is 95739. The EXTENT is 0.76. The ASPECT_RATIO is 1.74. The ROUNDNESS is 0.84. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The AREA is 69281. The PERIMETER is 1858.31. The MAJOR_AXIS is 429.65. The MINOR_AXIS is 220.82. The ECCENTRICITY is 0.86. The EQDIASQ is 297.0. The SOLIDITY is 0.9. The CONVEX_AREA is 77141. The EXTENT is 0.7. The ASPECT_RATIO is 1.95. The ROUNDNESS is 0.25. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.93.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The AREA is 82939. The PERIMETER is 1166.26. The MAJOR_AXIS is 436.5. The MINOR_AXIS is 244.9. The ECCENTRICITY is 0.83. The EQDIASQ is 324.96. The SOLIDITY is 0.99. The CONVEX_AREA is 84111. The EXTENT is 0.75. The ASPECT_RATIO is 1.78. The ROUNDNESS is 0.77. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The AREA is 106514. The PERIMETER is 1405.65. The MAJOR_AXIS is 473.15. The MINOR_AXIS is 291.66. The ECCENTRICITY is 0.79. The EQDIASQ is 368.26. The SOLIDITY is 0.97. The CONVEX_AREA is 110364. The EXTENT is 0.79. The ASPECT_RATIO is 1.62. The ROUNDNESS is 0.68. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.61. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The AREA is 82897. The PERIMETER is 1239.44. The MAJOR_AXIS is 467.14. The MINOR_AXIS is 237.14. The ECCENTRICITY is 0.86. The EQDIASQ is 324.88. The SOLIDITY is 0.94. The CONVEX_AREA is 88375. The EXTENT is 0.76. The ASPECT_RATIO is 1.97. The ROUNDNESS is 0.68. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The AREA is 81245. The PERIMETER is 1430.69. The MAJOR_AXIS is 472.58. The MINOR_AXIS is 227.58. The ECCENTRICITY is 0.88. The EQDIASQ is 321.63. The SOLIDITY is 0.94. The CONVEX_AREA is 86295. The EXTENT is 0.72. The ASPECT_RATIO is 2.08. The ROUNDNESS is 0.5. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The AREA is 55000. The PERIMETER is 1795.69. The MAJOR_AXIS is 336.94. The MINOR_AXIS is 259.67. The ECCENTRICITY is 0.64. The EQDIASQ is 264.63. The SOLIDITY is 0.81. The CONVEX_AREA is 68111. The EXTENT is 0.6. The ASPECT_RATIO is 1.3. The ROUNDNESS is 0.21. The COMPACTNESS is 0.79. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.62. The SHAPEFACTOR_4 is 0.8.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The AREA is 75506. The PERIMETER is 1160.34. The MAJOR_AXIS is 454.06. The MINOR_AXIS is 215.15. The ECCENTRICITY is 0.88. The EQDIASQ is 310.06. The SOLIDITY is 0.97. The CONVEX_AREA is 78167. The EXTENT is 0.74. The ASPECT_RATIO is 2.11. The ROUNDNESS is 0.7. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The AREA is 68562. The PERIMETER is 1383.17. The MAJOR_AXIS is 422.44. The MINOR_AXIS is 217.93. The ECCENTRICITY is 0.86. The EQDIASQ is 295.46. The SOLIDITY is 0.92. The CONVEX_AREA is 74380. The EXTENT is 0.71. The ASPECT_RATIO is 1.94. The ROUNDNESS is 0.45. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The AREA is 75528. The PERIMETER is 1148.73. The MAJOR_AXIS is 430.57. The MINOR_AXIS is 224.51. The ECCENTRICITY is 0.85. The EQDIASQ is 310.11. The SOLIDITY is 0.98. The CONVEX_AREA is 77025. The EXTENT is 0.76. The ASPECT_RATIO is 1.92. The ROUNDNESS is 0.72. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The AREA is 82148. The PERIMETER is 1233.54. The MAJOR_AXIS is 485.03. The MINOR_AXIS is 220.6. The ECCENTRICITY is 0.89. The EQDIASQ is 323.41. The SOLIDITY is 0.96. The CONVEX_AREA is 85489. The EXTENT is 0.75. The ASPECT_RATIO is 2.2. The ROUNDNESS is 0.68. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The AREA is 84628. The PERIMETER is 1392.06. The MAJOR_AXIS is 479.97. The MINOR_AXIS is 230.79. The ECCENTRICITY is 0.88. The EQDIASQ is 328.26. The SOLIDITY is 0.94. The CONVEX_AREA is 90268. The EXTENT is 0.74. The ASPECT_RATIO is 2.08. The ROUNDNESS is 0.55. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The AREA is 79236. The PERIMETER is 1885.22. The MAJOR_AXIS is 461.62. The MINOR_AXIS is 246.49. The ECCENTRICITY is 0.85. The EQDIASQ is 317.63. The SOLIDITY is 0.88. The CONVEX_AREA is 90460. The EXTENT is 0.69. The ASPECT_RATIO is 1.87. The ROUNDNESS is 0.28. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.89.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The AREA is 89272. The PERIMETER is 1173.18. The MAJOR_AXIS is 460.26. The MINOR_AXIS is 251.95. The ECCENTRICITY is 0.84. The EQDIASQ is 337.14. The SOLIDITY is 0.96. The CONVEX_AREA is 92598. The EXTENT is 0.76. The ASPECT_RATIO is 1.83. The ROUNDNESS is 0.82. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The AREA is 73579. The PERIMETER is 1153.36. The MAJOR_AXIS is 443.81. The MINOR_AXIS is 217.88. The ECCENTRICITY is 0.87. The EQDIASQ is 306.08. The SOLIDITY is 0.93. The CONVEX_AREA is 78739. The EXTENT is 0.76. The ASPECT_RATIO is 2.04. The ROUNDNESS is 0.7. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The AREA is 106364. The PERIMETER is 1498.95. The MAJOR_AXIS is 468.51. The MINOR_AXIS is 307.0. The ECCENTRICITY is 0.76. The EQDIASQ is 368.0. The SOLIDITY is 0.93. The CONVEX_AREA is 114080. The EXTENT is 0.69. The ASPECT_RATIO is 1.53. The ROUNDNESS is 0.59. The COMPACTNESS is 0.79. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.62. The SHAPEFACTOR_4 is 0.94.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The AREA is 85876. The PERIMETER is 1153.94. The MAJOR_AXIS is 457.1. The MINOR_AXIS is 240.75. The ECCENTRICITY is 0.85. The EQDIASQ is 330.67. The SOLIDITY is 0.99. The CONVEX_AREA is 86580. The EXTENT is 0.72. The ASPECT_RATIO is 1.9. The ROUNDNESS is 0.81. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The AREA is 92504. The PERIMETER is 1344.24. The MAJOR_AXIS is 464.93. The MINOR_AXIS is 255.69. The ECCENTRICITY is 0.84. The EQDIASQ is 343.19. The SOLIDITY is 0.97. The CONVEX_AREA is 95514. The EXTENT is 0.68. The ASPECT_RATIO is 1.82. The ROUNDNESS is 0.64. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The AREA is 98991. The PERIMETER is 1742.34. The MAJOR_AXIS is 479.36. The MINOR_AXIS is 267.75. The ECCENTRICITY is 0.83. The EQDIASQ is 355.02. The SOLIDITY is 0.95. The CONVEX_AREA is 104041. The EXTENT is 0.79. The ASPECT_RATIO is 1.79. The ROUNDNESS is 0.41. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The AREA is 82562. The PERIMETER is 1806.66. The MAJOR_AXIS is 433.71. The MINOR_AXIS is 253.64. The ECCENTRICITY is 0.81. The EQDIASQ is 324.22. The SOLIDITY is 0.94. The CONVEX_AREA is 87991. The EXTENT is 0.67. The ASPECT_RATIO is 1.71. The ROUNDNESS is 0.32. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The AREA is 71330. The PERIMETER is 1228.38. The MAJOR_AXIS is 469.02. The MINOR_AXIS is 201.62. The ECCENTRICITY is 0.9. The EQDIASQ is 301.36. The SOLIDITY is 0.94. The CONVEX_AREA is 75632. The EXTENT is 0.72. The ASPECT_RATIO is 2.33. The ROUNDNESS is 0.59. The COMPACTNESS is 0.64. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.41. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The AREA is 83537. The PERIMETER is 1198.39. The MAJOR_AXIS is 441.79. The MINOR_AXIS is 243.14. The ECCENTRICITY is 0.83. The EQDIASQ is 326.13. The SOLIDITY is 0.99. The CONVEX_AREA is 84719. The EXTENT is 0.76. The ASPECT_RATIO is 1.82. The ROUNDNESS is 0.73. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The AREA is 51277. The PERIMETER is 1564.61. The MAJOR_AXIS is 402.57. The MINOR_AXIS is 184.31. The ECCENTRICITY is 0.89. The EQDIASQ is 255.51. The SOLIDITY is 0.84. The CONVEX_AREA is 60808. The EXTENT is 0.66. The ASPECT_RATIO is 2.18. The ROUNDNESS is 0.26. The COMPACTNESS is 0.63. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.4. The SHAPEFACTOR_4 is 0.88.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The AREA is 67688. The PERIMETER is 1259.53. The MAJOR_AXIS is 460.92. The MINOR_AXIS is 200.53. The ECCENTRICITY is 0.9. The EQDIASQ is 293.57. The SOLIDITY is 0.92. The CONVEX_AREA is 73239. The EXTENT is 0.71. The ASPECT_RATIO is 2.3. The ROUNDNESS is 0.54. The COMPACTNESS is 0.64. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.41. The SHAPEFACTOR_4 is 0.93.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The AREA is 66895. The PERIMETER is 1404.94. The MAJOR_AXIS is 433.69. The MINOR_AXIS is 201.23. The ECCENTRICITY is 0.89. The EQDIASQ is 291.84. The SOLIDITY is 0.97. The CONVEX_AREA is 69307. The EXTENT is 0.66. The ASPECT_RATIO is 2.16. The ROUNDNESS is 0.43. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The AREA is 80982. The PERIMETER is 1198.7. The MAJOR_AXIS is 484.66. The MINOR_AXIS is 217.9. The ECCENTRICITY is 0.89. The EQDIASQ is 321.11. The SOLIDITY is 0.97. The CONVEX_AREA is 83644. The EXTENT is 0.79. The ASPECT_RATIO is 2.22. The ROUNDNESS is 0.71. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The AREA is 44718. The PERIMETER is 1162.81. The MAJOR_AXIS is 369.4. The MINOR_AXIS is 169.81. The ECCENTRICITY is 0.89. The EQDIASQ is 238.61. The SOLIDITY is 0.87. The CONVEX_AREA is 51643. The EXTENT is 0.57. The ASPECT_RATIO is 2.18. The ROUNDNESS is 0.42. The COMPACTNESS is 0.65. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.42. The SHAPEFACTOR_4 is 0.91.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The AREA is 67752. The PERIMETER is 1799.76. The MAJOR_AXIS is 374.83. The MINOR_AXIS is 254.1. The ECCENTRICITY is 0.74. The EQDIASQ is 293.71. The SOLIDITY is 0.91. The CONVEX_AREA is 74340. The EXTENT is 0.72. The ASPECT_RATIO is 1.48. The ROUNDNESS is 0.26. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.61. The SHAPEFACTOR_4 is 0.91.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The AREA is 83486. The PERIMETER is 1421.63. The MAJOR_AXIS is 464.8. The MINOR_AXIS is 247.9. The ECCENTRICITY is 0.85. The EQDIASQ is 326.03. The SOLIDITY is 0.94. The CONVEX_AREA is 89227. The EXTENT is 0.72. The ASPECT_RATIO is 1.87. The ROUNDNESS is 0.52. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.92.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The AREA is 70954. The PERIMETER is 1366.36. The MAJOR_AXIS is 430.34. The MINOR_AXIS is 214.81. The ECCENTRICITY is 0.87. The EQDIASQ is 300.57. The SOLIDITY is 0.96. The CONVEX_AREA is 73626. The EXTENT is 0.75. The ASPECT_RATIO is 2.0. The ROUNDNESS is 0.48. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The AREA is 65579. The PERIMETER is 1608.68. The MAJOR_AXIS is 401.89. The MINOR_AXIS is 226.6. The ECCENTRICITY is 0.83. The EQDIASQ is 288.96. The SOLIDITY is 0.93. The CONVEX_AREA is 70465. The EXTENT is 0.72. The ASPECT_RATIO is 1.77. The ROUNDNESS is 0.32. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.92.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The AREA is 99320. The PERIMETER is 1427.22. The MAJOR_AXIS is 491.88. The MINOR_AXIS is 260.14. The ECCENTRICITY is 0.85. The EQDIASQ is 355.61. The SOLIDITY is 0.97. The CONVEX_AREA is 102517. The EXTENT is 0.78. The ASPECT_RATIO is 1.89. The ROUNDNESS is 0.61. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The AREA is 98007. The PERIMETER is 1273.31. The MAJOR_AXIS is 493.99. The MINOR_AXIS is 254.77. The ECCENTRICITY is 0.86. The EQDIASQ is 353.25. The SOLIDITY is 0.98. The CONVEX_AREA is 99772. The EXTENT is 0.74. The ASPECT_RATIO is 1.94. The ROUNDNESS is 0.76. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The AREA is 60808. The PERIMETER is 1542.35. The MAJOR_AXIS is 385.18. The MINOR_AXIS is 218.34. The ECCENTRICITY is 0.82. The EQDIASQ is 278.25. The SOLIDITY is 0.91. The CONVEX_AREA is 66636. The EXTENT is 0.71. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.32. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.92.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The AREA is 81776. The PERIMETER is 1271.82. The MAJOR_AXIS is 450.86. The MINOR_AXIS is 233.21. The ECCENTRICITY is 0.86. The EQDIASQ is 322.68. The SOLIDITY is 0.97. The CONVEX_AREA is 84650. The EXTENT is 0.77. The ASPECT_RATIO is 1.93. The ROUNDNESS is 0.64. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The AREA is 78115. The PERIMETER is 1238.62. The MAJOR_AXIS is 492.33. The MINOR_AXIS is 205.0. The ECCENTRICITY is 0.91. The EQDIASQ is 315.37. The SOLIDITY is 0.96. The CONVEX_AREA is 81236. The EXTENT is 0.71. The ASPECT_RATIO is 2.4. The ROUNDNESS is 0.64. The COMPACTNESS is 0.64. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.41. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The AREA is 86580. The PERIMETER is 1503.32. The MAJOR_AXIS is 428.63. The MINOR_AXIS is 267.93. The ECCENTRICITY is 0.78. The EQDIASQ is 332.02. The SOLIDITY is 0.93. The CONVEX_AREA is 93500. The EXTENT is 0.73. The ASPECT_RATIO is 1.6. The ROUNDNESS is 0.48. The COMPACTNESS is 0.77. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.6. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The AREA is 59122. The PERIMETER is 1055.34. The MAJOR_AXIS is 405.36. The MINOR_AXIS is 192.71. The ECCENTRICITY is 0.88. The EQDIASQ is 274.37. The SOLIDITY is 0.98. The CONVEX_AREA is 60448. The EXTENT is 0.73. The ASPECT_RATIO is 2.1. The ROUNDNESS is 0.67. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The AREA is 76658. The PERIMETER is 1196.83. The MAJOR_AXIS is 432.88. The MINOR_AXIS is 228.78. The ECCENTRICITY is 0.85. The EQDIASQ is 312.42. The SOLIDITY is 0.97. The CONVEX_AREA is 78656. The EXTENT is 0.76. The ASPECT_RATIO is 1.89. The ROUNDNESS is 0.67. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The AREA is 88406. The PERIMETER is 1210.5. The MAJOR_AXIS is 458.9. The MINOR_AXIS is 247.41. The ECCENTRICITY is 0.84. The EQDIASQ is 335.5. The SOLIDITY is 0.98. The CONVEX_AREA is 90236. The EXTENT is 0.7. The ASPECT_RATIO is 1.85. The ROUNDNESS is 0.76. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The AREA is 63599. The PERIMETER is 1073.37. The MAJOR_AXIS is 387.05. The MINOR_AXIS is 226.26. The ECCENTRICITY is 0.81. The EQDIASQ is 284.56. The SOLIDITY is 0.91. The CONVEX_AREA is 69595. The EXTENT is 0.69. The ASPECT_RATIO is 1.71. The ROUNDNESS is 0.69. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.92.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The AREA is 75288. The PERIMETER is 1545.11. The MAJOR_AXIS is 428.86. The MINOR_AXIS is 230.88. The ECCENTRICITY is 0.84. The EQDIASQ is 309.61. The SOLIDITY is 0.94. The CONVEX_AREA is 80294. The EXTENT is 0.73. The ASPECT_RATIO is 1.86. The ROUNDNESS is 0.4. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.97.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The AREA is 65883. The PERIMETER is 1368.26. The MAJOR_AXIS is 414.99. The MINOR_AXIS is 208.48. The ECCENTRICITY is 0.86. The EQDIASQ is 289.63. The SOLIDITY is 0.94. The CONVEX_AREA is 70096. The EXTENT is 0.74. The ASPECT_RATIO is 1.99. The ROUNDNESS is 0.44. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The AREA is 101136. The PERIMETER is 1255.62. The MAJOR_AXIS is 475.22. The MINOR_AXIS is 271.33. The ECCENTRICITY is 0.82. The EQDIASQ is 358.85. The SOLIDITY is 0.99. The CONVEX_AREA is 102286. The EXTENT is 0.76. The ASPECT_RATIO is 1.75. The ROUNDNESS is 0.81. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The AREA is 64717. The PERIMETER is 1026.03. The MAJOR_AXIS is 416.62. The MINOR_AXIS is 198.4. The ECCENTRICITY is 0.88. The EQDIASQ is 287.05. The SOLIDITY is 0.99. The CONVEX_AREA is 65539. The EXTENT is 0.77. The ASPECT_RATIO is 2.1. The ROUNDNESS is 0.77. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 1.0.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The AREA is 84844. The PERIMETER is 1265.95. The MAJOR_AXIS is 489.61. The MINOR_AXIS is 225.02. The ECCENTRICITY is 0.89. The EQDIASQ is 328.67. The SOLIDITY is 0.96. The CONVEX_AREA is 87971. The EXTENT is 0.77. The ASPECT_RATIO is 2.18. The ROUNDNESS is 0.67. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The AREA is 71775. The PERIMETER is 1701.83. The MAJOR_AXIS is 414.84. The MINOR_AXIS is 244.18. The ECCENTRICITY is 0.81. The EQDIASQ is 302.3. The SOLIDITY is 0.9. The CONVEX_AREA is 79590. The EXTENT is 0.62. The ASPECT_RATIO is 1.7. The ROUNDNESS is 0.31. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 0.9.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The AREA is 87842. The PERIMETER is 1222.03. The MAJOR_AXIS is 492.01. The MINOR_AXIS is 228.26. The ECCENTRICITY is 0.89. The EQDIASQ is 334.43. The SOLIDITY is 0.99. The CONVEX_AREA is 88857. The EXTENT is 0.82. The ASPECT_RATIO is 2.16. The ROUNDNESS is 0.74. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The AREA is 93818. The PERIMETER is 1233.89. The MAJOR_AXIS is 478.68. The MINOR_AXIS is 251.67. The ECCENTRICITY is 0.85. The EQDIASQ is 345.62. The SOLIDITY is 0.98. The CONVEX_AREA is 95264. The EXTENT is 0.77. The ASPECT_RATIO is 1.9. The ROUNDNESS is 0.77. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The AREA is 75669. The PERIMETER is 1436.56. The MAJOR_AXIS is 415.89. The MINOR_AXIS is 239.32. The ECCENTRICITY is 0.82. The EQDIASQ is 310.39. The SOLIDITY is 0.94. The CONVEX_AREA is 80444. The EXTENT is 0.74. The ASPECT_RATIO is 1.74. The ROUNDNESS is 0.46. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The AREA is 74226. The PERIMETER is 1057.11. The MAJOR_AXIS is 396.1. The MINOR_AXIS is 239.55. The ECCENTRICITY is 0.8. The EQDIASQ is 307.42. The SOLIDITY is 0.99. The CONVEX_AREA is 75234. The EXTENT is 0.75. The ASPECT_RATIO is 1.65. The ROUNDNESS is 0.83. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.6. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The AREA is 70376. The PERIMETER is 1108.04. The MAJOR_AXIS is 425.95. The MINOR_AXIS is 212.05. The ECCENTRICITY is 0.87. The EQDIASQ is 299.34. The SOLIDITY is 0.98. The CONVEX_AREA is 72036. The EXTENT is 0.72. The ASPECT_RATIO is 2.01. The ROUNDNESS is 0.72. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The AREA is 61458. The PERIMETER is 1268.52. The MAJOR_AXIS is 380.2. The MINOR_AXIS is 216.39. The ECCENTRICITY is 0.82. The EQDIASQ is 279.73. The SOLIDITY is 0.91. The CONVEX_AREA is 67303. The EXTENT is 0.73. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.48. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The AREA is 44436. The PERIMETER is 1056.62. The MAJOR_AXIS is 376.86. The MINOR_AXIS is 152.19. The ECCENTRICITY is 0.91. The EQDIASQ is 237.86. The SOLIDITY is 0.94. The CONVEX_AREA is 47489. The EXTENT is 0.75. The ASPECT_RATIO is 2.48. The ROUNDNESS is 0.5. The COMPACTNESS is 0.63. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.4. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The AREA is 71581. The PERIMETER is 1464.89. The MAJOR_AXIS is 351.68. The MINOR_AXIS is 275.71. The ECCENTRICITY is 0.62. The EQDIASQ is 301.89. The SOLIDITY is 0.92. The CONVEX_AREA is 77983. The EXTENT is 0.68. The ASPECT_RATIO is 1.28. The ROUNDNESS is 0.42. The COMPACTNESS is 0.86. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.74. The SHAPEFACTOR_4 is 0.94.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The AREA is 90228. The PERIMETER is 1240.99. The MAJOR_AXIS is 479.92. The MINOR_AXIS is 240.21. The ECCENTRICITY is 0.87. The EQDIASQ is 338.94. The SOLIDITY is 0.98. The CONVEX_AREA is 91630. The EXTENT is 0.73. The ASPECT_RATIO is 2.0. The ROUNDNESS is 0.74. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The AREA is 74838. The PERIMETER is 1098.34. The MAJOR_AXIS is 434.65. The MINOR_AXIS is 221.92. The ECCENTRICITY is 0.86. The EQDIASQ is 308.69. The SOLIDITY is 0.98. The CONVEX_AREA is 76018. The EXTENT is 0.75. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.78. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The AREA is 102777. The PERIMETER is 1316.4. The MAJOR_AXIS is 480.66. The MINOR_AXIS is 274.21. The ECCENTRICITY is 0.82. The EQDIASQ is 361.75. The SOLIDITY is 0.98. The CONVEX_AREA is 104730. The EXTENT is 0.74. The ASPECT_RATIO is 1.75. The ROUNDNESS is 0.75. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The AREA is 78001. The PERIMETER is 1133.22. The MAJOR_AXIS is 418.06. The MINOR_AXIS is 243.27. The ECCENTRICITY is 0.81. The EQDIASQ is 315.14. The SOLIDITY is 0.96. The CONVEX_AREA is 81085. The EXTENT is 0.75. The ASPECT_RATIO is 1.72. The ROUNDNESS is 0.76. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The AREA is 93411. The PERIMETER is 1219.11. The MAJOR_AXIS is 481.98. The MINOR_AXIS is 249.51. The ECCENTRICITY is 0.86. The EQDIASQ is 344.87. The SOLIDITY is 0.98. The CONVEX_AREA is 95702. The EXTENT is 0.72. The ASPECT_RATIO is 1.93. The ROUNDNESS is 0.79. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The AREA is 71995. The PERIMETER is 1761.0. The MAJOR_AXIS is 419.27. The MINOR_AXIS is 232.68. The ECCENTRICITY is 0.83. The EQDIASQ is 302.77. The SOLIDITY is 0.88. The CONVEX_AREA is 81891. The EXTENT is 0.66. The ASPECT_RATIO is 1.8. The ROUNDNESS is 0.29. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.94.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The AREA is 73019. The PERIMETER is 1119.12. The MAJOR_AXIS is 440.89. The MINOR_AXIS is 219.62. The ECCENTRICITY is 0.87. The EQDIASQ is 304.91. The SOLIDITY is 0.96. The CONVEX_AREA is 76015. The EXTENT is 0.73. The ASPECT_RATIO is 2.01. The ROUNDNESS is 0.73. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The AREA is 83503. The PERIMETER is 1990.2. The MAJOR_AXIS is 449.68. The MINOR_AXIS is 252.09. The ECCENTRICITY is 0.83. The EQDIASQ is 326.07. The SOLIDITY is 0.92. The CONVEX_AREA is 91040. The EXTENT is 0.7. The ASPECT_RATIO is 1.78. The ROUNDNESS is 0.26. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 0.94.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The AREA is 71971. The PERIMETER is 1607.95. The MAJOR_AXIS is 441.08. The MINOR_AXIS is 213.79. The ECCENTRICITY is 0.87. The EQDIASQ is 302.71. The SOLIDITY is 0.95. The CONVEX_AREA is 75975. The EXTENT is 0.61. The ASPECT_RATIO is 2.06. The ROUNDNESS is 0.35. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.97.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The AREA is 99319. The PERIMETER is 1336.04. The MAJOR_AXIS is 485.27. The MINOR_AXIS is 263.93. The ECCENTRICITY is 0.84. The EQDIASQ is 355.61. The SOLIDITY is 0.98. The CONVEX_AREA is 101299. The EXTENT is 0.75. The ASPECT_RATIO is 1.84. The ROUNDNESS is 0.7. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The AREA is 97523. The PERIMETER is 1212.46. The MAJOR_AXIS is 468.62. The MINOR_AXIS is 266.03. The ECCENTRICITY is 0.82. The EQDIASQ is 352.38. The SOLIDITY is 0.99. The CONVEX_AREA is 98477. The EXTENT is 0.75. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.83. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The AREA is 95002. The PERIMETER is 1276.77. The MAJOR_AXIS is 488.2. The MINOR_AXIS is 253.01. The ECCENTRICITY is 0.86. The EQDIASQ is 347.79. The SOLIDITY is 0.97. The CONVEX_AREA is 98425. The EXTENT is 0.71. The ASPECT_RATIO is 1.93. The ROUNDNESS is 0.73. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The AREA is 83176. The PERIMETER is 1142.56. The MAJOR_AXIS is 442.99. The MINOR_AXIS is 241.24. The ECCENTRICITY is 0.84. The EQDIASQ is 325.43. The SOLIDITY is 0.98. The CONVEX_AREA is 84990. The EXTENT is 0.77. The ASPECT_RATIO is 1.84. The ROUNDNESS is 0.8. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The AREA is 66494. The PERIMETER is 1084.08. The MAJOR_AXIS is 421.89. The MINOR_AXIS is 205.8. The ECCENTRICITY is 0.87. The EQDIASQ is 290.97. The SOLIDITY is 0.97. The CONVEX_AREA is 68650. The EXTENT is 0.72. The ASPECT_RATIO is 2.05. The ROUNDNESS is 0.71. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The AREA is 78504. The PERIMETER is 2356.8. The MAJOR_AXIS is 454.82. The MINOR_AXIS is 231.67. The ECCENTRICITY is 0.86. The EQDIASQ is 316.16. The SOLIDITY is 0.91. The CONVEX_AREA is 86230. The EXTENT is 0.73. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.18. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.48. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The AREA is 88421. The PERIMETER is 2138.69. The MAJOR_AXIS is 454.07. The MINOR_AXIS is 285.39. The ECCENTRICITY is 0.78. The EQDIASQ is 335.53. The SOLIDITY is 0.86. The CONVEX_AREA is 102622. The EXTENT is 0.65. The ASPECT_RATIO is 1.59. The ROUNDNESS is 0.24. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.87.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The AREA is 79791. The PERIMETER is 1154.02. The MAJOR_AXIS is 483.25. The MINOR_AXIS is 212.68. The ECCENTRICITY is 0.9. The EQDIASQ is 318.74. The SOLIDITY is 0.99. The CONVEX_AREA is 80766. The EXTENT is 0.79. The ASPECT_RATIO is 2.27. The ROUNDNESS is 0.75. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.43. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The AREA is 62622. The PERIMETER is 1081.58. The MAJOR_AXIS is 381.02. The MINOR_AXIS is 215.26. The ECCENTRICITY is 0.83. The EQDIASQ is 282.37. The SOLIDITY is 0.93. The CONVEX_AREA is 67086. The EXTENT is 0.71. The ASPECT_RATIO is 1.77. The ROUNDNESS is 0.67. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The AREA is 63072. The PERIMETER is 1943.85. The MAJOR_AXIS is 396.61. The MINOR_AXIS is 225.19. The ECCENTRICITY is 0.82. The EQDIASQ is 283.38. The SOLIDITY is 0.89. The CONVEX_AREA is 71077. The EXTENT is 0.7. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.21. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.9.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The AREA is 64036. The PERIMETER is 1162.11. The MAJOR_AXIS is 415.75. The MINOR_AXIS is 205.7. The ECCENTRICITY is 0.87. The EQDIASQ is 285.54. The SOLIDITY is 0.92. The CONVEX_AREA is 69546. The EXTENT is 0.69. The ASPECT_RATIO is 2.02. The ROUNDNESS is 0.6. The COMPACTNESS is 0.69. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.95.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The AREA is 77257. The PERIMETER is 1141.37. The MAJOR_AXIS is 399.48. The MINOR_AXIS is 247.67. The ECCENTRICITY is 0.78. The EQDIASQ is 313.63. The SOLIDITY is 0.98. The CONVEX_AREA is 78635. The EXTENT is 0.75. The ASPECT_RATIO is 1.61. The ROUNDNESS is 0.75. The COMPACTNESS is 0.79. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.62. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The AREA is 80745. The PERIMETER is 1522.31. The MAJOR_AXIS is 455.29. The MINOR_AXIS is 232.8. The ECCENTRICITY is 0.86. The EQDIASQ is 320.64. The SOLIDITY is 0.93. The CONVEX_AREA is 86705. The EXTENT is 0.71. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.44. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The AREA is 100291. The PERIMETER is 1232.92. The MAJOR_AXIS is 471.68. The MINOR_AXIS is 271.65. The ECCENTRICITY is 0.82. The EQDIASQ is 357.34. The SOLIDITY is 0.99. The CONVEX_AREA is 101143. The EXTENT is 0.76. The ASPECT_RATIO is 1.74. The ROUNDNESS is 0.83. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.57. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The AREA is 82943. The PERIMETER is 2218.36. The MAJOR_AXIS is 442.24. The MINOR_AXIS is 262.86. The ECCENTRICITY is 0.8. The EQDIASQ is 324.97. The SOLIDITY is 0.89. The CONVEX_AREA is 92706. The EXTENT is 0.67. The ASPECT_RATIO is 1.68. The ROUNDNESS is 0.21. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.91.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The AREA is 85638. The PERIMETER is 2086.71. The MAJOR_AXIS is 456.23. The MINOR_AXIS is 269.55. The ECCENTRICITY is 0.81. The EQDIASQ is 330.21. The SOLIDITY is 0.87. The CONVEX_AREA is 98419. The EXTENT is 0.68. The ASPECT_RATIO is 1.69. The ROUNDNESS is 0.25. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.89.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The AREA is 73633. The PERIMETER is 1077.49. The MAJOR_AXIS is 419.57. The MINOR_AXIS is 228.12. The ECCENTRICITY is 0.84. The EQDIASQ is 306.19. The SOLIDITY is 0.98. The CONVEX_AREA is 74959. The EXTENT is 0.75. The ASPECT_RATIO is 1.84. The ROUNDNESS is 0.8. The COMPACTNESS is 0.73. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.53. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The AREA is 63231. The PERIMETER is 1107.59. The MAJOR_AXIS is 427.69. The MINOR_AXIS is 192.81. The ECCENTRICITY is 0.89. The EQDIASQ is 283.74. The SOLIDITY is 0.95. The CONVEX_AREA is 66893. The EXTENT is 0.65. The ASPECT_RATIO is 2.22. The ROUNDNESS is 0.65. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.44. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The AREA is 91766. The PERIMETER is 1402.02. The MAJOR_AXIS is 458.17. The MINOR_AXIS is 259.6. The ECCENTRICITY is 0.82. The EQDIASQ is 341.82. The SOLIDITY is 0.96. The CONVEX_AREA is 95776. The EXTENT is 0.75. The ASPECT_RATIO is 1.76. The ROUNDNESS is 0.59. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The AREA is 72202. The PERIMETER is 1085.22. The MAJOR_AXIS is 429.57. The MINOR_AXIS is 215.8. The ECCENTRICITY is 0.86. The EQDIASQ is 303.2. The SOLIDITY is 0.98. The CONVEX_AREA is 73635. The EXTENT is 0.75. The ASPECT_RATIO is 1.99. The ROUNDNESS is 0.77. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The AREA is 73334. The PERIMETER is 1099.47. The MAJOR_AXIS is 413.74. The MINOR_AXIS is 227.96. The ECCENTRICITY is 0.83. The EQDIASQ is 305.57. The SOLIDITY is 0.97. The CONVEX_AREA is 75478. The EXTENT is 0.76. The ASPECT_RATIO is 1.81. The ROUNDNESS is 0.76. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The AREA is 78625. The PERIMETER is 1400.43. The MAJOR_AXIS is 447.73. The MINOR_AXIS is 229.51. The ECCENTRICITY is 0.86. The EQDIASQ is 316.4. The SOLIDITY is 0.95. The CONVEX_AREA is 82517. The EXTENT is 0.74. The ASPECT_RATIO is 1.95. The ROUNDNESS is 0.5. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The AREA is 91594. The PERIMETER is 2203.26. The MAJOR_AXIS is 463.45. The MINOR_AXIS is 264.55. The ECCENTRICITY is 0.82. The EQDIASQ is 341.5. The SOLIDITY is 0.94. The CONVEX_AREA is 97782. The EXTENT is 0.75. The ASPECT_RATIO is 1.75. The ROUNDNESS is 0.24. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.54. The SHAPEFACTOR_4 is 0.95.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The AREA is 70736. The PERIMETER is 1125.76. The MAJOR_AXIS is 353.84. The MINOR_AXIS is 256.9. The ECCENTRICITY is 0.69. The EQDIASQ is 300.11. The SOLIDITY is 0.97. The CONVEX_AREA is 72818. The EXTENT is 0.72. The ASPECT_RATIO is 1.38. The ROUNDNESS is 0.7. The COMPACTNESS is 0.85. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.72. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The AREA is 99001. The PERIMETER is 1266.75. The MAJOR_AXIS is 480.3. The MINOR_AXIS is 264.24. The ECCENTRICITY is 0.84. The EQDIASQ is 355.04. The SOLIDITY is 0.98. The CONVEX_AREA is 100779. The EXTENT is 0.76. The ASPECT_RATIO is 1.82. The ROUNDNESS is 0.78. The COMPACTNESS is 0.74. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.55. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The AREA is 101281. The PERIMETER is 1219.19. The MAJOR_AXIS is 461.65. The MINOR_AXIS is 281.64. The ECCENTRICITY is 0.79. The EQDIASQ is 359.1. The SOLIDITY is 0.99. The CONVEX_AREA is 102136. The EXTENT is 0.77. The ASPECT_RATIO is 1.64. The ROUNDNESS is 0.86. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.61. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The AREA is 76076. The PERIMETER is 2272.14. The MAJOR_AXIS is 446.17. The MINOR_AXIS is 275.65. The ECCENTRICITY is 0.79. The EQDIASQ is 311.23. The SOLIDITY is 0.82. The CONVEX_AREA is 93056. The EXTENT is 0.63. The ASPECT_RATIO is 1.62. The ROUNDNESS is 0.19. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.79.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The AREA is 77567. The PERIMETER is 1682.11. The MAJOR_AXIS is 449.29. The MINOR_AXIS is 229.46. The ECCENTRICITY is 0.86. The EQDIASQ is 314.26. The SOLIDITY is 0.93. The CONVEX_AREA is 83221. The EXTENT is 0.74. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.34. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The AREA is 90330. The PERIMETER is 1272.63. The MAJOR_AXIS is 443.63. The MINOR_AXIS is 271.32. The ECCENTRICITY is 0.79. The EQDIASQ is 339.13. The SOLIDITY is 0.93. The CONVEX_AREA is 97406. The EXTENT is 0.69. The ASPECT_RATIO is 1.64. The ROUNDNESS is 0.7. The COMPACTNESS is 0.76. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.58. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The AREA is 96253. The PERIMETER is 1795.75. The MAJOR_AXIS is 449.73. The MINOR_AXIS is 283.08. The ECCENTRICITY is 0.78. The EQDIASQ is 350.08. The SOLIDITY is 0.96. The CONVEX_AREA is 100707. The EXTENT is 0.74. The ASPECT_RATIO is 1.59. The ROUNDNESS is 0.38. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.61. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The AREA is 73254. The PERIMETER is 1967.18. The MAJOR_AXIS is 429.62. The MINOR_AXIS is 233.91. The ECCENTRICITY is 0.84. The EQDIASQ is 305.4. The SOLIDITY is 0.91. The CONVEX_AREA is 80327. The EXTENT is 0.71. The ASPECT_RATIO is 1.84. The ROUNDNESS is 0.24. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.93.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The AREA is 78934. The PERIMETER is 1145.33. The MAJOR_AXIS is 463.97. The MINOR_AXIS is 224.53. The ECCENTRICITY is 0.88. The EQDIASQ is 317.02. The SOLIDITY is 0.98. The CONVEX_AREA is 80847. The EXTENT is 0.72. The ASPECT_RATIO is 2.07. The ROUNDNESS is 0.76. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.47. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The AREA is 72587. The PERIMETER is 1089.32. The MAJOR_AXIS is 404.81. The MINOR_AXIS is 241.27. The ECCENTRICITY is 0.8. The EQDIASQ is 304.01. The SOLIDITY is 0.93. The CONVEX_AREA is 78430. The EXTENT is 0.73. The ASPECT_RATIO is 1.68. The ROUNDNESS is 0.77. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.95.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The AREA is 90386. The PERIMETER is 1191.74. The MAJOR_AXIS is 484.73. The MINOR_AXIS is 237.91. The ECCENTRICITY is 0.87. The EQDIASQ is 339.24. The SOLIDITY is 0.99. The CONVEX_AREA is 91173. The EXTENT is 0.79. The ASPECT_RATIO is 2.04. The ROUNDNESS is 0.8. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The AREA is 61882. The PERIMETER is 1113.62. The MAJOR_AXIS is 415.4. The MINOR_AXIS is 193.68. The ECCENTRICITY is 0.88. The EQDIASQ is 280.7. The SOLIDITY is 0.94. The CONVEX_AREA is 65589. The EXTENT is 0.75. The ASPECT_RATIO is 2.14. The ROUNDNESS is 0.63. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The AREA is 54988. The PERIMETER is 1080.31. The MAJOR_AXIS is 407.4. The MINOR_AXIS is 176.63. The ECCENTRICITY is 0.9. The EQDIASQ is 264.6. The SOLIDITY is 0.95. The CONVEX_AREA is 57636. The EXTENT is 0.74. The ASPECT_RATIO is 2.31. The ROUNDNESS is 0.59. The COMPACTNESS is 0.65. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.42. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The AREA is 69497. The PERIMETER is 1277.69. The MAJOR_AXIS is 460.32. The MINOR_AXIS is 200.85. The ECCENTRICITY is 0.9. The EQDIASQ is 297.47. The SOLIDITY is 0.93. The CONVEX_AREA is 74663. The EXTENT is 0.73. The ASPECT_RATIO is 2.29. The ROUNDNESS is 0.54. The COMPACTNESS is 0.65. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.42. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
150
+ {"text": "The AREA is 73946. The PERIMETER is 1306.46. The MAJOR_AXIS is 455.39. The MINOR_AXIS is 209.0. The ECCENTRICITY is 0.89. The EQDIASQ is 306.84. The SOLIDITY is 0.96. The CONVEX_AREA is 77061. The EXTENT is 0.74. The ASPECT_RATIO is 2.18. The ROUNDNESS is 0.54. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.99.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
151
+ {"text": "The AREA is 62370. The PERIMETER is 1025.72. The MAJOR_AXIS is 403.48. The MINOR_AXIS is 204.04. The ECCENTRICITY is 0.86. The EQDIASQ is 281.8. The SOLIDITY is 0.95. The CONVEX_AREA is 65970. The EXTENT is 0.68. The ASPECT_RATIO is 1.98. The ROUNDNESS is 0.74. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
152
+ {"text": "The AREA is 75231. The PERIMETER is 1118.51. The MAJOR_AXIS is 436.28. The MINOR_AXIS is 224.88. The ECCENTRICITY is 0.86. The EQDIASQ is 309.49. The SOLIDITY is 0.96. The CONVEX_AREA is 78041. The EXTENT is 0.76. The ASPECT_RATIO is 1.94. The ROUNDNESS is 0.76. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
153
+ {"text": "The AREA is 81632. The PERIMETER is 1302.0. The MAJOR_AXIS is 445.49. The MINOR_AXIS is 235.26. The ECCENTRICITY is 0.85. The EQDIASQ is 322.39. The SOLIDITY is 0.97. The CONVEX_AREA is 83820. The EXTENT is 0.75. The ASPECT_RATIO is 1.89. The ROUNDNESS is 0.61. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.52. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
154
+ {"text": "The AREA is 113794. The PERIMETER is 1605.1. The MAJOR_AXIS is 451.17. The MINOR_AXIS is 335.0. The ECCENTRICITY is 0.67. The EQDIASQ is 380.64. The SOLIDITY is 0.93. The CONVEX_AREA is 122368. The EXTENT is 0.76. The ASPECT_RATIO is 1.35. The ROUNDNESS is 0.56. The COMPACTNESS is 0.84. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.71. The SHAPEFACTOR_4 is 0.96.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
155
+ {"text": "The AREA is 88942. The PERIMETER is 1145.69. The MAJOR_AXIS is 429.78. The MINOR_AXIS is 265.83. The ECCENTRICITY is 0.79. The EQDIASQ is 336.52. The SOLIDITY is 0.98. The CONVEX_AREA is 90725. The EXTENT is 0.74. The ASPECT_RATIO is 1.62. The ROUNDNESS is 0.85. The COMPACTNESS is 0.78. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.61. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
156
+ {"text": "The AREA is 83793. The PERIMETER is 1322.92. The MAJOR_AXIS is 456.78. The MINOR_AXIS is 237.92. The ECCENTRICITY is 0.85. The EQDIASQ is 326.63. The SOLIDITY is 0.95. The CONVEX_AREA is 87789. The EXTENT is 0.76. The ASPECT_RATIO is 1.92. The ROUNDNESS is 0.6. The COMPACTNESS is 0.72. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
157
+ {"text": "The AREA is 94993. The PERIMETER is 1188.8. The MAJOR_AXIS is 453.77. The MINOR_AXIS is 268.45. The ECCENTRICITY is 0.81. The EQDIASQ is 347.78. The SOLIDITY is 0.99. The CONVEX_AREA is 95799. The EXTENT is 0.74. The ASPECT_RATIO is 1.69. The ROUNDNESS is 0.84. The COMPACTNESS is 0.77. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.59. The SHAPEFACTOR_4 is 0.99.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
158
+ {"text": "The AREA is 89379. The PERIMETER is 1250.2. The MAJOR_AXIS is 480.18. The MINOR_AXIS is 242.66. The ECCENTRICITY is 0.86. The EQDIASQ is 337.34. The SOLIDITY is 0.96. The CONVEX_AREA is 93365. The EXTENT is 0.76. The ASPECT_RATIO is 1.98. The ROUNDNESS is 0.72. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
159
+ {"text": "The AREA is 77050. The PERIMETER is 1725.63. The MAJOR_AXIS is 438.91. The MINOR_AXIS is 247.69. The ECCENTRICITY is 0.83. The EQDIASQ is 313.21. The SOLIDITY is 0.89. The CONVEX_AREA is 86274. The EXTENT is 0.71. The ASPECT_RATIO is 1.77. The ROUNDNESS is 0.33. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.51. The SHAPEFACTOR_4 is 0.9.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
160
+ {"text": "The AREA is 73688. The PERIMETER is 1193.8. The MAJOR_AXIS is 434.15. The MINOR_AXIS is 239.41. The ECCENTRICITY is 0.83. The EQDIASQ is 306.3. The SOLIDITY is 0.9. The CONVEX_AREA is 81750. The EXTENT is 0.68. The ASPECT_RATIO is 1.81. The ROUNDNESS is 0.65. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.9.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
161
+ {"text": "The AREA is 35873. The PERIMETER is 971.09. The MAJOR_AXIS is 326.21. The MINOR_AXIS is 143.6. The ECCENTRICITY is 0.9. The EQDIASQ is 213.72. The SOLIDITY is 0.95. The CONVEX_AREA is 37935. The EXTENT is 0.77. The ASPECT_RATIO is 2.27. The ROUNDNESS is 0.48. The COMPACTNESS is 0.66. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.43. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
162
+ {"text": "The AREA is 98363. The PERIMETER is 1308.22. The MAJOR_AXIS is 499.59. The MINOR_AXIS is 251.24. The ECCENTRICITY is 0.86. The EQDIASQ is 353.89. The SOLIDITY is 0.99. The CONVEX_AREA is 99364. The EXTENT is 0.78. The ASPECT_RATIO is 1.99. The ROUNDNESS is 0.72. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 1.0.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
163
+ {"text": "The AREA is 88455. The PERIMETER is 2006.81. The MAJOR_AXIS is 477.36. The MINOR_AXIS is 243.77. The ECCENTRICITY is 0.86. The EQDIASQ is 335.6. The SOLIDITY is 0.95. The CONVEX_AREA is 92868. The EXTENT is 0.71. The ASPECT_RATIO is 1.96. The ROUNDNESS is 0.28. The COMPACTNESS is 0.7. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.49. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
164
+ {"text": "The AREA is 62862. The PERIMETER is 1086.58. The MAJOR_AXIS is 432.0. The MINOR_AXIS is 188.4. The ECCENTRICITY is 0.9. The EQDIASQ is 282.91. The SOLIDITY is 0.97. The CONVEX_AREA is 65062. The EXTENT is 0.75. The ASPECT_RATIO is 2.29. The ROUNDNESS is 0.67. The COMPACTNESS is 0.65. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.43. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
165
+ {"text": "The AREA is 81534. The PERIMETER is 1857.9. The MAJOR_AXIS is 456.7. The MINOR_AXIS is 248.64. The ECCENTRICITY is 0.84. The EQDIASQ is 322.2. The SOLIDITY is 0.92. The CONVEX_AREA is 88760. The EXTENT is 0.72. The ASPECT_RATIO is 1.84. The ROUNDNESS is 0.3. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.91.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
166
+ {"text": "The AREA is 83358. The PERIMETER is 1243.56. The MAJOR_AXIS is 486.53. The MINOR_AXIS is 221.6. The ECCENTRICITY is 0.89. The EQDIASQ is 325.78. The SOLIDITY is 0.98. The CONVEX_AREA is 84896. The EXTENT is 0.75. The ASPECT_RATIO is 2.2. The ROUNDNESS is 0.68. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.98.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
167
+ {"text": "The AREA is 69025. The PERIMETER is 1993.15. The MAJOR_AXIS is 442.18. The MINOR_AXIS is 207.92. The ECCENTRICITY is 0.88. The EQDIASQ is 296.45. The SOLIDITY is 0.92. The CONVEX_AREA is 74936. The EXTENT is 0.75. The ASPECT_RATIO is 2.13. The ROUNDNESS is 0.22. The COMPACTNESS is 0.67. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.45. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
168
+ {"text": "The AREA is 85339. The PERIMETER is 1171.86. The MAJOR_AXIS is 464.48. The MINOR_AXIS is 238.47. The ECCENTRICITY is 0.86. The EQDIASQ is 329.63. The SOLIDITY is 0.96. The CONVEX_AREA is 88654. The EXTENT is 0.76. The ASPECT_RATIO is 1.95. The ROUNDNESS is 0.78. The COMPACTNESS is 0.71. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.5. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
169
+ {"text": "The AREA is 83252. The PERIMETER is 2418.31. The MAJOR_AXIS is 507.15. The MINOR_AXIS is 229.1. The ECCENTRICITY is 0.89. The EQDIASQ is 325.58. The SOLIDITY is 0.87. The CONVEX_AREA is 95756. The EXTENT is 0.71. The ASPECT_RATIO is 2.21. The ROUNDNESS is 0.18. The COMPACTNESS is 0.64. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.41. The SHAPEFACTOR_4 is 0.91.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
170
+ {"text": "The AREA is 69816. The PERIMETER is 1637.18. The MAJOR_AXIS is 398.57. The MINOR_AXIS is 230.71. The ECCENTRICITY is 0.82. The EQDIASQ is 298.15. The SOLIDITY is 0.93. The CONVEX_AREA is 75427. The EXTENT is 0.75. The ASPECT_RATIO is 1.73. The ROUNDNESS is 0.33. The COMPACTNESS is 0.75. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.56. The SHAPEFACTOR_4 is 0.97.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
171
+ {"text": "The AREA is 107831. The PERIMETER is 1380.11. The MAJOR_AXIS is 436.34. The MINOR_AXIS is 320.24. The ECCENTRICITY is 0.68. The EQDIASQ is 370.53. The SOLIDITY is 0.96. The CONVEX_AREA is 112106. The EXTENT is 0.75. The ASPECT_RATIO is 1.36. The ROUNDNESS is 0.71. The COMPACTNESS is 0.85. The SHAPEFACTOR_1 is 0.0. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.72. The SHAPEFACTOR_4 is 0.98.", "label": "Siit_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
172
+ {"text": "The AREA is 64171. The PERIMETER is 1246.57. The MAJOR_AXIS is 422.11. The MINOR_AXIS is 202.61. The ECCENTRICITY is 0.88. The EQDIASQ is 285.84. The SOLIDITY is 0.92. The CONVEX_AREA is 69600. The EXTENT is 0.72. The ASPECT_RATIO is 2.08. The ROUNDNESS is 0.52. The COMPACTNESS is 0.68. The SHAPEFACTOR_1 is 0.01. The SHAPEFACTOR_2 is 0.0. The SHAPEFACTOR_3 is 0.46. The SHAPEFACTOR_4 is 0.96.", "label": "Kirmizi_Pistachio", "dataset": "amirhosseinmirzaie-pistachio-types-detection", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/amirhosseinmirzaie-pistachio-types-detection/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/ananthr1-weather-prediction/metadata.json ADDED
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1
+ {
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+ "dataset": "ananthr1-weather-prediction",
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+ "benchmark": "unipredict",
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+ "sub_benchmark": "",
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+ "task_type": "clf",
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+ "data_type": "mixed",
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+ "target_column": "weather",
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+ "label_values": [
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+ "rain",
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+ "snow",
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+ "sun",
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+ "fog",
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+ "drizzle"
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+ ],
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+ "num_labels": 5,
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+ "train_samples": 1312,
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+ "test_samples": 149,
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+ "train_label_distribution": {
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+ "sun": 576,
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+ "drizzle": 47,
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+ "rain": 576,
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+ "snow": 23,
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+ "fog": 90
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+ },
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+ "test_label_distribution": {
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+ "sun": 64,
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+ "drizzle": 6,
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+ "rain": 65,
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+ "fog": 11,
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+ "snow": 3
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+ }
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+ }
classification/unipredict/ananthr1-weather-prediction/test.csv ADDED
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36
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37
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+ 2013-03-26,0.0,16.7,6.1,1.7,sun
classification/unipredict/ananthr1-weather-prediction/test.jsonl ADDED
@@ -0,0 +1,149 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The date is 2014-05-31. The precipitation is 0.0. The temp_max is 23.3. The temp_min is 10.0. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The date is 2012-06-24. The precipitation is 0.0. The temp_max is 19.4. The temp_min is 9.4. The wind is 2.0.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The date is 2015-11-21. The precipitation is 0.0. The temp_max is 8.9. The temp_min is 0.6. The wind is 4.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The date is 2012-06-29. The precipitation is 0.3. The temp_max is 21.7. The temp_min is 15.0. The wind is 1.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The date is 2013-03-19. The precipitation is 11.7. The temp_max is 12.8. The temp_min is 1.7. The wind is 3.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The date is 2015-11-11. The precipitation is 1.5. The temp_max is 11.1. The temp_min is 6.1. The wind is 4.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The date is 2015-01-12. The precipitation is 0.0. The temp_max is 11.1. The temp_min is 4.4. The wind is 1.6.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The date is 2013-12-15. The precipitation is 1.3. The temp_max is 11.7. The temp_min is 8.3. The wind is 3.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The date is 2012-07-12. The precipitation is 0.0. The temp_max is 25.6. The temp_min is 13.3. The wind is 2.7.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The date is 2012-04-22. The precipitation is 0.0. The temp_max is 23.3. The temp_min is 8.3. The wind is 2.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The date is 2014-12-22. The precipitation is 0.0. The temp_max is 10.6. The temp_min is 6.1. The wind is 1.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The date is 2015-12-19. The precipitation is 0.0. The temp_max is 8.3. The temp_min is 2.8. The wind is 4.1.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The date is 2015-02-21. The precipitation is 0.0. The temp_max is 12.2. The temp_min is 5.6. The wind is 4.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The date is 2015-05-04. The precipitation is 0.0. The temp_max is 17.2. The temp_min is 7.2. The wind is 5.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The date is 2014-03-01. The precipitation is 0.5. The temp_max is 7.2. The temp_min is 4.4. The wind is 4.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The date is 2013-11-09. The precipitation is 1.8. The temp_max is 11.1. The temp_min is 5.0. The wind is 1.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The date is 2013-01-01. The precipitation is 0.0. The temp_max is 5.0. The temp_min is -2.8. The wind is 2.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The date is 2013-04-02. The precipitation is 0.0. The temp_max is 13.9. The temp_min is 8.9. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The date is 2013-06-16. The precipitation is 0.0. The temp_max is 23.9. The temp_min is 12.8. The wind is 3.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The date is 2014-10-16. The precipitation is 0.0. The temp_max is 20.6. The temp_min is 11.1. The wind is 3.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The date is 2014-05-30. The precipitation is 0.0. The temp_max is 20.6. The temp_min is 8.9. The wind is 4.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The date is 2012-03-17. The precipitation is 9.4. The temp_max is 10.0. The temp_min is 0.6. The wind is 3.8.", "label": "snow", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The date is 2015-06-16. The precipitation is 0.0. The temp_max is 22.8. The temp_min is 11.1. The wind is 3.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The date is 2015-05-10. The precipitation is 0.0. The temp_max is 19.4. The temp_min is 11.1. The wind is 2.8.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The date is 2012-09-20. The precipitation is 0.0. The temp_max is 19.4. The temp_min is 10.0. The wind is 2.5.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The date is 2014-01-22. The precipitation is 0.5. The temp_max is 9.4. The temp_min is 5.6. The wind is 2.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The date is 2012-01-03. The precipitation is 0.8. The temp_max is 11.7. The temp_min is 7.2. The wind is 2.3.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The date is 2012-08-16. The precipitation is 0.0. The temp_max is 34.4. The temp_min is 18.3. The wind is 2.8.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The date is 2012-05-24. The precipitation is 0.0. The temp_max is 17.2. The temp_min is 8.9. The wind is 3.3.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The date is 2013-02-01. The precipitation is 0.3. The temp_max is 11.7. The temp_min is 5.0. The wind is 2.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The date is 2012-11-05. The precipitation is 0.8. The temp_max is 15.0. The temp_min is 7.8. The wind is 4.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The date is 2012-05-29. The precipitation is 0.0. The temp_max is 16.1. The temp_min is 7.8. The wind is 1.8.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The date is 2013-11-17. The precipitation is 5.3. The temp_max is 11.7. The temp_min is 7.2. The wind is 5.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The date is 2014-10-17. The precipitation is 3.3. The temp_max is 16.7. The temp_min is 11.7. The wind is 3.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The date is 2012-03-19. The precipitation is 2.0. The temp_max is 7.2. The temp_min is -1.1. The wind is 3.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The date is 2014-10-01. The precipitation is 0.0. The temp_max is 18.3. The temp_min is 11.1. The wind is 2.1.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The date is 2015-07-12. The precipitation is 0.0. The temp_max is 26.1. The temp_min is 16.7. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The date is 2014-11-22. The precipitation is 0.5. The temp_max is 9.4. The temp_min is 6.7. The wind is 4.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The date is 2015-07-10. The precipitation is 0.0. The temp_max is 21.1. The temp_min is 16.7. The wind is 3.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The date is 2015-06-29. The precipitation is 0.0. The temp_max is 28.9. The temp_min is 17.2. The wind is 2.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The date is 2012-03-20. The precipitation is 3.6. The temp_max is 7.8. The temp_min is 2.2. The wind is 6.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The date is 2015-02-25. The precipitation is 4.1. The temp_max is 10.0. The temp_min is 6.7. The wind is 1.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The date is 2014-03-19. The precipitation is 0.5. The temp_max is 11.1. The temp_min is 3.3. The wind is 5.1.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The date is 2015-10-10. The precipitation is 28.7. The temp_max is 21.1. The temp_min is 13.3. The wind is 4.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The date is 2013-12-09. The precipitation is 0.0. The temp_max is 1.1. The temp_min is -4.9. The wind is 1.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The date is 2015-01-27. The precipitation is 0.8. The temp_max is 11.1. The temp_min is 8.3. The wind is 2.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The date is 2012-09-19. The precipitation is 0.0. The temp_max is 23.9. The temp_min is 11.7. The wind is 1.9.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The date is 2014-11-28. The precipitation is 34.3. The temp_max is 12.8. The temp_min is 3.3. The wind is 5.8.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The date is 2012-12-09. The precipitation is 1.5. The temp_max is 6.7. The temp_min is 2.8. The wind is 2.1.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The date is 2015-10-14. The precipitation is 0.0. The temp_max is 15.0. The temp_min is 10.0. The wind is 5.0.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The date is 2012-09-18. The precipitation is 0.0. The temp_max is 27.8. The temp_min is 11.7. The wind is 1.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The date is 2015-01-05. The precipitation is 8.1. The temp_max is 12.2. The temp_min is 9.4. The wind is 6.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The date is 2013-05-10. The precipitation is 0.0. The temp_max is 26.1. The temp_min is 9.4. The wind is 1.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The date is 2013-11-24. The precipitation is 0.0. The temp_max is 11.7. The temp_min is 0.6. The wind is 0.9.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The date is 2012-06-09. The precipitation is 0.0. The temp_max is 17.2. The temp_min is 8.3. The wind is 4.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The date is 2014-09-30. The precipitation is 0.0. The temp_max is 19.4. The temp_min is 12.2. The wind is 2.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The date is 2012-09-28. The precipitation is 0.0. The temp_max is 25.0. The temp_min is 12.2. The wind is 1.1.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The date is 2015-03-10. The precipitation is 0.8. The temp_max is 13.3. The temp_min is 5.0. The wind is 2.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The date is 2014-09-26. The precipitation is 8.9. The temp_max is 20.0. The temp_min is 13.9. The wind is 3.3.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The date is 2012-07-30. The precipitation is 0.0. The temp_max is 19.4. The temp_min is 13.3. The wind is 3.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The date is 2013-12-29. The precipitation is 0.0. The temp_max is 7.2. The temp_min is 1.7. The wind is 1.1.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The date is 2015-11-30. The precipitation is 0.5. The temp_max is 5.6. The temp_min is -3.8. The wind is 1.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The date is 2014-03-21. The precipitation is 0.0. The temp_max is 10.6. The temp_min is 2.8. The wind is 3.8.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The date is 2014-10-06. The precipitation is 0.0. The temp_max is 25.6. The temp_min is 13.3. The wind is 2.5.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The date is 2013-10-30. The precipitation is 0.5. The temp_max is 15.0. The temp_min is 5.6. The wind is 3.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The date is 2014-08-12. The precipitation is 12.7. The temp_max is 27.2. The temp_min is 17.2. The wind is 3.1.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The date is 2013-12-28. The precipitation is 0.0. The temp_max is 9.4. The temp_min is 3.3. The wind is 1.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The date is 2015-12-07. The precipitation is 27.4. The temp_max is 11.1. The temp_min is 8.3. The wind is 3.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The date is 2015-10-04. The precipitation is 0.0. The temp_max is 22.8. The temp_min is 10.0. The wind is 3.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The date is 2015-04-13. The precipitation is 14.0. The temp_max is 11.7. The temp_min is 3.9. The wind is 3.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The date is 2013-03-04. The precipitation is 0.0. The temp_max is 13.3. The temp_min is 0.0. The wind is 3.9.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The date is 2014-05-28. The precipitation is 0.0. The temp_max is 18.9. The temp_min is 10.0. The wind is 3.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The date is 2013-06-01. The precipitation is 0.0. The temp_max is 22.8. The temp_min is 12.2. The wind is 2.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The date is 2015-03-20. The precipitation is 4.1. The temp_max is 13.9. The temp_min is 8.9. The wind is 1.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The date is 2014-05-27. The precipitation is 0.0. The temp_max is 20.0. The temp_min is 10.0. The wind is 2.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The date is 2012-09-15. The precipitation is 0.0. The temp_max is 22.2. The temp_min is 11.1. The wind is 1.9.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The date is 2014-03-05. The precipitation is 46.7. The temp_max is 15.6. The temp_min is 10.6. The wind is 3.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The date is 2014-10-28. The precipitation is 12.7. The temp_max is 15.0. The temp_min is 9.4. The wind is 3.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The date is 2014-05-07. The precipitation is 0.0. The temp_max is 18.3. The temp_min is 7.2. The wind is 1.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The date is 2015-05-12. The precipitation is 4.3. The temp_max is 15.6. The temp_min is 10.6. The wind is 3.3.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The date is 2015-11-01. The precipitation is 26.2. The temp_max is 12.2. The temp_min is 8.9. The wind is 6.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The date is 2012-07-11. The precipitation is 0.0. The temp_max is 27.8. The temp_min is 13.3. The wind is 2.9.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The date is 2015-12-27. The precipitation is 8.6. The temp_max is 4.4. The temp_min is 1.7. The wind is 2.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The date is 2013-02-22. The precipitation is 9.4. The temp_max is 7.8. The temp_min is 3.9. The wind is 8.1.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The date is 2013-12-03. The precipitation is 0.0. The temp_max is 5.0. The temp_min is -0.5. The wind is 5.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The date is 2012-11-22. The precipitation is 0.0. The temp_max is 8.9. The temp_min is 2.8. The wind is 1.5.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The date is 2013-07-24. The precipitation is 0.0. The temp_max is 31.1. The temp_min is 14.4. The wind is 2.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The date is 2015-10-22. The precipitation is 0.0. The temp_max is 16.1. The temp_min is 8.9. The wind is 2.7.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The date is 2015-05-21. The precipitation is 0.0. The temp_max is 25.6. The temp_min is 11.7. The wind is 2.1.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The date is 2014-12-19. The precipitation is 3.0. The temp_max is 11.1. The temp_min is 7.2. The wind is 4.3.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The date is 2015-04-20. The precipitation is 0.0. The temp_max is 22.8. The temp_min is 7.8. The wind is 2.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The date is 2014-10-18. The precipitation is 15.0. The temp_max is 19.4. The temp_min is 13.9. The wind is 1.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The date is 2012-10-10. The precipitation is 0.0. The temp_max is 12.2. The temp_min is 8.3. The wind is 1.4.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The date is 2013-06-28. The precipitation is 0.0. The temp_max is 30.6. The temp_min is 16.1. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The date is 2014-09-12. The precipitation is 0.0. The temp_max is 24.4. The temp_min is 12.8. The wind is 5.9.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The date is 2014-08-05. The precipitation is 0.0. The temp_max is 25.0. The temp_min is 13.9. The wind is 2.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The date is 2015-03-30. The precipitation is 1.8. The temp_max is 17.8. The temp_min is 10.6. The wind is 2.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The date is 2015-05-09. The precipitation is 0.0. The temp_max is 26.7. The temp_min is 9.4. The wind is 2.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The date is 2012-01-25. The precipitation is 8.1. The temp_max is 8.9. The temp_min is 4.4. The wind is 5.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The date is 2013-10-16. The precipitation is 0.0. The temp_max is 12.8. The temp_min is 8.9. The wind is 2.7.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The date is 2014-08-21. The precipitation is 0.0. The temp_max is 21.1. The temp_min is 11.1. The wind is 1.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The date is 2013-09-23. The precipitation is 2.8. The temp_max is 16.1. The temp_min is 11.1. The wind is 4.5.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The date is 2015-06-19. The precipitation is 0.5. The temp_max is 23.9. The temp_min is 13.3. The wind is 3.2.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The date is 2015-01-13. The precipitation is 0.0. The temp_max is 9.4. The temp_min is 2.8. The wind is 2.7.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The date is 2014-12-21. The precipitation is 0.0. The temp_max is 12.8. The temp_min is 10.0. The wind is 5.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The date is 2012-05-07. The precipitation is 0.0. The temp_max is 23.9. The temp_min is 6.1. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The date is 2013-11-23. The precipitation is 0.0. The temp_max is 11.1. The temp_min is 1.1. The wind is 2.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The date is 2013-08-31. The precipitation is 0.0. The temp_max is 27.8. The temp_min is 13.9. The wind is 2.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The date is 2012-05-28. The precipitation is 0.0. The temp_max is 16.7. The temp_min is 10.0. The wind is 3.4.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The date is 2014-04-11. The precipitation is 0.0. The temp_max is 17.2. The temp_min is 5.0. The wind is 2.8.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The date is 2012-12-25. The precipitation is 13.5. The temp_max is 5.6. The temp_min is 2.8. The wind is 4.2.", "label": "snow", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The date is 2015-06-27. The precipitation is 0.0. The temp_max is 33.3. The temp_min is 17.2. The wind is 3.9.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The date is 2014-01-10. The precipitation is 4.3. The temp_max is 12.8. The temp_min is 8.3. The wind is 7.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The date is 2014-01-11. The precipitation is 21.3. The temp_max is 14.4. The temp_min is 7.2. The wind is 8.8.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The date is 2013-08-29. The precipitation is 19.3. The temp_max is 23.9. The temp_min is 18.3. The wind is 3.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The date is 2014-05-29. The precipitation is 0.0. The temp_max is 18.9. The temp_min is 11.1. The wind is 4.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The date is 2015-01-03. The precipitation is 0.0. The temp_max is 5.0. The temp_min is 1.7. The wind is 1.7.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The date is 2015-07-18. The precipitation is 0.0. The temp_max is 33.3. The temp_min is 17.8. The wind is 3.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The date is 2012-05-26. The precipitation is 0.0. The temp_max is 22.2. The temp_min is 8.9. The wind is 3.6.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The date is 2013-01-14. The precipitation is 0.0. The temp_max is 3.3. The temp_min is -2.2. The wind is 1.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The date is 2013-01-12. The precipitation is 0.0. The temp_max is 2.8. The temp_min is -3.9. The wind is 2.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The date is 2014-12-17. The precipitation is 2.8. The temp_max is 8.9. The temp_min is 6.1. The wind is 1.6.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The date is 2012-03-09. The precipitation is 3.6. The temp_max is 9.4. The temp_min is 5.0. The wind is 2.8.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The date is 2014-09-06. The precipitation is 0.0. The temp_max is 32.2. The temp_min is 15.0. The wind is 2.9.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The date is 2013-07-23. The precipitation is 0.0. The temp_max is 31.1. The temp_min is 13.9. The wind is 3.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The date is 2013-11-27. The precipitation is 0.0. The temp_max is 14.4. The temp_min is 5.6. The wind is 1.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The date is 2014-06-05. The precipitation is 0.0. The temp_max is 22.2. The temp_min is 10.0. The wind is 2.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The date is 2015-06-11. The precipitation is 0.0. The temp_max is 24.4. The temp_min is 11.1. The wind is 3.5.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The date is 2012-12-11. The precipitation is 3.0. The temp_max is 7.8. The temp_min is 5.6. The wind is 4.5.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The date is 2014-12-29. The precipitation is 0.0. The temp_max is 6.1. The temp_min is 0.6. The wind is 4.3.", "label": "fog", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The date is 2012-01-15. The precipitation is 5.3. The temp_max is 1.1. The temp_min is -3.3. The wind is 3.2.", "label": "snow", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The date is 2012-11-02. The precipitation is 5.6. The temp_max is 15.0. The temp_min is 10.6. The wind is 1.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The date is 2012-03-11. The precipitation is 13.7. The temp_max is 6.7. The temp_min is 2.8. The wind is 5.8.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The date is 2013-11-02. The precipitation is 12.7. The temp_max is 14.4. The temp_min is 8.3. The wind is 7.9.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The date is 2015-12-20. The precipitation is 4.3. The temp_max is 7.8. The temp_min is 4.4. The wind is 6.7.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The date is 2015-02-02. The precipitation is 7.4. The temp_max is 11.1. The temp_min is 5.0. The wind is 4.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The date is 2013-02-08. The precipitation is 0.0. The temp_max is 7.8. The temp_min is 2.2. The wind is 1.3.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The date is 2014-05-05. The precipitation is 5.1. The temp_max is 15.6. The temp_min is 9.4. The wind is 3.8.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The date is 2015-11-28. The precipitation is 0.0. The temp_max is 7.2. The temp_min is -2.7. The wind is 1.0.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The date is 2013-01-06. The precipitation is 2.0. The temp_max is 7.2. The temp_min is 2.8. The wind is 3.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The date is 2012-12-27. The precipitation is 4.1. The temp_max is 7.8. The temp_min is 3.3. The wind is 3.2.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The date is 2015-08-19. The precipitation is 0.0. The temp_max is 31.7. The temp_min is 16.1. The wind is 2.1.", "label": "drizzle", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The date is 2014-06-17. The precipitation is 1.3. The temp_max is 17.8. The temp_min is 10.0. The wind is 3.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The date is 2015-06-23. The precipitation is 0.0. The temp_max is 26.1. The temp_min is 11.7. The wind is 2.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The date is 2014-06-02. The precipitation is 0.0. The temp_max is 23.3. The temp_min is 11.1. The wind is 2.4.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The date is 2015-05-31. The precipitation is 0.0. The temp_max is 25.0. The temp_min is 11.7. The wind is 2.2.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The date is 2015-12-02. The precipitation is 2.5. The temp_max is 10.6. The temp_min is 4.4. The wind is 5.0.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The date is 2014-02-25. The precipitation is 0.3. The temp_max is 12.2. The temp_min is 3.9. The wind is 4.5.", "label": "rain", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The date is 2013-03-26. The precipitation is 0.0. The temp_max is 16.7. The temp_min is 6.1. The wind is 1.7.", "label": "sun", "dataset": "ananthr1-weather-prediction", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/ananthr1-weather-prediction/train.csv ADDED
@@ -0,0 +1,1313 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ date,precipitation,temp_max,temp_min,wind,weather
2
+ 2015-04-09,0.0,17.2,6.1,2.3,sun
3
+ 2013-11-10,0.0,11.1,8.3,4.4,sun
4
+ 2015-11-26,0.0,9.4,-1.0,4.3,sun
5
+ 2013-01-20,0.0,3.3,-0.6,2.1,drizzle
6
+ 2015-07-08,0.0,30.0,14.4,1.9,drizzle
7
+ 2014-11-30,0.0,2.8,-4.9,4.4,sun
8
+ 2015-01-29,0.0,12.2,3.3,2.9,sun
9
+ 2014-05-01,0.0,29.4,11.1,3.0,sun
10
+ 2014-07-04,0.0,23.9,13.9,3.6,sun
11
+ 2013-11-28,0.0,11.7,3.3,0.7,sun
12
+ 2013-04-03,0.0,16.7,7.8,1.6,sun
13
+ 2013-06-13,0.0,21.1,11.7,2.6,sun
14
+ 2014-08-01,0.0,28.9,15.0,3.3,sun
15
+ 2015-09-17,1.8,18.3,12.8,3.8,rain
16
+ 2015-10-13,1.3,16.7,9.4,3.2,rain
17
+ 2012-01-16,2.5,1.7,-2.8,5.0,snow
18
+ 2014-12-07,0.0,14.4,6.1,2.8,sun
19
+ 2014-11-07,0.0,14.4,7.2,2.3,sun
20
+ 2013-04-01,0.0,17.2,8.3,3.6,sun
21
+ 2015-12-03,12.7,15.6,7.8,5.9,rain
22
+ 2015-02-06,17.3,14.4,10.0,4.5,rain
23
+ 2012-09-07,0.0,32.2,13.3,3.1,sun
24
+ 2014-09-09,0.0,21.7,13.3,2.3,sun
25
+ 2014-06-26,0.0,21.1,14.4,4.1,sun
26
+ 2013-04-26,0.0,20.6,8.3,2.2,fog
27
+ 2015-04-08,0.0,17.2,6.1,1.7,sun
28
+ 2013-08-20,0.0,25.6,16.1,4.6,sun
29
+ 2014-11-29,3.6,4.4,-4.3,5.3,snow
30
+ 2013-07-11,0.0,22.8,12.2,3.0,sun
31
+ 2015-09-16,1.0,20.0,10.0,1.9,rain
32
+ 2013-04-27,0.0,13.9,10.6,5.9,sun
33
+ 2015-03-06,0.0,15.0,3.3,1.4,sun
34
+ 2013-09-03,2.3,25.0,16.7,1.7,rain
35
+ 2012-04-20,6.6,13.3,6.7,2.7,rain
36
+ 2015-03-25,5.1,14.4,7.2,4.4,rain
37
+ 2015-01-22,0.8,9.4,6.1,1.3,rain
38
+ 2015-03-28,0.0,15.6,9.4,5.7,sun
39
+ 2012-10-21,6.4,11.7,4.4,2.7,rain
40
+ 2013-07-15,0.0,27.8,14.4,4.6,sun
41
+ 2015-04-24,3.3,12.2,6.1,5.0,rain
42
+ 2013-11-06,3.8,12.8,7.8,1.7,rain
43
+ 2014-08-26,0.0,31.1,15.6,1.8,sun
44
+ 2012-07-22,1.0,20.6,12.2,3.9,rain
45
+ 2012-10-03,0.0,18.9,7.8,7.3,sun
46
+ 2012-12-31,0.0,3.3,-1.1,2.0,drizzle
47
+ 2013-09-30,18.5,13.9,10.0,6.3,rain
48
+ 2012-09-25,0.0,19.4,11.1,1.7,sun
49
+ 2014-01-12,1.5,11.1,5.6,8.1,rain
50
+ 2015-08-21,0.0,22.2,14.4,2.6,sun
51
+ 2013-08-02,2.0,17.2,15.0,2.0,rain
52
+ 2014-03-30,0.0,11.1,5.0,5.1,sun
53
+ 2013-02-16,0.0,11.1,3.9,5.6,rain
54
+ 2015-01-17,26.2,13.3,3.3,2.8,rain
55
+ 2012-05-09,0.0,13.3,6.7,3.9,rain
56
+ 2012-10-16,0.0,16.1,8.3,5.5,sun
57
+ 2015-06-22,0.0,25.0,12.8,2.4,sun
58
+ 2015-09-01,5.8,19.4,13.9,5.0,rain
59
+ 2013-10-27,1.8,13.9,8.3,4.4,rain
60
+ 2015-11-20,0.0,8.3,0.6,4.0,fog
61
+ 2014-10-22,32.0,15.6,11.7,5.0,rain
62
+ 2015-07-16,0.0,26.1,15.0,2.8,sun
63
+ 2012-04-25,10.7,16.7,8.9,2.6,rain
64
+ 2013-01-28,7.9,6.1,3.3,3.2,rain
65
+ 2015-03-19,0.0,15.6,8.3,1.9,sun
66
+ 2015-07-02,0.0,33.9,17.8,3.4,sun
67
+ 2014-06-08,0.0,23.3,12.2,2.1,sun
68
+ 2012-03-04,0.0,10.6,6.7,5.6,rain
69
+ 2014-01-04,0.0,7.8,0.6,2.7,fog
70
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+ {
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classification/unipredict/andrewmvd-fetal-health-classification/train.jsonl ADDED
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classification/unipredict/andrewmvd-udemy-courses/metadata.json ADDED
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