id stringlengths 21 21 | task stringclasses 1
value | language stringclasses 2
values | difficulty stringclasses 3
values | question stringlengths 3.02k 34.1k | answer stringlengths 1 9 | solution stringlengths 914 2.13k |
|---|---|---|---|---|---|---|
array_formula_en_0100 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Jelly | Grain | 1600 | 178 | 10 | S-08 | South | 5 | 3
2 | Onion | Dairy | ... | 105 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0101 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Pear | Beverage | 4900 | 120 | 15 | S-04 | South | 5 | 4
2 | Anchovy | Proc... | Bronze | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0102 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Chocolate | Vegetable | 4300 | 177 | 15 | S-04 | North | 5 | 5
2 | Tomato |... | 140 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0103 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Avocado | Seafood | 3000 | 101 | 15 | S-05 | North | 0 | 2
2 | Anchovy | Se... | Incheon | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0104 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Lemon | Processed | 4600 | 118 | 20 | S-04 | East | 10 | 5
2 | Avocado | Se... | Dairy | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0105 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Lemon | Processed | 4000 | 172 | 5 | S-05 | South | 8 | 2
2 | Shrimp | Grai... | 100 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0106 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Avocado | Meat | 1300 | 193 | 10 | S-04 | East
2 | Pepper | Dairy | 2600 | 69 | 5 | S-02 | North
3 | Pasta | Proces... | 1019800 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0107 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Water | Vegetable | 3600 | 24 | 0 | S-08 | North | 5 | 5
2 | Squid | Bevera... | Bronze | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0108 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Wine | Fruit | 4300 | 83 | 20 | S-04 | North | 5 | 5
2 | Garlic | Processed... | Processed | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0109 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Watermelon | Beverage | 4000 | 190 | 20 | S-08 | North | 8 | 5
2 | Strawber... | 104 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0110 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Ramen | Grain | 4000 | 170 | 5 | S-04 | South
2 | Watermelon | Vegetable | 4600 | 20 | 15 | S-01 | East
3 | Sprite ... | 5537400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0111 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Watermelon | Processed | 1300 | 73 | 0 | S-03 | South | 3 | 4
2 | Bacon | M... | Beverage | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0112 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mushroom | Vegetable | 3500 | 87 | 10 | S-05 | West
2 | Coconut | Vegetable | 1000 | 183 | 10 | S-02 | North
3 | Po... | 1674900 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0113 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mackerel | Meat | 700 | 70 | 20 | S-02 | East
2 | Walnut | Beverage | 3000 | 70 | 20 | S-06 | East
3 | Cherry | Veg... | 1284900 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0114 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Fig | Vegetable | 3800 | 194 | 0 | S-09 | North
2 | Whiskey | Fruit | 4900 | 136 | 15 | S-06 | South
3 | Makgeolli ... | 5943200 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0115 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Dumpling | Seafood | 3100 | 17 | 5 | S-08 | East
2 | Walnut | Vegetable | 2900 | 12 | 15 | S-08 | West
3 | Mackerel... | 5708100 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0116 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sprite | Fruit | 2800 | 19 | 20 | S-11 | East
2 | Tofu | Fruit | 4400 | 19 | 5 | S-09 | East
3 | Bread | Dairy | 16... | 5700700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0117 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Carrot | Grain | 4200 | 19 | 20 | S-05 | South
2 | Coconut | Beverage | 3500 | 84 | 15 | S-10 | North
3 | Orange | ... | 1300400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0118 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Rice | Fruit | 3800 | 187 | 10 | S-03 | East
2 | Cookie | Fruit | 1000 | 133 | 10 | S-04 | East
3 | Popcorn | Fruit... | 813600 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0119 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pear | Beverage | 1800 | 157 | 0 | S-02 | South
2 | Salmon | Beverage | 4300 | 126 | 0 | S-07 | East
3 | Egg | Dair... | 5127000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0120 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Kiwi | Beverage | 3500 | 164 | 20 | S-03 | South | 3 | 3
2 | Oyster | Veget... | 82 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0121 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Milk | Meat | 1100 | 14 | 0 | S-07 | South
2 | Ham | Processed | 1300 | 156 | 0 | S-10 | South
3 | Bacon | Vegetabl... | Grain | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products... |
array_formula_en_0122 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Seaweed | Grain | 1400 | 89 | 20 | S-03 | South | 0 | 5
2 | Cereal | Meat |... | 91 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0123 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sprite | Fruit | 2200 | 35 | 20 | S-07 | South
2 | Pomegranate | Processed | 4900 | 59 | 15 | S-06 | South
3 | Fig ... | 5994900 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0124 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Blueberry | Meat | 2600 | 160 | 5 | S-12 | East
2 | Cereal | Beverage | 1300 | 188 | 0 | S-08 | North
3 | Seaweed |... | 602300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers... |
array_formula_en_0125 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Bread | Meat | 3900 | 38 | 15 | S-03 | East | 8 | 3
2 | Clam | Processed | ... | 1 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0126 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Tomato | Dairy | 900 | 62 | 15 | S-08 | North
2 | Tofu | Seafood | 1500 | 194 | 20 | S-08 | East
3 | Clam | Beverag... | 31 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0127 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pepper | Grain | 600 | 180 | 0 | S-03 | South
2 | Wine | Meat | 1300 | 192 | 15 | S-01 | North
3 | Peanut | Meat | ... | 21 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0128 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Almond | Fruit | 1000 | 132 | 0 | S-07 | North
2 | Ham | Processed | 3600 | 29 | 10 | S-02 | East
3 | Butter | Dair... | 24 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0129 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cashew | Fruit | 1200 | 24 | 15 | S-06 | South
2 | Onion | Grain | 1100 | 118 | 10 | S-11 | North
3 | Pepper | Beve... | 108 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0130 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Bread | Grain | 700 | 77 | 10 | S-04 | South | 3 | 3
2 | Bacon | Grain | 22... | 44 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0131 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | GreenTea | Meat | 1200 | 72 | 0 | S-12 | West
2 | Cherry | Seafood | 3400 | 194 | 15 | S-05 | North
3 | Brandy | Me... | 104 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0132 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Egg | Processed | 4000 | 163 | 5 | S-06 | West
2 | Cereal | Meat | 4900 | 61 | 0 | S-06 | West
3 | Whiskey | Proces... | 28 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0133 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lemon | Dairy | 3700 | 29 | 15 | S-12 | East
2 | Tuna | Grain | 5000 | 43 | 20 | S-09 | West
3 | Cereal | Processed... | 132 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0134 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Blueberry | Grain | 4600 | 167 | 20 | S-10 | North | 0 | 3
2 | Jelly | Proc... | 2643 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0135 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Banana | Processed | 2600 | 116 | 15 | S-06 | North | 3 | 2
2 | Milkshake |... | 34 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0136 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cheese | Dairy | 4100 | 83 | 10 | S-04 | East
2 | Squid | Dairy | 1800 | 159 | 0 | S-10 | East
3 | Seaweed | Proces... | 82 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0137 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Water | Seafood | 600 | 45 | 20 | S-08 | North
2 | Pear | Vegetable | 1200 | 145 | 5 | S-12 | East
3 | IceCream | S... | 30 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0138 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Kiwi | Beverage | 3400 | 46 | 0 | S-09 | West
2 | Fig | Grain | 1400 | 13 | 20 | S-04 | North
3 | Mango | Beverage ... | 110 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0139 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Coconut | Beverage | 2700 | 19 | 5 | S-11 | North | 3 | 4
2 | Orange | Dair... | 891745 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0140 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Butter | Dairy | 2300 | 76 | 20 | S-12 | West
2 | Bread | Fruit | 2000 | 38 | 0 | S-11 | South
3 | Cheese | Fruit |... | 205 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0141 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Cookie | Fruit | 2000 | 146 | 20 | S-02 | East | 3 | 2
2 | Gum | Fruit | 90... | 1 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0142 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | GreenTea | Fruit | 1600 | 165 | 15 | S-12 | West
2 | Coffee | Processed | 3500 | 100 | 0 | S-10 | East
3 | Blueberr... | 44 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0143 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cookie | Meat | 3500 | 195 | 5 | S-04 | South
2 | Rice | Vegetable | 1400 | 139 | 0 | S-02 | West
3 | Cashew | Vege... | 32 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0144 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Pepper | Vegetable | 1400 | 170 | 15 | S-11 | South | 5 | 4
2 | Cereal | Ve... | 21 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0145 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Kiwi | Dairy | 4900 | 166 | 15 | S-08 | West
2 | Smoothie | Seafood | 2000 | 42 | 20 | S-03 | East
3 | Tofu | Fruit... | 31 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0146 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Avocado | Beverage | 1900 | 115 | 20 | S-04 | East | 10 | 1
2 | Pepper | Ve... | 8401 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0147 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Rice | Meat | 3100 | 129 | 0 | S-08 | North
2 | Peach | Meat | 4400 | 39 | 20 | S-02 | North
3 | Sausage | Fruit | ... | 102 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0148 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | FishCake | Fruit | 2300 | 66 | 20 | S-10 | East
2 | Orange | Processed | 3200 | 181 | 0 | S-05 | South
3 | Candy | ... | 25 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0149 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Bacon | Beverage | 2700 | 44 | 20 | S-12 | North | 8 | 2
2 | Garlic | Fruit... | 48 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **con... |
array_formula_en_0150 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Oyster | Grain | 3100 | 117 | 0 | S-08 | West | 5 | 5
2 | Chocolate | Fruit... | 8 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0151 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Banana | Grain | 3900 | 193 | 0 | S-04 | South | 10 | 3
2 | Juice | Fruit |... | 82 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0152 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Ramen | Seafood | 3900 | 98 | 10 | S-06 | East
2 | Apple | Grain | 3400 | 145 | 10 | S-09 | South
3 | Yogurt | Frui... | 5221015 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0153 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Clam | Meat | 2300 | 164 | 0 | S-10 | North
2 | Almond | Seafood | 600 | 182 | 5 | S-05 | West
3 | Seaweed | Meat |... | -1250000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0154 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Whiskey | Beverage | 3500 | 74 | 15 | S-03 | North | 8 | 5
2 | Popcorn | Se... | 79 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0155 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Peanut | Grain | 3700 | 120 | 10 | S-09 | West | 5 | 5
2 | Chocolate | Grai... | 822580 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0156 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Cookie | Meat | 4500 | 159 | 20 | S-06 | East | 8 | 5
2 | Plum | Seafood | ... | 6 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0157 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Egg | Seafood | 2000 | 189 | 20 | S-06 | West | 8 | 1
2 | Garlic | Fruit | ... | 8119 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0158 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | GreenTea | Dairy | 2500 | 102 | 15 | S-03 | North
2 | Coconut | Dairy | 3200 | 91 | 10 | S-01 | North
3 | Milk | Be... | 4326390 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0159 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Mackerel | Vegetable | 3600 | 138 | 10 | S-01 | South | 3 | 3
2 | Watermelo... | 3 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0160 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Squid | Meat | 700 | 64 | 20 | S-06 | East
2 | Butter | Seafood | 1000 | 138 | 20 | S-10 | East
3 | Yogurt | Seafoo... | 1587405 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0161 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Walnut | Seafood | 500 | 63 | 20 | S-07 | West | 3 | 5
2 | Cashew | Process... | 81 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0162 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Wine | Fruit | 4400 | 164 | 0 | S-11 | South | 10 | 3
2 | Jerky | Seafood |... | 10 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0163 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lettuce | Seafood | 1900 | 168 | 20 | S-06 | West
2 | Fig | Dairy | 3300 | 120 | 20 | S-10 | South
3 | IceCream | S... | 585815 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0164 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Milkshake | Meat | 4100 | 153 | 0 | S-11 | West | 8 | 2
2 | Pepper | Bevera... | 6 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0165 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Fig | Processed | 1200 | 163 | 10 | S-03 | South
2 | Cereal | Seafood | 2400 | 182 | 5 | S-05 | South
3 | Peanut | ... | 1686500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0166 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Apple | Vegetable | 2800 | 161 | 20 | S-08 | North | 0 | 5
2 | Soju | Dairy... | 4 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0167 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Kombucha | Grain | 2100 | 147 | 10 | S-06 | West
2 | Salmon | Dairy | 4800 | 16 | 0 | S-11 | West
3 | Grape | Proce... | 688200 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0168 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cereal | Meat | 700 | 26 | 20 | S-08 | East
2 | Smoothie | Vegetable | 3500 | 149 | 20 | S-08 | South
3 | Chocolate... | 2721900 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0169 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Pomegranate | Meat | 2500 | 26 | 20 | S-06 | East | 8 | 1
2 | Carrot | Dair... | 1610 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0170 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mackerel | Grain | 600 | 196 | 20 | S-12 | North
2 | Egg | Seafood | 4000 | 33 | 10 | S-10 | West
3 | Pear | Fruit ... | 1604900 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0171 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | FishCake | Meat | 4500 | 15 | 15 | S-10 | East | 8 | 4
2 | Mango | Beverage... | 808870 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0172 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chips | Fruit | 2400 | 177 | 5 | S-02 | East
2 | Dumpling | Grain | 2200 | 123 | 15 | S-02 | East
3 | Butter | Proc... | 4158695 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0173 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Banana | Grain | 4600 | 176 | 0 | S-09 | West
2 | IceCream | Processed | 2900 | 17 | 0 | S-09 | East
3 | Dumpling |... | 583365 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0174 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Shrimp | Seafood | 2500 | 166 | 10 | S-01 | North
2 | Mushroom | Grain | 3400 | 162 | 0 | S-04 | East
3 | Melon | D... | 5919880 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** q... |
array_formula_en_0175 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Milk | Meat | 2600 | 59 | 10 | S-12 | East | 5 | 4
2 | Coconut | Grain | 48... | 5 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0176 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Popcorn | Grain | 4300 | 167 | 5 | S-12 | West
2 | Cola | Vegetable | 800 | 164 | 20 | S-03 | South
3 | Anchovy | V... | 2005070 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0177 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Jelly | Vegetable | 3400 | 127 | 10 | S-01 | East | 10 | 5
2 | Cereal | Dai... | 58 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0178 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Kiwi | Processed | 4700 | 125 | 20 | S-04 | North
2 | Seaweed | Dairy | 1900 | 161 | 10 | S-02 | East
3 | Milkshake... | 1278210 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0179 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coconut | Processed | 3700 | 145 | 0 | S-09 | North
2 | Lemon | Fruit | 3900 | 104 | 15 | S-09 | South
3 | Tofu | B... | Dairy | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow th... |
array_formula_en_0180 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cherry | Fruit | 1900 | 88 | 5 | S-12 | South
2 | Strawberry | Seafood | 3700 | 188 | 0 | S-04 | North
3 | Plum | F... | 11 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0181 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Gum | Processed | 4100 | 192 | 0 | S-01 | North
2 | Milkshake | Meat | 600 | 44 | 15 | S-11 | West
3 | Onion | Beve... | 14 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0182 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | IceCream | Processed | 4600 | 195 | 20 | S-12 | West
2 | Peanut | Grain | 4800 | 46 | 10 | S-04 | South
3 | Cucumbe... | 9 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0183 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Fig | Vegetable | 2500 | 102 | 20 | S-09 | South | 10 | 4
2 | Peach | Proce... | 97 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0184 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Apple | Dairy | 700 | 41 | 10 | S-01 | South | 3 | 3
2 | Dumpling | Process... | 3 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0185 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Blueberry | Fruit | 3600 | 64 | 0 | S-02 | East
2 | Avocado | Dairy | 2100 | 61 | 20 | S-04 | East
3 | Soju | Seafo... | 8 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0186 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chocolate | Dairy | 3300 | 62 | 5 | S-10 | South
2 | Mackerel | Vegetable | 4000 | 28 | 10 | S-02 | West
3 | Dumpli... | 1937190 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0187 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | GreenTea | Meat | 800 | 90 | 0 | S-01 | North
2 | Egg | Vegetable | 3200 | 139 | 20 | S-02 | South
3 | Water | Beve... | 13 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0188 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Blueberry | Vegetable | 2100 | 17 | 15 | S-07 | East | 3 | 3
2 | Smoothie |... | 66961 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0189 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chocolate | Meat | 4500 | 181 | 5 | S-02 | West
2 | Jelly | Meat | 4800 | 124 | 5 | S-01 | North
3 | Cashew | Meat ... | 1564100 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0190 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Coconut | Meat | 1400 | 100 | 15 | S-06 | East | 10 | 1
2 | Bread | Dairy |... | 95 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0191 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Grape | Dairy | 3000 | 128 | 10 | S-08 | South
2 | Sprite | Fruit | 3600 | 94 | 5 | S-01 | North
3 | Candy | Vegeta... | 1050400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0192 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Raspberry | Meat | 2000 | 82 | 5 | S-09 | East | 0 | 1
2 | Ham | Seafood | ... | 103 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0193 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Ramen | Dairy | 1800 | 70 | 5 | S-07 | East | 10 | 5
2 | Sprite | Processed... | 29 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0194 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Peach | Seafood | 3500 | 167 | 0 | S-12 | East
2 | Seaweed | Seafood | 500 | 140 | 5 | S-09 | North
3 | Cola | Seaf... | 1283475 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0195 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pear | Vegetable | 4700 | 10 | 15 | S-06 | South
2 | Grape | Seafood | 4800 | 12 | 15 | S-07 | North
3 | Bread | Ve... | 1496525 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0196 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Blueberry | Fruit | 2200 | 196 | 15 | S-06 | East
2 | Grape | Vegetable | 3500 | 26 | 20 | S-10 | North
3 | Water |... | 1148135 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0197 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse | tax_rate | rating
---------------------------------------------------------------------------------------------
1 | Candy | Processed | 4700 | 112 | 10 | S-10 | West | 10 | 3
2 | Apple | Dair... | 1 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0198 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Avocado | Processed | 3600 | 86 | 15 | S-05 | East
2 | Egg | Meat | 700 | 189 | 0 | S-12 | South
3 | Ramen | Grain ... | 1 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
array_formula_en_0199 | array_formula | en | medium | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Candy | Meat | 2800 | 47 | 5 | S-04 | South
2 | Lobster | Seafood | 4200 | 51 | 15 | S-05 | South
3 | Gum | Grain |... | 1180645 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: medium
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwis... |
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