Datasets:
id stringlengths 21 21 | question stringlengths 3.91k 34.1k | answer stringlengths 1 9 | solution stringlengths 1.52k 2.13k | difficulty stringclasses 3
values |
|---|---|---|---|---|
array_formula_en_0000 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Salmon | Fruit | 3200 | 109 | 10 | S-04 | North
2 | Bread | Fruit | 1900 | 33 | 10 | S-06 | North
3 | Fig | Fruit |... | 7395000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0001 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Anchovy | Dairy | 1500 | 69 | 0 | S-02 | East
2 | Lime | Meat | 2500 | 152 | 20 | S-08 | North
3 | Mushroom | Fruit... | 8692300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0002 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Watermelon | Dairy | 1400 | 116 | 10 | S-11 | East
2 | Makgeolli | Meat | 4000 | 56 | 5 | S-06 | South
3 | Pepper |... | 1010500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0003 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Raspberry | Vegetable | 2200 | 168 | 20 | S-03 | East
2 | IceCream | Seafood | 4000 | 55 | 5 | S-05 | East
3 | Milk... | 1565500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0004 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Makgeolli | Seafood | 4300 | 58 | 15 | S-12 | East
2 | Juice | Beverage | 3700 | 108 | 5 | S-11 | South
3 | Lime | ... | 2109700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0005 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cherry | Fruit | 4600 | 191 | 15 | S-09 | North
2 | Strawberry | Fruit | 800 | 62 | 20 | S-02 | East
3 | Plum | Sea... | 5876400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0006 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coffee | Fruit | 3400 | 83 | 0 | S-05 | North
2 | Sausage | Meat | 2700 | 21 | 15 | S-02 | South
3 | GreenTea | Dai... | 2188300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0007 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Egg | Vegetable | 1000 | 123 | 5
2 | Crab | Fruit | 3900 | 71 | 20
3 | Anchovy | Beverage | 3300 | 160 | 20
4 | Tofu | Vegetable | 600 | 108 | 10
5 | Fig | Fruit... | 20 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0008 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pepper | Beverage | 3100 | 122 | 15 | S-01 | East
2 | Melon | Meat | 4100 | 171 | 5 | S-03 | West
3 | Banana | Dair... | 9291600 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0009 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Yogurt | Seafood | 1900 | 195 | 15 | S-09 | East
2 | Jerky | Dairy | 1400 | 40 | 5 | S-03 | North
3 | Cereal | Grai... | 1078200 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0010 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coffee | Fruit | 4600 | 79 | 20 | S-01 | West
2 | Juice | Seafood | 2200 | 127 | 15 | S-10 | East
3 | Crab | Bevera... | 1813000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0011 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | FishCake | Beverage | 2400 | 111 | 20
2 | Egg | Meat | 700 | 10 | 15
3 | Makgeolli | Seafood | 1600 | 197 | 5
4 | Mango | Beverage | 1800 | 25 | 20
5 | Pepper | ... | 755620 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
array_formula_en_0012 | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Soju | Grain | 4800 | 185 | 20 | S-01 | South
2 | Kiwi | Grain | 3800 | 137 | 15 | S-07 | North
3 | IceCream | Grai... | 1293300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... | easy |
NOLLI
A reasoning benchmark of 15 puzzle categories in Korean and English, with three difficulty tiers calibrated so a reference model scores roughly 75% / 50% / 25% on easy / medium / hard.
- 25 subsets (category x language), 300 items each — 7,500 items total
- Each subset is one
testsplit holding all three tiers (100 per tier) - Every puzzle is programmatically generated with a verified unique solution
Usage
from datasets import load_dataset
ds = load_dataset("JoonYong-Park/NOLLI", "sudoku_ko", split="test") # 300 items
print(ds[0]["question"])
# one difficulty tier
hard = ds.filter(lambda x: x["difficulty"] == "hard") # 100 items
Rows are ordered easy (0-99), medium (100-199), hard (200-299), matching the
numeric suffix of id.
Fields
| field | type | description |
|---|---|---|
id |
string | {category}_{lang}_{0000-0299} |
question |
string | prompt shown to the model |
answer |
string | gold answer (always a string — see note) |
solution |
string | step-by-step reference derivation (STEP 0-STEP 3) |
difficulty |
string | easy / medium / hard |
choices |
string | multiple-choice options — kinship_ko only |
answeris always a string. Numeric answers keep their exact form including leading zeros (e.g.number_baseballgold"0716432").sat_puzzlesstores its variable assignment as a JSON string — parse it withjson.loads().
Subsets
| subset | group | items |
|---|---|---|
array_formula_en |
Direct-translation | 300 |
array_formula_ko |
Direct-translation | 300 |
causal_dag_en |
Direct-translation | 300 |
causal_dag_ko |
Direct-translation | 300 |
cipher_en |
Script-specific | 300 |
cipher_ko |
Script-specific | 300 |
cryptarithmetic_en |
Script-specific | 300 |
cryptarithmetic_ko |
Script-specific | 300 |
inequality_en |
Direct-translation | 300 |
inequality_ko |
Direct-translation | 300 |
jamo_ko |
Korea-specific | 300 |
kinship_ko |
Korea-specific | 300 |
korean_units_ko |
Korea-specific | 300 |
minesweeper_en |
Direct-translation | 300 |
minesweeper_ko |
Direct-translation | 300 |
number_baseball_en |
Direct-translation | 300 |
number_baseball_ko |
Direct-translation | 300 |
saju_ko |
Korea-specific | 300 |
sat_puzzles_en |
Direct-translation | 300 |
sat_puzzles_ko |
Direct-translation | 300 |
sudoku_en |
Direct-translation | 300 |
sudoku_ko |
Direct-translation | 300 |
time_ko |
Korea-specific | 300 |
yacht_dice_en |
Direct-translation | 300 |
yacht_dice_ko |
Direct-translation | 300 |
Evaluation
The model receives a system message describing the task and output format, and the
question field as the user message. The final line is expected to be:
Answer: <your answer>
The reference grader also accepts 정답:, 최종 답:, and Final answer: as the
label, and uses the last such line in the response.
Difficulty calibration
Difficulty is defined operationally: generator parameters were tuned until the reference model landed in the target bands (easy 65-85%, medium 40-60%, hard 15-35%, with at least 10%p between adjacent tiers). The knob differs per category — search space, constraint density, noise, or reasoning depth — so tiers are comparable in measured difficulty rather than in any single structural parameter.
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