Datasets:
text stringlengths 25 426 |
|---|
Question: 75 - 30
Answer: 45 |
Question: 97 - 76
Answer: 21 |
Question: 86 - 86
Answer: 0 |
Question: 60 - 21
Answer: 39 |
Question: 43 - 35
Answer: 8 |
Question: 63 - 35
Answer: 28 |
Question: 88 - 27
Answer: 61 |
Question: 89 - 88
Answer: 1 |
Question: 95 - 30
Answer: 65 |
Question: 71 - 42
Answer: 29 |
Question: 91 - 46
Answer: 45 |
Question: 45 - 24
Answer: 21 |
Question: 38 - 18
Answer: 20 |
Question: 99 - 78
Answer: 21 |
Question: 92 - 21
Answer: 71 |
Question: 85 - 51
Answer: 34 |
Question: 66 - 41
Answer: 25 |
Question: 49 - 1
Answer: 48 |
Question: 68 - 61
Answer: 7 |
Question: 91 - 16
Answer: 75 |
Question: 76 - 38
Answer: 38 |
Question: 67 - 36
Answer: 31 |
Question: 33 - 30
Answer: 3 |
Question: 95 - 55
Answer: 40 |
Question: 40 - 34
Answer: 6 |
Question: 97 - 18
Answer: 79 |
Question: 51 - 23
Answer: 28 |
Question: 52 - 15
Answer: 37 |
Question: 43 - 26
Answer: 17 |
Question: 66 - 23
Answer: 43 |
Question: 57 - 6
Answer: 51 |
Question: 97 - 20
Answer: 77 |
Question: 98 - 42
Answer: 56 |
Question: 66 - 37
Answer: 29 |
Question: 86 - 11
Answer: 75 |
Question: 92 - 31
Answer: 61 |
Question: 77 - 17
Answer: 60 |
Question: 73 - 26
Answer: 47 |
Question: 55 - 47
Answer: 8 |
Question: 38 - 10
Answer: 28 |
Question: 23 - 7
Answer: 16 |
Question: 88 - 52
Answer: 36 |
Question: 61 - 15
Answer: 46 |
Question: 92 - 49
Answer: 43 |
Question: 65 - 53
Answer: 12 |
Question: 86 - 42
Answer: 44 |
Question: 58 - 6
Answer: 52 |
Question: 70 - 15
Answer: 55 |
Question: 25 - 7
Answer: 18 |
Question: 85 - 1
Answer: 84 |
Question: 34 - 24
Answer: 10 |
Question: 60 - 36
Answer: 24 |
Question: 66 - 17
Answer: 49 |
Question: 94 - 92
Answer: 2 |
Question: 47 - 5
Answer: 42 |
Question: 63 - 26
Answer: 37 |
Question: 38 - 11
Answer: 27 |
Question: 81 - 38
Answer: 43 |
Question: 76 - 43
Answer: 33 |
Question: 84 - 42
Answer: 42 |
Question: 77 - 5
Answer: 72 |
Question: 80 - 26
Answer: 54 |
Question: 31 - 2
Answer: 29 |
Question: 36 - 21
Answer: 15 |
Question: 85 - 33
Answer: 52 |
Question: 80 - 78
Answer: 2 |
Question: 52 - 37
Answer: 15 |
Question: 24 - 19
Answer: 5 |
Question: 83 - 74
Answer: 9 |
Question: 65 - 14
Answer: 51 |
Question: 61 - 8
Answer: 53 |
Question: 76 - 59
Answer: 17 |
Question: 45 - 12
Answer: 33 |
Question: 71 - 27
Answer: 44 |
Question: 53 - 21
Answer: 32 |
Question: 29 - 20
Answer: 9 |
Question: 56 - 55
Answer: 1 |
Question: 89 - 16
Answer: 73 |
Question: 72 - 42
Answer: 30 |
Question: 99 - 31
Answer: 68 |
Question: 74 - 53
Answer: 21 |
Question: 53 - 19
Answer: 34 |
Question: 42 - 4
Answer: 38 |
Question: 34 - 32
Answer: 2 |
Question: 51 - 21
Answer: 30 |
Question: 81 - 71
Answer: 10 |
Question: 20 - 2
Answer: 18 |
Question: 93 - 82
Answer: 11 |
Question: 82 - 17
Answer: 65 |
Question: 36 - 35
Answer: 1 |
Question: 95 - 85
Answer: 10 |
Question: 89 - 46
Answer: 43 |
Question: 96 - 2
Answer: 94 |
Question: 74 - 31
Answer: 43 |
Question: 36 - 2
Answer: 34 |
Question: 55 - 7
Answer: 48 |
Question: 100 - 37
Answer: 63 |
Question: 64 - 21
Answer: 43 |
Question: 23 - 12
Answer: 11 |
Question: 95 - 37
Answer: 58 |
End of preview. Expand in Data Studio
Systematic Subtraction Curriculum (State-Persistent)
This dataset is a tiered subtraction curriculum designed for small LLMs (0.5B - 1.5B). It solves the "Hidden State" problem by explicitly tracking variable mutations during borrowing.
Curriculum Structure
- Tier 1: Mental Math (20%) - Direct subtraction for results < 100 to build instant recall.
- Tier 2: Debt & Negatives (10%) - Teaches the concept of negative results when subtracting larger from smaller.
- Tier 3: Explicit Scratchpad (70%) - Complex multi-digit subtraction with verbose state updates (e.g., "100s becomes 4").
Key Features
- Explicit Borrowing: Every borrow operation is announced, updating the "Value" of the next column in text.
- Ordered Learning: Designed for streaming training where the model masters basics before complex algorithms.
- Zero-Ghosting: No implicit math; every intermediate digit change is tokenized.
- Downloads last month
- 6