MMTU-benchmark/MMTU huggingface dataset:
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A      | B                  | C    | D      | E         | F          |
|---:|:-------|:-------------------|:-----|:-------|:----------|:-----------|
|  1 | Vstart | 10                 | V    | Notes: |           |            |
|  2 | Vstop  | 9                  | V    |        | Input Box | Output Box |
|  3 | Ren1   | 1100               | kOhm |        |           |            |
|  4 | Ren2   | 150                | kOhm |        |           |            |
|  5 | Rhys   | [Target Cell]      | kOhm |        |           |            |
|  6 |        |                    |      |        |           |            |
|  7 |        |                    |      |        |           |            |
|  8 | Ren1   | 1100               | kOhm |        |           |            |
|  9 | Ren2   | 147                | kOhm |        |           |            |
| 10 | Rhys   | 14.7               | kOhm |        |           |            |
| 11 | Vstart | 10.179591836734694 | V    |        |           |            |
| 12 | Vstop  | 8.97312925170068   | V    |        |           |            |



min_row: 1
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 5
target_cell_col_idx: 2
target_cell_value: 11.14649681528661
formula: =B3/(B2/1.15-1)-B4
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A                     | B           | C                  | D              | E   |
|---:|:----------------------|:------------|:-------------------|:---------------|:----|
|  6 | [Channel Information] |             | AINCOM             | Level Shift ON |     |
|  7 | Channel Name          | ADC1        | Data Rate          | 20sps          |     |
|  8 | Sampling Frequency    | 4.999       |                    |                |     |
|  9 | Input Frequency       | 0           |                    |                |     |
| 10 | Max Code              | 2147483647  |                    |                |     |
| 11 | Max Voltage           | 0.625       |                    |                |     |
| 12 | Min Code              | -2147483648 |                    |                |     |
| 13 | Min Voltage           | -0.625      |                    |                |     |
| 14 | Data Format           | Decimal     |                    |                |     |
| 15 | [Channel Data]        |             |                    |                |     |
| 16 |                       | 587         | Standard Deviation | [Target Cell]  |     |
| 17 |                       | 539         | Highest Value      | 1611           |     |
| 18 |                       | 547         | Lowest Value       | -7             |     |
| 19 |                       | 232         |                    |                |     |
| 20 |                       | 93          |                    |                |     |
| 21 |                       | 353         |                    |                |     |
| 22 |                       | 350         |                    |                |     |
| 23 |                       | 563         |                    |                |     |
| 24 |                       | 994         |                    |                |     |
| 25 |                       | 431         |                    |                |     |
| 26 |                       | 300         |                    |                |     |



min_row: 6
max_row: 26
min_col: 1
max_col: 5
target_cell_row_idx: 16
target_cell_col_idx: 4
target_cell_value: 241.01110385220352
formula: =STDEV(B16:B2199)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A      | B                 | C    | D      | E         | F          |
|---:|:-------|:------------------|:-----|:-------|:----------|:-----------|
|  1 | Vstart | 10                | V    | Notes: |           |            |
|  2 | Vstop  | 9                 | V    |        | Input Box | Output Box |
|  3 | Ren1   | 1100              | kOhm |        |           |            |
|  4 | Ren2   | 150               | kOhm |        |           |            |
|  5 | Rhys   | 11.14649681528661 | kOhm |        |           |            |
|  6 |        |                   |      |        |           |            |
|  7 |        |                   |      |        |           |            |
|  8 | Ren1   | 1100              | kOhm |        |           |            |
|  9 | Ren2   | 147               | kOhm |        |           |            |
| 10 | Rhys   | 14.7              | kOhm |        |           |            |
| 11 | Vstart | [Target Cell]     | V    |        |           |            |
| 12 | Vstop  | 8.97312925170068  | V    |        |           |            |



min_row: 1
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 11
target_cell_col_idx: 2
target_cell_value: 10.179591836734694
formula: =1.2*(1+B8/B9)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A      | B                  | C    | D   | E         | F          |
|---:|:-------|:-------------------|:-----|:----|:----------|:-----------|
|  2 | Vstop  | 9                  | V    |     | Input Box | Output Box |
|  3 | Ren1   | 1100               | kOhm |     |           |            |
|  4 | Ren2   | 150                | kOhm |     |           |            |
|  5 | Rhys   | 11.14649681528661  | kOhm |     |           |            |
|  6 |        |                    |      |     |           |            |
|  7 |        |                    |      |     |           |            |
|  8 | Ren1   | 1100               | kOhm |     |           |            |
|  9 | Ren2   | 147                | kOhm |     |           |            |
| 10 | Rhys   | 14.7               | kOhm |     |           |            |
| 11 | Vstart | 10.179591836734694 | V    |     |           |            |
| 12 | Vstop  | [Target Cell]      | V    |     |           |            |



min_row: 2
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 12
target_cell_col_idx: 2
target_cell_value: 8.97312925170068
formula: =1.15*(1+B8/(B9+B10))
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A   | B                 | C               | D       | E   | F   |
|---:|:----|:------------------|:----------------|:--------|:----|:----|
| 15 |     |                   |                 |         |     |     |
| 16 |     |                   |                 |         |     |     |
| 17 |     |                   |                 |         |     |     |
| 18 |     |                   |                 |         |     |     |
| 19 |     |                   |                 |         |     |     |
| 20 |     | ■Result           |                 |         |     |     |
| 21 |     | ●27.8℃            | DC power supply |         |     |     |
| 22 |     | ●Voltage Cal done |                 |         |     |     |
| 23 |     |                   |                 |         |     |     |
| 24 |     | VIN[V]            | 1CELL[V]        | SOH[％] |     |     |
| 25 |     | 6.15              | [Target Cell]   | 98      |     |     |
| 26 |     | 6.089             | 3.0445          | 98      |     |     |
| 27 |     | 6.041             | 3.0205          | 95      |     |     |
| 28 |     | 6.038             | 3.019           | 95      |     |     |
| 29 |     | 6.001             | 3.0005          | 61      |     |     |
| 30 |     | 5.946             | 2.973           | 44      |     |     |
| 31 |     | 5.822             | 2.911           | 31      |     |     |
| 32 |     | 5.717             | 2.8585          | 22      |     |     |
| 33 |     | 5.626             | 2.813           | 15      |     |     |
| 34 |     | 5.412             | 2.706           | 4       |     |     |
| 35 |     |                   |                 |         |     |     |



min_row: 15
max_row: 35
min_col: 1
max_col: 6
target_cell_row_idx: 25
target_cell_col_idx: 3
target_cell_value: 3.075
formula: =B25/2
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A   | B   | C     | D   | E   | F    | G   | H   | I   | J         | K             | L                 |
|---:|:----|:----|:------|:----|:----|:-----|:----|:----|:----|:----------|:--------------|:------------------|
|  1 |     |     |       |     |     |      |     |     |     | TACH DATA | TACH DATA     | RPM               |
|  2 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | [Target Cell] | 91.55413138017853 |
|  3 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  4 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  5 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  6 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  7 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  8 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
|  9 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
| 10 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
| 11 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |
| 12 | RD  | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535         | 91.55413138017853 |



min_row: 1
max_row: 12
min_col: 1
max_col: 12
target_cell_row_idx: 2
target_cell_col_idx: 11
target_cell_value: 65535
formula: =HEX2DEC(J2)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B      | C      |   D | E                  |      F | G   |        H |
|---:|:-----|:-------|:-------|----:|:-------------------|-------:|:----|---------:|
| 17 |      |        |        | 4.7 | 21                 | 114    | max | 0.731111 |
| 18 | FCCM | ILIM-1 | 1200.0 | 4.7 | 48.449999999999996 | 210    | min | 0.88108  |
| 19 |      |        |        | 4.7 | 51                 | 200    | typ | 0.95498  |
| 20 |      |        |        | 4.7 | 53.550000000000004 | 190    | max | 1.0334   |
| 21 | FCCM | ILIM   | 1200.0 | 4.7 | 48.449999999999996 | 189    | min | 0.959002 |
| 22 |      |        |        | 4.7 | 51                 | 180    | typ | 1.03766  |
| 23 |      |        |        | 4.7 | 53.550000000000004 | 171    | max | 1.12084  |
| 24 | DCM  | ILIM-1 | 400.0  | 4.7 | 48.449999999999996 | 157.5  | min | 1.10568  |
| 25 |      |        |        | 4.7 | 51                 | 150    | typ | 1.19254  |
| 26 |      |        |        | 4.7 | 53.550000000000004 | 142.5  | max | 1.28378  |
| 27 | DCM  | ILIM   | 400.0  | 4.7 | [Target Cell]      | 126    | min | 1.30533  |
| 28 |      |        |        | 4.7 | 51                 | 120    | typ | 1.40175  |
| 29 |      |        |        | 4.7 | 53.550000000000004 | 114    | max | 1.50215  |
| 30 | DCM  | ILIM-1 | 800.0  | 4.7 | 48.449999999999996 |  95.55 | min | 1.58135  |
| 31 |      |        |        | 4.7 | 51                 |  91    | typ | 1.68803  |
| 32 |      |        |        | 4.7 | 53.550000000000004 |  86.45 | max | 1.79775  |
| 33 | DCM  | ILIM   | 800.0  | 4.7 | 48.449999999999996 |  86.1  | min | 1.69242  |
| 34 |      |        |        | 4.7 | 51                 |  82    | typ | 1.80226  |
| 35 |      |        |        | 4.7 | 53.550000000000004 |  77.9  | max | 1.91468  |
| 36 | DCM  | ILIM-1 | 1200.0 | 4.7 | 48.449999999999996 |  65.1  | min | 2.00542  |
| 37 |      |        |        | 4.7 | 51                 |  62    | typ | 2.12124  |



min_row: 17
max_row: 37
min_col: 1
max_col: 8
target_cell_row_idx: 27
target_cell_col_idx: 5
target_cell_value: 48.449999999999996
formula: =E28*(1-$C$3)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B      | C      |   D | E                  |     F | G   |         H |
|---:|:-----|:-------|:-------|----:|:-------------------|------:|:----|----------:|
|  8 |      |        |        | 4.7 | 5.3549999999999995 | 285   | max | 0.0866818 |
|  9 | FCCM | ILIM   | 400.0  | 4.7 | 9.5                | 210   | min | 0.203417  |
| 10 |      |        |        | 4.7 | 10                 | 200   | typ | 0.22381   |
| 11 |      |        |        | 4.7 | 10.5               | 190   | max | 0.246135  |
| 12 | FCCM | ILIM-1 | 800.0  | 4.7 | 19                 | 168   | min | 0.47754   |
| 13 |      |        |        | 4.7 | 20                 | 160   | typ | 0.522222  |
| 14 |      |        |        | 4.7 | 21                 | 152   | max | 0.57052   |
| 15 | FCCM | ILIM   | 800.0  | 4.7 | 19                 | 126   | min | 0.615862  |
| 16 |      |        |        | 4.7 | 20                 | 120   | typ | 0.671429  |
| 17 |      |        |        | 4.7 | 21                 | 114   | max | 0.731111  |
| 18 | FCCM | ILIM-1 | 1200.0 | 4.7 | [Target Cell]      | 210   | min | 0.88108   |
| 19 |      |        |        | 4.7 | 51                 | 200   | typ | 0.95498   |
| 20 |      |        |        | 4.7 | 53.550000000000004 | 190   | max | 1.0334    |
| 21 | FCCM | ILIM   | 1200.0 | 4.7 | 48.449999999999996 | 189   | min | 0.959002  |
| 22 |      |        |        | 4.7 | 51                 | 180   | typ | 1.03766   |
| 23 |      |        |        | 4.7 | 53.550000000000004 | 171   | max | 1.12084   |
| 24 | DCM  | ILIM-1 | 400.0  | 4.7 | 48.449999999999996 | 157.5 | min | 1.10568   |
| 25 |      |        |        | 4.7 | 51                 | 150   | typ | 1.19254   |
| 26 |      |        |        | 4.7 | 53.550000000000004 | 142.5 | max | 1.28378   |
| 27 | DCM  | ILIM   | 400.0  | 4.7 | 48.449999999999996 | 126   | min | 1.30533   |
| 28 |      |        |        | 4.7 | 51                 | 120   | typ | 1.40175   |



min_row: 8
max_row: 28
min_col: 1
max_col: 8
target_cell_row_idx: 18
target_cell_col_idx: 5
target_cell_value: 48.449999999999996
formula: =E19*(1-$C$3)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | B   | C     | D   | E   | F    | G   | H   | I   | J         | K         | L                 |
|---:|:----|:------|:----|:----|:-----|:----|:----|:----|:----------|:----------|:------------------|
|  1 |     |       |     |     |      |     |     |     | TACH DATA | TACH DATA | RPM               |
|  2 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | [Target Cell]     |
|  3 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  4 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  5 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  6 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  7 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  8 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
|  9 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
| 10 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
| 11 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |
| 12 | @   | 100.0 | kHz | S   | 34.0 | A   | 8.0 | D   | FFFF      | 65535     | 91.55413138017853 |



min_row: 1
max_row: 12
min_col: 2
max_col: 12
target_cell_row_idx: 2
target_cell_col_idx: 12
target_cell_value: 91.55413138017853
formula: =100000*60/K2
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B      | C      |   D | E                  |      F | G   |        H |
|---:|:-----|:-------|:-------|----:|:-------------------|-------:|:----|---------:|
| 11 |      |        |        | 4.7 | 10.5               | 190    | max | 0.246135 |
| 12 | FCCM | ILIM-1 | 800.0  | 4.7 | 19                 | 168    | min | 0.47754  |
| 13 |      |        |        | 4.7 | 20                 | 160    | typ | 0.522222 |
| 14 |      |        |        | 4.7 | 21                 | 152    | max | 0.57052  |
| 15 | FCCM | ILIM   | 800.0  | 4.7 | 19                 | 126    | min | 0.615862 |
| 16 |      |        |        | 4.7 | 20                 | 120    | typ | 0.671429 |
| 17 |      |        |        | 4.7 | 21                 | 114    | max | 0.731111 |
| 18 | FCCM | ILIM-1 | 1200.0 | 4.7 | 48.449999999999996 | 210    | min | 0.88108  |
| 19 |      |        |        | 4.7 | 51                 | 200    | typ | 0.95498  |
| 20 |      |        |        | 4.7 | 53.550000000000004 | 190    | max | 1.0334   |
| 21 | FCCM | ILIM   | 1200.0 | 4.7 | [Target Cell]      | 189    | min | 0.959002 |
| 22 |      |        |        | 4.7 | 51                 | 180    | typ | 1.03766  |
| 23 |      |        |        | 4.7 | 53.550000000000004 | 171    | max | 1.12084  |
| 24 | DCM  | ILIM-1 | 400.0  | 4.7 | 48.449999999999996 | 157.5  | min | 1.10568  |
| 25 |      |        |        | 4.7 | 51                 | 150    | typ | 1.19254  |
| 26 |      |        |        | 4.7 | 53.550000000000004 | 142.5  | max | 1.28378  |
| 27 | DCM  | ILIM   | 400.0  | 4.7 | 48.449999999999996 | 126    | min | 1.30533  |
| 28 |      |        |        | 4.7 | 51                 | 120    | typ | 1.40175  |
| 29 |      |        |        | 4.7 | 53.550000000000004 | 114    | max | 1.50215  |
| 30 | DCM  | ILIM-1 | 800.0  | 4.7 | 48.449999999999996 |  95.55 | min | 1.58135  |
| 31 |      |        |        | 4.7 | 51                 |  91    | typ | 1.68803  |



min_row: 11
max_row: 31
min_col: 1
max_col: 8
target_cell_row_idx: 21
target_cell_col_idx: 5
target_cell_value: 48.449999999999996
formula: =E22*(1-$C$3)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B      | C      |   D | E                  |      F | G   |        H |
|---:|:-----|:-------|:-------|----:|:-------------------|-------:|:----|---------:|
| 14 |      |        |        | 4.7 | 21                 | 152    | max | 0.57052  |
| 15 | FCCM | ILIM   | 800.0  | 4.7 | 19                 | 126    | min | 0.615862 |
| 16 |      |        |        | 4.7 | 20                 | 120    | typ | 0.671429 |
| 17 |      |        |        | 4.7 | 21                 | 114    | max | 0.731111 |
| 18 | FCCM | ILIM-1 | 1200.0 | 4.7 | 48.449999999999996 | 210    | min | 0.88108  |
| 19 |      |        |        | 4.7 | 51                 | 200    | typ | 0.95498  |
| 20 |      |        |        | 4.7 | 53.550000000000004 | 190    | max | 1.0334   |
| 21 | FCCM | ILIM   | 1200.0 | 4.7 | 48.449999999999996 | 189    | min | 0.959002 |
| 22 |      |        |        | 4.7 | 51                 | 180    | typ | 1.03766  |
| 23 |      |        |        | 4.7 | 53.550000000000004 | 171    | max | 1.12084  |
| 24 | DCM  | ILIM-1 | 400.0  | 4.7 | [Target Cell]      | 157.5  | min | 1.10568  |
| 25 |      |        |        | 4.7 | 51                 | 150    | typ | 1.19254  |
| 26 |      |        |        | 4.7 | 53.550000000000004 | 142.5  | max | 1.28378  |
| 27 | DCM  | ILIM   | 400.0  | 4.7 | 48.449999999999996 | 126    | min | 1.30533  |
| 28 |      |        |        | 4.7 | 51                 | 120    | typ | 1.40175  |
| 29 |      |        |        | 4.7 | 53.550000000000004 | 114    | max | 1.50215  |
| 30 | DCM  | ILIM-1 | 800.0  | 4.7 | 48.449999999999996 |  95.55 | min | 1.58135  |
| 31 |      |        |        | 4.7 | 51                 |  91    | typ | 1.68803  |
| 32 |      |        |        | 4.7 | 53.550000000000004 |  86.45 | max | 1.79775  |
| 33 | DCM  | ILIM   | 800.0  | 4.7 | 48.449999999999996 |  86.1  | min | 1.69242  |
| 34 |      |        |        | 4.7 | 51                 |  82    | typ | 1.80226  |



min_row: 14
max_row: 34
min_col: 1
max_col: 8
target_cell_row_idx: 24
target_cell_col_idx: 5
target_cell_value: 48.449999999999996
formula: =E25*(1-$C$3)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B      | C      |   D | E                  |      F | G   |        H |
|---:|:-----|:-------|:-------|----:|:-------------------|-------:|:----|---------:|
| 20 |      |        |        | 4.7 | 53.550000000000004 | 190    | max | 1.0334   |
| 21 | FCCM | ILIM   | 1200.0 | 4.7 | 48.449999999999996 | 189    | min | 0.959002 |
| 22 |      |        |        | 4.7 | 51                 | 180    | typ | 1.03766  |
| 23 |      |        |        | 4.7 | 53.550000000000004 | 171    | max | 1.12084  |
| 24 | DCM  | ILIM-1 | 400.0  | 4.7 | 48.449999999999996 | 157.5  | min | 1.10568  |
| 25 |      |        |        | 4.7 | 51                 | 150    | typ | 1.19254  |
| 26 |      |        |        | 4.7 | 53.550000000000004 | 142.5  | max | 1.28378  |
| 27 | DCM  | ILIM   | 400.0  | 4.7 | 48.449999999999996 | 126    | min | 1.30533  |
| 28 |      |        |        | 4.7 | 51                 | 120    | typ | 1.40175  |
| 29 |      |        |        | 4.7 | 53.550000000000004 | 114    | max | 1.50215  |
| 30 | DCM  | ILIM-1 | 800.0  | 4.7 | [Target Cell]      |  95.55 | min | 1.58135  |
| 31 |      |        |        | 4.7 | 51                 |  91    | typ | 1.68803  |
| 32 |      |        |        | 4.7 | 53.550000000000004 |  86.45 | max | 1.79775  |
| 33 | DCM  | ILIM   | 800.0  | 4.7 | 48.449999999999996 |  86.1  | min | 1.69242  |
| 34 |      |        |        | 4.7 | 51                 |  82    | typ | 1.80226  |
| 35 |      |        |        | 4.7 | 53.550000000000004 |  77.9  | max | 1.91468  |
| 36 | DCM  | ILIM-1 | 1200.0 | 4.7 | 48.449999999999996 |  65.1  | min | 2.00542  |
| 37 |      |        |        | 4.7 | 51                 |  62    | typ | 2.12124  |
| 38 |      |        |        | 4.7 | 53.550000000000004 |  58.9  | max | 2.23819  |
| 39 | DCM  | ILIM   | 1200.0 | 4.7 | 48.449999999999996 |  53.55 | min | 2.2325   |
| 40 |      |        |        | 4.7 | 51                 |  51    | typ | 2.35     |



min_row: 20
max_row: 40
min_col: 1
max_col: 8
target_cell_row_idx: 30
target_cell_col_idx: 5
target_cell_value: 48.449999999999996
formula: =E31*(1-$C$3)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B    | C    | D    | E       | F       | G                  | H   | I                  | J       | K      |
|---:|:-----|:-----|:-----|:-----|:--------|:--------|:-------------------|:----|:-------------------|:--------|:-------|
|  1 | AVDD | AVSS | VREF | AINN | AINPmax | AINPmin | ±Vdiff             | G   | VCMmin             | < VCM < | VCMmax |
|  2 | 3.6  | 0    | 2048 | 1.8  | 3.6     | 0       | 1.8                | 1   | [Target Cell]      | 2.7     | 2.6    |
|  3 | 3.6  | 0    | 2048 | 1.8  | 3.5     | 0.1     | 1.7                | 1   | 0.95               | 2.65    | 2.65   |
|  4 | 3.6  | 0    | 2048 | 1.8  | 3.4     | 0.2     | 1.5999999999999999 | 1   | 0.8999999999999999 | 2.6     | 2.7    |
|  5 | 3.6  | 0    | 2048 | 1.8  | 3.3     | 0.3     | 1.4999999999999998 | 1   | 0.8499999999999999 | 2.55    | 2.75   |
|  6 | 3.6  | 0    | 2048 | 1.8  | 3.2     | 0.4     | 1.4000000000000001 | 1   | 0.8                | 2.5     | 2.8    |
|  7 | 3.6  | 0    | 2048 | 1.8  | 3.1     | 0.5     | 1.3                | 1   | 0.75               | 2.45    | 2.85   |
|  8 | 3.6  | 0    | 2048 | 1.8  | 3       | 0.6     | 1.2                | 1   | 0.7                | 2.4     | 2.9    |
|  9 | 3.6  | 0    | 2048 | 1.8  | 2.9     | 0.7     | 1.0999999999999999 | 1   | 0.6499999999999999 | 2.35    | 2.95   |
| 10 | 3.6  | 0    | 2048 | 1.8  | 2.8     | 0.8     | 0.9999999999999998 | 1   | 0.5999999999999999 | 2.3     | 3      |
| 11 | 3.6  | 0    | 2048 | 1.8  | 2.7     | 0.9     | 0.9000000000000001 | 1   | 0.55               | 2.25    | 3.05   |
| 12 | 3.6  | 0    | 2048 | 1.8  | 2.6     | 1       | 0.8                | 1   | 0.5                | 2.2     | 3.1    |



min_row: 1
max_row: 12
min_col: 1
max_col: 11
target_cell_row_idx: 2
target_cell_col_idx: 9
target_cell_value: 1
formula: =B2+0.1+(H2)*(G2)/2
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B    | C    | D    | E       | F       | G                  | H   | I                  | J             | K      |
|---:|:-----|:-----|:-----|:-----|:--------|:--------|:-------------------|:----|:-------------------|:--------------|:-------|
|  1 | AVDD | AVSS | VREF | AINN | AINPmax | AINPmin | ±Vdiff             | G   | VCMmin             | < VCM <       | VCMmax |
|  2 | 3.6  | 0    | 2048 | 1.8  | 3.6     | 0       | 1.8                | 1   | 1                  | [Target Cell] | 2.6    |
|  3 | 3.6  | 0    | 2048 | 1.8  | 3.5     | 0.1     | 1.7                | 1   | 0.95               | 2.65          | 2.65   |
|  4 | 3.6  | 0    | 2048 | 1.8  | 3.4     | 0.2     | 1.5999999999999999 | 1   | 0.8999999999999999 | 2.6           | 2.7    |
|  5 | 3.6  | 0    | 2048 | 1.8  | 3.3     | 0.3     | 1.4999999999999998 | 1   | 0.8499999999999999 | 2.55          | 2.75   |
|  6 | 3.6  | 0    | 2048 | 1.8  | 3.2     | 0.4     | 1.4000000000000001 | 1   | 0.8                | 2.5           | 2.8    |
|  7 | 3.6  | 0    | 2048 | 1.8  | 3.1     | 0.5     | 1.3                | 1   | 0.75               | 2.45          | 2.85   |
|  8 | 3.6  | 0    | 2048 | 1.8  | 3       | 0.6     | 1.2                | 1   | 0.7                | 2.4           | 2.9    |
|  9 | 3.6  | 0    | 2048 | 1.8  | 2.9     | 0.7     | 1.0999999999999999 | 1   | 0.6499999999999999 | 2.35          | 2.95   |
| 10 | 3.6  | 0    | 2048 | 1.8  | 2.8     | 0.8     | 0.9999999999999998 | 1   | 0.5999999999999999 | 2.3           | 3      |
| 11 | 3.6  | 0    | 2048 | 1.8  | 2.7     | 0.9     | 0.9000000000000001 | 1   | 0.55               | 2.25          | 3.05   |
| 12 | 3.6  | 0    | 2048 | 1.8  | 2.6     | 1       | 0.8                | 1   | 0.5                | 2.2           | 3.1    |



min_row: 1
max_row: 12
min_col: 1
max_col: 11
target_cell_row_idx: 2
target_cell_col_idx: 10
target_cell_value: 2.7
formula: =(E2+D2)/2
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A    | B    | C    | D    | E       | F       | G                  | H   | I                  | J       | K      |
|---:|:-----|:-----|:-----|:-----|:--------|:--------|:-------------------|:----|:-------------------|:--------|:-------|
|  1 | AVDD | AVSS | VREF | AINN | AINPmax | AINPmin | ±Vdiff             | G   | VCMmin             | < VCM < | VCMmax |
|  2 | 3.6  | 0    | 2048 | 1.8  | 3.6     | 0       | [Target Cell]      | 1   | 1                  | 2.7     | 2.6    |
|  3 | 3.6  | 0    | 2048 | 1.8  | 3.5     | 0.1     | 1.7                | 1   | 0.95               | 2.65    | 2.65   |
|  4 | 3.6  | 0    | 2048 | 1.8  | 3.4     | 0.2     | 1.5999999999999999 | 1   | 0.8999999999999999 | 2.6     | 2.7    |
|  5 | 3.6  | 0    | 2048 | 1.8  | 3.3     | 0.3     | 1.4999999999999998 | 1   | 0.8499999999999999 | 2.55    | 2.75   |
|  6 | 3.6  | 0    | 2048 | 1.8  | 3.2     | 0.4     | 1.4000000000000001 | 1   | 0.8                | 2.5     | 2.8    |
|  7 | 3.6  | 0    | 2048 | 1.8  | 3.1     | 0.5     | 1.3                | 1   | 0.75               | 2.45    | 2.85   |
|  8 | 3.6  | 0    | 2048 | 1.8  | 3       | 0.6     | 1.2                | 1   | 0.7                | 2.4     | 2.9    |
|  9 | 3.6  | 0    | 2048 | 1.8  | 2.9     | 0.7     | 1.0999999999999999 | 1   | 0.6499999999999999 | 2.35    | 2.95   |
| 10 | 3.6  | 0    | 2048 | 1.8  | 2.8     | 0.8     | 0.9999999999999998 | 1   | 0.5999999999999999 | 2.3     | 3      |
| 11 | 3.6  | 0    | 2048 | 1.8  | 2.7     | 0.9     | 0.9000000000000001 | 1   | 0.55               | 2.25    | 3.05   |
| 12 | 3.6  | 0    | 2048 | 1.8  | 2.6     | 1       | 0.8                | 1   | 0.5                | 2.2     | 3.1    |



min_row: 1
max_row: 12
min_col: 1
max_col: 11
target_cell_row_idx: 2
target_cell_col_idx: 7
target_cell_value: 1.8
formula: =E2-D2
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A        | B             |
|---:|:---------|:--------------|
|  1 | BQ Coeff | [5.27] Format |
|  2 | 1        | [Target Cell] |
|  3 | 0.5      | 04000000      |



min_row: 1
max_row: 3
min_col: 1
max_col: 2
target_cell_row_idx: 2
target_cell_col_idx: 2
target_cell_value: 08000000
formula: = DEC2HEX(MOD(MIN(ROUND(2^27*A2,0), 2^31-1), 2^32),8)
Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | B   | C   | D   | E   | F   | G   | H   | I   | J   | K             | L                  | M     | N      | O   |
|---:|:----|:----|:----|:----|:----|:----|:----|:----|:----|:--------------|:-------------------|:------|:-------|:----|
|  7 |     |     |     |     |     |     |     |     |     | V_R46(off)    | 0.6125             | V     | result |     |
|  8 |     |     |     |     |     |     |     |     |     | V_RT1(off)    | 0.6125             | V     | result |     |
|  9 |     |     |     |     |     |     |     |     |     | I_R46(off)    | 6.125              | uA    | result |     |
| 10 |     |     |     |     |     |     |     |     |     | I_RT1(off)    | 6.125              | uA    | result |     |
| 11 |     |     |     |     |     |     |     |     |     |               |                    |       |        |     |
| 12 |     |     |     |     |     |     |     |     |     | RT1 // R_in   | 66.66666666666667  | k-ohm | result |     |
| 13 |     |     |     |     |     |     |     |     |     | V_R46(on)     | 0.7350000000000001 | V     | result |     |
| 14 |     |     |     |     |     |     |     |     |     | V_RT1(on)     | 0.49               | V     | result |     |
| 15 |     |     |     |     |     |     |     |     |     | I_R46(on)     | 7.3500000000000005 | uA    | result |     |
| 16 |     |     |     |     |     |     |     |     |     | I_RT1(on)     | 4.8999999999999995 | uA    | result |     |
| 17 |     |     |     |     |     |     |     |     |     | I_R_internal  | [Target Cell]      | uA    | result |     |
| 18 |     |     |     |     |     |     |     |     |     |               |                    |       |        |     |
| 19 |     |     |     |     |     |     |     |     |     | V_diff_on/off | 122.50000000000006 | mV    | result |     |



min_row: 7
max_row: 19
min_col: 2
max_col: 15
target_cell_row_idx: 17
target_cell_col_idx: 12
target_cell_value: 2.4499999999999997
formula: =L14/L5*1000