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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  8 | Channel Name       |        | ADC1        |               |
|  9 | Sampling Frequency |        | 2.5         |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -27.0  | Max         | 420           |
| 18 |                    | 60.0   | Min         | [Target Cell] |
| 19 |                    | 185.0  |             | 800           |
| 20 |                    | -10.0  |             |               |
| 21 |                    | 75.0   |             |               |
| 22 |                    | 68.0   |             |               |
| 23 |                    | -120.0 |             |               |
| 24 |                    | 175.0  |             |               |
| 25 |                    | 159.0  |             |               |
| 26 |                    | -36.0  |             |               |
| 27 |                    | -132.0 |             |               |
| 28 |                    | -25.0  |             |               |



min_row: 8
max_row: 28
min_col: 1
max_col: 4
target_cell_row_idx: 18
target_cell_col_idx: 4
target_cell_value: -380
formula: =MIN(B:B)
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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  9 | Sampling Frequency |        | 2.5         |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -27.0  | Max         | 420           |
| 18 |                    | 60.0   | Min         | -380          |
| 19 |                    | 185.0  |             | [Target Cell] |
| 20 |                    | -10.0  |             |               |
| 21 |                    | 75.0   |             |               |
| 22 |                    | 68.0   |             |               |
| 23 |                    | -120.0 |             |               |
| 24 |                    | 175.0  |             |               |
| 25 |                    | 159.0  |             |               |
| 26 |                    | -36.0  |             |               |
| 27 |                    | -132.0 |             |               |
| 28 |                    | -25.0  |             |               |
| 29 |                    | 115.0  |             |               |



min_row: 9
max_row: 29
min_col: 1
max_col: 4
target_cell_row_idx: 19
target_cell_col_idx: 4
target_cell_value: 800
formula: =D17-D18
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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  8 | Channel Name       |        | ADC1        |               |
|  9 | Sampling Frequency |        | 1.25        |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -33.0  | Max         | 364           |
| 18 |                    | -14.0  | Min         | [Target Cell] |
| 19 |                    | 36.0   |             | 792           |
| 20 |                    | 9.0    |             |               |
| 21 |                    | -42.0  |             |               |
| 22 |                    | 191.0  |             |               |
| 23 |                    | 218.0  |             |               |
| 24 |                    | 292.0  |             |               |
| 25 |                    | 232.0  |             |               |
| 26 |                    | -26.0  |             |               |
| 27 |                    | -169.0 |             |               |
| 28 |                    | -319.0 |             |               |



min_row: 8
max_row: 28
min_col: 1
max_col: 4
target_cell_row_idx: 18
target_cell_col_idx: 4
target_cell_value: -428
formula: =MIN(B:B)
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   | M   | N   | O   |
|---:|:----|:----|:----|:---------|:----|:----|:----|:------------------|:-------|:-------------------|:----|:----|:----|:----|:----|
|  1 |     |     |     |          |     |     |     | Remark            | Value  |                    |     |     |     |     |     |
|  2 |     |     |     | NTC spec |     |     |     | VT1 R%            | 0.733  | [Target Cell]      |     |     |     |     |     |
|  3 |     |     |     |          |     |     |     | VT1 F%            | 0.72   | 3.384              |     |     |     |     |     |
|  4 |     |     |     |          |     |     |     | VT2 R%            | 0.6825 | 3.20775            |     |     |     |     |     |
|  5 |     |     |     |          |     |     |     | VT2 F%            | 0.6695 | 3.14665            |     |     |     |     |     |
|  6 |     |     |     |          |     |     |     | VT3 R%            | 0.4605 | 2.16435            |     |     |     |     |     |
|  7 |     |     |     |          |     |     |     | VT3 F%            | 0.4475 | 2.10325            |     |     |     |     |     |
|  8 |     |     |     |          |     |     |     | VT5 R%            | 0.355  | 1.6684999999999999 |     |     |     |     |     |
|  9 |     |     |     |          |     |     |     | VT5 F%            | 0.342  | 1.6074000000000002 |     |     |     |     |     |
| 10 |     |     |     |          |     |     |     | RNTC T1, 0degree  | 27280  |                    |     |     |     |     |     |
| 11 |     |     |     |          |     |     |     | RNTC T2, 10degree | 17960  |                    |     |     |     |     |     |
| 12 |     |     |     |          |     |     |     | RNTC T3, 45degree | 4911   |                    |     |     |     |     |     |



min_row: 1
max_row: 12
min_col: 1
max_col: 15
target_cell_row_idx: 2
target_cell_col_idx: 10
target_cell_value: 3.4451
formula: =4.7*I2
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             |
|---:|:----------------------|:-------|:------------|:--------------|
|  7 | [Channel Information] |        |             |               |
|  8 | Channel Name          |        | ADC1        |               |
|  9 | Sampling Frequency    |        | 0.833       |               |
| 10 | Input Frequency       |        | 0           |               |
| 11 | Max Code              |        | 2147483647  |               |
| 12 | Max Voltage           |        | 0.156       |               |
| 13 | Min Code              |        | -2147483648 |               |
| 14 | Min Voltage           |        | -0.156      |               |
| 15 | Data Format           |        | Decimal     |               |
| 16 | [Channel Data]        |        |             |               |
| 17 |                       | -126.0 | Max         | [Target Cell] |
| 18 |                       | -191.0 | Min         | -344          |
| 19 |                       | 63.0   |             | 676           |
| 20 |                       | 168.0  |             |               |
| 21 |                       | 174.0  |             |               |
| 22 |                       | 26.0   |             |               |
| 23 |                       | -117.0 |             |               |
| 24 |                       | -70.0  |             |               |
| 25 |                       | 38.0   |             |               |
| 26 |                       | -19.0  |             |               |
| 27 |                       | -50.0  |             |               |



min_row: 7
max_row: 27
min_col: 1
max_col: 4
target_cell_row_idx: 17
target_cell_col_idx: 4
target_cell_value: 332
formula: =MAX(B:B)
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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  9 | Sampling Frequency |        | 1.25        |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -33.0  | Max         | 364           |
| 18 |                    | -14.0  | Min         | -428          |
| 19 |                    | 36.0   |             | [Target Cell] |
| 20 |                    | 9.0    |             |               |
| 21 |                    | -42.0  |             |               |
| 22 |                    | 191.0  |             |               |
| 23 |                    | 218.0  |             |               |
| 24 |                    | 292.0  |             |               |
| 25 |                    | 232.0  |             |               |
| 26 |                    | -26.0  |             |               |
| 27 |                    | -169.0 |             |               |
| 28 |                    | -319.0 |             |               |
| 29 |                    | 42.0   |             |               |



min_row: 9
max_row: 29
min_col: 1
max_col: 4
target_cell_row_idx: 19
target_cell_col_idx: 4
target_cell_value: 792
formula: =D17-D18
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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  8 | Channel Name       |        | ADC1        |               |
|  9 | Sampling Frequency |        | 0.833       |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -126.0 | Max         | 332           |
| 18 |                    | -191.0 | Min         | [Target Cell] |
| 19 |                    | 63.0   |             | 676           |
| 20 |                    | 168.0  |             |               |
| 21 |                    | 174.0  |             |               |
| 22 |                    | 26.0   |             |               |
| 23 |                    | -117.0 |             |               |
| 24 |                    | -70.0  |             |               |
| 25 |                    | 38.0   |             |               |
| 26 |                    | -19.0  |             |               |
| 27 |                    | -50.0  |             |               |
| 28 |                    | -58.0  |             |               |



min_row: 8
max_row: 28
min_col: 1
max_col: 4
target_cell_row_idx: 18
target_cell_col_idx: 4
target_cell_value: -344
formula: =MIN(B:B)
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             |
|---:|:----------------------|:-------|:------------|:--------------|
|  7 | [Channel Information] |        |             |               |
|  8 | Channel Name          |        | ADC1        |               |
|  9 | Sampling Frequency    |        | 1.25        |               |
| 10 | Input Frequency       |        | 0           |               |
| 11 | Max Code              |        | 2147483647  |               |
| 12 | Max Voltage           |        | 0.156       |               |
| 13 | Min Code              |        | -2147483648 |               |
| 14 | Min Voltage           |        | -0.156      |               |
| 15 | Data Format           |        | Decimal     |               |
| 16 | [Channel Data]        |        |             |               |
| 17 |                       | -33.0  | Max         | [Target Cell] |
| 18 |                       | -14.0  | Min         | -428          |
| 19 |                       | 36.0   |             | 792           |
| 20 |                       | 9.0    |             |               |
| 21 |                       | -42.0  |             |               |
| 22 |                       | 191.0  |             |               |
| 23 |                       | 218.0  |             |               |
| 24 |                       | 292.0  |             |               |
| 25 |                       | 232.0  |             |               |
| 26 |                       | -26.0  |             |               |
| 27 |                       | -169.0 |             |               |



min_row: 7
max_row: 27
min_col: 1
max_col: 4
target_cell_row_idx: 17
target_cell_col_idx: 4
target_cell_value: 364
formula: =MAX(B:B)
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             |
|---:|:-------------------|:-------|:------------|:--------------|
|  9 | Sampling Frequency |        | 0.833       |               |
| 10 | Input Frequency    |        | 0           |               |
| 11 | Max Code           |        | 2147483647  |               |
| 12 | Max Voltage        |        | 0.156       |               |
| 13 | Min Code           |        | -2147483648 |               |
| 14 | Min Voltage        |        | -0.156      |               |
| 15 | Data Format        |        | Decimal     |               |
| 16 | [Channel Data]     |        |             |               |
| 17 |                    | -126.0 | Max         | 332           |
| 18 |                    | -191.0 | Min         | -344          |
| 19 |                    | 63.0   |             | [Target Cell] |
| 20 |                    | 168.0  |             |               |
| 21 |                    | 174.0  |             |               |
| 22 |                    | 26.0   |             |               |
| 23 |                    | -117.0 |             |               |
| 24 |                    | -70.0  |             |               |
| 25 |                    | 38.0   |             |               |
| 26 |                    | -19.0  |             |               |
| 27 |                    | -50.0  |             |               |
| 28 |                    | -58.0  |             |               |
| 29 |                    | -109.0 |             |               |



min_row: 9
max_row: 29
min_col: 1
max_col: 4
target_cell_row_idx: 19
target_cell_col_idx: 4
target_cell_value: 676
formula: =D17-D18
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 | 208976 | [Target Cell]         |
|  2 | 253787 | 0.006050753954097864  |
|  3 | 279728 | 0.006669235627009607  |
|  4 | 269864 | 0.0064340595265662374 |
|  5 | 225592 | 0.005378532730253501  |
|  6 | 176928 | 0.004218292487757951  |
|  7 | 132213 | 0.0031522037477614727 |
|  8 | 107237 | 0.0025567294691043775 |
|  9 | 115727 | 0.00275914685482662   |
| 10 | 160021 | 0.003815198172044645  |
| 11 | 209247 | 0.004988837539484354  |



min_row: 1
max_row: 11
min_col: 1
max_col: 2
target_cell_row_idx: 1
target_cell_col_idx: 2
target_cell_value: 0.0049823763956055875
formula: =((A1/16777215)*(2.4/6))
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    |
|---:|:-------|:--------------|:------------|:-----|:----|:-----|:-----|
| 15 |        |               |             |      |     |      |      |
| 16 |        |               |             |      |     |      |      |
| 17 |        |               |             |      |     |      |      |
| 18 |        |               |             |      |     |      |      |
| 19 | Vin    | 12            |             | Vout | 1.2 | Iout | 32.0 |
| 20 | Ioset  | 9e-06         |             |      |     |      |      |
| 21 | VOCLOS | -0.008        |             |      |     |      |      |
| 22 | Rds on | 0.00084       | CSD17573Q5B |      |     |      |      |
| 23 | Ip-p   | 4             |             | 30   |     |      |      |
| 24 |        |               |             |      |     |      |      |
| 25 | Rocset | [Target Cell] |             |      |     |      |      |
| 26 |        |               |             |      |     |      |      |
| 27 |        |               |             |      |     |      |      |
| 28 |        |               |             |      |     |      |      |
| 29 |        |               |             |      |     |      |      |
| 30 |        |               |             | 32.5 |     |      |      |



min_row: 15
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 25
target_cell_col_idx: 2
target_cell_value: 1747.368421052632
formula: =(D23*B22-B21)/(2*9.5*10^-6)
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   |
|---:|:-------|:------------------|:------------|:--------------|:----|:----|:----|
| 20 | Ioset  | 9e-06             |             |               |     |     |     |
| 21 | VOCLOS | -0.008            |             |               |     |     |     |
| 22 | Rds on | 0.00084           | CSD17573Q5B |               |     |     |     |
| 23 | Ip-p   | 4.0               |             | 30            |     |     |     |
| 24 |        |                   |             |               |     |     |     |
| 25 | Rocset | 1747.368421052632 |             |               |     |     |     |
| 26 |        |                   |             |               |     |     |     |
| 27 |        |                   |             |               |     |     |     |
| 28 |        |                   |             |               |     |     |     |
| 29 |        |                   |             |               |     |     |     |
| 30 |        |                   |             | [Target Cell] |     |     |     |



min_row: 20
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 30
target_cell_col_idx: 4
target_cell_value: 32.5
formula: =25*1.3
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    |
|---:|:-------|:------------------|:------------|:-----|:----|:-----|:-----|
| 12 |        |                   |             |      |     |      |      |
| 13 |        |                   |             |      |     |      |      |
| 14 |        |                   |             |      |     |      |      |
| 15 |        |                   |             |      |     |      |      |
| 16 |        |                   |             |      |     |      |      |
| 17 |        |                   |             |      |     |      |      |
| 18 |        |                   |             |      |     |      |      |
| 19 | Vin    | 12                |             | Vout | 1.2 | Iout | 32.0 |
| 20 | Ioset  | 9e-06             |             |      |     |      |      |
| 21 | VOCLOS | -0.008            |             |      |     |      |      |
| 22 | Rds on | [Target Cell]     | CSD17573Q5B |      |     |      |      |
| 23 | Ip-p   | 4                 |             | 30   |     |      |      |
| 24 |        |                   |             |      |     |      |      |
| 25 | Rocset | 1747.368421052632 |             |      |     |      |      |
| 26 |        |                   |             |      |     |      |      |
| 27 |        |                   |             |      |     |      |      |
| 28 |        |                   |             |      |     |      |      |
| 29 |        |                   |             |      |     |      |      |
| 30 |        |                   |             | 32.5 |     |      |      |



min_row: 12
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 22
target_cell_col_idx: 2
target_cell_value: 0.00084
formula: =0.84*10^-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                 |
|---:|:---------------|:--------------------------------------|:-------------------|:--------------------|:----|:--------------------------------------------|:------------------|
|  1 |                | ADC Digital Reading (in decimal base) |                    |                     |     | ADC Digital Reading Drift (in decimal base) |                   |
|  2 | Pressure (bar) | Reading (t = 0)                       | Reading (t = 5min) | Reading (t = 10min) |     | drift (t = 5 min)                           | drift (t = 10min) |
|  3 | 0              | 20238                                 | 20138              | 20390               |     | [Target Cell]                               | 152               |
|  4 | 0.4            | 494843                                | 495461             | 495844              |     | 618                                         | 1001              |
|  5 | 0.8            | 967165                                | 968245             | 968886              |     | 1080                                        | 1721              |
|  6 | 1.2            | 1436652                               | 1438186            | 1439015             |     | 1534                                        | 2363              |
|  7 | 1.6            | 1903349                               | 1905077            | 1906033             |     | 1728                                        | 2684              |
|  8 | 2              | 2366665                               | 2368776            | 2369804             |     | 2111                                        | 3139              |



min_row: 1
max_row: 8
min_col: 1
max_col: 7
target_cell_row_idx: 3
target_cell_col_idx: 6
target_cell_value: -100
formula: =C3-B3
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    |
|---:|:-------|:------------------|:------------|:-----|:----|:-----|:-----|
| 11 |        |                   |             |      |     |      |      |
| 12 |        |                   |             |      |     |      |      |
| 13 |        |                   |             |      |     |      |      |
| 14 |        |                   |             |      |     |      |      |
| 15 |        |                   |             |      |     |      |      |
| 16 |        |                   |             |      |     |      |      |
| 17 |        |                   |             |      |     |      |      |
| 18 |        |                   |             |      |     |      |      |
| 19 | Vin    | 12                |             | Vout | 1.2 | Iout | 32.0 |
| 20 | Ioset  | 9e-06             |             |      |     |      |      |
| 21 | VOCLOS | [Target Cell]     |             |      |     |      |      |
| 22 | Rds on | 0.00084           | CSD17573Q5B |      |     |      |      |
| 23 | Ip-p   | 4                 |             | 30   |     |      |      |
| 24 |        |                   |             |      |     |      |      |
| 25 | Rocset | 1747.368421052632 |             |      |     |      |      |
| 26 |        |                   |             |      |     |      |      |
| 27 |        |                   |             |      |     |      |      |
| 28 |        |                   |             |      |     |      |      |
| 29 |        |                   |             |      |     |      |      |
| 30 |        |                   |             | 32.5 |     |      |      |



min_row: 11
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 21
target_cell_col_idx: 2
target_cell_value: -0.008
formula: =-8*10^-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    |
|---:|:-------|:------------------|:------------|:-----|:----|:-----|:-----|
| 10 |        |                   |             |      |     |      |      |
| 11 |        |                   |             |      |     |      |      |
| 12 |        |                   |             |      |     |      |      |
| 13 |        |                   |             |      |     |      |      |
| 14 |        |                   |             |      |     |      |      |
| 15 |        |                   |             |      |     |      |      |
| 16 |        |                   |             |      |     |      |      |
| 17 |        |                   |             |      |     |      |      |
| 18 |        |                   |             |      |     |      |      |
| 19 | Vin    | 12                |             | Vout | 1.2 | Iout | 32.0 |
| 20 | Ioset  | [Target Cell]     |             |      |     |      |      |
| 21 | VOCLOS | -0.008            |             |      |     |      |      |
| 22 | Rds on | 0.00084           | CSD17573Q5B |      |     |      |      |
| 23 | Ip-p   | 4                 |             | 30   |     |      |      |
| 24 |        |                   |             |      |     |      |      |
| 25 | Rocset | 1747.368421052632 |             |      |     |      |      |
| 26 |        |                   |             |      |     |      |      |
| 27 |        |                   |             |      |     |      |      |
| 28 |        |                   |             |      |     |      |      |
| 29 |        |                   |             |      |     |      |      |
| 30 |        |                   |             | 32.5 |     |      |      |



min_row: 10
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 20
target_cell_col_idx: 2
target_cell_value: 9e-06
formula: =9*10^-6
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                 |
|---:|:---------------|:--------------------------------------|:-------------------|:--------------------|:----|:--------------------------------------------|:------------------|
|  1 |                | ADC Digital Reading (in decimal base) |                    |                     |     | ADC Digital Reading Drift (in decimal base) |                   |
|  2 | Pressure (bar) | Reading (t = 0)                       | Reading (t = 5min) | Reading (t = 10min) |     | drift (t = 5 min)                           | drift (t = 10min) |
|  3 | 0              | 20238                                 | 20138              | 20390               |     | -100                                        | [Target Cell]     |
|  4 | 0.4            | 494843                                | 495461             | 495844              |     | 618                                         | 1001              |
|  5 | 0.8            | 967165                                | 968245             | 968886              |     | 1080                                        | 1721              |
|  6 | 1.2            | 1436652                               | 1438186            | 1439015             |     | 1534                                        | 2363              |
|  7 | 1.6            | 1903349                               | 1905077            | 1906033             |     | 1728                                        | 2684              |
|  8 | 2              | 2366665                               | 2368776            | 2369804             |     | 2111                                        | 3139              |



min_row: 1
max_row: 8
min_col: 1
max_col: 7
target_cell_row_idx: 3
target_cell_col_idx: 7
target_cell_value: 152
formula: =D3-B3
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    |
|---:|:-------|:------------------|:------------|:--------------|:----|:-----|:-----|
| 13 |        |                   |             |               |     |      |      |
| 14 |        |                   |             |               |     |      |      |
| 15 |        |                   |             |               |     |      |      |
| 16 |        |                   |             |               |     |      |      |
| 17 |        |                   |             |               |     |      |      |
| 18 |        |                   |             |               |     |      |      |
| 19 | Vin    | 12.0              |             | Vout          | 1.2 | Iout | 32.0 |
| 20 | Ioset  | 9e-06             |             |               |     |      |      |
| 21 | VOCLOS | -0.008            |             |               |     |      |      |
| 22 | Rds on | 0.00084           | CSD17573Q5B |               |     |      |      |
| 23 | Ip-p   | 4.0               |             | [Target Cell] |     |      |      |
| 24 |        |                   |             |               |     |      |      |
| 25 | Rocset | 1747.368421052632 |             |               |     |      |      |
| 26 |        |                   |             |               |     |      |      |
| 27 |        |                   |             |               |     |      |      |
| 28 |        |                   |             |               |     |      |      |
| 29 |        |                   |             |               |     |      |      |
| 30 |        |                   |             | 32.5          |     |      |      |



min_row: 13
max_row: 30
min_col: 1
max_col: 7
target_cell_row_idx: 23
target_cell_col_idx: 4
target_cell_value: 30
formula: =G19-B23/2