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             |
|---:|----:|--------:|:----|:-----------|:--------------|
|  1 |   0 | 1135494 |     | Max        | [Target Cell] |
|  2 |   1 | 1135752 |     | Min        | 1132910       |
|  3 |   2 | 1135630 |     | Difference | 3312          |
|  4 |   3 | 1135327 |     |            |               |
|  5 |   4 | 1135466 |     |            |               |
|  6 |   5 | 1135376 |     |            |               |
|  7 |   6 | 1135489 |     |            |               |
|  8 |   7 | 1135653 |     |            |               |
|  9 |   8 | 1135668 |     |            |               |
| 10 |   9 | 1135858 |     |            |               |
| 11 |  10 | 1136086 |     |            |               |



min_row: 1
max_row: 11
min_col: 1
max_col: 5
target_cell_row_idx: 1
target_cell_col_idx: 5
target_cell_value: 1136222
formula: =MAX(B75:B90)
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             |
|---:|----:|--------:|:----|:-----------|:--------------|
|  1 |   0 | 1135494 |     | Max        | 1136222       |
|  2 |   1 | 1135752 |     | Min        | [Target Cell] |
|  3 |   2 | 1135630 |     | Difference | 3312          |
|  4 |   3 | 1135327 |     |            |               |
|  5 |   4 | 1135466 |     |            |               |
|  6 |   5 | 1135376 |     |            |               |
|  7 |   6 | 1135489 |     |            |               |
|  8 |   7 | 1135653 |     |            |               |
|  9 |   8 | 1135668 |     |            |               |
| 10 |   9 | 1135858 |     |            |               |
| 11 |  10 | 1136086 |     |            |               |
| 12 |  11 | 1135803 |     |            |               |



min_row: 1
max_row: 12
min_col: 1
max_col: 5
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 1132910
formula: =MIN(B75:B90)
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                   |
|----:|:--------------------|
| 252 | -0.15643  0.98769   |
| 253 | -0.30902  0.95106   |
| 254 | -0.45399  0.89101   |
| 255 | -0.58778  0.80901   |
| 256 | -0.70711  0.70711   |
| 257 | -0.80902  0.58778   |
| 258 | -0.89101  0.45399   |
| 259 | -0.95106  0.30902   |
| 260 | -0.98769  0.15643   |
| 261 | -8.1526007          |
| 262 | [Target Cell]       |
| 263 | -1.26008            |
| 264 | -1.345              |
| 265 | -1.3967999999999998 |
| 266 | -1.41422            |
| 267 | -1.3967999999999998 |
| 268 | -1.345              |
| 269 | -1.26008            |
| 270 | -1.14412            |
| 271 | 6.392007  -1        |
| 272 | 0.15643  -0.98769   |



min_row: 252
max_row: 272
min_col: 1
max_col: 1
target_cell_row_idx: 262
target_cell_col_idx: 1
target_cell_value: -1.14412
formula: =-0.98769  -0.15643
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                   |
|----:|:--------------------|
| 172 | -0.15643  0.98769   |
| 173 | -0.30902  0.95106   |
| 174 | -0.45399  0.89101   |
| 175 | -0.58778  0.80902   |
| 176 | -0.70711  0.70711   |
| 177 | -0.80902  0.58778   |
| 178 | -0.89101  0.45399   |
| 179 | -0.95106  0.30902   |
| 180 | -0.98769  0.15643   |
| 181 | -5.7684007          |
| 182 | [Target Cell]       |
| 183 | -1.26008            |
| 184 | -1.345              |
| 185 | -1.3967999999999998 |
| 186 | -1.41422            |
| 187 | -1.3967999999999998 |
| 188 | -1.345              |
| 189 | -1.26008            |
| 190 | -1.14412            |
| 191 | 4.5194007  -1       |
| 192 | 0.15643  -0.98769   |



min_row: 172
max_row: 192
min_col: 1
max_col: 1
target_cell_row_idx: 182
target_cell_col_idx: 1
target_cell_value: -1.14412
formula: =-0.98769  -0.15643
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                   |
|----:|:--------------------|
| 292 | -0.15643  0.98769   |
| 293 | -0.30902  0.95106   |
| 294 | -0.45399  0.89101   |
| 295 | -0.58778  0.80901   |
| 296 | -0.70711  0.70711   |
| 297 | -0.80902  0.58778   |
| 298 | -0.89101  0.45399   |
| 299 | -0.95106  0.30902   |
| 300 | -0.98769  0.15643   |
| 301 | -8.1526007          |
| 302 | [Target Cell]       |
| 303 | -1.26008            |
| 304 | -1.345              |
| 305 | -1.39679            |
| 306 | -1.41422            |
| 307 | -1.3967999999999998 |
| 308 | -1.345              |
| 309 | -1.26008            |
| 310 | -1.14412            |
| 311 | 7.3282007  -1       |
| 312 | 0.15643  -0.98769   |



min_row: 292
max_row: 312
min_col: 1
max_col: 1
target_cell_row_idx: 302
target_cell_col_idx: 1
target_cell_value: -1.14412
formula: =-0.98769  -0.15643
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 |     |                       |                       |         |     |     |
|  2 |     | Conversion Calculator |                       |         |     |     |
|  3 |     | Codes to Voltage      |                       |         |     |     |
|  4 |     | ADC Code              | 1                     | Hex     |     |     |
|  5 |     |                       | 1                     | Decimal |     |     |
|  6 |     | VREF                  | 2.048                 | V       |     |     |
|  7 |     | PGA Gain              | 1                     | V/V     |     |     |
|  8 |     | 1 LSB                 | [Target Cell]         | nV      |     |     |
|  9 |     | Diff Input Range      | 2.048                 | +/- V   |     |     |
| 10 |     | Vout                  | 2.441406395519161e-07 | V       |     |     |
| 11 |     |                       |                       |         |     |     |
| 12 |     |                       |                       |         |     |     |
| 13 |     |                       |                       |         |     |     |
| 14 |     | Conversion Calculator |                       |         |     |     |
| 15 |     | Voltage to Codes      |                       |         |     |     |
| 16 |     | Voltage               | 1                     | V       |     |     |
| 17 |     | VREF                  | 2.048                 | V       |     |     |
| 18 |     | PGA Gain              | 1                     | V/V     |     |     |



min_row: 1
max_row: 18
min_col: 1
max_col: 6
target_cell_row_idx: 8
target_cell_col_idx: 3
target_cell_value: 244.14063955191608
formula: =2*C6/(C7*((2^24)-1))*1000000000
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 |     |                       |                       |         |     |     |
|  2 |     | Conversion Calculator |                       |         |     |     |
|  3 |     | Codes to Voltage      |                       |         |     |     |
|  4 |     | ADC Code              | 1                     | Hex     |     |     |
|  5 |     |                       | [Target Cell]         | Decimal |     |     |
|  6 |     | VREF                  | 2.048                 | V       |     |     |
|  7 |     | PGA Gain              | 1                     | V/V     |     |     |
|  8 |     | 1 LSB                 | 244.14063955191608    | nV      |     |     |
|  9 |     | Diff Input Range      | 2.048                 | +/- V   |     |     |
| 10 |     | Vout                  | 2.441406395519161e-07 | V       |     |     |
| 11 |     |                       |                       |         |     |     |
| 12 |     |                       |                       |         |     |     |
| 13 |     |                       |                       |         |     |     |
| 14 |     | Conversion Calculator |                       |         |     |     |
| 15 |     | Voltage to Codes      |                       |         |     |     |



min_row: 1
max_row: 15
min_col: 1
max_col: 6
target_cell_row_idx: 5
target_cell_col_idx: 3
target_cell_value: 1
formula: =IF(HEX2DEC(C4)<HEX2DEC(800000), HEX2DEC(C4), HEX2DEC(C4)-2^24)
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                   |
|------:|:--------------------|
| 32013 | -0.15643  0.98769   |
| 32014 | -0.30902  0.95106   |
| 32015 | -0.45399  0.89101   |
| 32016 | -0.58778  0.80902   |
| 32017 | -0.70711  0.70711   |
| 32018 | -0.80902  0.58778   |
| 32019 | -0.89101  0.45399   |
| 32020 | -0.95106  0.30902   |
| 32021 | -0.98769  0.15643   |
| 32022 | -1  0               |
| 32023 | [Target Cell]       |
| 32024 | -1.26008            |
| 32025 | -1.345              |
| 32026 | -1.3967999999999998 |
| 32027 | -1.41422            |
| 32028 | -1.3967999999999998 |
| 32029 | -1.345              |
| 32030 | -1.26008            |
| 32031 | -1.14412            |
| 32032 | 7.7439008  -1       |
| 32033 | 0.15643  -0.98769   |



min_row: 32013
max_row: 32033
min_col: 1
max_col: 1
target_cell_row_idx: 32023
target_cell_col_idx: 1
target_cell_value: -1.14412
formula: =-0.98769  -0.15643
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   |
|---:|:----|:----------------------|:----------------------|:--------|:----|:----|
| 10 |     | Vout                  | 2.441406395519161e-07 | V       |     |     |
| 11 |     |                       |                       |         |     |     |
| 12 |     |                       |                       |         |     |     |
| 13 |     |                       |                       |         |     |     |
| 14 |     | Conversion Calculator |                       |         |     |     |
| 15 |     | Voltage to Codes      |                       |         |     |     |
| 16 |     | Voltage               | 1                     | V       |     |     |
| 17 |     | VREF                  | 2.048                 | V       |     |     |
| 18 |     | PGA Gain              | 1                     | V/V     |     |     |
| 19 |     | 1 LSB                 | 244.14063955191608    | nV      |     |     |
| 20 |     | Diff Input Range      | [Target Cell]         | +/- V   |     |     |
| 21 |     | ADC Code              | 4096000               | Decimal |     |     |
| 22 |     |                       | 3E8000                | Hex     |     |     |
| 23 |     |                       |                       |         |     |     |



min_row: 10
max_row: 23
min_col: 1
max_col: 6
target_cell_row_idx: 20
target_cell_col_idx: 3
target_cell_value: 2.048
formula: =C17/C18
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     |
|---:|:---------|:---------------------------|:----------------------|:-----|:------|
|  1 | iq=      | 800                        | uA                    |      |       |
|  2 | Vfsr=    | 10                         | V                     |      |       |
|  3 | snr=     | 102                        | dB                    |      |       |
|  4 | Vflicker | 3e-06                      | V/rtHz                |      |       |
|  5 |          |                            |                       |      |       |
|  6 |          | f=                         | [Target Cell]         |      |       |
|  7 |          |                            | 8.742635294088984e-11 |      |       |
|  8 |          |                            |                       |      |       |
|  9 |          | f=                         | 890.5175185305138     |      |       |
| 10 |          |                            |                       |      |       |
| 11 |          |                            |                       |      |       |
| 12 |          | f=                         | 890.5175185305138     |      |       |
| 13 |          |                            |                       |      |       |
| 14 |          | ADS8900B Noise calculation |                       |      |       |
| 15 |          | Transition Noise           |                       | 2.3  | ppm   |
| 16 |          |                            |                       | 23.0 | uVrms |



min_row: 1
max_row: 16
min_col: 1
max_col: 5
target_cell_row_idx: 6
target_cell_col_idx: 3
target_cell_value: 10185916357881.3
formula: =(2*Iq/(0.00001)^2)*(2/PI())
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   |
|---:|:----|:----------------------|:-------------------|:--------|:----|:----|
| 11 |     |                       |                    |         |     |     |
| 12 |     |                       |                    |         |     |     |
| 13 |     |                       |                    |         |     |     |
| 14 |     | Conversion Calculator |                    |         |     |     |
| 15 |     | Voltage to Codes      |                    |         |     |     |
| 16 |     | Voltage               | 1                  | V       |     |     |
| 17 |     | VREF                  | 2.048              | V       |     |     |
| 18 |     | PGA Gain              | 1                  | V/V     |     |     |
| 19 |     | 1 LSB                 | 244.14063955191608 | nV      |     |     |
| 20 |     | Diff Input Range      | 2.048              | +/- V   |     |     |
| 21 |     | ADC Code              | [Target Cell]      | Decimal |     |     |
| 22 |     |                       | 3E8000             | Hex     |     |     |
| 23 |     |                       |                    |         |     |     |



min_row: 11
max_row: 23
min_col: 1
max_col: 6
target_cell_row_idx: 21
target_cell_col_idx: 3
target_cell_value: 4096000
formula: =IF(C16<-C17, ROUND(-C17/(C19*0.000000001),0), (IF(C16<C17, ROUND(C16/(C19*0.000000001),0), ROUND((C17-(C19*0.000000001))/(C19*0.000000001),0))))
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 |     |                       |                    |         |     |     |
|  2 |     | Conversion Calculator |                    |         |     |     |
|  3 |     | Codes to Voltage      |                    |         |     |     |
|  4 |     | ADC Code              | 1                  | Hex     |     |     |
|  5 |     |                       | 1                  | Decimal |     |     |
|  6 |     | VREF                  | 2.048              | V       |     |     |
|  7 |     | PGA Gain              | 1                  | V/V     |     |     |
|  8 |     | 1 LSB                 | 244.14063955191608 | nV      |     |     |
|  9 |     | Diff Input Range      | 2.048              | +/- V   |     |     |
| 10 |     | Vout                  | [Target Cell]      | V       |     |     |
| 11 |     |                       |                    |         |     |     |
| 12 |     |                       |                    |         |     |     |
| 13 |     |                       |                    |         |     |     |
| 14 |     | Conversion Calculator |                    |         |     |     |
| 15 |     | Voltage to Codes      |                    |         |     |     |
| 16 |     | Voltage               | 1                  | V       |     |     |
| 17 |     | VREF                  | 2.048              | V       |     |     |
| 18 |     | PGA Gain              | 1                  | V/V     |     |     |
| 19 |     | 1 LSB                 | 244.14063955191608 | nV      |     |     |
| 20 |     | Diff Input Range      | 2.048              | +/- V   |     |     |



min_row: 1
max_row: 20
min_col: 1
max_col: 6
target_cell_row_idx: 10
target_cell_col_idx: 3
target_cell_value: 2.441406395519161e-07
formula: =C5*C8*0.000000001
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   |
|---:|:----|:----------------------|:-------------------|:--------|:----|:----|
| 12 |     |                       |                    |         |     |     |
| 13 |     |                       |                    |         |     |     |
| 14 |     | Conversion Calculator |                    |         |     |     |
| 15 |     | Voltage to Codes      |                    |         |     |     |
| 16 |     | Voltage               | 1                  | V       |     |     |
| 17 |     | VREF                  | 2.048              | V       |     |     |
| 18 |     | PGA Gain              | 1                  | V/V     |     |     |
| 19 |     | 1 LSB                 | 244.14063955191608 | nV      |     |     |
| 20 |     | Diff Input Range      | 2.048              | +/- V   |     |     |
| 21 |     | ADC Code              | 4096000            | Decimal |     |     |
| 22 |     |                       | [Target Cell]      | Hex     |     |     |
| 23 |     |                       |                    |         |     |     |



min_row: 12
max_row: 23
min_col: 1
max_col: 6
target_cell_row_idx: 22
target_cell_col_idx: 3
target_cell_value: 3E8000
formula: =IF(C16>=0, DEC2HEX(C21,6), DEC2HEX(-2^24+C21,6))
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     |
|---:|:----|:---------------------------|:------------------|:------------------|:------|
|  8 |     |                            |                   |                   |       |
|  9 |     | f=                         | 890.5175185305138 |                   |       |
| 10 |     |                            |                   |                   |       |
| 11 |     |                            |                   |                   |       |
| 12 |     | f=                         | 890.5175185305138 |                   |       |
| 13 |     |                            |                   |                   |       |
| 14 |     | ADS8900B Noise calculation |                   |                   |       |
| 15 |     | Transition Noise           |                   | 2.3               | ppm   |
| 16 |     |                            |                   | 23                | uVrms |
| 17 |     | Quantization Noise         |                   | 4.76837158203125  | uVpp  |
| 18 |     |                            |                   | [Target Cell]     | uVrms |
| 19 |     | Total Noise                |                   | 23.06170355682859 | uVrms |



min_row: 8
max_row: 19
min_col: 1
max_col: 5
target_cell_row_idx: 18
target_cell_col_idx: 4
target_cell_value: 1.6858739404357612
formula: =D17/(2*SQRT(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     |
|---:|:----|:---------------------------|:----------------------|:-------------------|:------|
|  7 |     |                            | 8.742635294088984e-11 |                    |       |
|  8 |     |                            |                       |                    |       |
|  9 |     | f=                         | 890.5175185305138     |                    |       |
| 10 |     |                            |                       |                    |       |
| 11 |     |                            |                       |                    |       |
| 12 |     | f=                         | 890.5175185305138     |                    |       |
| 13 |     |                            |                       |                    |       |
| 14 |     | ADS8900B Noise calculation |                       |                    |       |
| 15 |     | Transition Noise           |                       | 2.3                | ppm   |
| 16 |     |                            |                       | 23                 | uVrms |
| 17 |     | Quantization Noise         |                       | [Target Cell]      | uVpp  |
| 18 |     |                            |                       | 1.6858739404357612 | uVrms |
| 19 |     | Total Noise                |                       | 23.06170355682859  | uVrms |



min_row: 7
max_row: 19
min_col: 1
max_col: 5
target_cell_row_idx: 17
target_cell_col_idx: 4
target_cell_value: 4.76837158203125
formula: =(5*2)/2^21*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     |
|---:|:----|:---------------------------|:----------------------|:-------------------|:------|
|  6 |     | f=                         | 10185916357881.3      |                    |       |
|  7 |     |                            | 8.742635294088984e-11 |                    |       |
|  8 |     |                            |                       |                    |       |
|  9 |     | f=                         | 890.5175185305138     |                    |       |
| 10 |     |                            |                       |                    |       |
| 11 |     |                            |                       |                    |       |
| 12 |     | f=                         | 890.5175185305138     |                    |       |
| 13 |     |                            |                       |                    |       |
| 14 |     | ADS8900B Noise calculation |                       |                    |       |
| 15 |     | Transition Noise           |                       | 2.3                | ppm   |
| 16 |     |                            |                       | [Target Cell]      | uVrms |
| 17 |     | Quantization Noise         |                       | 4.76837158203125   | uVpp  |
| 18 |     |                            |                       | 1.6858739404357612 | uVrms |
| 19 |     | Total Noise                |                       | 23.06170355682859  | uVrms |



min_row: 6
max_row: 19
min_col: 1
max_col: 5
target_cell_row_idx: 16
target_cell_col_idx: 4
target_cell_value: 23
formula: =D15*10
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     |
|---:|:---------|:---------------------------|:------------------|:-----------------|:------|
|  1 | iq=      | 800                        | uA                |                  |       |
|  2 | Vfsr=    | 10                         | V                 |                  |       |
|  3 | snr=     | 102                        | dB                |                  |       |
|  4 | Vflicker | 3e-06                      | V/rtHz            |                  |       |
|  5 |          |                            |                   |                  |       |
|  6 |          | f=                         | 10185916357881.3  |                  |       |
|  7 |          |                            | [Target Cell]     |                  |       |
|  8 |          |                            |                   |                  |       |
|  9 |          | f=                         | 890.5175185305138 |                  |       |
| 10 |          |                            |                   |                  |       |
| 11 |          |                            |                   |                  |       |
| 12 |          | f=                         | 890.5175185305138 |                  |       |
| 13 |          |                            |                   |                  |       |
| 14 |          | ADS8900B Noise calculation |                   |                  |       |
| 15 |          | Transition Noise           |                   | 2.3              | ppm   |
| 16 |          |                            |                   | 23.0             | uVrms |
| 17 |          | Quantization Noise         |                   | 4.76837158203125 | uVpp  |



min_row: 1
max_row: 17
min_col: 1
max_col: 5
target_cell_row_idx: 7
target_cell_col_idx: 3
target_cell_value: 8.742635294088984e-11
formula: =(1/9)*(Vfsr^2/8)*(10^(-snr/10))-(Vflicker/6.6)^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     |
|---:|:----|:---------------------------|:------------------|:-------------------|:------|
|  9 |     | f=                         | 890.5175185305138 |                    |       |
| 10 |     |                            |                   |                    |       |
| 11 |     |                            |                   |                    |       |
| 12 |     | f=                         | 890.5175185305138 |                    |       |
| 13 |     |                            |                   |                    |       |
| 14 |     | ADS8900B Noise calculation |                   |                    |       |
| 15 |     | Transition Noise           |                   | 2.3                | ppm   |
| 16 |     |                            |                   | 23                 | uVrms |
| 17 |     | Quantization Noise         |                   | 4.76837158203125   | uVpp  |
| 18 |     |                            |                   | 1.6858739404357612 | uVrms |
| 19 |     | Total Noise                |                   | [Target Cell]      | uVrms |



min_row: 9
max_row: 19
min_col: 1
max_col: 5
target_cell_row_idx: 19
target_cell_col_idx: 4
target_cell_value: 23.06170355682859
formula: =SQRT(D18^2+D16^2)
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                  |
|---:|:----|:----|:----|:-------|:-------|:----------|:----------|:-------------------|:-------------------|
| 13 |     |     |     | 298.53 | 207bd7 | 2128855.0 | 2128855.0 | 317.2241151332855  | 18.69411513328555  |
| 14 |     |     |     | 398.39 | 2b5599 | 2839961.0 | 2839961.0 | 423.18716645240784 | 24.79716645240785  |
| 15 |     |     |     | 499.63 | 36591a | 3561754.0 | 3561754.0 | 530.7427048683167  | 31.112704868316655 |
| 16 |     |     |     | 599.5  | 4130bc | 4272316.0 | 4272316.0 | 636.6246938705444  | 37.124693870544434 |
| 17 |     |     |     | 700.2  | 4c24a0 | 4990112.0 | 4990112.0 | 743.5846328735352  | 43.38463287353511  |
| 18 |     |     |     | 800.0  | 56fff9 | 5701625.0 | 5701625.0 | 849.6083319187164  | 49.60833191871643  |
| 19 |     |     |     | 897.6  | 61a044 | 6398020.0 | 6398020.0 | 953.3792734146118  | 55.779273414611794 |
| 20 |     |     |     | 997.4  | 6c7a65 | 7109221.0 | 7109221.0 | 1059.3564808368683 | 61.95648083686831  |
| 21 |     |     |     |        |        |           |           |                    |                    |
| 22 |     |     |     |        |        |           |           |                    |                    |
| 23 |     |     |     |        |        |           |           | max                | [Target Cell]      |



min_row: 13
max_row: 23
min_col: 1
max_col: 9
target_cell_row_idx: 23
target_cell_col_idx: 9
target_cell_value: 61.95648083686831
formula: =MAX(I10:I20)
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   |
|---:|:----|:--------------------|:-------------------|:----|
|  1 |     |                     |                    |     |
|  2 |     | User-Input Cells    |                    |     |
|  3 |     | Calculated Cells    |                    |     |
|  4 |     | Constants Cells     |                    |     |
|  5 |     |                     |                    |     |
|  6 |     | Ven (V)             | 1.25               |     |
|  7 |     | Ip (A)              | 1e-06              |     |
|  8 |     | Ih (A)              | 3e-06              |     |
|  9 |     | vinstart (V)        | 6.5                |     |
| 10 |     | vinstop (V)         | 6                  |     |
| 11 |     | R1 (kOhm)           | [Target Cell]      |     |
| 12 |     | R2 (kOhm)           | 38.46153846153847  |     |
| 13 |     | R1_actual (kOhm)    | 165                |     |
| 14 |     | R2_actual (kOhm)    | 38.3               |     |
| 15 |     | vinstart_actual (V) | 6.470117493472586  |     |
| 16 |     | vinstop_actual (V)  | 5.9751174934725855 |     |
| 17 |     |                     |                    |     |
| 18 |     |                     |                    |     |
| 19 |     |                     |                    |     |
| 20 |     |                     |                    |     |
| 21 |     |                     |                    |     |



min_row: 1
max_row: 21
min_col: 1
max_col: 4
target_cell_row_idx: 11
target_cell_col_idx: 3
target_cell_value: 166.66666666666666
formula: =(C9-C10)/C8/1000