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

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B      | C       | D       | E        | F                 |
|---:|:----|:-------|:--------|:--------|:---------|:------------------|
| 18 |     |        |         |         |          |                   |
| 19 |     |        |         |         |          |                   |
| 20 |     |        |         |         |          |                   |
| 21 |     |        |         |         |          |                   |
| 22 |     |        |         |         |          |                   |
| 23 |     |        |         |         |          |                   |
| 24 |     |        |         |         |          |                   |
| 25 |     |        |         |         |          |                   |
| 26 |     |        |         |         |          |                   |
| 27 |     | Vin[V] | Iin[mA] | Vout[V] | Iout[mA] | Effcy[%]          |
| 28 |     | 12.54  | 38.5    | 9.1     | 50.3     | [Target Cell]     |
| 29 |     | 12.28  | 76.5    | 9.07    | 98.7     | 95.2937983010794  |
| 30 |     | 11.73  | 157.5   | 9.06    | 198.9    | 97.54037267080746 |
| 31 |     | 12.09  | 235.6   | 9.05    | 304.8    | 96.84159971689411 |
| 32 |     | 12.17  | 305.4   | 9.06    | 397.4    | 96.87159477797347 |
| 33 |     | 12.08  | 410     | 9.05    | 510      | 93.18971087061864 |
| 34 |     | 12.04  | 480     | 9.05    | 610      | 95.52360188261352 |
| 35 |     | 12.02  | 570     | 9.05    | 700      | 92.46285430714892 |
| 36 |     | 12.1   | 630     | 9.05    | 800      | 94.97573133936771 |
| 37 |     | 12.05  | 730     | 9.05    | 910      | 93.6224634797931  |
| 38 |     | 12.22  | 800     | 9.05    | 1000     | 92.57364975450082 |



min_row: 18
max_row: 38
min_col: 1
max_col: 6
target_cell_row_idx: 28
target_cell_col_idx: 6
target_cell_value: 94.80933739306946
formula: =((D28*E28)/(B28*C28))*100
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 | Gate drive pulse current                                               | 0.6                 | A   |     |     |     |                    |
|  2 | Trise time percentge of  Gate pulse current with respect to Ton pulse) | 0.1                 |     |     |     |     |                    |
|  3 | Dmax                                                                   | 0.45                |     |     |     | Ta  | Tj                 |
|  4 | Icc                                                                    | 0.004               | A   |     |     | 25  | 54.946000000000005 |
|  5 | Vin                                                                    | [Target Cell]       | v   |     |     | 75  | 104.946            |
|  6 | Vcc                                                                    | 7.5                 | v   |     |     | 125 | 154.946            |
|  7 | Rth(j-a)                                                               | 161                 | c/w |     |     |     |                    |
|  8 |                                                                        |                     |     |     |     |     |                    |
|  9 | Pd                                                                     | 0.18600000000000003 |     |     |     |     |                    |



min_row: 1
max_row: 9
min_col: 1
max_col: 7
target_cell_row_idx: 5
target_cell_col_idx: 2
target_cell_value: 13.5
formula: =14-0.5
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 | Gate drive pulse current                                               | 0.6                 | A   |     |     |     |               |
|  2 | Trise time percentge of  Gate pulse current with respect to Ton pulse) | 0.1                 |     |     |     |     |               |
|  3 | Dmax                                                                   | 0.45                |     |     |     | Ta  | Tj            |
|  4 | Icc                                                                    | 0.004               | A   |     |     | 25  | [Target Cell] |
|  5 | Vin                                                                    | 13.5                | v   |     |     | 75  | 104.946       |
|  6 | Vcc                                                                    | 7.5                 | v   |     |     | 125 | 154.946       |
|  7 | Rth(j-a)                                                               | 161.0               | c/w |     |     |     |               |
|  8 |                                                                        |                     |     |     |     |     |               |
|  9 | Pd                                                                     | 0.18600000000000003 |     |     |     |     |               |



min_row: 1
max_row: 9
min_col: 1
max_col: 7
target_cell_row_idx: 4
target_cell_col_idx: 7
target_cell_value: 54.946000000000005
formula: =F4+(B7*B9)
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                                                                      | B                   | C   | D   | E   | F   | G                  |
|---:|:-----------------------------------------------------------------------|:--------------------|:----|:----|:----|:----|:-------------------|
|  1 | Gate drive pulse current                                               | [Target Cell]       | A   |     |     |     |                    |
|  2 | Trise time percentge of  Gate pulse current with respect to Ton pulse) | 0.1                 |     |     |     |     |                    |
|  3 | Dmax                                                                   | 0.45                |     |     |     | Ta  | Tj                 |
|  4 | Icc                                                                    | 0.004               | A   |     |     | 25  | 54.946000000000005 |
|  5 | Vin                                                                    | 13.5                | v   |     |     | 75  | 104.946            |
|  6 | Vcc                                                                    | 7.5                 | v   |     |     | 125 | 154.946            |
|  7 | Rth(j-a)                                                               | 161                 | c/w |     |     |     |                    |
|  8 |                                                                        |                     |     |     |     |     |                    |
|  9 | Pd                                                                     | 0.18600000000000003 |     |     |     |     |                    |



min_row: 1
max_row: 9
min_col: 1
max_col: 7
target_cell_row_idx: 1
target_cell_col_idx: 2
target_cell_value: 0.6
formula: =0.6
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 | Gate drive pulse current                                               | 0.6                 | A   |     |     |     |                    |
|  2 | Trise time percentge of  Gate pulse current with respect to Ton pulse) | 0.1                 |     |     |     |     |                    |
|  3 | Dmax                                                                   | 0.45                |     |     |     | Ta  | Tj                 |
|  4 | Icc                                                                    | 0.004               | A   |     |     | 25  | 54.946000000000005 |
|  5 | Vin                                                                    | 13.5                | v   |     |     | 75  | 104.946            |
|  6 | Vcc                                                                    | 7.5                 | v   |     |     | 125 | [Target Cell]      |
|  7 | Rth(j-a)                                                               | 161.0               | c/w |     |     |     |                    |
|  8 |                                                                        |                     |     |     |     |     |                    |
|  9 | Pd                                                                     | 0.18600000000000003 |     |     |     |     |                    |



min_row: 1
max_row: 9
min_col: 1
max_col: 7
target_cell_row_idx: 6
target_cell_col_idx: 7
target_cell_value: 154.946
formula: =F6+(B9*B7)
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 | Gate drive pulse current                                               | 0.6                 | A   |     |     |     |                    |
|  2 | Trise time percentge of  Gate pulse current with respect to Ton pulse) | 0.1                 |     |     |     |     |                    |
|  3 | Dmax                                                                   | 0.45                |     |     |     | Ta  | Tj                 |
|  4 | Icc                                                                    | 0.004               | A   |     |     | 25  | 54.946000000000005 |
|  5 | Vin                                                                    | 13.5                | v   |     |     | 75  | [Target Cell]      |
|  6 | Vcc                                                                    | 7.5                 | v   |     |     | 125 | 154.946            |
|  7 | Rth(j-a)                                                               | 161.0               | c/w |     |     |     |                    |
|  8 |                                                                        |                     |     |     |     |     |                    |
|  9 | Pd                                                                     | 0.18600000000000003 |     |     |     |     |                    |



min_row: 1
max_row: 9
min_col: 1
max_col: 7
target_cell_row_idx: 5
target_cell_col_idx: 7
target_cell_value: 104.946
formula: =F5+(B9*B7)
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   |
|---:|:---------------------|:------------------------|:---------|:-------------------|:---------|:-------|:--------------|:----|:----|
|  1 |                      |                         |          |                    |          |        |               |     |     |
|  2 |                      | Part                    | Supplier | Notes              | Quantity | Cost   | Total         |     |     |
|  3 | Servo/aux regulators | LM25011                 | TI       |                    | 2        | 0.95   | [Target Cell] |     |     |
|  4 |                      | 445-6572-1-ND           | digikey  | 15uH, 2.6A, 58mOhm | 2        | 0.34   | 0.68          |     |     |
|  5 |                      | CRA2512-FZ-R080ELFCT-ND | digikey  | 80mOhm, 3W, 1%     | 2        | 0.173  | 0.346         |     |     |
|  6 |                      | B230A-FDICT-ND          | digikey  | 30V, 2A, 500mV     | 2        | 0.094  | 0.188         |     |     |
|  7 |                      | 445-7644-1-ND           | digikey  | Cout               | 2        | 0.05   | 0.1           |     |     |
|  8 |                      | 445-5146-1-ND           | digikey  | Cinx               | 2        | 0.02   | 0.04          |     |     |
|  9 |                      | 445-3947-1-ND           | digikey  | Cin                | 2        | 0.151  | 0.302         |     |     |
| 10 |                      | 445-2668-1-ND           | digikey  | Css                | 2        | 0.065  | 0.13          |     |     |
| 11 |                      | 311-10.0KHRCT-ND        | digikey  | Rpgood, Rfb1       | 2        | 0.002  | 0.004         |     |     |
| 12 |                      | 311-200KDTR-ND          | digikey  | Rt                 | 2        | 0.002  | 0.004         |     |     |
| 13 |                      | TC33X-503ECT-ND         | digikey  | Rfb2               | 2        | 0.0141 | 0.0282        |     |     |



min_row: 1
max_row: 13
min_col: 1
max_col: 9
target_cell_row_idx: 3
target_cell_col_idx: 7
target_cell_value: 1.9
formula: =E3*F3
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   |
|---:|:-------------------------------------|:---------------------|:----|:------|:---------------------|:----|
|  5 | Rbottom                              | 6420.0               |     |       |                      |     |
|  6 | Rhyst_top                            | 3300.0               |     |       |                      |     |
|  7 | Rhyst_bottom                         | 124000.0             |     |       |                      |     |
|  8 | Comparator reference                 | 2.048                |     |       |                      |     |
|  9 |                                      |                      |     |       |                      |     |
| 10 |                                      |                      |     |       |                      |     |
| 11 | Outputs                              |                      |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95                |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377  |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | 0.025923016496465043 |     | Low   | -0.01630596638868879 | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993   |     | High  | [Target Cell]        | %   |
| 16 | Ideal Hysteresis (post divider)      | 0.05306692509405994  |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | 54.508886751681835   |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | 55.959526479750785   |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735   |     |       |                      |     |



min_row: 5
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 15
target_cell_col_idx: 5
target_cell_value: -0.01771116344901817
formula: =(B3-B19)/B3*100
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   |
|---:|:-------------------------------------|:---------------------|:----|:------|:---------------------|:----|
|  4 | Rtop                                 | 169000.0             |     |       |                      |     |
|  5 | Rbottom                              | 6420.0               |     |       |                      |     |
|  6 | Rhyst_top                            | 3300.0               |     |       |                      |     |
|  7 | Rhyst_bottom                         | 124000.0             |     |       |                      |     |
|  8 | Comparator reference                 | 2.048                |     |       |                      |     |
|  9 |                                      |                      |     |       |                      |     |
| 10 |                                      |                      |     |       |                      |     |
| 11 | Outputs                              |                      |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95                |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377  |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | 0.025923016496465043 |     | Low   | [Target Cell]        | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993   |     | High  | -0.01771116344901817 | %   |
| 16 | Ideal Hysteresis (post divider)      | 0.05306692509405994  |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | 54.508886751681835   |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | 55.959526479750785   |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735   |     |       |                      |     |



min_row: 4
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 14
target_cell_col_idx: 5
target_cell_value: -0.01630596638868879
formula: =(B2-B17)/B2*100
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   |
|---:|:-------------------------------------|:--------------------|:----|:------|:---------------------|:----|
|  4 | Rtop                                 | 169000              |     |       |                      |     |
|  5 | Rbottom                              | 6420                |     |       |                      |     |
|  6 | Rhyst_top                            | 3300                |     |       |                      |     |
|  7 | Rhyst_bottom                         | 124000              |     |       |                      |     |
|  8 | Comparator reference                 | 2.048               |     |       |                      |     |
|  9 |                                      |                     |     |       |                      |     |
| 10 |                                      |                     |     |       |                      |     |
| 11 | Outputs                              |                     |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95               |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377 |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | [Target Cell]       |     | Low   | -0.01630596638868879 | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993  |     | High  | -0.01771116344901817 | %   |
| 16 | Ideal Hysteresis (post divider)      | 0.05306692509405994 |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | 54.508886751681835  |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | 55.959526479750785  |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735  |     |       |                      |     |



min_row: 4
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 14
target_cell_col_idx: 2
target_cell_value: 0.025923016496465043
formula: =$B$6/($B$6+$B$7)
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   |
|---:|:-------------------------------------|:---------------------|:----|:------|:---------------------|:----|
|  8 | Comparator reference                 | 2.048                |     |       |                      |     |
|  9 |                                      |                      |     |       |                      |     |
| 10 |                                      |                      |     |       |                      |     |
| 11 | Outputs                              |                      |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95                |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377  |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | 0.025923016496465043 |     | Low   | -0.01630596638868879 | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993   |     | High  | -0.01771116344901817 | %   |
| 16 | Ideal Hysteresis (post divider)      | 0.05306692509405994  |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | 54.508886751681835   |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | [Target Cell]        |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735   |     |       |                      |     |



min_row: 8
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 18
target_cell_col_idx: 2
target_cell_value: 55.959526479750785
formula: =$B$8*1/$B$13
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   |
|---:|:-------------------------------------|:---------------------|:----|:------|:---------------------|:----|
|  7 | Rhyst_bottom                         | 124000               |     |       |                      |     |
|  8 | Comparator reference                 | 2.048                |     |       |                      |     |
|  9 |                                      |                      |     |       |                      |     |
| 10 |                                      |                      |     |       |                      |     |
| 11 | Outputs                              |                      |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95                |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377  |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | 0.025923016496465043 |     | Low   | -0.01630596638868879 | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993   |     | High  | -0.01771116344901817 | %   |
| 16 | Ideal Hysteresis (post divider)      | 0.05306692509405994  |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | [Target Cell]        |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | 55.959526479750785   |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735   |     |       |                      |     |



min_row: 7
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 17
target_cell_col_idx: 2
target_cell_value: 54.508886751681835
formula: =$B$18-$B$14*$B$8*1/$B$13
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 | Reg      | OK       | NG       |               |     |
|  2 | reg:0x01 | val:0x00 | val:0x00 | [Target Cell] |     |
|  3 | reg:0x02 | val:0x0c | val:0x0c | SAME          |     |
|  4 | reg:0x03 | val:0x20 | val:0x20 | SAME          |     |
|  5 | reg:0x04 | val:0xc6 | val:0xc6 | SAME          |     |
|  6 | reg:0x05 | val:0x22 | val:0x22 | SAME          |     |
|  7 | reg:0x06 | val:0x09 | val:0x09 | SAME          |     |
|  8 | reg:0x07 | val:0x02 | val:0x02 | SAME          |     |
|  9 | reg:0x08 | val:0x0a | val:0x0a | SAME          |     |
| 10 | reg:0x09 | val:0x10 | val:0x10 | SAME          |     |
| 11 | reg:0x0a | val:0x13 | val:0x13 | SAME          |     |
| 12 | reg:0x0d | val:0x04 | val:0x04 | SAME          |     |



min_row: 1
max_row: 12
min_col: 1
max_col: 5
target_cell_row_idx: 2
target_cell_col_idx: 4
target_cell_value: SAME
formula: =IF(B2=C2,"SAME","DIFF")
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 |     | Decimal | Hex (24 bit)  | Decimal (16 bit) | Hex (16 bit) |     |                                                                 |
|  2 |     | 3282315 | [Target Cell] | 12821.54296875   | 3215         |     |                                                                 |
|  3 |     | 3282406 | 3215E6        | 12821.8984375    | 3215         |     | Test Setup                                                      |
|  4 |     | 3282440 | 321608        | 12822.03125      | 3216         |     | DR = 10547                                                      |
|  5 |     | 3282476 | 32162C        | 12822.171875     | 3216         |     | Fin = 84376                                                     |
|  6 |     | 3282550 | 321676        | 12822.4609375    | 3216         |     |                                                                 |
|  7 |     | 3282577 | 321691        | 12822.56640625   | 3216         |     | Fin/DR = 8                                                      |
|  8 |     | 3282490 | 32163A        | 12822.2265625    | 3216         |     |                                                                 |
|  9 |     | 3282336 | 3215A0        | 12821.625        | 3215         |     | Amplitude = 3V p2p                                              |
| 10 |     | 3282370 | 3215C2        | 12821.7578125    | 3215         |     | Offset = 1V                                                     |
| 11 |     | 3282299 | 32157B        | 12821.48046875   | 3215         |     |                                                                 |
| 12 |     | 3282432 | 321600        | 12822            | 3216         |     | Convert 16 bit by removing 8 LSBs to replicate using 16 bit DAC |



min_row: 1
max_row: 12
min_col: 1
max_col: 7
target_cell_row_idx: 2
target_cell_col_idx: 3
target_cell_value: 32158B
formula: =DEC2HEX(B2)
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   |
|---:|:-------------------------------------|:---------------------|:----|:------|:---------------------|:----|
|  6 | Rhyst_top                            | 3300                 |     |       |                      |     |
|  7 | Rhyst_bottom                         | 124000               |     |       |                      |     |
|  8 | Comparator reference                 | 2.048                |     |       |                      |     |
|  9 |                                      |                      |     |       |                      |     |
| 10 |                                      |                      |     |       |                      |     |
| 11 | Outputs                              |                      |     |       |                      |     |
| 12 | Ideal Trip Midpoint                  | 55.95                |     |       |                      |     |
| 13 | Rbottom/Rtop divider ratio           | 0.03659787937521377  |     | Error |                      |     |
| 14 | Rhyst_top/Rhyst_bottom divider ratio | 0.025923016496465043 |     | Low   | -0.01630596638868879 | %   |
| 15 | Ideal Hysteresis                     | 1.4499999999999993   |     | High  | -0.01771116344901817 | %   |
| 16 | Ideal Hysteresis (post divider)      | [Target Cell]        |     |       |                      |     |
| 17 | Actual Trip Lowpoint                 | 54.508886751681835   |     |       |                      |     |
| 18 | Actual Trip Midpoint                 | 55.959526479750785   |     |       |                      |     |
| 19 | Actual Trip Highpoint                | 57.410166207819735   |     |       |                      |     |



min_row: 6
max_row: 19
min_col: 1
max_col: 6
target_cell_row_idx: 16
target_cell_col_idx: 2
target_cell_value: 0.05306692509405994
formula: =$B$15*B13
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 |     | Decimal | Hex (24 bit) | Decimal (16 bit) | Hex (16 bit)  |     |                                                                 |
|  2 |     | 3282315 | 32158B       | 12821.54296875   | [Target Cell] |     |                                                                 |
|  3 |     | 3282406 | 3215E6       | 12821.8984375    | 3215          |     | Test Setup                                                      |
|  4 |     | 3282440 | 321608       | 12822.03125      | 3216          |     | DR = 10547                                                      |
|  5 |     | 3282476 | 32162C       | 12822.171875     | 3216          |     | Fin = 84376                                                     |
|  6 |     | 3282550 | 321676       | 12822.4609375    | 3216          |     |                                                                 |
|  7 |     | 3282577 | 321691       | 12822.56640625   | 3216          |     | Fin/DR = 8                                                      |
|  8 |     | 3282490 | 32163A       | 12822.2265625    | 3216          |     |                                                                 |
|  9 |     | 3282336 | 3215A0       | 12821.625        | 3215          |     | Amplitude = 3V p2p                                              |
| 10 |     | 3282370 | 3215C2       | 12821.7578125    | 3215          |     | Offset = 1V                                                     |
| 11 |     | 3282299 | 32157B       | 12821.48046875   | 3215          |     |                                                                 |
| 12 |     | 3282432 | 321600       | 12822            | 3216          |     | Convert 16 bit by removing 8 LSBs to replicate using 16 bit DAC |



min_row: 1
max_row: 12
min_col: 1
max_col: 7
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 3215
formula: =DEC2HEX(D2)
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B       | C            | D                | E            | F   | G                                                               |
|---:|:----|:--------|:-------------|:-----------------|:-------------|:----|:----------------------------------------------------------------|
|  1 |     | Decimal | Hex (24 bit) | Decimal (16 bit) | Hex (16 bit) |     |                                                                 |
|  2 |     | 3282315 | 32158B       | [Target Cell]    | 3215         |     |                                                                 |
|  3 |     | 3282406 | 3215E6       | 12821.8984375    | 3215         |     | Test Setup                                                      |
|  4 |     | 3282440 | 321608       | 12822.03125      | 3216         |     | DR = 10547                                                      |
|  5 |     | 3282476 | 32162C       | 12822.171875     | 3216         |     | Fin = 84376                                                     |
|  6 |     | 3282550 | 321676       | 12822.4609375    | 3216         |     |                                                                 |
|  7 |     | 3282577 | 321691       | 12822.56640625   | 3216         |     | Fin/DR = 8                                                      |
|  8 |     | 3282490 | 32163A       | 12822.2265625    | 3216         |     |                                                                 |
|  9 |     | 3282336 | 3215A0       | 12821.625        | 3215         |     | Amplitude = 3V p2p                                              |
| 10 |     | 3282370 | 3215C2       | 12821.7578125    | 3215         |     | Offset = 1V                                                     |
| 11 |     | 3282299 | 32157B       | 12821.48046875   | 3215         |     |                                                                 |
| 12 |     | 3282432 | 321600       | 12822            | 3216         |     | Convert 16 bit by removing 8 LSBs to replicate using 16 bit DAC |



min_row: 1
max_row: 12
min_col: 1
max_col: 7
target_cell_row_idx: 2
target_cell_col_idx: 4
target_cell_value: 12821.54296875
formula: =B2/(2^8)