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   |
|---:|:------------------|:-------|:--------------------|:----|
|  1 | 芯片序列号        |        |                     |     |
|  2 | EC:24:B8:46:D6:2A |        |                     |     |
|  3 |                   |        |                     |     |
|  4 | 采用1.24v参考电压 |        |                     |     |
|  5 | 实际值            | 测量值 | 误差值              |     |
|  6 | 14.97             | 15.54  | [Target Cell]       |     |
|  7 | 14.47             | 15.02  | 0.5499999999999989  |     |
|  8 | 13.99             | 14.52  | 0.5299999999999994  |     |
|  9 | 13.54             | 14.04  | 0.5                 |     |
| 10 | 12.99             | 13.47  | 0.4800000000000004  |     |
| 11 | 12.53             | 13     | 0.47000000000000064 |     |
| 12 | 12.01             | 12.45  | 0.4399999999999995  |     |
| 13 | 11.5              | 11.92  | 0.41999999999999993 |     |
| 14 | 11.04             | 11.44  | 0.40000000000000036 |     |
| 15 | 10.45             | 10.83  | 0.3800000000000008  |     |
| 16 | 9.95              | 10.3   | 0.3500000000000014  |     |



min_row: 1
max_row: 16
min_col: 1
max_col: 4
target_cell_row_idx: 6
target_cell_col_idx: 3
target_cell_value: 0.5699999999999985
formula: =B6-A6
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                   |
|---:|:-----------------|:-------|:---------------------|:--------------------|
| 16 | 9.95             | 10.3   | 0.3500000000000014   |                     |
| 17 | 9.45             | 9.77   | 0.3200000000000003   |                     |
| 18 | 8.98             | 9.28   | 0.29999999999999893  |                     |
| 19 | 8.47             | 8.76   | 0.28999999999999915  |                     |
| 20 | 7.97             | 8.23   | 0.2600000000000007   |                     |
| 21 | 7.48             | 7.72   | 0.23999999999999932  |                     |
| 22 | 7.02             | 7.25   | 0.23000000000000043  |                     |
| 23 |                  |        |                      |                     |
| 24 | 采用3.3v参考电压 |        |                      |                     |
| 25 | 实际值           | 测量值 | 误差值               |                     |
| 26 | 14.98            | 15.024 | [Target Cell]        | 0.29372496662215425 |
| 27 | 14.48            | 14.523 | 0.04299999999999926  | 0.2969613259668457  |
| 28 | 13.99            | 14.044 | 0.05400000000000027  | 0.38598999285203905 |
| 29 | 13.54            | 13.581 | 0.04100000000000037  | 0.3028064992614503  |
| 30 | 12.99            | 13.034 | 0.04400000000000048  | 0.33872209391840247 |
| 31 | 12.54            | 12.581 | 0.04100000000000037  | 0.32695374800638255 |
| 32 | 12.01            | 12.053 | 0.04300000000000104  | 0.35803497085762725 |
| 33 | 11.51            | 11.543 | 0.032999999999999474 | 0.28670721112076    |
| 34 | 11.05            | 11.083 | 0.032999999999999474 | 0.2986425339366468  |
| 35 | 10.45            | 10.49  | 0.040000000000000924 | 0.38277511961723376 |
| 36 | 9.95             | 9.985  | 0.03500000000000014  | 0.3517587939698507  |



min_row: 16
max_row: 36
min_col: 1
max_col: 4
target_cell_row_idx: 26
target_cell_col_idx: 3
target_cell_value: 0.04399999999999871
formula: =B26-A26
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 | 电阻 |               |          |              |              |          |
|  2 | 封装 | 常用功率      | 提升功率 | 最大工作电压 | 工作最低温度 | 最高温度 |
|  3 | 201  | 0.05w         |          | 25           | -55          | 125      |
|  4 | 402  | [Target Cell] |          | 50           |              |          |
|  5 | 603  | 0.0625        | 0.1      | 50           |              |          |
|  6 | 805  | 0.1           | 0.125    | 150          |              |          |
|  7 | 1206 | 0.125         | 0.25     | 200          |              |          |
|  8 | 1210 | 0.25          | 0.33     | 200          |              |          |
|  9 | 1812 | 0.5           |          | 200          |              |          |
| 10 | 2010 | 0.5           | 0.75     | 200          |              |          |
| 11 | 2512 | 1w            |          | 200          |              |          |



min_row: 1
max_row: 11
min_col: 1
max_col: 6
target_cell_row_idx: 4
target_cell_col_idx: 2
target_cell_value: 0.0625
formula: =1/16
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                   |
|---:|:-----------------|:-------|:---------------------|:--------------------|
| 16 | 9.95             | 10.3   | 0.3500000000000014   |                     |
| 17 | 9.45             | 9.77   | 0.3200000000000003   |                     |
| 18 | 8.98             | 9.28   | 0.29999999999999893  |                     |
| 19 | 8.47             | 8.76   | 0.28999999999999915  |                     |
| 20 | 7.97             | 8.23   | 0.2600000000000007   |                     |
| 21 | 7.48             | 7.72   | 0.23999999999999932  |                     |
| 22 | 7.02             | 7.25   | 0.23000000000000043  |                     |
| 23 |                  |        |                      |                     |
| 24 | 采用3.3v参考电压 |        |                      |                     |
| 25 | 实际值           | 测量值 | 误差值               |                     |
| 26 | 14.98            | 15.024 | 0.04399999999999871  | [Target Cell]       |
| 27 | 14.48            | 14.523 | 0.04299999999999926  | 0.2969613259668457  |
| 28 | 13.99            | 14.044 | 0.05400000000000027  | 0.38598999285203905 |
| 29 | 13.54            | 13.581 | 0.04100000000000037  | 0.3028064992614503  |
| 30 | 12.99            | 13.034 | 0.04400000000000048  | 0.33872209391840247 |
| 31 | 12.54            | 12.581 | 0.04100000000000037  | 0.32695374800638255 |
| 32 | 12.01            | 12.053 | 0.04300000000000104  | 0.35803497085762725 |
| 33 | 11.51            | 11.543 | 0.032999999999999474 | 0.28670721112076    |
| 34 | 11.05            | 11.083 | 0.032999999999999474 | 0.2986425339366468  |
| 35 | 10.45            | 10.49  | 0.040000000000000924 | 0.38277511961723376 |
| 36 | 9.95             | 9.985  | 0.03500000000000014  | 0.3517587939698507  |



min_row: 16
max_row: 36
min_col: 1
max_col: 4
target_cell_row_idx: 26
target_cell_col_idx: 4
target_cell_value: 0.29372496662215425
formula: =C26/A26*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        |
|---:|:-----|:--------------|:---------|:-------------|:-------------|:---------|
|  1 | 电阻 |               |          |              |              |          |
|  2 | 封装 | 常用功率      | 提升功率 | 最大工作电压 | 工作最低温度 | 最高温度 |
|  3 | 201  | 0.05w         |          | 25           | -55          | 125      |
|  4 | 402  | 0.0625        |          | 50           |              |          |
|  5 | 603  | 0.0625        | 0.1      | 50           |              |          |
|  6 | 805  | 0.1           | 0.125    | 150          |              |          |
|  7 | 1206 | [Target Cell] | 0.25     | 200          |              |          |
|  8 | 1210 | 0.25          | 0.33     | 200          |              |          |
|  9 | 1812 | 0.5           |          | 200          |              |          |
| 10 | 2010 | 0.5           | 0.75     | 200          |              |          |
| 11 | 2512 | 1w            |          | 200          |              |          |



min_row: 1
max_row: 11
min_col: 1
max_col: 6
target_cell_row_idx: 7
target_cell_col_idx: 2
target_cell_value: 0.125
formula: =1/8
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    |   A |    B |        C | D                   | E    | F   | G   | H   | I   | J   | K             | L                    |
|---:|----:|-----:|---------:|:--------------------|:-----|:----|:----|:----|:----|:----|:--------------|:---------------------|
|  1 |  47 | 6948 | 0.381665 | 0.38155517578125003 |      |     |     |     |     |     | [Target Cell] | 0.037634099101059554 |
|  2 |  46 | 6946 | 0.381555 |                     | -2.0 |     |     |     |     |     |               |                      |
|  3 |  45 | 6946 | 0.381555 |                     | 0.0  |     |     |     |     |     |               |                      |
|  4 |  44 | 6946 | 0.381555 |                     | 0.0  |     |     |     |     |     |               |                      |
|  5 |  43 | 6948 | 0.381665 |                     | 2.0  |     |     |     |     |     |               |                      |
|  6 |  42 | 6946 | 0.381555 |                     | -2.0 |     |     |     |     |     |               |                      |
|  7 |  41 | 6940 | 0.381226 |                     | -6.0 |     |     |     |     |     |               |                      |
|  8 |  40 | 6946 | 0.381555 |                     | 6.0  |     |     |     |     |     |               |                      |
|  9 |  39 | 6948 | 0.381665 |                     | 2.0  |     |     |     |     |     |               |                      |
| 10 |  38 | 6942 | 0.381335 |                     | -6.0 |     |     |     |     |     |               |                      |
| 11 |  37 | 6946 | 0.381555 |                     | 4.0  |     |     |     |     |     |               |                      |



min_row: 1
max_row: 11
min_col: 1
max_col: 12
target_cell_row_idx: 1
target_cell_col_idx: 11
target_cell_value: 0.00014359485297873762
formula: =STDEVP(C1:C48)
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B   | C   | D   | E   | F   | G   | H   | I             | J                                            | K                | L   |
|---:|:----|:----|:----|:----|:----|:----|:----|:----|:--------------|:---------------------------------------------|:-----------------|:----|
|  1 |     |     |     |     |     |     |     |     |               | PVDD                                         | 19               | V   |
|  2 |     |     |     |     |     |     |     |     |               |                                              |                  |     |
|  3 |     |     |     |     |     |     |     |     |               | FET Rds_on                                   | 0.2              | ohm |
|  4 |     |     |     |     |     |     |     |     | parasitic DCR | Inductor 2pcs (Sunlord ASWPA6055)            | 0.052            | ohm |
|  5 |     |     |     |     |     |     |     |     |               | speaker trace(2.7mm width, 15cm length, 1oZ) | 0.06             | ohm |
|  6 |     |     |     |     |     |     |     |     |               | connector                                    | 0.005            | ohm |
|  7 |     |     |     |     |     |     |     |     |               | speaker cable 1.5meter, AWG18(1mm diameter)  | 0.066            | ohm |
|  8 |     |     |     |     |     |     |     |     |               | Load                                         | 8                | ohm |
|  9 |     |     |     |     |     |     |     |     |               |                                              |                  |     |
| 10 |     |     |     |     |     |     |     |     |               | 1%THD PO (good sine wave)                    | 20.5479386753316 | W   |
| 11 |     |     |     |     |     |     |     |     |               | 10%THD PO (1.2*1%THDPO)                      | [Target Cell]    | W   |



min_row: 1
max_row: 11
min_col: 1
max_col: 12
target_cell_row_idx: 11
target_cell_col_idx: 11
target_cell_value: 24.65752641039792
formula: =K10*1.2
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B   | C   | D   | E   | F   | G   | H   | I             | J                                            | K                 | L   |
|---:|:----|:----|:----|:----|:----|:----|:----|:----|:--------------|:---------------------------------------------|:------------------|:----|
|  1 |     |     |     |     |     |     |     |     |               | PVDD                                         | 19                | V   |
|  2 |     |     |     |     |     |     |     |     |               |                                              |                   |     |
|  3 |     |     |     |     |     |     |     |     |               | FET Rds_on                                   | 0.2               | ohm |
|  4 |     |     |     |     |     |     |     |     | parasitic DCR | Inductor 2pcs (Sunlord ASWPA6055)            | 0.052             | ohm |
|  5 |     |     |     |     |     |     |     |     |               | speaker trace(2.7mm width, 15cm length, 1oZ) | 0.06              | ohm |
|  6 |     |     |     |     |     |     |     |     |               | connector                                    | 0.005             | ohm |
|  7 |     |     |     |     |     |     |     |     |               | speaker cable 1.5meter, AWG18(1mm diameter)  | 0.066             | ohm |
|  8 |     |     |     |     |     |     |     |     |               | Load                                         | 8                 | ohm |
|  9 |     |     |     |     |     |     |     |     |               |                                              |                   |     |
| 10 |     |     |     |     |     |     |     |     |               | 1%THD PO (good sine wave)                    | [Target Cell]     | W   |
| 11 |     |     |     |     |     |     |     |     |               | 10%THD PO (1.2*1%THDPO)                      | 24.65752641039792 | W   |



min_row: 1
max_row: 11
min_col: 1
max_col: 12
target_cell_row_idx: 10
target_cell_col_idx: 11
target_cell_value: 20.5479386753316
formula: =((K1*K1)/(K3+K4+K5+K6+K7+K8)/2)*K8/(K3+K4+K5+K6+K7+K8)
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:
|    | R        | S        | T        | U        | V        | W        | X        | Y        | Z        | AA   | AB            | AC   |
|---:|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:-----|:--------------|:-----|
|  1 | Test 16: | Test 17: | Test 18: | Test 19: | Test 20: | Test 21: | Test 22: | Test 23: | Test 24: |      | Min           | Max  |
|  2 | 18       | 18       | 20       | 18       | 19       | 19       | 18       | 18       | 18       |      | [Target Cell] | 20   |
|  3 | 33       | 33       | 33       | 33       | 33       | 33       | 33       | 33       | 33       |      | 33            | 33   |
|  4 | 29       | 28       | 28       | 28       | 28       | 28       | 28       | 28       | 28       |      | 28            | 29   |
|  5 | 29       | 28       | 28       | 28       | 28       | 28       | 28       | 28       | 28       |      | 28            | 29   |
|  6 | 57       | 55       | 57       | 55       | 55       | 55       | 55       | 57       | 55       |      | 55            | 58   |
|  7 |          |          |          |          |          |          |          |          |          |      |               |      |
|  8 | 32       | 31       | 31       | 32       | 32       | 31       | 32       | 31       | 31       |      | 31            | 32   |
|  9 | 33       | 32       | 32       | 32       | 33       | 32       | 32       | 32       | 32       |      | 32            | 33   |
| 10 | 29       | 29       | 29       | 28       | 29       | 28       | 29       | 29       | 28       |      | 28            | 29   |
| 11 | 29       | 29       | 29       | 28       | 29       | 28       | 29       | 29       | 28       |      | 28            | 29   |
| 12 | 62       | 61       | 63       | 59       | 63       | 61       | 62       | 61       | 61       |      | 58            | 63   |



min_row: 1
max_row: 12
min_col: 18
max_col: 29
target_cell_row_idx: 2
target_cell_col_idx: 28
target_cell_value: 18
formula: =MIN(C2:Z2)
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:
|    | R    | S     | T    | U    | V    | W    | X     | Y    | Z    | AA   | AB            | AC    |
|---:|:-----|:------|:-----|:-----|:-----|:-----|:------|:-----|:-----|:-----|:--------------|:------|
| 40 | 25.0 | 25.0  | 27.0 | 26.0 | 25.0 | 25.0 | 25.0  | 26.0 | 25.0 |      | 25            | 27.0  |
| 41 | 25.0 | 25.0  | 27.0 | 26.0 | 25.0 | 25.0 | 25.0  | 26.0 | 25.0 |      | 25            | 27.0  |
| 42 | 19.0 | 18.0  | 21.0 | 19.0 | 19.0 | 19.0 | 20.0  | 20.0 | 19.0 |      | 18            | 21.0  |
| 43 |      |       |      |      |      |      |       |      |      |      |               |       |
| 44 | 79.0 | 80.0  | 81.0 | 80.0 | 81.0 | 81.0 | 79.0  | 79.0 | 81.0 |      | 78            | 81.0  |
| 45 | 34.0 | 33.0  | 33.0 | 34.0 | 34.0 | 34.0 | 34.0  | 34.0 | 33.0 |      | 33            | 34.0  |
| 46 | 26.0 | 25.0  | 26.0 | 26.0 | 26.0 | 26.0 | 26.0  | 26.0 | 26.0 |      | 25            | 26.0  |
| 47 | 27.0 | 26.0  | 27.0 | 27.0 | 27.0 | 26.0 | 26.0  | 27.0 | 27.0 |      | 26            | 27.0  |
| 48 | 69.0 | 71.0  | 11.0 | 12.0 | 71.0 | 70.0 | 72.0  | 74.0 | 14.0 |      | 11            | 74.0  |
| 49 |      |       |      |      |      |      |       |      |      |      |               |       |
| 50 | 34.0 | 34.0  | 34.0 | 34.0 | 33.0 | 34.0 | 34.0  | 34.0 | 34.0 |      | [Target Cell] | 34.0  |
| 51 | 33.0 | 32.0  | 33.0 | 33.0 | 33.0 | 32.0 | 33.0  | 32.0 | 33.0 |      | 32            | 33.0  |
| 52 | 29.0 | 29.0  | 29.0 | 29.0 | 29.0 | 29.0 | 29.0  | 28.0 | 29.0 |      | 28            | 29.0  |
| 53 | 29.0 | 29.0  | 29.0 | 29.0 | 29.0 | 29.0 | 29.0  | 28.0 | 29.0 |      | 28            | 29.0  |
| 54 | 99.0 | 100.0 | 98.0 | 99.0 | 99.0 | 99.0 | 100.0 | 99.0 | 98.0 |      | 98            | 100.0 |



min_row: 40
max_row: 54
min_col: 18
max_col: 29
target_cell_row_idx: 50
target_cell_col_idx: 28
target_cell_value: 33
formula: =MIN(C50:Z50)
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 |     |                    |                                           |                     |     |
|  2 |     | Signal Input in mv | Out put in mv after processing ADC output | Difference mV       |     |
|  3 |     | 1                  | 3.18                                      | [Target Cell]       |     |
|  4 |     | 2.5                | 3.18                                      | -0.6800000000000002 |     |
|  5 |     | 5                  | 3.18                                      | 1.8199999999999998  |     |
|  6 |     | 7.5                | 4.45                                      | 3.05                |     |
|  7 |     | 10                 | 6.21                                      | 3.79                |     |
|  8 |     | 20                 | 14.85                                     | 5.15                |     |
|  9 |     | 30                 | 23.8                                      | 6.199999999999999   |     |
| 10 |     | 40                 | 33                                        | 7                   |     |
| 11 |     | 50                 | 42.3                                      | 7.700000000000003   |     |
| 12 |     | 60                 | 51.6                                      | 8.399999999999999   |     |
| 13 |     | 70                 | 60.96                                     | 9.04                |     |



min_row: 1
max_row: 13
min_col: 1
max_col: 5
target_cell_row_idx: 3
target_cell_col_idx: 4
target_cell_value: -2.18
formula: =B3-C3
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    |
|---:|:----|:----------|:--------------|:-----|
| 34 |     |           |               |      |
| 35 |     | RefDes    | Value         | Unit |
| 36 |     | RBLKupper | 15            | MΩ   |
| 37 |     | RBLKlower | 125           | kΩ   |
| 38 |     | RBWupper  | 21            | KΩ   |
| 39 |     | RBWlower  | 5.76          | KΩ   |
| 40 |     | CISNS     | 150           | pF   |
| 41 |     | RISNS     | 128           | Ω    |
| 42 |     | CVCRupper | 55            | pF   |
| 43 |     | CVCRlower | 8200          | pF   |
| 44 |     | Lr        | [Target Cell] | uH   |
| 45 |     | Lm        | 124           | uH   |
| 46 |     | Cr        | 0.08          | uF   |
| 47 |     | CSS       | 100           | nF   |
| 48 |     | RLLupper  | 287           | KΩ   |
| 49 |     | RLLlower  | 157           | KΩ   |



min_row: 34
max_row: 49
min_col: 1
max_col: 4
target_cell_row_idx: 44
target_cell_col_idx: 3
target_cell_value: 31
formula: =Lr
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                        | B       | C      | D        | E             | F    | G    | H   | I   | J   | K    | L    | M    | N    | O    |
|---:|:-------------------------|:--------|:-------|:---------|:--------------|:-----|:-----|:----|:----|:----|:-----|:-----|:-----|:-----|:-----|
|  1 |                          |         |        |          |               |      |      |     |     |     |      |      |      |      |      |
|  2 |                          | Address | Length | Register | [Target Cell] | 3.0  | 4.0  | 5.0 | 6.0 | 7   | 8.0  | 9.0  | 10.0 | 11.0 | 12.0 |
|  3 | SET CONTROL EXTCODEC PRE | 30      | 18     | 2        | 0             | 91.0 | 80.0 | 0.0 | 0.0 | 8A  | 10.0 | 37.0 | 0.0  | 1.0  | 0.0  |
|  4 |                          | 0       | 1      | 2        | 3             | 4.0  | 5.0  | 6.0 | 7.0 | 8   | 9.0  | 10.0 | 11.0 | 12.0 | 13.0 |



min_row: 1
max_row: 4
min_col: 1
max_col: 15
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 2
formula: =HEX2DEC(D3)
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:
|    | AD   | AE   | AF   | AG   | AH   | AI   | AJ   | AK   | AL                                   | AM     | AN            | AO   | AP   | AQ    | AR    | AS   | AT   | AU    | AV    | AW    | AX   |
|---:|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-------------------------------------|:-------|:--------------|:-----|:-----|:------|:------|:-----|:-----|:------|:------|:------|:-----|
|  1 |      |      |      |      |      |      |      |      |                                      |        |               |      |      |       |       |      |      |       |       |       |      |
|  2 |      |      |      |      |      |      |      |      |                                      |        |               |      |      |       |       |      |      |       |       |       |      |
|  3 |      |      |      |      |      |      |      |      | unsigned char CODEC_IC2_DATA1 [26] = | {0x30, | [Target Cell] | 0x2, | 0x0, | 0x91, | 0x80, | 0x0, | 0x0, | 0x8A, | 0x10, | 0x37, | 0x0, |
|  4 |      |      |      |      |      |      |      |      |                                      |        |               |      |      |       |       |      |      |       |       |       |      |



min_row: 1
max_row: 4
min_col: 30
max_col: 50
target_cell_row_idx: 3
target_cell_col_idx: 40
target_cell_value: 0x18,
formula: ="0x"&C3&","
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                        | B       | C      | D        | E             | F    | G    | H   | I   | J   | K   | L   | M   | N   | O   |
|---:|:-------------------------|:--------|:-------|:---------|:--------------|:-----|:-----|:----|:----|:----|:----|:----|:----|:----|:----|
|  1 |                          |         |        |          |               |      |      |     |     |     |     |     |     |     |     |
|  2 |                          | Address | Length | Register | [Target Cell] | 38.0 | 39.0 |     |     |     |     |     |     |     |     |
|  3 | SET CONTROL EXTCODEC PRE | 30      | 4      | 25       | C0            | 14.0 | 0.0  |     |     |     |     |     |     |     |     |



min_row: 1
max_row: 3
min_col: 1
max_col: 15
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 37
formula: =HEX2DEC(D3)
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                        | B       | C      | D        | E   | F             | G    | H   | I   | J   | K    | L    | M    | N    | O    | P    |
|---:|:-------------------------|:--------|:-------|:---------|:----|:--------------|:-----|:----|:----|:----|:-----|:-----|:-----|:-----|:-----|:-----|
|  1 |                          |         |        |          |     |               |      |     |     |     |      |      |      |      |      |      |
|  2 |                          | Address | Length | Register | 2.0 | [Target Cell] | 4.0  | 5.0 | 6.0 | 7   | 8.0  | 9.0  | 10.0 | 11.0 | 12.0 | 13.0 |
|  3 | SET CONTROL EXTCODEC PRE | 30      | 18     | 2        | 0.0 | 91            | 80.0 | 0.0 | 0.0 | 8A  | 10.0 | 37.0 | 0.0  | 1.0  | 0.0  | 0.0  |
|  4 |                          | 0       | 1      | 2        | 3.0 | 4             | 5.0  | 6.0 | 7.0 | 8   | 9.0  | 10.0 | 11.0 | 12.0 | 13.0 | 14.0 |



min_row: 1
max_row: 4
min_col: 1
max_col: 16
target_cell_row_idx: 2
target_cell_col_idx: 6
target_cell_value: 3
formula: =E2+1
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:
|    | AC   | AD   | AE   | AF   | AG   | AH   | AI   | AJ   | AK   | AL                                   | AM            | AN    | AO   | AP   | AQ    | AR    | AS   | AT   | AU    | AV    | AW    |
|---:|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-------------------------------------|:--------------|:------|:-----|:-----|:------|:------|:-----|:-----|:------|:------|:------|
|  1 |      |      |      |      |      |      |      |      |      |                                      |               |       |      |      |       |       |      |      |       |       |       |
|  2 |      |      |      |      |      |      |      |      |      |                                      |               |       |      |      |       |       |      |      |       |       |       |
|  3 |      |      |      |      |      |      |      |      |      | unsigned char CODEC_IC2_DATA1 [26] = | [Target Cell] | 0x18, | 0x2, | 0x0, | 0x91, | 0x80, | 0x0, | 0x0, | 0x8A, | 0x10, | 0x37, |
|  4 |      |      |      |      |      |      |      |      |      |                                      |               |       |      |      |       |       |      |      |       |       |       |



min_row: 1
max_row: 4
min_col: 29
max_col: 49
target_cell_row_idx: 3
target_cell_col_idx: 39
target_cell_value: {0x30,
formula: ="{0x"&B3&","
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | P   | Q   | R   | S   | T   | U   | V   | W   | X                                   | Y      | Z             | AA    | AB    | AC    | AD    |
|---:|:----|:----|:----|:----|:----|:----|:----|:----|:------------------------------------|:-------|:--------------|:------|:------|:------|:------|
|  1 |     |     |     |     |     |     |     |     |                                     |        |               |       |       |       |       |
|  2 |     |     |     |     |     |     |     |     |                                     |        |               |       |       |       |       |
|  3 |     |     |     |     |     |     |     |     | unsigned char CODEC_IC2_DATA2 [6] = | {0x30, | [Target Cell] | 0x25, | 0xC0, | 0x14, | 0x0}; |



min_row: 1
max_row: 3
min_col: 16
max_col: 30
target_cell_row_idx: 3
target_cell_col_idx: 26
target_cell_value: 0x4,
formula: ="0x"&C3&","
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:
|    | O   | P   | Q   | R   | S   | T   | U   | V   | W   | X                                   | Y             | Z    | AA    | AB    | AC    | AD    |
|---:|:----|:----|:----|:----|:----|:----|:----|:----|:----|:------------------------------------|:--------------|:-----|:------|:------|:------|:------|
|  1 |     |     |     |     |     |     |     |     |     |                                     |               |      |       |       |       |       |
|  2 |     |     |     |     |     |     |     |     |     |                                     |               |      |       |       |       |       |
|  3 |     |     |     |     |     |     |     |     |     | unsigned char CODEC_IC2_DATA2 [6] = | [Target Cell] | 0x4, | 0x25, | 0xC0, | 0x14, | 0x0}; |



min_row: 1
max_row: 3
min_col: 15
max_col: 30
target_cell_row_idx: 3
target_cell_col_idx: 25
target_cell_value: {0x30,
formula: ="{0x"&B3&","
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | BB    | BC   | BD   | BE    | BF    | BG    | BH    | BI    | BJ    | BK    | BL            |
|---:|:------|:-----|:-----|:------|:------|:------|:------|:------|:------|:------|:--------------|
|  1 |       |      |      |       |       |       |       |       |       |       |               |
|  2 |       |      |      |       |       |       |       |       |       |       |               |
|  3 | 0x80, | 0x0, | 0x0, | 0x0F, | 0xF0, | 0x7C, | 0x7C, | 0x78, | 0x7C, | 0x7C, | [Target Cell] |
|  4 |       |      |      |       |       |       |       |       |       |       |               |



min_row: 1
max_row: 4
min_col: 54
max_col: 64
target_cell_row_idx: 3
target_cell_col_idx: 64
target_cell_value: 0x78};
formula: ="0x"&AA3&"};"