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

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B             | C    | D    | E    | F                    |
|---:|:----|:--------------|:-----|:-----|:-----|:---------------------|
|  1 |     | 計算点数      | 次数 | 単位 | 単位 | 窓関数               |
|  2 |     | [Target Cell] | 1    | s    | Hz   | なし（矩形）         |
|  3 |     | 4             | 2    | ms   | kHz  | ハニング             |
|  4 |     | 8             | 3    | us   | MHz  | ハミング             |
|  5 |     | 16            | 4    |      |      | ガウス1σ             |
|  6 |     | 32            | 5    |      |      | ガウス2σ             |
|  7 |     | 64            | 6    |      |      | ガウス3σ             |
|  8 |     | 128           | 7    |      |      | ブラックマン・ハリス |
|  9 |     | 256           | 8    |      |      | フラップトップ       |
| 10 |     | 512           | 9    |      |      | 半正弦波             |
| 11 |     | 1024          | 10   |      |      |                      |
| 12 |     | 2048          | 11   |      |      |                      |



min_row: 1
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 2
target_cell_col_idx: 2
target_cell_value: 2
formula: =2^C2
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

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



min_row: 1
max_row: 12
min_col: 1
max_col: 11
target_cell_row_idx: 2
target_cell_col_idx: 11
target_cell_value: 2.6
formula: =A2-0.1-(H2)*(G2)/2
Task: Formula-prediction-context (source dataset: ti-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A               | B                 | C                | D        | E    | F   | G   | H   | I   | J   | K   |
|---:|:----------------|:------------------|:-----------------|:---------|:-----|:----|:----|:----|:----|:----|:----|
|  1 | Source: TI wiki | MCU Kicad Library | EESchema-LIBRARY | Version  | 2.3  |     |     |     |     |     |     |
|  2 |                 |                   | #encoding        | utf-8    |      |     |     |     |     |     |     |
|  3 | [Target Cell]   |                   | #                |          |      |     |     |     |     |     |     |
|  4 | 0               |                   | #                | LM3S5632 |      |     |     |     |     |     |     |
|  5 | 0               |                   | #                |          |      |     |     |     |     |     |     |
|  6 | 0               |                   | DEF              | LM3S5632 | U    |     |     |     |     |     |     |
|  7 | 0               |                   | F0               | U        | 1650 |     |     |     |     |     |     |
|  8 | 0               |                   | F1               | LM3S5632 | 850  |     |     |     |     |     |     |
|  9 | 0               |                   | F2               | ~        | 0    |     |     |     |     |     |     |
| 10 | 0               | 00                | F3               | ~        | 0    |     |     |     |     |     |     |
| 11 | 0               | 0                 | DRAW             |          |      |     |     |     |     |     |     |
| 12 | LM3S5632        | LM3S56320         | S                | 0        | 0    |     |     |     |     |     |     |
| 13 | LM3S5632        | LM3S56324         | X                | GNDA     | 4    |     |     |     |     |     |     |



min_row: 1
max_row: 13
min_col: 1
max_col: 11
target_cell_row_idx: 3
target_cell_col_idx: 1
target_cell_value: 0
formula: =IF(C2="DRAW",D1,A2)
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    |
|---:|:------|:------------------------------|:--------------|:-----|
| 25 |       |                               |               |      |
| 26 |       |                               |               |      |
| 27 |       | VIGMIN                        | 10            | V    |
| 28 |       | VIGMAX                        | 32            | V    |
| 29 |       | VENMIN                        | 1.5           | V    |
| 30 |       |                               |               |      |
| 31 | Step1 |                               |               |      |
| 32 |       | R2/(R1+R2) * VIGMIN > VENMIN  |               |      |
| 33 |       | R1 < (VIGMIN/VENMIN-1)*R2     |               |      |
| 34 |       |                               |               |      |
| 35 |       | R1                            | [Target Cell] | kohm |
| 36 |       | R2                            | 15            | kohm |
| 37 |       |                               |               |      |
| 38 | Step2 |                               |               |      |
| 39 |       | IA = (VIG-VEN)/R1             |               |      |
| 40 |       | IB = VEN/R2                   |               |      |
| 41 |       | IC = 100uA                    |               |      |
| 42 |       | IA = IB + IC                  |               |      |
| 43 |       |                               |               |      |
| 44 |       | (VIG-VEN)/R1 = VEN/R2 + IC    |               |      |
| 45 |       | VIG-VEN = (R1/R2)*VEN + IC*R1 |               |      |



min_row: 25
max_row: 45
min_col: 1
max_col: 4
target_cell_row_idx: 35
target_cell_col_idx: 3
target_cell_value: 84
formula: =ROUNDDOWN((C27/C29-1),1)*C36
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   |
|---:|:----|:--------------------------------|:--------------------|:----|
| 40 |     | IB = VEN/R2                     |                     |     |
| 41 |     | IC = 100uA                      |                     |     |
| 42 |     | IA = IB + IC                    |                     |     |
| 43 |     |                                 |                     |     |
| 44 |     | (VIG-VEN)/R1 = VEN/R2 + IC      |                     |     |
| 45 |     | VIG-VEN = (R1/R2)*VEN + IC*R1   |                     |     |
| 46 |     | VIG - IC*R1  = (R1+R2)/R2 * VEN |                     |     |
| 47 |     | VEN = R2/(R1+R2)(VIG-IC*R1)     |                     |     |
| 48 |     |                                 |                     |     |
| 49 |     | R2/(R1+R2)                      | 0.15151515151515152 |     |
| 50 |     | IC*R1                           | [Target Cell]       | V   |
| 51 |     | VIG                             | 32                  |     |
| 52 |     | VEN(>5.8V)                      | 3.58                | V   |
| 53 |     | VEN(<5.8V)                      | 4.85                | V   |
| 54 |     | VEN                             | 4.85                | V   |



min_row: 40
max_row: 54
min_col: 1
max_col: 4
target_cell_row_idx: 50
target_cell_col_idx: 3
target_cell_value: 8.4
formula: =C35*0.1
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:
|    | A   | B                               | C                   | D   |
|---:|:----|:--------------------------------|:--------------------|:----|
| 42 |     | IA = IB + IC                    |                     |     |
| 43 |     |                                 |                     |     |
| 44 |     | (VIG-VEN)/R1 = VEN/R2 + IC      |                     |     |
| 45 |     | VIG-VEN = (R1/R2)*VEN + IC*R1   |                     |     |
| 46 |     | VIG - IC*R1  = (R1+R2)/R2 * VEN |                     |     |
| 47 |     | VEN = R2/(R1+R2)(VIG-IC*R1)     |                     |     |
| 48 |     |                                 |                     |     |
| 49 |     | R2/(R1+R2)                      | 0.15151515151515152 |     |
| 50 |     | IC*R1                           | 8.4                 | V   |
| 51 |     | VIG                             | 32                  |     |
| 52 |     | VEN(>5.8V)                      | [Target Cell]       | V   |
| 53 |     | VEN(<5.8V)                      | 4.85                | V   |
| 54 |     | VEN                             | 4.85                | V   |



min_row: 42
max_row: 54
min_col: 1
max_col: 4
target_cell_row_idx: 52
target_cell_col_idx: 3
target_cell_value: 3.58
formula: =ROUND((C51-C50)*C49,2)
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   |
|---:|:----|:--------------------------------|:--------------|:----|
| 39 |     | IA = (VIG-VEN)/R1               |               |     |
| 40 |     | IB = VEN/R2                     |               |     |
| 41 |     | IC = 100uA                      |               |     |
| 42 |     | IA = IB + IC                    |               |     |
| 43 |     |                                 |               |     |
| 44 |     | (VIG-VEN)/R1 = VEN/R2 + IC      |               |     |
| 45 |     | VIG-VEN = (R1/R2)*VEN + IC*R1   |               |     |
| 46 |     | VIG - IC*R1  = (R1+R2)/R2 * VEN |               |     |
| 47 |     | VEN = R2/(R1+R2)(VIG-IC*R1)     |               |     |
| 48 |     |                                 |               |     |
| 49 |     | R2/(R1+R2)                      | [Target Cell] |     |
| 50 |     | IC*R1                           | 8.4           | V   |
| 51 |     | VIG                             | 32            |     |
| 52 |     | VEN(>5.8V)                      | 3.58          | V   |
| 53 |     | VEN(<5.8V)                      | 4.85          | V   |
| 54 |     | VEN                             | 4.85          | V   |



min_row: 39
max_row: 54
min_col: 1
max_col: 4
target_cell_row_idx: 49
target_cell_col_idx: 3
target_cell_value: 0.15151515151515152
formula: =C36/(C35+C36)
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   |
|---:|:----|:--------------------------------|:--------------------|:----|
| 43 |     |                                 |                     |     |
| 44 |     | (VIG-VEN)/R1 = VEN/R2 + IC      |                     |     |
| 45 |     | VIG-VEN = (R1/R2)*VEN + IC*R1   |                     |     |
| 46 |     | VIG - IC*R1  = (R1+R2)/R2 * VEN |                     |     |
| 47 |     | VEN = R2/(R1+R2)(VIG-IC*R1)     |                     |     |
| 48 |     |                                 |                     |     |
| 49 |     | R2/(R1+R2)                      | 0.15151515151515152 |     |
| 50 |     | IC*R1                           | 8.4                 | V   |
| 51 |     | VIG                             | 32                  |     |
| 52 |     | VEN(>5.8V)                      | 3.58                | V   |
| 53 |     | VEN(<5.8V)                      | [Target Cell]       | V   |
| 54 |     | VEN                             | 4.85                | V   |



min_row: 43
max_row: 54
min_col: 1
max_col: 4
target_cell_row_idx: 53
target_cell_col_idx: 3
target_cell_value: 4.85
formula: =ROUND(C51*C49,2)
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   |
|---:|:----|:--------------------------------|:--------------------|:----|
| 44 |     | (VIG-VEN)/R1 = VEN/R2 + IC      |                     |     |
| 45 |     | VIG-VEN = (R1/R2)*VEN + IC*R1   |                     |     |
| 46 |     | VIG - IC*R1  = (R1+R2)/R2 * VEN |                     |     |
| 47 |     | VEN = R2/(R1+R2)(VIG-IC*R1)     |                     |     |
| 48 |     |                                 |                     |     |
| 49 |     | R2/(R1+R2)                      | 0.15151515151515152 |     |
| 50 |     | IC*R1                           | 8.4                 | V   |
| 51 |     | VIG                             | 32                  |     |
| 52 |     | VEN(>5.8V)                      | 3.58                | V   |
| 53 |     | VEN(<5.8V)                      | 4.85                | V   |
| 54 |     | VEN                             | [Target Cell]       | V   |



min_row: 44
max_row: 54
min_col: 1
max_col: 4
target_cell_row_idx: 54
target_cell_col_idx: 3
target_cell_value: 4.85
formula: =IF(C53>5.8,C52,C53)
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 |  47 | 6976 | 0.383203 | [Target Cell] |       | 218 |
|  2 |  46 | 7008 | 0.384961 |               | 32.0  | 219 |
|  3 |  45 | 6912 | 0.379688 |               | -96.0 | 216 |
|  4 |  44 | 6976 | 0.383203 |               | 64.0  | 218 |
|  5 |  43 | 6912 | 0.379688 |               | -64.0 | 216 |
|  6 |  42 | 6912 | 0.379688 |               | 0.0   | 216 |
|  7 |  41 | 7072 | 0.388477 |               | 160.0 | 221 |
|  8 |  40 | 7040 | 0.386719 |               | -32.0 | 220 |
|  9 |  39 | 7072 | 0.388477 |               | 32.0  | 221 |
| 10 |  38 | 7040 | 0.386719 |               | -32.0 | 220 |
| 11 |  37 | 7072 | 0.388477 |               | 32.0  | 221 |



min_row: 1
max_row: 11
min_col: 1
max_col: 6
target_cell_row_idx: 1
target_cell_col_idx: 4
target_cell_value: 0.38569335937500004
formula: =AVERAGE(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             |
|---:|----:|-----:|---------:|:--------------------|:------|:--------------|
|  1 |  47 | 6976 | 0.383203 | 0.38569335937500004 |       | [Target Cell] |
|  2 |  46 | 7008 | 0.384961 |                     | 32.0  | 219           |
|  3 |  45 | 6912 | 0.379688 |                     | -96.0 | 216           |
|  4 |  44 | 6976 | 0.383203 |                     | 64.0  | 218           |
|  5 |  43 | 6912 | 0.379688 |                     | -64.0 | 216           |
|  6 |  42 | 6912 | 0.379688 |                     | 0.0   | 216           |
|  7 |  41 | 7072 | 0.388477 |                     | 160.0 | 221           |
|  8 |  40 | 7040 | 0.386719 |                     | -32.0 | 220           |
|  9 |  39 | 7072 | 0.388477 |                     | 32.0  | 221           |
| 10 |  38 | 7040 | 0.386719 |                     | -32.0 | 220           |
| 11 |  37 | 7072 | 0.388477 |                     | 32.0  | 221           |



min_row: 1
max_row: 11
min_col: 1
max_col: 6
target_cell_row_idx: 1
target_cell_col_idx: 6
target_cell_value: 218
formula: =B1/32
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:
|    | H   | I   | J   | K   | L   | M    | N       | O        | P   | Q        | R             | S       | T         | U   | V   |
|---:|:----|:----|:----|:----|:----|:-----|:--------|:---------|:----|:---------|:--------------|:--------|:----------|:----|:----|
| 28 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 29 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 30 |     |     |     |     |     | Vsys |         |          |     |          |               |         |           |     |     |
| 31 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 32 |     |     |     |     |     |      |         | Gate Off |     |          |               | Gate On |           |     |     |
| 33 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 34 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 35 |     |     |     |     |     | R3   | 20000.0 | ohm      | --> | Vov Hys  | 0.42          | V       | from (36) |     |     |
| 36 |     |     |     |     |     | R4   | 2000.0  | ohm      | --> | Vov High | 27.5          | V       | from (37) |     |     |
| 37 |     |     |     |     |     |      |         |          |     |          |               |         |           |     |     |
| 38 |     |     |     |     |     |      |         |          |     | Vov Low  | [Target Cell] | V       |           |     |     |



min_row: 28
max_row: 38
min_col: 8
max_col: 22
target_cell_row_idx: 38
target_cell_col_idx: 18
target_cell_value: 27.08
formula: =R36-R35
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 |  47 | 6976 | 0.383203 | 0.38569335937500004 |               | 218 |
|  2 |  46 | 7008 | 0.384961 |                     | [Target Cell] | 219 |
|  3 |  45 | 6912 | 0.379688 |                     | -96           | 216 |
|  4 |  44 | 6976 | 0.383203 |                     | 64            | 218 |
|  5 |  43 | 6912 | 0.379688 |                     | -64           | 216 |
|  6 |  42 | 6912 | 0.379688 |                     | 0             | 216 |
|  7 |  41 | 7072 | 0.388477 |                     | 160           | 221 |
|  8 |  40 | 7040 | 0.386719 |                     | -32           | 220 |
|  9 |  39 | 7072 | 0.388477 |                     | 32            | 221 |
| 10 |  38 | 7040 | 0.386719 |                     | -32           | 220 |
| 11 |  37 | 7072 | 0.388477 |                     | 32            | 221 |
| 12 |  36 | 6976 | 0.383203 |                     | -96           | 218 |



min_row: 1
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 32
formula: =B2-B1
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 |  47 | 6938 | 0.381116 | [Target Cell] |       |     |
|  2 |  46 | 6938 | 0.381116 |               | 0.0   |     |
|  3 |  45 | 6942 | 0.381335 |               | 4.0   |     |
|  4 |  44 | 6934 | 0.380896 |               | -8.0  |     |
|  5 |  43 | 6936 | 0.381006 |               | 2.0   |     |
|  6 |  42 | 6942 | 0.381335 |               | 6.0   |     |
|  7 |  41 | 6932 | 0.380786 |               | -10.0 |     |
|  8 |  40 | 6946 | 0.381555 |               | 14.0  |     |
|  9 |  39 | 6940 | 0.381226 |               | -6.0  |     |
| 10 |  38 | 6940 | 0.381226 |               | 0.0   |     |
| 11 |  37 | 6936 | 0.381006 |               | -4.0  |     |



min_row: 1
max_row: 11
min_col: 1
max_col: 6
target_cell_row_idx: 1
target_cell_col_idx: 4
target_cell_value: 0.38122329711914055
formula: =AVERAGE(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:
|    |    B |        C | D                   | E    | F   | G   | H   | I   | J   | K                      | L             |
|---:|-----:|---------:|:--------------------|:-----|:----|:----|:----|:----|:----|:-----------------------|:--------------|
|  1 | 6948 | 0.381665 | 0.38155517578125003 |      |     |     |     |     |     | 0.00014359485297873762 | [Target Cell] |
|  2 | 6946 | 0.381555 |                     | -2.0 |     |     |     |     |     |                        |               |
|  3 | 6946 | 0.381555 |                     | 0.0  |     |     |     |     |     |                        |               |
|  4 | 6946 | 0.381555 |                     | 0.0  |     |     |     |     |     |                        |               |
|  5 | 6948 | 0.381665 |                     | 2.0  |     |     |     |     |     |                        |               |
|  6 | 6946 | 0.381555 |                     | -2.0 |     |     |     |     |     |                        |               |
|  7 | 6940 | 0.381226 |                     | -6.0 |     |     |     |     |     |                        |               |
|  8 | 6946 | 0.381555 |                     | 6.0  |     |     |     |     |     |                        |               |
|  9 | 6948 | 0.381665 |                     | 2.0  |     |     |     |     |     |                        |               |
| 10 | 6942 | 0.381335 |                     | -6.0 |     |     |     |     |     |                        |               |
| 11 | 6946 | 0.381555 |                     | 4.0  |     |     |     |     |     |                        |               |



min_row: 1
max_row: 11
min_col: 2
max_col: 12
target_cell_row_idx: 1
target_cell_col_idx: 12
target_cell_value: 0.037634099101059554
formula: =K1/D1*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 |  47 | 6938 | 0.381116 | 0.38122329711914055 |               |     |
|  2 |  46 | 6938 | 0.381116 |                     | [Target Cell] |     |
|  3 |  45 | 6942 | 0.381335 |                     | 4             |     |
|  4 |  44 | 6934 | 0.380896 |                     | -8            |     |
|  5 |  43 | 6936 | 0.381006 |                     | 2             |     |
|  6 |  42 | 6942 | 0.381335 |                     | 6             |     |
|  7 |  41 | 6932 | 0.380786 |                     | -10           |     |
|  8 |  40 | 6946 | 0.381555 |                     | 14            |     |
|  9 |  39 | 6940 | 0.381226 |                     | -6            |     |
| 10 |  38 | 6940 | 0.381226 |                     | 0             |     |
| 11 |  37 | 6936 | 0.381006 |                     | -4            |     |
| 12 |  36 | 6940 | 0.381226 |                     | 4             |     |



min_row: 1
max_row: 12
min_col: 1
max_col: 6
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: 0
formula: =B2-B1
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 | [Target Cell] |      |     |     |     |     |     | 0.00014359485297873762 | 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: 4
target_cell_value: 0.38155517578125003
formula: =AVERAGE(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    |
|---:|:----|:----------|:--------------|:-----|
| 34 |     |           |               |      |
| 35 |     | RefDes    | Value         | Unit |
| 36 |     | RBLKupper | 14.97         | MΩ   |
| 37 |     | RBLKlower | 41.2          | kΩ   |
| 38 |     | RBWupper  | 44.2          | KΩ   |
| 39 |     | RBWlower  | 8.06          | KΩ   |
| 40 |     | CISNS     | 150           | pF   |
| 41 |     | RISNS     | 133           | Ω    |
| 42 |     | CVCRupper | 68            | pF   |
| 43 |     | CVCRlower | 8200          | pF   |
| 44 |     | Lr        | [Target Cell] | uH   |
| 45 |     | Lm        | 622           | uH   |
| 46 |     | Cr        | 0.027         | uF   |
| 47 |     | CSS       | 68            | nF   |
| 48 |     | RLLupper  | 267           | KΩ   |
| 49 |     | RLLlower  | 147           | 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: 100
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                    |
|---:|----:|-----:|---------:|:--------------------|:--------------|:----|:----|:----|:----|:----|:-----------------------|:---------------------|
|  1 |  47 | 6948 | 0.381665 | 0.38155517578125003 |               |     |     |     |     |     | 0.00014359485297873762 | 0.037634099101059554 |
|  2 |  46 | 6946 | 0.381555 |                     | [Target Cell] |     |     |     |     |     |                        |                      |
|  3 |  45 | 6946 | 0.381555 |                     | 0             |     |     |     |     |     |                        |                      |
|  4 |  44 | 6946 | 0.381555 |                     | 0             |     |     |     |     |     |                        |                      |
|  5 |  43 | 6948 | 0.381665 |                     | 2             |     |     |     |     |     |                        |                      |
|  6 |  42 | 6946 | 0.381555 |                     | -2            |     |     |     |     |     |                        |                      |
|  7 |  41 | 6940 | 0.381226 |                     | -6            |     |     |     |     |     |                        |                      |
|  8 |  40 | 6946 | 0.381555 |                     | 6             |     |     |     |     |     |                        |                      |
|  9 |  39 | 6948 | 0.381665 |                     | 2             |     |     |     |     |     |                        |                      |
| 10 |  38 | 6942 | 0.381335 |                     | -6            |     |     |     |     |     |                        |                      |
| 11 |  37 | 6946 | 0.381555 |                     | 4             |     |     |     |     |     |                        |                      |
| 12 |  36 | 6946 | 0.381555 |                     | 0             |     |     |     |     |     |                        |                      |



min_row: 1
max_row: 12
min_col: 1
max_col: 12
target_cell_row_idx: 2
target_cell_col_idx: 5
target_cell_value: -2
formula: =B2-B1
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  | [Target Cell] | 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: 6
target_cell_col_idx: 2
target_cell_value: 0.1
formula: =1/10