MMTU-benchmark/MMTU huggingface dataset:
Task: Formula-prediction-context (source dataset: cisco-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   |
|---:|:-------------------|:----|:------------|:-------|:--------------|:--------------|:-----|:----|
|  1 | Device             | Qty | Watts       | Total  | Grand Total   | UPS           | Time |     |
|  2 | WS-C4510RE-S7+96V+ | 1   | 200         | 200    | 4304          | SUA5000RMI5U  |      |     |
|  3 | WS-X45-SUP7-E/2    | 2   | 280+224     | 504    |               |               |      |     |
|  4 | WS-X4748-RJ45V+E   | 5   | 48*15*5     | 3600   |               |               |      |     |
|  5 | WS-C4510RE-S7+96V+ | 2   | 200+200     | 400    | 5728          | SUA5000RMI5U  |      |     |
|  6 | WS-X45-SUP7-E/2    | 4   | 280*2+224*2 | 1008   |               |               |      |     |
|  7 | WS-X4748-RJ45V+E   | 6   | 48*15*6     | 4320   |               |               |      |     |
|  8 | WS-C4510RE-S7+96V+ | 1   | 200         | 200    | [Target Cell] | SUA5000RMI5U  |      |     |
|  9 | WS-X45-SUP7-E/2    | 2   | 280+224     | 504    |               |               |      |     |
| 10 | WS-X4748-RJ45V+E   | 7   | 48*15*7     | 5040   |               |               |      |     |
| 11 | WS-C4510RE-S7+96V+ | 1   | 200         | 200    | 5024          | SUA5000RMI5U  |      |     |
| 12 | WS-X45-SUP7-E/2    | 2   | 280+224     | 504    |               |               |      |     |
| 13 | WS-X4748-RJ45V+E   | 6   | 48*15*6     | 4320   |               |               |      |     |
| 14 |                    |     |             |        |               |               |      |     |
| 15 | WS-C6509-E         | 1   | 150.36      | 150.36 | 7532.18       | SUA10000RMI5U |      |     |
| 16 | VS-S720-10G-3C     | 2   | 338.1       | 676.2  |               |               |      |     |
| 17 | VS-F6K-PFC3C       | 2   | 79.8        | 159.6  |               |               |      |     |
| 18 | WS-X6748-GE-TX     | 1   | 294         | 294    |               |               |      |     |



min_row: 1
max_row: 18
min_col: 1
max_col: 8
target_cell_row_idx: 8
target_cell_col_idx: 5
target_cell_value: 5744
formula: =D8+D9+D10
Task: Formula-prediction-context (source dataset: cisco-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   |
|---:|----:|:--------------|----:|----:|:----|:----|:----|:----|:----|:----|:----|:----|
| 10 |  16 | 4             |   0 |   0 |     |     |     |     |     |     |     |     |
| 11 |  16 | 4             | 128 |   0 |     |     |     |     |     |     |     |     |
| 12 |  16 | 5             |   0 |   0 |     |     |     |     |     |     |     |     |
| 13 |  16 | 5             | 128 |   0 |     |     |     |     |     |     |     |     |
| 14 |  16 | 6             |   0 |   0 |     |     |     |     |     |     |     |     |
| 15 |  16 | 6             | 128 |   0 |     |     |     |     |     |     |     |     |
| 16 |  16 | 7             |   0 |   0 |     |     |     |     |     |     |     |     |
| 17 |  16 | 7             | 128 |   0 |     |     |     |     |     |     |     |     |
| 18 |  16 | 8             |   0 |   0 |     |     |     |     |     |     |     |     |
| 19 |  16 | 8             | 128 |   0 |     |     |     |     |     |     |     |     |
| 20 |  16 | [Target Cell] |   0 |   0 |     |     |     |     |     |     |     |     |
| 21 |  16 | 9             | 128 |   0 |     |     |     |     |     |     |     |     |
| 22 |  16 | 10            |   0 |   0 |     |     |     |     |     |     |     |     |
| 23 |  16 | 10            | 128 |   0 |     |     |     |     |     |     |     |     |
| 24 |  16 | 11            |   0 |   0 |     |     |     |     |     |     |     |     |
| 25 |  16 | 11            | 128 |   0 |     |     |     |     |     |     |     |     |
| 26 |  16 | 12            |   0 |   0 |     |     |     |     |     |     |     |     |
| 27 |  16 | 12            | 128 |   0 |     |     |     |     |     |     |     |     |
| 28 |  16 | 13            |   0 |   0 |     |     |     |     |     |     |     |     |
| 29 |  16 | 13            | 128 |   0 |     |     |     |     |     |     |     |     |
| 30 |  16 | 14            |   0 |   0 |     |     |     |     |     |     |     |     |



min_row: 10
max_row: 30
min_col: 1
max_col: 12
target_cell_row_idx: 20
target_cell_col_idx: 2
target_cell_value: 9
formula: =B18+1
Task: Formula-prediction-context (source dataset: cisco-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A          | B             |
|---:|:-----------|:--------------|
|  1 | Switch     | 117           |
|  2 | Router     | 558           |
|  3 | WLAN       | 30            |
|  4 | RF         | 208           |
|  5 | Security   | 209           |
|  6 | Coll       | 198           |
|  7 | Cisco One  | 35            |
|  8 | MDS        | 2             |
|  9 | Total SKUs | [Target Cell] |



min_row: 1
max_row: 9
min_col: 1
max_col: 2
target_cell_row_idx: 9
target_cell_col_idx: 2
target_cell_value: 1357
formula: =SUM(B1:B8)
Task: Formula-prediction-context (source dataset: cisco-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 | *** This sheet to remain hidden. *** |     |                   |       |               |
|  2 |                                      |     |                   |       |               |
|  3 |                                      |     |                   |       |               |
|  4 |                                      |     |                   |       |               |
|  5 |                                      |     |                   |       |               |
|  6 |                                      |     |                   | Value | Padding       |
|  7 |                                      |     |                   |       |               |
|  8 |                                      |     | Total Assets      | #REF! | [Target Cell] |
|  9 |                                      |     |                   |       |               |
| 10 |                                      |     |                   |       |               |
| 11 |                                      |     | Total Liabilities | #REF! | #REF!         |
| 12 |                                      |     |                   |       |               |
| 13 |                                      |     |                   |       |               |
| 14 |                                      |     |                   |       |               |
| 15 |                                      |     |                   |       |               |
| 16 |                                      |     |                   |       |               |
| 17 |                                      |     |                   |       |               |
| 18 |                                      |     | Max               | #REF! |               |



min_row: 1
max_row: 18
min_col: 1
max_col: 5
target_cell_row_idx: 8
target_cell_col_idx: 5
target_cell_value: #REF!
formula: =PadReference-TotalAssets
Task: Formula-prediction-context (source dataset: cisco-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A   | B   | C                 | D             | E     |
|---:|:----|:----|:------------------|:--------------|:------|
|  8 |     |     | Total Assets      | #REF!         | #REF! |
|  9 |     |     |                   |               |       |
| 10 |     |     |                   |               |       |
| 11 |     |     | Total Liabilities | #REF!         | #REF! |
| 12 |     |     |                   |               |       |
| 13 |     |     |                   |               |       |
| 14 |     |     |                   |               |       |
| 15 |     |     |                   |               |       |
| 16 |     |     |                   |               |       |
| 17 |     |     |                   |               |       |
| 18 |     |     | Max               | [Target Cell] |       |
| 19 |     |     | Pad Factor        | 0.08          |       |
| 20 |     |     | Pad Reference     | #REF!         |       |



min_row: 8
max_row: 20
min_col: 1
max_col: 5
target_cell_row_idx: 18
target_cell_col_idx: 4
target_cell_value: #REF!
formula: =MAX(TotalAssets,TotalLiabilities)
Task: Formula-prediction-context (source dataset: cisco-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   |
|---:|:------------|:-------------------------------------------------------------|:----------------------|:--------------|:-------|:-----------------|:------|:----|:-----|:----|:----|:----|:----|:----|
|  1 | Source Data |                                                              |                       |               |        |                  |       |     |      |     |     |     |     |     |
|  2 |             |                                                              |                       |               |        |                  |       |     |      |     |     |     |     |     |
|  3 |             |                                                              |                       |               |        |                  |       |     |      |     |     |     |     |     |
|  4 | Comment     | Full Hierarchy                                               | Customer Hierarchy    | Customer ID   | UCM IP | Site Name        | GW IP | Cu  | Si   |     |     |     |     |     |
|  5 |             | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Oregon.OR_Roseburg_9157  | hcs.USDA-SP.CTS.SCA-W | [Target Cell] |        | OR_Roseburg_9157 |       | 4   | 1266 |     |     |     |     |     |
|  6 | #           | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Nebraska.NE_Lincoln_5344 | hcs.USDA-SP.CTS.SCA-W | 43            |        | NE_Lincoln_5344  |       | 4   | 21   |     |     |     |     |     |



min_row: 1
max_row: 6
min_col: 1
max_col: 14
target_cell_row_idx: 5
target_cell_col_idx: 4
target_cell_value: 43
formula: =IF(RIGHT(C5,5)="SCA-E","45","43")
Task: Formula-prediction-context (source dataset: cisco-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 | Source Data |                                                              |                       |             |        |                 |       |     |      |     |     |     |     |     |     |     |
|  2 |             |                                                              |                       |             |        |                 |       |     |      |     |     |     |     |     |     |     |
|  3 |             |                                                              |                       |             |        |                 |       |     |      |     |     |     |     |     |     |     |
|  4 | Comment     | Full Hierarchy                                               | Customer Hierarchy    | Customer ID | UCM IP | Site Name       | GW IP | Cu  | Si   |     |     |     |     |     |     |     |
|  5 |             | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Oregon.OR_Roseburg_9157  | hcs.USDA-SP.CTS.SCA-W | 43          |        | [Target Cell]   |       | 4   | 1266 |     |     |     |     |     |     |     |
|  6 | #           | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Nebraska.NE_Lincoln_5344 | hcs.USDA-SP.CTS.SCA-W | 43          |        | NE_Lincoln_5344 |       | 4   | 21   |     |     |     |     |     |     |     |



min_row: 1
max_row: 6
min_col: 1
max_col: 16
target_cell_row_idx: 5
target_cell_col_idx: 6
target_cell_value: OR_Roseburg_9157
formula: =MID(B5,LEN(LEFT(B5,FIND("_",B5)-2)),LEN(LEFT(B5,FIND("_",B5)-2)))
Task: Formula-prediction-context (source dataset: cisco-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   | Q   |
|---:|:------------|:-------------------------------------------------------------|:----------------------|:------------|:-------|:-----------------|:------|:--------------|:-----|:----|:----|:----|:----|:----|:----|:----|:----|
|  1 | Source Data |                                                              |                       |             |        |                  |       |               |      |     |     |     |     |     |     |     |     |
|  2 |             |                                                              |                       |             |        |                  |       |               |      |     |     |     |     |     |     |     |     |
|  3 |             |                                                              |                       |             |        |                  |       |               |      |     |     |     |     |     |     |     |     |
|  4 | Comment     | Full Hierarchy                                               | Customer Hierarchy    | Customer ID | UCM IP | Site Name        | GW IP | Cu            | Si   |     |     |     |     |     |     |     |     |
|  5 |             | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Oregon.OR_Roseburg_9157  | hcs.USDA-SP.CTS.SCA-W | 43          |        | OR_Roseburg_9157 |       | [Target Cell] | 1266 |     |     |     |     |     |     |     |     |
|  6 | #           | sys.hcs.USDA-SP.CTS.SCA-W.NW Region.Nebraska.NE_Lincoln_5344 | hcs.USDA-SP.CTS.SCA-W | 43          |        | NE_Lincoln_5344  |       | 4             | 21   |     |     |     |     |     |     |     |     |



min_row: 1
max_row: 6
min_col: 1
max_col: 17
target_cell_row_idx: 5
target_cell_col_idx: 8
target_cell_value: 4
formula: =IF(RIGHT(C5,5)="SCA-E","3","4")
Task: Formula-prediction-context (source dataset: cisco-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:
|    | C   | D                                                          | E   | F           | G       | H   | I   | J   |   K |   L | M             |   N |
|---:|:----|:-----------------------------------------------------------|:----|:------------|:--------|:----|:----|:----|----:|----:|:--------------|----:|
|  1 |     | Unified Workspace Licensing - Top Level for PRO            |     | N/A         | 14 days |     | No  | N/A |   1 |   0 | [Target Cell] |   0 |
|  2 |     | ESSENTIAL SW Unified Workspace Li                          |     | 12 month(s) | N/A     |     | No  | N/A |   1 |   0 | 0             |   0 |
|  3 |     | WebEx Social On-Premise Option                             |     | N/A         | 21 days |     | No  | N/A |   1 |   0 | 0             |   0 |
|  4 |     | Included CUCM IM and Presence for on-premise use           |     | N/A         | 14 days |     | No  | N/A |   1 |   0 | 0             |   0 |
|  5 |     | Jabber for Everyone Additional IM Users                    |     | N/A         | 21 days |     | No  | N/A | 300 |   0 | 0             |   0 |
|  6 |     | New CUWL Professional Edition User 1 User                  |     | N/A         | 14 days |     | No  | N/A | 300 | 500 | 150000        |   0 |
|  7 |     | Incl Meeting Center Ports - 1 WebEx Port per 10 CUWL Users |     | N/A         | 7 days  |     | No  | N/A |   1 |   0 | 0             |   0 |
|  8 |     | Version 9.0 Software Kit                                   |     | N/A         | 14 days |     | No  | N/A |   1 |   0 | 0             |   0 |
|  9 |     | CCX 9.0 NEW STANDARD for UWL                               |     | N/A         | 14 days |     | Yes | N/A |   1 |   0 | 0             |   0 |
| 10 |     | CCX 9.0 STD Seat Qty 1 (agent or supervisor) for UWL       |     | N/A         | 14 days |     | Yes | N/A |  12 |   0 | 0             |   0 |
| 11 |     | IME 9.0 Media Kit                                          |     | N/A         | 14 days |     | Yes | N/A |   1 |   0 | 0             |   0 |



min_row: 1
max_row: 11
min_col: 3
max_col: 14
target_cell_row_idx: 1
target_cell_col_idx: 13
target_cell_value: 0
formula: =IF(ISNUMBER(K1),IF(ISNUMBER(L1),L1*K1,"--"),"--")
Task: Formula-prediction-context (source dataset: cisco-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:
|    | J    | K        | L    | M        | N    | O        | P          |    Q | R        | S        | T             |
|---:|:-----|:---------|:-----|:---------|:-----|:---------|:-----------|-----:|:---------|:---------|:--------------|
| 10 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 |          |          | 00:20:48      |
| 11 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | 01:14:55      |
| 12 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 | 10:05:02 | 10:15:05 | 00:10:03      |
| 13 |      |          |      |          |      |          | 2nd level  | 0000 | 11:15:00 | 12:00:00 | 00:45:00      |
| 14 |      |          |      |          |      |          | Break      | 0000 | 13:00:00 | 13:05:00 | 00:05:00      |
| 15 |      |          |      |          |      |          | Break      | 0000 | 14:30:00 | 14:30:45 | 00:00:45      |
| 16 |      |          |      |          |      |          | Break      | 0000 | 14:45:00 | 14:50:00 | 00:05:00      |
| 17 |      |          |      |          |      |          | Discussion | 0000 | 15:00:05 | 15:15:00 | 00:14:55      |
| 18 |      |          |      |          |      |          | 2nd level  | 0000 | 15:30:00 | 15:45:00 | 00:15:00      |
| 19 |      |          |      |          |      |          | One to One | 0000 | 15:47:00 | 15:50:00 | 00:03:00      |
| 20 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 |          |          | [Target Cell] |
| 21 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | 01:00:00      |
| 22 |      |          |      |          |      |          | Discussion | 0000 |          |          | 00:14:55      |
| 23 |      |          |      |          |      |          | One to One | 0000 |          |          | 00:03:00      |



min_row: 10
max_row: 23
min_col: 10
max_col: 20
target_cell_row_idx: 20
target_cell_col_idx: 20
target_cell_value: 00:20:48
formula: =T12+T14+T15+T16
Task: Formula-prediction-context (source dataset: cisco-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:
|    | J    | K        | L    | M        | N    | O        | P          |    Q | R        | S        | T             |
|---:|:-----|:---------|:-----|:---------|:-----|:---------|:-----------|-----:|:---------|:---------|:--------------|
| 11 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | 01:14:55      |
| 12 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 | 10:05:02 | 10:15:05 | 00:10:03      |
| 13 |      |          |      |          |      |          | 2nd level  | 0000 | 11:15:00 | 12:00:00 | 00:45:00      |
| 14 |      |          |      |          |      |          | Break      | 0000 | 13:00:00 | 13:05:00 | 00:05:00      |
| 15 |      |          |      |          |      |          | Break      | 0000 | 14:30:00 | 14:30:45 | 00:00:45      |
| 16 |      |          |      |          |      |          | Break      | 0000 | 14:45:00 | 14:50:00 | 00:05:00      |
| 17 |      |          |      |          |      |          | Discussion | 0000 | 15:00:05 | 15:15:00 | 00:14:55      |
| 18 |      |          |      |          |      |          | 2nd level  | 0000 | 15:30:00 | 15:45:00 | 00:15:00      |
| 19 |      |          |      |          |      |          | One to One | 0000 | 15:47:00 | 15:50:00 | 00:03:00      |
| 20 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 |          |          | 00:20:48      |
| 21 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | [Target Cell] |
| 22 |      |          |      |          |      |          | Discussion | 0000 |          |          | 00:14:55      |
| 23 |      |          |      |          |      |          | One to One | 0000 |          |          | 00:03:00      |



min_row: 11
max_row: 23
min_col: 10
max_col: 20
target_cell_row_idx: 21
target_cell_col_idx: 20
target_cell_value: 01:00:00
formula: =T13+T18
Task: Formula-prediction-context (source dataset: cisco-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:
|    | J    | K        | L    | M        | N    | O        | P          |    Q | R        | S        | T             |
|---:|:-----|:---------|:-----|:---------|:-----|:---------|:-----------|-----:|:---------|:---------|:--------------|
| 12 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 | 10:05:02 | 10:15:05 | 00:10:03      |
| 13 |      |          |      |          |      |          | 2nd level  | 0000 | 11:15:00 | 12:00:00 | 00:45:00      |
| 14 |      |          |      |          |      |          | Break      | 0000 | 13:00:00 | 13:05:00 | 00:05:00      |
| 15 |      |          |      |          |      |          | Break      | 0000 | 14:30:00 | 14:30:45 | 00:00:45      |
| 16 |      |          |      |          |      |          | Break      | 0000 | 14:45:00 | 14:50:00 | 00:05:00      |
| 17 |      |          |      |          |      |          | Discussion | 0000 | 15:00:05 | 15:15:00 | 00:14:55      |
| 18 |      |          |      |          |      |          | 2nd level  | 0000 | 15:30:00 | 15:45:00 | 00:15:00      |
| 19 |      |          |      |          |      |          | One to One | 0000 | 15:47:00 | 15:50:00 | 00:03:00      |
| 20 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 |          |          | 00:20:48      |
| 21 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | 01:00:00      |
| 22 |      |          |      |          |      |          | Discussion | 0000 |          |          | [Target Cell] |
| 23 |      |          |      |          |      |          | One to One | 0000 |          |          | 00:03:00      |



min_row: 12
max_row: 23
min_col: 10
max_col: 20
target_cell_row_idx: 22
target_cell_col_idx: 20
target_cell_value: 00:14:55
formula: =T17
Task: Formula-prediction-context (source dataset: cisco-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:
|    | J    | K        | L    | M        | N    | O        | P          |    Q | R        | S        | T             |
|---:|:-----|:---------|:-----|:---------|:-----|:---------|:-----------|-----:|:---------|:---------|:--------------|
| 13 |      |          |      |          |      |          | 2nd level  | 0000 | 11:15:00 | 12:00:00 | 00:45:00      |
| 14 |      |          |      |          |      |          | Break      | 0000 | 13:00:00 | 13:05:00 | 00:05:00      |
| 15 |      |          |      |          |      |          | Break      | 0000 | 14:30:00 | 14:30:45 | 00:00:45      |
| 16 |      |          |      |          |      |          | Break      | 0000 | 14:45:00 | 14:50:00 | 00:05:00      |
| 17 |      |          |      |          |      |          | Discussion | 0000 | 15:00:05 | 15:15:00 | 00:14:55      |
| 18 |      |          |      |          |      |          | 2nd level  | 0000 | 15:30:00 | 15:45:00 | 00:15:00      |
| 19 |      |          |      |          |      |          | One to One | 0000 | 15:47:00 | 15:50:00 | 00:03:00      |
| 20 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | 85.0 | 00:07:00 | Break      | 0000 |          |          | 00:20:48      |
| 21 |      |          |      |          |      |          | 2nd level  | 0000 |          |          | 01:00:00      |
| 22 |      |          |      |          |      |          | Discussion | 0000 |          |          | 00:14:55      |
| 23 |      |          |      |          |      |          | One to One | 0000 |          |          | [Target Cell] |



min_row: 13
max_row: 23
min_col: 10
max_col: 20
target_cell_row_idx: 23
target_cell_col_idx: 20
target_cell_value: 00:03:00
formula: =T19
Task: Formula-prediction-context (source dataset: cisco-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       |
|----:|:---------|:----|:----|:--------------|:------|:-------|:--------|
| 280 | 23:11:00 |     |     | 0             |       |        |         |
| 281 | 23:16:00 |     |     | 0             |       |        |         |
| 282 | 23:21:00 |     |     | 0             |       |        |         |
| 283 | 23:26:00 |     |     | 0             |       |        |         |
| 284 | 23:31:00 |     |     | 0             |       |        |         |
| 285 | 23:36:00 |     |     | 0             |       |        |         |
| 286 | 23:41:00 |     |     | 0             |       |        |         |
| 287 | 23:46:00 |     |     | 0             |       |        |         |
| 288 | 23:51:00 |     |     | 0             |       |        |         |
| 289 | 23:56:00 |     |     | 0             |       |        |         |
| 290 |          |     |     | [Target Cell] | 100   | 0      | 60.5    |
| 291 |          |     |     |               | Daily | Weekly | Monthly |



min_row: 280
max_row: 291
min_col: 1
max_col: 7
target_cell_row_idx: 290
target_cell_col_idx: 4
target_cell_value: 201.5
formula: =SUM(D2:D289)
Task: Formula-prediction-context (source dataset: cisco-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                                                  | B               | C             |         D | E      |         F | G   |
|---:|:---------------------------------------------------|:----------------|:--------------|----------:|:-------|----------:|:----|
|  1 | cdx01as38#sh spanning-tree vlan 1 detail | in sent |                 |               | 570906520 |        | 403483675 | 1.0 |
|  2 | BPDU: sent 22032132                                | received 8457   | [Target Cell] |  22032132 | 8457   |      8457 |     |
|  3 | BPDU: sent 713308                                  | received 17     | 713308        |    713308 | 17     |        17 |     |
|  4 | BPDU: sent 570877636                               | received 0      | 570877636     | 570877636 | 0      |         0 |     |
|  5 | BPDU: sent 15945149                                | received 0      | 15945149      |  15945149 | 0      |         0 |     |
|  6 | BPDU: sent 152148457                               | received 0      | 152148457     | 152148457 | 0      |         0 |     |
|  7 | BPDU: sent 22035383                                | received 109    | 22035383      |  22035383 | 109    |       109 |     |
|  8 | BPDU: sent 21771881                                | received 675865 | 21771881      |  21771881 | 675865 |    675865 |     |
|  9 | BPDU: sent 22032951                                | received 4865   | 22032951      |  22032951 | 4865   |      4865 |     |
| 10 | BPDU: sent 22035360                                | received 2      | 22035360      |  22035360 | 2      |         2 |     |
| 11 | BPDU: sent 22031357                                | received 8812   | 22031357      |  22031357 | 8812   |      8812 |     |
| 12 | BPDU: sent 22035364                                | received 3      | 22035364      |  22035364 | 3      |         3 |     |



min_row: 1
max_row: 12
min_col: 1
max_col: 7
target_cell_row_idx: 2
target_cell_col_idx: 3
target_cell_value: 22032132
formula: =MID(A2,15,16)
Task: Formula-prediction-context (source dataset: cisco-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                                                  | B               | C         | D             | E      |         F | G   |
|---:|:---------------------------------------------------|:----------------|:----------|:--------------|:-------|----------:|:----|
|  1 | cdx01as38#sh spanning-tree vlan 1 detail | in sent |                 |           | [Target Cell] |        | 403483675 | 1.0 |
|  2 | BPDU: sent 22032132                                | received 8457   | 22032132  | 22032132      | 8457   |      8457 |     |
|  3 | BPDU: sent 713308                                  | received 17     | 713308    | 713308        | 17     |        17 |     |
|  4 | BPDU: sent 570877636                               | received 0      | 570877636 | 570877636     | 0      |         0 |     |
|  5 | BPDU: sent 15945149                                | received 0      | 15945149  | 15945149      | 0      |         0 |     |
|  6 | BPDU: sent 152148457                               | received 0      | 152148457 | 152148457     | 0      |         0 |     |
|  7 | BPDU: sent 22035383                                | received 109    | 22035383  | 22035383      | 109    |       109 |     |
|  8 | BPDU: sent 21771881                                | received 675865 | 21771881  | 21771881      | 675865 |    675865 |     |
|  9 | BPDU: sent 22032951                                | received 4865   | 22032951  | 22032951      | 4865   |      4865 |     |
| 10 | BPDU: sent 22035360                                | received 2      | 22035360  | 22035360      | 2      |         2 |     |
| 11 | BPDU: sent 22031357                                | received 8812   | 22031357  | 22031357      | 8812   |      8812 |     |



min_row: 1
max_row: 11
min_col: 1
max_col: 7
target_cell_row_idx: 1
target_cell_col_idx: 4
target_cell_value: 570906520
formula: =MAX(D2:D6587)
Task: Formula-prediction-context (source dataset: cisco-random)

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

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

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

Input Excel Snippet in Markdown format:
|    | A                                                  | B               | C         |         D | E      | F             | G   |
|---:|:---------------------------------------------------|:----------------|:----------|----------:|:-------|:--------------|:----|
|  1 | cdx01as38#sh spanning-tree vlan 1 detail | in sent |                 |           | 570906520 |        | [Target Cell] | 1.0 |
|  2 | BPDU: sent 22032132                                | received 8457   | 22032132  |  22032132 | 8457   | 8457          |     |
|  3 | BPDU: sent 713308                                  | received 17     | 713308    |    713308 | 17     | 17            |     |
|  4 | BPDU: sent 570877636                               | received 0      | 570877636 | 570877636 | 0      | 0             |     |
|  5 | BPDU: sent 15945149                                | received 0      | 15945149  |  15945149 | 0      | 0             |     |
|  6 | BPDU: sent 152148457                               | received 0      | 152148457 | 152148457 | 0      | 0             |     |
|  7 | BPDU: sent 22035383                                | received 109    | 22035383  |  22035383 | 109    | 109           |     |
|  8 | BPDU: sent 21771881                                | received 675865 | 21771881  |  21771881 | 675865 | 675865        |     |
|  9 | BPDU: sent 22032951                                | received 4865   | 22032951  |  22032951 | 4865   | 4865          |     |
| 10 | BPDU: sent 22035360                                | received 2      | 22035360  |  22035360 | 2      | 2             |     |
| 11 | BPDU: sent 22031357                                | received 8812   | 22031357  |  22031357 | 8812   | 8812          |     |



min_row: 1
max_row: 11
min_col: 1
max_col: 7
target_cell_row_idx: 1
target_cell_col_idx: 6
target_cell_value: 403483675
formula: =MAX(F2:F6587)