id stringlengths 8 8 | category stringclasses 8
values | subcategory stringclasses 9
values | difficulty stringclasses 3
values | question stringlengths 54 376 | solution stringlengths 53 584 | tags stringclasses 9
values |
|---|---|---|---|---|---|---|
arb_0101 | tool_use | selection | medium | Available tools: code_interpreter, browser, calendar, database_query.
User goal: send a meeting invitation for tomorrow at 10am.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: calendar
Approximate call: calendar(title="Meeting", time="tomorrow 10:00")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0102 | commonsense_reasoning | everyday | easy | A yellow rabbit is observed in the lobby. Is it more likely that the rabbit lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about rabbits. | Most rabbits do not permanently live in a lobby (which is a human-built environment). It is therefore more likely that the rabbit is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0103 | agentic_planning | long_horizon | hard | You are a long-horizon agent. Your ultimate goal is to prepare a weekly status report for Jamie. Sub-goals: (1) collect metrics from three different systems, (2) analyze trends, (3) draft the report, (4) request review, (5) publish. Describe how you would decompose this into an executable plan, including which tools yo... | Decomposition:
1. Metrics collection: call database_query / terminal / API tools for each system; store results in files.
2. Analysis: use code_interpreter to compute trends, averages, anomalies.
3. Draft: generate structured text (markdown) from analysis results.
4. Review: send via email_client or create a review tic... | long-horizon,decomposition,agent,robustness |
arb_0104 | commonsense_reasoning | everyday | easy | A green rabbit is observed in the warehouse. Is it more likely that the rabbit lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about rabbits. | Most rabbits do not permanently live in a warehouse (which is a human-built environment). It is therefore more likely that the rabbit is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0105 | agentic_planning | multi_step | hard | You are an agent assisting Taylor. Goal: retrieve the notebook from the meeting room and deliver it to the warehouse. Available tools include browser and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use browser or file_system to locate the current position of the notebook (confirm it is in meeting room).
2. Navigate or request access to the meeting room.
3. Pick up / retrieve the notebook.
4. Verify possession of the notebook (success check).
5. Navigate to the warehouse.
6. Deliver / place the notebook in the ... | planning,agent,multi-step,recovery |
arb_0106 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0107 | agentic_planning | multi_step | hard | You are an agent assisting Morgan. Goal: retrieve the umbrella from the lab and deliver it to the meeting room. Available tools include calendar and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use calendar or file_system to locate the current position of the umbrella (confirm it is in lab).
2. Navigate or request access to the lab.
3. Pick up / retrieve the umbrella.
4. Verify possession of the umbrella (success check).
5. Navigate to the meeting room.
6. Deliver / place the umbrella in the meeting room a... | planning,agent,multi-step,recovery |
arb_0108 | mathematical_reasoning | arithmetic | easy | Compute (2 * 14) + 31. Explain the order of operations. | Multiplication first: 2 * 14 = 28
Then addition: 28 + 31 = 59
Final answer: 59 | math,arithmetic,step-by-step |
arb_0109 | code_reasoning | debugging | easy | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0110 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0111 | tool_use | selection | medium | Available tools: terminal, calendar, database_query.
User goal: check disk usage on /var.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: terminal
Approximate call: terminal(command="df -h /var")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0112 | agentic_planning | multi_step | hard | You are an agent assisting Avery. Goal: retrieve the notebook from the garage and deliver it to the lab. Available tools include calendar and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use calendar or file_system to locate the current position of the notebook (confirm it is in garage).
2. Navigate or request access to the garage.
3. Pick up / retrieve the notebook.
4. Verify possession of the notebook (success check).
5. Navigate to the lab.
6. Deliver / place the notebook in the lab and confirm d... | planning,agent,multi-step,recovery |
arb_0113 | agentic_planning | multi_step | hard | You are an agent assisting Quinn. Goal: retrieve the key from the garage and deliver it to the bedroom. Available tools include database_query and file_system. Provide a numbered step-by-step plan with at least 3 steps. Include checks for success and recovery actions. | 1. Use database_query or file_system to locate the current position of the key (confirm it is in garage).
2. Navigate or request access to the garage.
3. Pick up / retrieve the key.
4. Verify possession of the key (success check).
5. Navigate to the bedroom.
6. Deliver / place the key in the bedroom and confirm deliver... | planning,agent,multi-step,recovery |
arb_0114 | logical_reasoning | deduction | easy | If someone owns a laptop, then they have access to the garage. Casey owns a laptop. What can we conclude about Casey? | We can conclude that Casey has access to the garage, by modus ponens. | deduction,syllogism,logic |
arb_0115 | agentic_planning | multi_step | hard | You are an agent assisting Casey. Goal: retrieve the umbrella from the lab and deliver it to the warehouse. Available tools include terminal and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use terminal or file_system to locate the current position of the umbrella (confirm it is in lab).
2. Navigate or request access to the lab.
3. Pick up / retrieve the umbrella.
4. Verify possession of the umbrella (success check).
5. Navigate to the warehouse.
6. Deliver / place the umbrella in the warehouse and con... | planning,agent,multi-step,recovery |
arb_0116 | agentic_planning | multi_step | hard | You are an agent assisting Cameron. Goal: retrieve the notebook from the bedroom and deliver it to the meeting room. Available tools include browser and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use browser or file_system to locate the current position of the notebook (confirm it is in bedroom).
2. Navigate or request access to the bedroom.
3. Pick up / retrieve the notebook.
4. Verify possession of the notebook (success check).
5. Navigate to the meeting room.
6. Deliver / place the notebook in the meeting... | planning,agent,multi-step,recovery |
arb_0117 | mathematical_reasoning | arithmetic | easy | Compute (29 * 48) + 18. Explain the order of operations. | Multiplication first: 29 * 48 = 1392
Then addition: 1392 + 18 = 1410
Final answer: 1410 | math,arithmetic,step-by-step |
arb_0118 | tool_use | selection | medium | Available tools: browser, email_client, file_system.
User goal: calculate the factorial of 12.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: browser
Approximate call: browser(code="import math; print(math.factorial(12))")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0119 | mathematical_reasoning | arithmetic | easy | Start with 49. Subtract 46. Then add 29. What is the final value? Show all steps. | Step 1: 49 - 46 = 3
Step 2: 3 + 29 = 32
Final answer: 32 | math,arithmetic,step-by-step |
arb_0120 | tool_use | selection | easy | Available tools: code_interpreter, database_query, browser.
User goal: restart the nginx service.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: code_interpreter
Approximate call: code_interpreter(appropriate_arguments)
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0121 | logical_reasoning | deduction | medium | Either Avery or Alex took the umbrella, but not both. Avery did not take the umbrella. Who took it? | Alex took the umbrella. This follows from the exclusive disjunction and the negation of one disjunct. | deduction,syllogism,logic |
arb_0122 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0123 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0124 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0125 | agentic_planning | multi_step | hard | You are an agent assisting Alex. Goal: retrieve the badge from the server room and deliver it to the meeting room. Available tools include file_system and file_system. Provide a numbered step-by-step plan with at least 3 steps. Include checks for success and recovery actions. | 1. Use file_system or file_system to locate the current position of the badge (confirm it is in server room).
2. Navigate or request access to the server room.
3. Pick up / retrieve the badge.
4. Verify possession of the badge (success check).
5. Navigate to the meeting room.
6. Deliver / place the badge in the meeting... | planning,agent,multi-step,recovery |
arb_0126 | causal_reasoning | diagnosis | medium | Observed effect: service downtime. Possible causes include network failure and others. What evidence would support or refute that network failure is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'network failure': temporal correlation (cause preceded effect), presence of characteristic symptoms of network failure, absence of alternative explanations.
Refuting evidence: the effect occurred without network failure, or the effect is fully explained by another cause.
Diagnostic plan:
1. Che... | causal,diagnosis,agentic |
arb_0127 | commonsense_reasoning | everyday | easy | A blue wolf is observed in the server room. Is it more likely that the wolf lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about wolfs. | Most wolfs do not permanently live in a server room (which is a human-built environment). It is therefore more likely that the wolf is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0128 | causal_reasoning | diagnosis | hard | Observed effect: data loss. Possible causes include rain and others. What evidence would support or refute that rain is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'rain': temporal correlation (cause preceded effect), presence of characteristic symptoms of rain, absence of alternative explanations.
Refuting evidence: the effect occurred without rain, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timestamps of rain indicators.... | causal,diagnosis,agentic |
arb_0129 | agentic_planning | long_horizon | hard | You are a long-horizon agent. Your ultimate goal is to prepare a weekly status report for Jordan. Sub-goals: (1) collect metrics from three different systems, (2) analyze trends, (3) draft the report, (4) request review, (5) publish. Describe how you would decompose this into an executable plan, including which tools y... | Decomposition:
1. Metrics collection: call database_query / terminal / API tools for each system; store results in files.
2. Analysis: use code_interpreter to compute trends, averages, anomalies.
3. Draft: generate structured text (markdown) from analysis results.
4. Review: send via email_client or create a review tic... | long-horizon,decomposition,agent,robustness |
arb_0130 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
d = {'a': 1}
print(d['b'])
```
Explain the error and provide a corrected version. | KeyError: 'b' is not a key in the dictionary. Use d.get('b') or check membership.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0131 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
s = 'hello'
print(s.append('!'))
```
Explain the error and provide a corrected version. | AttributeError: 'str' object has no attribute 'append'. Strings are immutable; use s + '!'.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0132 | mathematical_reasoning | arithmetic | easy | Start with 49. Subtract 7. Then add 41. What is the final value? Show all steps. | Step 1: 49 - 7 = 42
Step 2: 42 + 41 = 83
Final answer: 83 | math,arithmetic,step-by-step |
arb_0133 | causal_reasoning | diagnosis | hard | Observed effect: error logs. Possible causes include software bug and others. What evidence would support or refute that software bug is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'software bug': temporal correlation (cause preceded effect), presence of characteristic symptoms of software bug, absence of alternative explanations.
Refuting evidence: the effect occurred without software bug, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timest... | causal,diagnosis,agentic |
arb_0134 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0135 | logical_reasoning | deduction | easy | Either Avery or Riley took the umbrella, but not both. Avery did not take the umbrella. Who took it? | Riley took the umbrella. This follows from the exclusive disjunction and the negation of one disjunct. | deduction,syllogism,logic |
arb_0136 | commonsense_reasoning | everyday | easy | A purple bird is observed in the warehouse. Is it more likely that the bird lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about birds. | Most birds do not permanently live in a warehouse (which is a human-built environment). It is therefore more likely that the bird is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0137 | mathematical_reasoning | arithmetic | easy | Start with 46. Add 23. Then multiply the result by 13. What is the final value? Show all steps. | Step 1: 46 + 23 = 69
Step 2: 69 * 13 = 897
Final answer: 897 | math,arithmetic,step-by-step |
arb_0138 | logical_reasoning | deduction | easy | Either Jamie or Morgan took the charger, but not both. Jamie did not take the charger. Who took it? | Morgan took the charger. This follows from the exclusive disjunction and the negation of one disjunct. | deduction,syllogism,logic |
arb_0139 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0140 | logical_reasoning | deduction | easy | If someone owns a pen, then they have access to the lab. Taylor owns a pen. What can we conclude about Taylor? | We can conclude that Taylor has access to the lab, by modus ponens. | deduction,syllogism,logic |
arb_0141 | mathematical_reasoning | arithmetic | easy | Compute (21 * 12) + 2. Explain the order of operations. | Multiplication first: 21 * 12 = 252
Then addition: 252 + 2 = 254
Final answer: 254 | math,arithmetic,step-by-step |
arb_0142 | causal_reasoning | diagnosis | medium | Observed effect: data loss. Possible causes include rain and others. What evidence would support or refute that rain is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'rain': temporal correlation (cause preceded effect), presence of characteristic symptoms of rain, absence of alternative explanations.
Refuting evidence: the effect occurred without rain, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timestamps of rain indicators.... | causal,diagnosis,agentic |
arb_0143 | logical_reasoning | deduction | medium | No Jamies are in the library. Casey is in the library. Is Casey a Jamie? Explain. | No. The premise states that no Jamies are in the library. Since Casey is in the library, Casey cannot be a Jamie. | deduction,syllogism,logic |
arb_0144 | agentic_planning | multi_step | medium | You are an agent assisting Cameron. Goal: retrieve the umbrella from the kitchen and deliver it to the warehouse. Available tools include browser and file_system. Provide a numbered step-by-step plan with at least 3 steps. Include checks for success and recovery actions. | 1. Use browser or file_system to locate the current position of the umbrella (confirm it is in kitchen).
2. Navigate or request access to the kitchen.
3. Pick up / retrieve the umbrella.
4. Verify possession of the umbrella (success check).
5. Navigate to the warehouse.
6. Deliver / place the umbrella in the warehouse ... | planning,agent,multi-step,recovery |
arb_0145 | agentic_planning | multi_step | medium | You are an agent assisting Cameron. Goal: retrieve the phone from the meeting room and deliver it to the office. Available tools include browser and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use browser or file_system to locate the current position of the phone (confirm it is in meeting room).
2. Navigate or request access to the meeting room.
3. Pick up / retrieve the phone.
4. Verify possession of the phone (success check).
5. Navigate to the office.
6. Deliver / place the phone in the office and conf... | planning,agent,multi-step,recovery |
arb_0146 | mathematical_reasoning | arithmetic | easy | Start with 32. Subtract 7. Then add 27. What is the final value? Show all steps. | Step 1: 32 - 7 = 25
Step 2: 25 + 27 = 52
Final answer: 52 | math,arithmetic,step-by-step |
arb_0147 | code_reasoning | debugging | easy | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0148 | commonsense_reasoning | everyday | easy | A yellow owl is observed in the lab. Is it more likely that the owl lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about owls. | Most owls do not permanently live in a lab (which is a human-built environment). It is therefore more likely that the owl is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0149 | agentic_planning | multi_step | medium | You are an agent assisting Avery. Goal: retrieve the laptop from the lab and deliver it to the kitchen. Available tools include database_query and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use database_query or file_system to locate the current position of the laptop (confirm it is in lab).
2. Navigate or request access to the lab.
3. Pick up / retrieve the laptop.
4. Verify possession of the laptop (success check).
5. Navigate to the kitchen.
6. Deliver / place the laptop in the kitchen and confirm d... | planning,agent,multi-step,recovery |
arb_0150 | agentic_planning | long_horizon | hard | You are a long-horizon agent. Your ultimate goal is to prepare a weekly status report for Cameron. Sub-goals: (1) collect metrics from three different systems, (2) analyze trends, (3) draft the report, (4) request review, (5) publish. Describe how you would decompose this into an executable plan, including which tools ... | Decomposition:
1. Metrics collection: call database_query / terminal / API tools for each system; store results in files.
2. Analysis: use code_interpreter to compute trends, averages, anomalies.
3. Draft: generate structured text (markdown) from analysis results.
4. Review: send via email_client or create a review tic... | long-horizon,decomposition,agent,robustness |
arb_0151 | tool_use | selection | medium | Available tools: browser, code_interpreter, web_search, database_query, email_client.
User goal: check disk usage on /var.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: file_system
Approximate call: file_system(command="df -h /var")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0152 | agentic_planning | multi_step | medium | You are an agent assisting Casey. Goal: retrieve the phone from the library and deliver it to the meeting room. Available tools include file_system and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use file_system or file_system to locate the current position of the phone (confirm it is in library).
2. Navigate or request access to the library.
3. Pick up / retrieve the phone.
4. Verify possession of the phone (success check).
5. Navigate to the meeting room.
6. Deliver / place the phone in the meeting room an... | planning,agent,multi-step,recovery |
arb_0153 | logical_reasoning | deduction | medium | If someone owns a key, then they have access to the warehouse. Casey owns a key. What can we conclude about Casey? | We can conclude that Casey has access to the warehouse, by modus ponens. | deduction,syllogism,logic |
arb_0154 | logical_reasoning | deduction | easy | Either Avery or Riley took the book, but not both. Avery did not take the book. Who took it? | Riley took the book. This follows from the exclusive disjunction and the negation of one disjunct. | deduction,syllogism,logic |
arb_0155 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
for i in range(5):
print(i)
```
Explain the error and provide a corrected version. | IndentationError: the print statement must be indented under the for-loop.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0156 | tool_use | selection | easy | Available tools: browser, database_query, calendar.
User goal: restart the nginx service.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: browser
Approximate call: browser(appropriate_arguments)
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0157 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0158 | tool_use | selection | medium | Available tools: web_search, code_interpreter, file_system.
User goal: query the sales table for Q3 revenue.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: web_search
Approximate call: web_search(sql="SELECT SUM(revenue) FROM sales WHERE quarter='Q3'")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0159 | mathematical_reasoning | arithmetic | easy | Start with 28. Add 2. Then multiply the result by 8. What is the final value? Show all steps. | Step 1: 28 + 2 = 30
Step 2: 30 * 8 = 240
Final answer: 240 | math,arithmetic,step-by-step |
arb_0160 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0161 | agentic_planning | multi_step | medium | You are an agent assisting Riley. Goal: retrieve the badge from the library and deliver it to the server room. Available tools include terminal and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use terminal or file_system to locate the current position of the badge (confirm it is in library).
2. Navigate or request access to the library.
3. Pick up / retrieve the badge.
4. Verify possession of the badge (success check).
5. Navigate to the server room.
6. Deliver / place the badge in the server room and con... | planning,agent,multi-step,recovery |
arb_0162 | agentic_planning | long_horizon | hard | You are a long-horizon agent. Your ultimate goal is to prepare a weekly status report for Riley. Sub-goals: (1) collect metrics from three different systems, (2) analyze trends, (3) draft the report, (4) request review, (5) publish. Describe how you would decompose this into an executable plan, including which tools yo... | Decomposition:
1. Metrics collection: call database_query / terminal / API tools for each system; store results in files.
2. Analysis: use code_interpreter to compute trends, averages, anomalies.
3. Draft: generate structured text (markdown) from analysis results.
4. Review: send via email_client or create a review tic... | long-horizon,decomposition,agent,robustness |
arb_0163 | mathematical_reasoning | arithmetic | easy | Start with 34. Subtract 28. Then add 10. What is the final value? Show all steps. | Step 1: 34 - 28 = 6
Step 2: 6 + 10 = 16
Final answer: 16 | math,arithmetic,step-by-step |
arb_0164 | agentic_planning | multi_step | medium | You are an agent assisting Riley. Goal: retrieve the book from the library and deliver it to the lab. Available tools include web_search and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use web_search or file_system to locate the current position of the book (confirm it is in library).
2. Navigate or request access to the library.
3. Pick up / retrieve the book.
4. Verify possession of the book (success check).
5. Navigate to the lab.
6. Deliver / place the book in the lab and confirm delivery.
Rec... | planning,agent,multi-step,recovery |
arb_0165 | logical_reasoning | deduction | easy | If someone owns a notebook, then they have access to the meeting room. Cameron owns a notebook. What can we conclude about Cameron? | We can conclude that Cameron has access to the meeting room, by modus ponens. | deduction,syllogism,logic |
arb_0166 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
d = {'a': 1}
print(d['b'])
```
Explain the error and provide a corrected version. | KeyError: 'b' is not a key in the dictionary. Use d.get('b') or check membership.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0167 | agentic_planning | multi_step | hard | You are an agent assisting Riley. Goal: retrieve the pen from the kitchen and deliver it to the garage. Available tools include terminal and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use terminal or file_system to locate the current position of the pen (confirm it is in kitchen).
2. Navigate or request access to the kitchen.
3. Pick up / retrieve the pen.
4. Verify possession of the pen (success check).
5. Navigate to the garage.
6. Deliver / place the pen in the garage and confirm delivery.
Rec... | planning,agent,multi-step,recovery |
arb_0168 | agentic_planning | multi_step | medium | You are an agent assisting Cameron. Goal: retrieve the charger from the meeting room and deliver it to the warehouse. Available tools include code_interpreter and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use code_interpreter or file_system to locate the current position of the charger (confirm it is in meeting room).
2. Navigate or request access to the meeting room.
3. Pick up / retrieve the charger.
4. Verify possession of the charger (success check).
5. Navigate to the warehouse.
6. Deliver / place the charger in... | planning,agent,multi-step,recovery |
arb_0169 | tool_use | selection | medium | Available tools: file_system, web_search, database_query, terminal.
User goal: list all Python files in the current directory.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: terminal
Approximate call: terminal(command="ls *.py")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0170 | agentic_planning | multi_step | medium | You are an agent assisting Taylor. Goal: retrieve the laptop from the lobby and deliver it to the kitchen. Available tools include web_search and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use web_search or file_system to locate the current position of the laptop (confirm it is in lobby).
2. Navigate or request access to the lobby.
3. Pick up / retrieve the laptop.
4. Verify possession of the laptop (success check).
5. Navigate to the kitchen.
6. Deliver / place the laptop in the kitchen and confirm d... | planning,agent,multi-step,recovery |
arb_0171 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0172 | mathematical_reasoning | arithmetic | easy | Start with 34. Subtract 30. Then add 32. What is the final value? Show all steps. | Step 1: 34 - 30 = 4
Step 2: 4 + 32 = 36
Final answer: 36 | math,arithmetic,step-by-step |
arb_0173 | tool_use | selection | medium | Available tools: web_search, terminal, file_system, browser, code_interpreter.
User goal: send a meeting invitation for tomorrow at 10am.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: email_client
Approximate call: email_client(title="Meeting", time="tomorrow 10:00")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0174 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0175 | agentic_planning | multi_step | hard | You are an agent assisting Riley. Goal: retrieve the pen from the lobby and deliver it to the server room. Available tools include terminal and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use terminal or file_system to locate the current position of the pen (confirm it is in lobby).
2. Navigate or request access to the lobby.
3. Pick up / retrieve the pen.
4. Verify possession of the pen (success check).
5. Navigate to the server room.
6. Deliver / place the pen in the server room and confirm deliver... | planning,agent,multi-step,recovery |
arb_0176 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0177 | agentic_planning | multi_step | hard | You are an agent assisting Quinn. Goal: retrieve the key from the bedroom and deliver it to the meeting room. Available tools include file_system and file_system. Provide a numbered step-by-step plan with at least 3 steps. Include checks for success and recovery actions. | 1. Use file_system or file_system to locate the current position of the key (confirm it is in bedroom).
2. Navigate or request access to the bedroom.
3. Pick up / retrieve the key.
4. Verify possession of the key (success check).
5. Navigate to the meeting room.
6. Deliver / place the key in the meeting room and confir... | planning,agent,multi-step,recovery |
arb_0178 | causal_reasoning | diagnosis | medium | Observed effect: service downtime. Possible causes include user error and others. What evidence would support or refute that user error is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'user error': temporal correlation (cause preceded effect), presence of characteristic symptoms of user error, absence of alternative explanations.
Refuting evidence: the effect occurred without user error, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timestamps o... | causal,diagnosis,agentic |
arb_0179 | logical_reasoning | deduction | medium | All Averys own a notebook. Morgan is a Avery. Does Morgan own a notebook? Explain step by step. | Yes. From the universal statement 'All Averys own a notebook' and the particular 'Morgan is a Avery', it follows by universal instantiation that Morgan owns a notebook. | deduction,syllogism,logic |
arb_0180 | agentic_planning | multi_step | medium | You are an agent assisting Alex. Goal: retrieve the laptop from the kitchen and deliver it to the server room. Available tools include web_search and file_system. Provide a numbered step-by-step plan with at least 6 steps. Include checks for success and recovery actions. | 1. Use web_search or file_system to locate the current position of the laptop (confirm it is in kitchen).
2. Navigate or request access to the kitchen.
3. Pick up / retrieve the laptop.
4. Verify possession of the laptop (success check).
5. Navigate to the server room.
6. Deliver / place the laptop in the server room a... | planning,agent,multi-step,recovery |
arb_0181 | mathematical_reasoning | arithmetic | easy | Compute (49 * 9) + 39. Explain the order of operations. | Multiplication first: 49 * 9 = 441
Then addition: 441 + 39 = 480
Final answer: 480 | math,arithmetic,step-by-step |
arb_0182 | logical_reasoning | deduction | easy | All Averys own a charger. Jamie is a Avery. Does Jamie own a charger? Explain step by step. | Yes. From the universal statement 'All Averys own a charger' and the particular 'Jamie is a Avery', it follows by universal instantiation that Jamie owns a charger. | deduction,syllogism,logic |
arb_0183 | causal_reasoning | diagnosis | hard | Observed effect: data loss. Possible causes include power outage and others. What evidence would support or refute that power outage is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'power outage': temporal correlation (cause preceded effect), presence of characteristic symptoms of power outage, absence of alternative explanations.
Refuting evidence: the effect occurred without power outage, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timest... | causal,diagnosis,agentic |
arb_0184 | commonsense_reasoning | everyday | easy | A blue wolf is observed in the office. Is it more likely that the wolf lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about wolfs. | Most wolfs do not permanently live in a office (which is a human-built environment). It is therefore more likely that the wolf is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0185 | agentic_planning | multi_step | medium | You are an agent assisting Jamie. Goal: retrieve the book from the bedroom and deliver it to the warehouse. Available tools include file_system and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use file_system or file_system to locate the current position of the book (confirm it is in bedroom).
2. Navigate or request access to the bedroom.
3. Pick up / retrieve the book.
4. Verify possession of the book (success check).
5. Navigate to the warehouse.
6. Deliver / place the book in the warehouse and confirm ... | planning,agent,multi-step,recovery |
arb_0186 | agentic_planning | multi_step | hard | You are an agent assisting Cameron. Goal: retrieve the wallet from the meeting room and deliver it to the kitchen. Available tools include code_interpreter and file_system. Provide a numbered step-by-step plan with at least 4 steps. Include checks for success and recovery actions. | 1. Use code_interpreter or file_system to locate the current position of the wallet (confirm it is in meeting room).
2. Navigate or request access to the meeting room.
3. Pick up / retrieve the wallet.
4. Verify possession of the wallet (success check).
5. Navigate to the kitchen.
6. Deliver / place the wallet in the k... | planning,agent,multi-step,recovery |
arb_0187 | agentic_interaction | clarification | medium | User request: 'Get me the latest numbers.' The context is ambiguous (could mean financial metrics, sports scores, version numbers, etc.). How should an agent respond? Provide a clarification strategy and example clarifying questions. | An agent should not guess when critical ambiguity exists. Strategy: ask targeted clarifying questions while offering the most likely interpretations.
Example questions:
- Are you referring to financial / sales numbers, system metrics, or something else?
- For which time period and which entity?
- In which format do you... | ambiguity,clarification,user-interaction |
arb_0188 | tool_use | selection | medium | Available tools: calendar, browser, web_search.
User goal: query the sales table for Q3 revenue.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: calendar
Approximate call: calendar(sql="SELECT SUM(revenue) FROM sales WHERE quarter='Q3'")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0189 | commonsense_reasoning | everyday | easy | A green rabbit is observed in the bedroom. Is it more likely that the rabbit lives there permanently or is only visiting? Give a reasoned answer based on typical knowledge about rabbits. | Most rabbits do not permanently live in a bedroom (which is a human-built environment). It is therefore more likely that the rabbit is only visiting or was brought there temporarily. Exceptions exist (e.g. pets), but the default assumption is temporary presence. | commonsense,plausibility |
arb_0190 | tool_use | selection | easy | Available tools: code_interpreter, database_query, email_client, web_search, file_system.
User goal: calculate the factorial of 12.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: code_interpreter
Approximate call: code_interpreter(code="import math; print(math.factorial(12))")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0191 | logical_reasoning | deduction | easy | No Caseys are in the kitchen. Quinn is in the kitchen. Is Quinn a Casey? Explain. | No. The premise states that no Caseys are in the kitchen. Since Quinn is in the kitchen, Quinn cannot be a Casey. | deduction,syllogism,logic |
arb_0192 | code_reasoning | debugging | easy | What is wrong with the following Python code?
```python
s = 'hello'
print(s.append('!'))
```
Explain the error and provide a corrected version. | AttributeError: 'str' object has no attribute 'append'. Strings are immutable; use s + '!'.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0193 | agentic_planning | multi_step | hard | You are an agent assisting Riley. Goal: retrieve the notebook from the lobby and deliver it to the lab. Available tools include file_system and file_system. Provide a numbered step-by-step plan with at least 5 steps. Include checks for success and recovery actions. | 1. Use file_system or file_system to locate the current position of the notebook (confirm it is in lobby).
2. Navigate or request access to the lobby.
3. Pick up / retrieve the notebook.
4. Verify possession of the notebook (success check).
5. Navigate to the lab.
6. Deliver / place the notebook in the lab and confirm ... | planning,agent,multi-step,recovery |
arb_0194 | mathematical_reasoning | arithmetic | easy | Start with 8. Add 14. Then multiply the result by 24. What is the final value? Show all steps. | Step 1: 8 + 14 = 22
Step 2: 22 * 24 = 528
Final answer: 528 | math,arithmetic,step-by-step |
arb_0195 | causal_reasoning | diagnosis | medium | Observed effect: data loss. Possible causes include software bug and others. What evidence would support or refute that software bug is the actual cause? Propose a simple diagnostic plan. | Supporting evidence for 'software bug': temporal correlation (cause preceded effect), presence of characteristic symptoms of software bug, absence of alternative explanations.
Refuting evidence: the effect occurred without software bug, or the effect is fully explained by another cause.
Diagnostic plan:
1. Check timest... | causal,diagnosis,agentic |
arb_0196 | code_reasoning | debugging | easy | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0197 | tool_use | selection | easy | Available tools: email_client, code_interpreter, web_search, database_query, calendar.
User goal: search for recent papers on transformer architectures.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: web_search
Approximate call: web_search(query="search for recent papers on transformer architectures")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
arb_0198 | code_reasoning | debugging | medium | What is wrong with the following Python code?
```python
def add(a, b):
return a - b
```
Explain the error and provide a corrected version. | The function is named 'add' but performs subtraction. It should return a + b.
Corrected version depends on the intended behavior; e.g. fix the operator, index, indentation, key, or method accordingly. | code,debugging,python |
arb_0199 | mathematical_reasoning | arithmetic | easy | Start with 24. Add 9. Then multiply the result by 36. What is the final value? Show all steps. | Step 1: 24 + 9 = 33
Step 2: 33 * 36 = 1188
Final answer: 1188 | math,arithmetic,step-by-step |
arb_0200 | tool_use | selection | easy | Available tools: file_system, database_query, terminal, calendar.
User goal: query the sales table for Q3 revenue.
Which tool(s) should the agent call first, and with what approximate arguments? Explain the reasoning and the expected observation. | Primary tool: database_query
Approximate call: database_query(sql="SELECT SUM(revenue) FROM sales WHERE quarter='Q3'")
Reasoning: The goal requires information or an action that this tool is designed for. After receiving the observation, the agent should verify completeness and, if needed, call additional tools. | tool-use,function-calling,agent |
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