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<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>What are the safest and most effective yoga poses to recommend for each trimester to support emotional well-being and physical comfort during pregnancy?</question>
<function_name>What are the safest and most effective yoga poses to recommend for each trimester to support emotional well-being and physical comfort during pregnancy?</function_name>
<find_arguments>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>What's the fastest route to [destination]?</question>
<function_name>What's the fastest route to [destination]?</function_name>
<find_arguments>
<argument_name>start</argument_name>
<argument_name>end</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'start': 'current_location', 'end': '[destination]'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>How can I improve team collaboration and productivity based on past experiences?</question>
<function_name>How can I improve team collaboration and productivity based on past experiences?</function_name>
<find_arguments>
<argument_name>experience_type</argument_name>
<argument_name>focus_area</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'experience_type': 'team collaboration', 'focus_area': 'productivity'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>νλ μ ν
μ΄μ
μ λμμ€ μ μμ΄μ? μ£Όμ λ νλ‘μ νΈ κ΄λ¦¬μ
λλ€.</question>
<function_name>νλ μ ν
μ΄μ
μ λμμ€ μ μμ΄μ? μ£Όμ λ νλ‘μ νΈ κ΄λ¦¬μ
λλ€.</function_name>
<find_arguments>
<argument_name>title</argument_name>
<argument_name>content</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'title': 'νλ‘μ νΈ κ΄λ¦¬', 'content': ['λͺ©ν μ€μ ', 'μΌμ κ΄λ¦¬', 'ν μν λΆλ°°', '리μ€ν¬ κ΄λ¦¬']}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>What datasets are available to analyze the impact of forced migrations on societal structures, such as social cohesion, economic stability, and cultural integration in specific regions?</question>
<function_name>What datasets are available to analyze the impact of forced migrations on societal structures, such as social cohesion, economic stability, and cultural integration in specific regions?</function_name>
<find_arguments>
<argument_name>region</argument_name>
<argument_name>time_frame</argument_name>
<argument_name>migration_type</argument_name>
<argument_name>societal_indicators</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'region': 'string', 'time_frame': {'start_year': 'integer', 'end_year': 'integer'}, 'migration_type': 'forced', 'societal_indicators': ['social_cohesion', 'economic_stability', 'cultural_integration']}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>λΈλΌμ΄ν΄ & νμ΄νΈ νΈμ€μ λ€μ κ²½κΈ° μΌμ μ μΈμ μΈκ°μ?</question>
<function_name>λΈλΌμ΄ν΄ & νμ΄νΈ νΈμ€μ λ€μ κ²½κΈ° μΌμ μ μΈμ μΈκ°μ?</function_name>
<find_arguments>
<argument_name>team_name</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'team_name': 'Brighton & Hove Albion FC'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>How can I find reliable CAD designers for occasional product prototype work?</question>
<function_name>How can I find reliable CAD designers for occasional product prototype work?</function_name>
<find_arguments>
<argument_name>service_type</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'service_type': 'product prototypes'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>How do I report a suspicious activity or potential vandalism in the area?</question>
<function_name>How do I report a suspicious activity or potential vandalism in the area?</function_name>
<find_arguments>
<argument_name>location</argument_name>
<argument_name>description</argument_name>
<argument_name>timestamp</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'location': 'patrolled_area', 'description': 'suspicious_activity_or_vandalism', 'timestamp': 'current_time'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>μ΄ μ νμ ν¬ν¨λ ν΄λ‘μ΄ μ±λΆμ 무μμΈκ°μ?</question>
<function_name>μ΄ μ νμ ν¬ν¨λ ν΄λ‘μ΄ μ±λΆμ 무μμΈκ°μ?</function_name>
<find_arguments>
<argument_name>product_name</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'product_name': 'μ¬μ©μκ° μ 곡ν μ νλͺ
λλ μ±λΆ λͺ©λ‘'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>ν¬λ°μ΄ μ°λμ μ°κΈ° λΆμμ μν΄ μ£Όλͺ©ν΄μΌ ν μ£Όμ μ°κΈ° κΈ°μ μ΄λ μΊλ¦ν° κ΅¬μΆ λ°©μμ 무μμΈκ°μ?</question>
<function_name>ν¬λ°μ΄ μ°λμ μ°κΈ° λΆμμ μν΄ μ£Όλͺ©ν΄μΌ ν μ£Όμ μ°κΈ° κΈ°μ μ΄λ μΊλ¦ν° κ΅¬μΆ λ°©μμ 무μμΈκ°μ?</function_name>
<find_arguments>
<argument_name>actor_name</argument_name>
<argument_name>analysis_type</argument_name>
<argument_name>specific_films</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'actor_name': 'Tuesday Weld', 'analysis_type': 'character_development_techniques', 'specific_films': ['The Entertainer', "The Children's Hour"]}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>μ λΉμ μ μ νλ‘볡μμ κΆμλ₯Ό λμ νλ €κ³ νλμ?</question>
<function_name>μ λΉμ μ μ νλ‘볡μμ κΆμλ₯Ό λμ νλ €κ³ νλμ?</function_name>
<find_arguments>
<argument_name>target</argument_name>
<argument_name>reason</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'target': 'μ νλ‘볡μ', 'reason': 'MMAμ 볡μ±μ μ€νμΌ μ°¨μ΄λ‘ μΈν κ²½μμ¬'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>How can I track the current status of a bill in the legislative process?</question>
<function_name>How can I track the current status of a bill in the legislative process?</function_name>
<find_arguments>
<argument_name>bill_id</argument_name>
<argument_name>legislature</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'bill_id': 'HB2023-001', 'legislature': 'State Legislature'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>How has the International Red Cross influenced global humanitarian policies over the past century?</question>
<function_name>How has the International Red Cross influenced global humanitarian policies over the past century?</function_name>
<find_arguments>
<argument_name>organization_name</argument_name>
<argument_name>time_period</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'organization_name': 'International Red Cross', 'time_period': '20th century'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>μ€μ€ν΄, ν
μ¬μ€μ μλ λ‘컬 μ°½μ λͺ¨μμ μ°Ύμ μ μμκΉμ?</question>
<function_name>μ€μ€ν΄, ν
μ¬μ€μ μλ λ‘컬 μ°½μ λͺ¨μμ μ°Ύμ μ μμκΉμ?</function_name>
<find_arguments>
<argument_name>location</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'location': 'Austin, Texas'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>What is the current status of the upcoming U2 concerts in the US?</question>
<function_name>What is the current status of the upcoming U2 concerts in the US?</function_name>
<find_arguments>
<argument_name>tour_name</argument_name>
<argument_name>region</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'tour_name': 'U2 Live Tour 2023', 'region': 'US'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>νλμ€μμ μμ° μΉνμ μΈ κ΄κ΄ νλμ μΆμ²ν΄ μ£ΌμΈμ.</question>
<function_name>νλμ€μμ μμ° μΉνμ μΈ κ΄κ΄ νλμ μΆμ²ν΄ μ£ΌμΈμ.</function_name>
<find_arguments>
<argument_name>country</argument_name>
<argument_name>activity_type</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'country': 'νλμ€', 'activity_type': 'λ¬Έν/μμ¬'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>νκ΅μ μ’
κ΅ μ κ΅μ¬λ‘μ μ¬μ±λ€μ΄ μ΄λ€ μν μ νμλμ?</question>
<function_name>νκ΅μ μ’
κ΅ μ κ΅μ¬λ‘μ μ¬μ±λ€μ΄ μ΄λ€ μν μ νμλμ?</function_name>
<find_arguments>
<argument_name>region</argument_name>
<argument_name>gender</argument_name>
<argument_name>focus_area</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'region': 'Asia', 'gender': 'female', 'focus_area': 'religious_missions'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>λ§μ΄ν¬λ‘μν€ν
μ² μμ§λμ΄κ° μΊμλ₯Ό μ κΈκ³ μ κ°μκΉμ? νκΈμ λ§λ€κΈ° μν΄μ!</question>
<function_name>λ§μ΄ν¬λ‘μν€ν
μ² μμ§λμ΄κ° μΊμλ₯Ό μ κΈκ³ μ κ°μκΉμ? νκΈμ λ§λ€κΈ° μν΄μ!</function_name>
<find_arguments>
<argument_name>topic</argument_name>
<argument_name>pun_type</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'topic': 'microarchitecture', 'pun_type': 'hardware-related'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>μ΅μ λλ‘ λΆνμ λν λ
μ μ μΈ μ κ·Όμ ν΅ν΄ μ μμμ μ£ΌμΈμκ² μ 곡ν μ μλ ννμ 무μμΈκ°μ?</question>
<function_name>μ΅μ λλ‘ λΆνμ λν λ
μ μ μΈ μ κ·Όμ ν΅ν΄ μ μμμ μ£ΌμΈμκ² μ 곡ν μ μλ ννμ 무μμΈκ°μ?</function_name>
<find_arguments>
<argument_name>product_category</argument_name>
<argument_name>access_type</argument_name>
<argument_name>target_audience</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'product_category': 'λλ‘ λΆν', 'access_type': 'λ
μ μ ', 'target_audience': 'μ μμμ μμ μ'}<|im_end|>
|
<|im_start|>system
You are an AI that predicts the arguments of a function.
You will be given information about a function call and a related sentence from the user.
Your task is to infer and output the correct arguments for the given function.<|im_end|>
<|im_start|>user
<question>μΈλ¬Όμ μ§νμ λν μ£Όμ κ°λ
κ³Ό λΆμ λ°©λ²μ μ€λͺ
ν΄ μ£ΌμΈμ. μλ₯Ό λ€μ΄, λ¬Ένμ΄λ μνμμ μΈλ¬Όμ μ±κ²© λ³νλ₯Ό μ΄ν΄νλ λ° λμμ΄ λλ μ΄λ‘ μ΄λ μ κ·Ό λ°©μμ 무μμΈκ°μ?</question>
<function_name>μΈλ¬Όμ μ§νμ λν μ£Όμ κ°λ
κ³Ό λΆμ λ°©λ²μ μ€λͺ
ν΄ μ£ΌμΈμ. μλ₯Ό λ€μ΄, λ¬Ένμ΄λ μνμμ μΈλ¬Όμ μ±κ²© λ³νλ₯Ό μ΄ν΄νλ λ° λμμ΄ λλ μ΄λ‘ μ΄λ μ κ·Ό λ°©μμ 무μμΈκ°μ?</function_name>
<find_arguments>
<argument_name>subject</argument_name>
<argument_name>resource_type</argument_name>
<argument_name>example_media</argument_name>
</find_arguments>
<|im_end|>
<|im_start|>assistant
<think>
</think>
{'subject': 'character_evolution', 'resource_type': 'theoretical_analysis', 'example_media': ['literature', 'film']}<|im_end|>
|
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