user_query: What is the temperature today
tree_str_mr: [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_TEMP_LOW__ 64 ] [__ARG_TEMP_HIGH__ 77 ] [__ARG_CLOUD_COVERAGE__ sunny ] [__ARG_HUMIDITY__ low humidity ] [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Today ] ] [__ARG_LOCATION__ [__ARG_CITY__ Bishop ] ] ]
response: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Today ] ] 's high is [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] and the low of [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] ] . It'll be [__ARG_CLOUD_COVERAGE__ sunny ] with [__ARG_HUMIDITY__ low humidity ] ]
target: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Today ] ] 's high is [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] and the low of [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] ] . It'll be [__ARG_CLOUD_COVERAGE__ sunny ] with [__ARG_HUMIDITY__ low humidity ] ]
references: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Today ] ] 's high is [__ARG_TEMP_HIGH__ __ARG_TEMP_HIGH__ ] and the low of [__ARG_TEMP_LOW__ __ARG_TEMP_LOW__ ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] ] . It'll be [__ARG_CLOUD_COVERAGE__ sunny ] with [__ARG_HUMIDITY__ low humidity ] ]