BENCHMARK_DATASET  = 'YY26/TS_benchmark'
TARGET_DATASET     = 'Salesforce/lotsa_data'

# columns
COLUMN_ID          = 'id'
COLUMN_TS_ID       = 'ts_id'
COLUMN_TARGET_ID   = 'target_id'
COLUMN_START_INDEX = 'start_index'
COLUMN_END_INDEX   = 'end_index'
COLUMN_QA_TYPE     = 'qa_type'
COLUMN_TASK_TYPE   = 'task_type'
COLUMN_QUESTION    = 'question'
COLUMN_OPTION      = 'option'
COLUMN_ANSWER      = 'answer'
COLUMN_DOMAIN      = 'domain'
COLUMN_SOURCE      = 'source'
COLUMN_LOCAL_OVERALL = 'local_overall'
COLUMN_OPTIONS     = 'options'

#subtarget meaning map
SUBTARGET_MEANING_MAP = {'traffic_hourly'             : {0:'Road occupancy rates'},
                         'alibaba_cluster_trace_2018' : {0:'CPU',
                                                         1:'memory usage'},
                         'era5_2018'                  : {**{k: 'Relative Humidity' for k in range(10, 17)},
                                                        **{k: 'Temperature' for k in range(24, 31)}}}
#TODO:不同索引下名称不能相同，否则生成df时会报错