    Mac OS X            	   2  
     
7                                      ATTR      
7                         /com.apple.metadata:kMDItemKeyphraseConfidences     m  ^  *com.apple.metadata:kMDItemKeyphraseLabels         +  +com.apple.metadata:kMDItemKeyphraseVersion        ,  .com.apple.metadata:kMDItemTextContentLanguage      
"     com.apple.quarantine bplist00P	

 !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOP#? ?Xb#?tA#?W   #?s2   #?]a#?1+v#?਀   #?.Za#?   #?Zd    #?nO    #?m@   #?^]7#?W    #?Z    #?=   #?◑u#?q8    #?ZW   #?x    #?k̀   #?߉B    #?<ӕJP#?K1    #?鼕JP#?ڃ| K#?3Q#?K#?l#?E܀   #?ь#?\    #?i    #?H-   #?˫    #?O?*y@#?q    #?F(#?DRS#?#C#?ي#?    #?>2    #?#?    #?5dR#?U#    #͓ #    #'    #f#ۅ#%4    #r@#;    #Ԕ    #Ćp#IRP#U.    #    #<3#    #ϓ_j#Ѥq    #ɝځ@# #նQ#\-+#רpY{u#*    #娄wp`#كvg# uM'
#|U#    #o1#kY#J]
E#Ht      [ d m v               !*3<ENW`ir{&/8AJS\enw"             Q              +bplist00P	

 !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOP_detailed analysis_logical reasoning]pay attention_issues relating_general description_code interpreter_accurately identify_determining whether^paid attention_accurate representation_potential consequences_unrelated examples_Dissues prioritize ensuring dataset specifications accurately reflect_simply repeating_incorrectly definedZfull score_unrelated issues_several discrepancies_description says_close examination\issues occur_highlighting discrepanciesXlow rate_distinct classesYhigh rate_mislead data processing_metric criteria_issue description_relevant context_actual structure_multiple issues^metric ensures\issue occurs[agent based\issues exist_actual dataset usage\rating rules^exact evidenceYtest file_wrong number of classes_machine learning models^clear location_generic statement^specific issue_predefined splits[medium rate_supervised learning task_dataset features^model training_metric stresses^intended usage^involved files_detailed context evidence]dataset split_attribute classificationsZtest split_correctly spotted_true number of classesYmain file_predefined train^answer implies_python script files_dataset specifications_single data split_representing decision-_finding of issues_human evaluators_inconsistent dataset split_main dataset script[class label_decision attribute]python script_accurate context evidence_(omerville happiness survey dataset files_ somerville happiness survey data^data splitting]issue context_answer evaluator_correct evidence context^hint disclosed  [ o       !:O)FObl 0=LVp
+:Ies	"6OcvBQ_r             Q              bplist00                            
bplist00Ren                            q/0081;66fcbd34;Arc; 