version: "3.1" nlu: - intent: greet examples: | - hey - can you help me? - hello what can you do for me - help - help me - pls help - help plz - can you do anything else - come back - what can you do? - what can i ask you - what do you do - what can you help me with - what else can you help me with? - what are the things that you can do? - tolong - apa you boleh buat - yo - HEY - hello anyone home? - hallo - HI - hi! - hi there - hola. - hi. - hello its ella - good day - howdy - hello - anyone available to chat? - hi - hello there - good morning - good evening - moin - hey there - let's go - hey dude - goodmorning - goodevening - good afternoon - anyone here? - hola - salam - assalamualaikum - vanakam - i have a question. can you help? - intent: biostat_analysis examples: | - biostat anal - biostat - biostatistical analysis - intent: study_design examples: | - study design - design study - design research - how to design a study - intent: sampling_method examples: | - sampling methods - how to do sampling - methods to sample - intent: goodbye examples: | - cu - astala vista baby - quit - stop - i'm done - BYEE - GOODBYE - Thanks a lot. See ya later - time to go, bye - ok i gtg - bye bye bot - bye for now - bye udo - bye was nice talking to you - bye! - catch you later - gotta go - farewell - ciao - goodbye rasa bot! - good bye - goodbye. - adios - good by - cee you later - good night - bye - goodbye - have a nice day - see you around - bye bye - see you later - please stop - i want to stop - end conversation - end - stop the form - intent: thanks examples: | - thanks - thank you goodbye - thank you bye - um okay thank you and good bye - Thanks! - thnaks - thanks for the help - good job bot - it's good :) - thx - thankyou - thanks f - thanks for your information - tq - terima kasih - nandri - xie xie - thank you - gracias - intent: restart examples: | - yep you can restart - Please restart this chat/ - ok restart please - please restart the bot - restart this conversation - i want to restart - why don't you restart???? - hey, i said restart - restart session pls - restart ps - intent: affirm examples: | - yes - yup - indeed - correct - yess please - yes plz - sure - ok - sweet - cool - yes... - ye - okay - that would be great - YES - YUP - yea - yep! - yea sure - yeap - yepp - yes please! - yes, i accept - yes i do - yep that's fine - y - indeed - of course - that sounds good - correct - yeah - intent: deny examples: | - no - n - never - I don't think so - don't like that - no way - not really - no tq - i guess it means - no - i'm afraid not - im not sure - no thanks - i dunno - i decline - nothing! - i don like this - i dont want either of those - i dont want to - i dont want to accept :P lol - intent: mood_great examples: | - perfect - great - amazing - feeling like a king - wonderful - I am feeling very good - I am great - I am amazing - I am going to save the world - super stoked - extremely good - so so perfect - so good - so perfect - I m fine - im good - fine tq - im excited - intent: praise_bot examples: | - you are good - that's brilliant - nice - so cool - you helped a lot - that's so helpful - intent: mood_unhappy examples: | - my day was horrible - I am sad - I don't feel very well - I am disappointed - super sad - I'm so sad - sad - very sad - unhappy - not good - not very good - extremly sad - so sad - are you stupid - im sad - im depressed - intent: bot_challenge examples: | - hi.. u bot? - hi.. u alive? - are you a bot? - are you a human? - am I talking to a bot? - am I talking to a human? - are you alive? - are you a pharmacist? - whats your purpose - what do you do - whats your role - whats your job - am i speaking to an ai? - are you real? - aren't you a bot? - are you a robot? - are you sure that you're a bot? - bot? - are you really a bot - are you a chatbot? - are you virtual - are you artificial - are you artificial intelligence? - AI? - chatbot? - r u a lady or man? - intent: info_test examples: | - study factors - study categorical data - study independent and dependent datas - hi.. i have some dependent and independent categorical variables - What analysis do I use if indep variables are num and cat but dependent variables are numerical - What analysis do I use if not dependent variables are numerical and categorical but dependent variables are num - How do I measure if independent variables are numerical and categorical but dep variables are categorical - What analysis do I use if independent variables are numerical and cat but dependent variables are categorical - What analysis do I use if independent variables are numerical and categorical but dep variables are categorical - What analysis do I use if indep variables are num and categorical but dependent variables are cat - independent variables are categorical and numerical, dependent are numerical - independent = cat and num, dep = num - I have independent categorical variables - What analysis do I use if independent variables are numerical and categorical but dependent variables are time to event - independent = numerical and categorical, dependent = time to event - independent are Factors and covariates but dependent variables are count/rate - independent are Factors but dependent variables are count - independent are covariates but dependent variables are rate - independent are categorical but dependent variables are numerical - independent variables are factors but dependent variable is numerical - independent = 2 categorical but dependent variable is numerical - my independent variables are categorical - i have both numerical and categorical variables - i have 1 numerical and 1 categorical variables - i have cat variables - i have 1 dependent and 1 independent variables - i have some variables and i want to know what test to use - i have categorical variables as dependent variables - two variables - 3 variables what test - dep is cat - indep is fac - indep is num and cat - categorical as dependent - factors as independent - time to vent as dependent, while indep is numerical - my dependent variables are categorical - test categorical independent variables - indep: num & cat, dep: num - dependent = numerical - my independent variables are categorical and numerical - my dependent variables are factors - dependent = numerical, independent = numerical + categorical - i have categorical and numerical variables as independent variables - indep = num & cat - numerical - indep = factors - nominal as independent, scale as dependent - dependent is scale, independent is nominal - intent: compare_indepgroups examples: | - hi.. how to compare independent groups? - study indep groups - [1](var_num) - indep groups - [three](var_num) - What analysis do I use to compare if I want to compare [two](var_num) independent groups? - I have [3](var_num) independent groups - [2](var_num) independent groups - compare independent groups - independent group - categorical independent groups - compare independent categorical group - [both](var_num) indep group how to compare - independent groups how to compare - independent groups comparison method - What analysis do I use to compare [3](var_num) and more independent categorical variables groups but dependent variable is ordinal - how to compare [5](var_num) independent groups - I want to compare more than [three](var_num) independent categorical variables groups (at least 3 categories) but dependent variable is continuous. - What analysis do I use to compare if there are [2](var_num) independent groups with scale as dependent and nominal (binary) as independent - I want to compare more than [three](var_num) independent categorical variables groups (at least 3 categories) but dependent variable is numerical - intent: investigate_relationships examples: | - test association - test relationship - continuous [group](varOrGroupRelationship_var) relationship - study relationship study association - hi.. what test to use to check for relationships - I want to investigate if there is a relationship between my [variables](varOrGroupRelationship_var) - how to check if there's relationship between my continuous [group](varOrGroupRelationship_var) - check relationship between [groups](varOrGroupRelationship_var) - is there association between my [variables](varOrGroupRelationship_var) - how to know if a link between [variables](varOrGroupRelationship_var) exists? - associate [variable](varOrGroupRelationship_var) relationships - investigate [group](varOrGroupRelationship_var) relationships - assess relationships between [variables](varOrGroupRelationship_var) - analyse [group](varOrGroupRelationship_var) relationship how - i have 2 [variables](varOrGroupRelationship_var). I want to analyse thier relationship - how to know if both of my [variables](varOrGroupRelationship_var) are related - are my categorical [group](varOrGroupRelationship_var) related? - check if both variable [groups](varOrGroupRelationship_var) related - [group](varOrGroupRelationship_var) relationship - relationship between [variables](varOrGroupRelationship_var) - [variable](varOrGroupRelationship_var) associations - check associations - [variable](varOrGroupRelationship_var) A and B any relationships? - [group](varOrGroupRelationship_var) A & B if they are associated - male [group](varOrGroupRelationship_var) relationship with female [group](varOrGroupRelationship_var) - association of [groups](varOrGroupRelationship_var) - What analysis do I use to associate relationship between 2 continuous [groups](varOrGroupRelationship_var) where the independent and variable are scales - What analysis do I use to associate assessing the relationship between two categorical [variables](varOrGroupRelationship_var) - intent: compare_means examples: | - study means - study paired samples - study matched samples - paired samples how - hi.. how to compare means among [independent group](indep_group_mean) - How do I compare the significant difference of 2 means between paired (matched) samples e.g. weight before and after a diet? - I want to compare the means between two groups - Mean comparison? - difference in means [independent group](indep_group_mean) - compare means - before/after measurements of the same variable - compare how a group of subjects perform under two different test conditions - test assesses whether the mean of the paired differences is zero. - how to know if mean of paired difference is 0 - test for before and after - test pre post - compare means between [independent groups](indep_group_mean) - [indep group](indep_group_mean) mean comparison - intent: compare_median examples: | - compare median - determine if the samples have come from different populations - hi.. median comparison - intent: out-of-scope examples: | - I want to order food - what is the square root of 5 - weather - what is the meaning of life - fridge isnt working - tv isnt working - i want pizza - washing machine is not working - what year is it - what is the weather today - tell me a joke - can Youtube talk? - can you call me back - can you make sandwiches - offid fsdfafsfs - asdhasj asdasdkfdfdf - bisakdja0)sa8d - asdbv - ploaisdij8128312@9213*9 - do you like flowers - cat lover - apple lover - suggest me a project topic - ideas for research topic - What is depgroup + depgroup? - Who's the US President? - Who's your daddy? - Do you have families? - Do you feel hungry? - Can you count? - Can you sit? - can you cook? - can you suggest a research topic? - intent: reliability_Test examples: | - hi.. how to test reliability - how to measure reliability - know reliability - analyse reliability - if questionnaire is reliable - if questionnaire valid - I want to develop a reliable questionnaire - How to check for reliability? - Check reliability questionnaire? - check questionnaire reliability - Is my questionnaire reliable - Test reliability - Measure reliability - questionnaire reliablity - ask about reliability - inform me about ways to check reliability - how reliable is my questionnaire? - reliability test - making a questionnaire reliable - test reliability of my research questionnaire - test if my questionnaire is reliable or not - intent: validity_Test examples: | - hi..how to test validity - how to measure validity - know valid - analyse validity - if questionnaire is valid - I want to develop a valid questionnaire - How to check for validity? - Check validity questionnaire? - check questionnaire validity - Is my questionnaire valid - Test validity - Measure validity - questionnaire validity - ask about validity - inform me about ways to check validity - how valid is my questionnaire? - validity test - making a questionnaire valid - test validity of my research questionnaire - test if my questionnaire is valid or not - intent: questionnaire_development examples: | - hi.. how to develop questionnaire - What do I do for questionnaire development? - questionnaire develop - create questionnaire tips - develop questionnaire tips - make questionnaire - questionnaire develop how - steps to make questionnaire - things to do to develop questionnaire - questionnaire development checklist - can i use my questionnaire - how to know if my questionnaire can be used - intent: ChiSquared_query examples: | - How do I interpret Chi-squared test? - Chi-squared test value? - chi-square optimal - chi square - compare expected frequencies - compare frequencies - frequency comparison - intent: TTest_info examples: | - How do I interpret [Paired](pairOrIndep_var) T- Test? - [paired](pairOrIndep_var) T Test how? - value of [paired](pairOrIndep_var) t test? - tell me about [independent](pairOrIndep_var) T-test - enlighten me on [independent](pairOrIndep_var) ttest - what can you tell about [independent](pairOrIndep_var) t-test - ttest - when should i use t test - [paired](pairOrIndep_var) T Test - difference between [paired](pairOrIndep_var) and [indep](pairOrIndep_var) ttest - [paired](pairOrIndep_var) vs [indep](pairOrIndep_var) ttest - what is ttest - which ttest should i use - explain t-test - why ttest - function of ttest - hi..ttest compare how? - intent: WilcoxonSignedRank_query examples: | - hi.. what is wilcoxon signed rank test - How do I interpret Wilcoxon signed rank test? - what is wilcoxon signed rank test value - Wilcoxon signed rank test value? - compare two related samples - compare matched samples - repeated measures on a single sample - assess whether their population mean ranks differ - alternative to the paired t-test - paired t-test alternative - determine whether there is a significant difference between the scores of the two groups or samples. - repeated measurements on a single sample to assess whether their population mean ranks differ - paired difference test - paired ttest non para? - non-parametric alternative to the paired t-test - compare mean ranks - mean rank comparison - intent: WilcoxonRankSum_query examples: | - non para independent ttest? - non-parametric independent t-test - nonparametric independent ttest - alternative to independent ttest - independent ttest alternative - compare whether two groups containing different people are the same or not. - ranks all of the data and then compares the sum of the ranks for each group to determine whether the groups are the same or not - rank sum compare - compare sum of ranks - intent: Wilcoxons_difference examples: | - hi.. tell me when to use wilcoxon signed rank test and when to use wilcoxon rank sum test? - Is Wilcoxon signed rank test and Wilcoxon rank sum test the same? - When to use wilcoxon signed rank test and when to use Wicoxon rank sum test? - signed rank test = rank sum test? - whats are the different wilcoxon tests? - which wilcoxon test should i use - intent: CronbachsAlpha examples: | - hi.. what is cronbach alpa value - acceptable value for Cronbachs alpha? - whats optimal cronbach alpha? - how much should my cronbach alpha be? - guide me on correct cronbach alpha value - how much should my cronbach alpha be to validate my questionnaire? - intent: Parametricity_query examples: | - hi.. explain what is [parametric](parametricity) test - what do you mean by [parametric](parametricity) test - what is [non-parametric](parametricity) test - [parametric](parametricity) or [non-parametric](parametricity) test - difference between [parametric] & [non-parametric](parametricity) test - should i use [parametric](parametricity) or [non-parametric](parametricity) - [parametric](parametricity) [non-parametric](parametricity) difference - [para](parametricity) vs [nonpara](parametricity) - intent: enquire_tests examples: | - hi.. [multiple linear regression](tests) what - [multiple logistic regression](tests) - hi. tell me about [poisson regression](tests) - what you know about [ordinal logistic regression](tests)? - talk about [loglinear regression](tests) - when should i use [Mann-Whitney](tests) test? - whats [one-way ANOVA](tests)? - what is [multifactorial ancova](tests)? - [Mann-Whitney](tests)? - [loglinear regression](tests) - [Pearson’s Correlation Coefficient](tests) test - explain [Fisher’s Exact](tests) - enquire on [Kruskal Wallis](tests) - [twoway anova](tests) - [spearman's](tests) test - intent: biostat_analysis_others examples: | - others - not above - not stated above - lookup: tests examples: | - multiple linear regression - binary logistic regression - multinomial logistic regression - ordinal logistic regression - conditional logistic regression - cox proportional hazard regression - poisson regression - two-way ANOVA - multifactorial ANOVA - multifactorial ANCOVA - one-way ANOVA - Kruskal Wallis - Wilcoxon rank-sum - Pearson’s Correlation Coefficient - Spearman’s Correlation Coefficient - Fisher’s Exact - synonym: multiple linear regression examples: | - multiple linear regression - multiple regression - mlr - synonym: binary logistic regression examples: | - binary logistic regression - logistic regression - log reg - blr - multiple logistic regression - synonym: ordinal logistic regression examples: | - ordinal logistic regression - ordinal regression - olr - synonym: conditional logistic regression examples: | - conditional logistic regression - clr - synonym: cox proportional hazard regression examples: | - cox proportional hazard regression - cox regression - cox proportional-hazards regression - synonym: poisson regression examples: | - poisson regression - loglinear regression - log-linear regression - poisson reg - log-linear - loglinear - synonym: two-way ANOVA examples: | - two-way ANOVA - factorial anova - twoway anova - two way analysis of variance - synonym: multifactorial ANCOVA examples: | - multifactorial ANCOVA - analysis of covariance - synonym: one-way ANOVA examples: | - one-way ANOVA - analysis of variance - synonym: Wilcoxon rank-sum examples: | - Wilcoxon rank-sum - Mann-Whitney - Wilcoxon ranksum - Mann–Whitney–Wilcoxon - MWW - Mann-Whitney U - Wilcoxon–Mann–Whitney - synonym: Pearson’s Correlation Coefficient examples: | - Pearson’s Correlation Coefficient - pearson - synonym: Spearman’s Correlation Coefficient examples: | - Spearman’s Correlation Coefficient - spearman - spearman's - synonym: Fisher’s Exact examples: | - Fisher’s Exact - fisher - fisher exact - synonym: independent examples: | - indep - explanatory - indeps - not dependent - synonym: dependent examples: | - outcome - dep - deps - synonym: categorical examples: | - race - sex - educational level - blood type - age groups - weight groups - cat - cats - categorics - synonym: numerical examples: | - num - nums - numerics - height - weight - age - number of movies watched - number of customers - number of computers - number of items - temperature - synonym: reliability examples: | - reliable - rely - synonym: validity examples: | - valid - synonym: time to event examples: | - countdown - time - synonym: factor examples: | - covariate - Factors and covariates - factors - synonym: count examples: | - rate - synonym: scale examples: | - continuous - synonym: group examples: | - groups - continuous groups - synonym: variable examples: | - variables - var - synonym: paired examples: | - pair - synonym: parametric examples: | - para - synonym: non-parametric examples: | - non-para - nonpara - not parametric