Upload 18 files

.gitattributes

@@ -57,3 +57,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+movielens_25m/ml-25m/genome-scores.csv filter=lfs diff=lfs merge=lfs -text
+movielens_25m/ml-25m/ratings.csv filter=lfs diff=lfs merge=lfs -text
+movielens_25m/ml-25m/tags.csv filter=lfs diff=lfs merge=lfs -text
+navigatingsensitivity/ao3_interaction_table.csv filter=lfs diff=lfs merge=lfs -text
+navigatingsensitivity/ao3_sensitivity_table.csv filter=lfs diff=lfs merge=lfs -text

movielens_25m/.gitignore

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+*

movielens_25m/ml-25m/README.txt

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+Summary
+=======
+
+This dataset (ml-25m) describes 5-star rating and free-text tagging activity from [MovieLens](http://movielens.org), a movie recommendation service. It contains 25000095 ratings and 1093360 tag applications across 62423 movies. These data were created by 162541 users between January 09, 1995 and November 21, 2019. This dataset was generated on November 21, 2019.
+
+Users were selected at random for inclusion. All selected users had rated at least 20 movies. No demographic information is included. Each user is represented by an id, and no other information is provided.
+
+The data are contained in the files `genome-scores.csv`, `genome-tags.csv`, `links.csv`, `movies.csv`, `ratings.csv` and `tags.csv`. More details about the contents and use of all these files follows.
+
+This and other GroupLens data sets are publicly available for download at <http://grouplens.org/datasets/>.
+
+
+Usage License
+=============
+
+Neither the University of Minnesota nor any of the researchers involved can guarantee the correctness of the data, its suitability for any particular purpose, or the validity of results based on the use of the data set. The data set may be used for any research purposes under the following conditions:
+
+* The user may not state or imply any endorsement from the University of Minnesota or the GroupLens Research Group.
+* The user must acknowledge the use of the data set in publications resulting from the use of the data set (see below for citation information).
+* The user may not redistribute the data without separate permission.
+* The user may not use this information for any commercial or revenue-bearing purposes without first obtaining permission from a faculty member of the GroupLens Research Project at the University of Minnesota.
+* The executable software scripts are provided "as is" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of them is with you. Should the program prove defective, you assume the cost of all necessary servicing, repair or correction.
+
+In no event shall the University of Minnesota, its affiliates or employees be liable to you for any damages arising out of the use or inability to use these programs (including but not limited to loss of data or data being rendered inaccurate).
+
+If you have any further questions or comments, please email <grouplens-info@umn.edu>
+
+
+Citation
+========
+
+To acknowledge use of the dataset in publications, please cite the following paper:
+
+> F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. <https://doi.org/10.1145/2827872>
+
+
+Further Information About GroupLens
+===================================
+
+GroupLens is a research group in the Department of Computer Science and Engineering at the University of Minnesota. Since its inception in 1992, GroupLens's research projects have explored a variety of fields including:
+
+* recommender systems
+* online communities
+* mobile and ubiquitious technologies
+* digital libraries
+* local geographic information systems
+
+GroupLens Research operates a movie recommender based on collaborative filtering, MovieLens, which is the source of these data. We encourage you to visit <http://movielens.org> to try it out! If you have exciting ideas for experimental work to conduct on MovieLens, send us an email at <grouplens-info@cs.umn.edu> - we are always interested in working with external collaborators.
+
+
+Content and Use of Files
+========================
+
+Verifying the Dataset Contents
+------------------------------
+
+We encourage you to verify that the dataset you have on your computer is identical to the ones hosted at [grouplens.org](http://grouplens.org).  This is an important step if you downloaded the dataset from a location other than [grouplens.org](http://grouplens.org), or if you wish to publish research results based on analysis of the MovieLens dataset.
+
+We provide a [MD5 checksum](http://en.wikipedia.org/wiki/Md5sum) with the same name as the downloadable `.zip` file, but with a `.md5` file extension. To verify the dataset:
+
+    # on linux
+    md5sum ml-25m.zip; cat ml-25m.zip.md5
+
+    # on OSX
+    md5 ml-25m.zip; cat ml-25m.zip.md5
+
+    # windows users can download a tool from Microsoft (or elsewhere) that verifies MD5 checksums
+
+Check that the two lines of output contain the same hash value.
+
+
+Formatting and Encoding
+-----------------------
+
+The dataset files are written as [comma-separated values](http://en.wikipedia.org/wiki/Comma-separated_values) files with a single header row. Columns that contain commas (`,`) are escaped using double-quotes (`"`). These files are encoded as UTF-8. If accented characters in movie titles or tag values (e.g. Misérables, Les (1995)) display incorrectly, make sure that any program reading the data, such as a text editor, terminal, or script, is configured for UTF-8.
+
+
+User Ids
+--------
+
+MovieLens users were selected at random for inclusion. Their ids have been anonymized. User ids are consistent between `ratings.csv` and `tags.csv` (i.e., the same id refers to the same user across the two files).
+
+
+Movie Ids
+---------
+
+Only movies with at least one rating or tag are included in the dataset. These movie ids are consistent with those used on the MovieLens web site (e.g., id `1` corresponds to the URL <https://movielens.org/movies/1>). Movie ids are consistent between `ratings.csv`, `tags.csv`, `movies.csv`, and `links.csv` (i.e., the same id refers to the same movie across these four data files).
+
+
+Ratings Data File Structure (ratings.csv)
+-----------------------------------------
+
+All ratings are contained in the file `ratings.csv`. Each line of this file after the header row represents one rating of one movie by one user, and has the following format:
+
+    userId,movieId,rating,timestamp
+
+The lines within this file are ordered first by userId, then, within user, by movieId.
+
+Ratings are made on a 5-star scale, with half-star increments (0.5 stars - 5.0 stars).
+
+Timestamps represent seconds since midnight Coordinated Universal Time (UTC) of January 1, 1970.
+
+
+Tags Data File Structure (tags.csv)
+-----------------------------------
+
+All tags are contained in the file `tags.csv`. Each line of this file after the header row represents one tag applied to one movie by one user, and has the following format:
+
+    userId,movieId,tag,timestamp
+
+The lines within this file are ordered first by userId, then, within user, by movieId.
+
+Tags are user-generated metadata about movies. Each tag is typically a single word or short phrase. The meaning, value, and purpose of a particular tag is determined by each user.
+
+Timestamps represent seconds since midnight Coordinated Universal Time (UTC) of January 1, 1970.
+
+
+Movies Data File Structure (movies.csv)
+---------------------------------------
+
+Movie information is contained in the file `movies.csv`. Each line of this file after the header row represents one movie, and has the following format:
+
+    movieId,title,genres
+
+Movie titles are entered manually or imported from <https://www.themoviedb.org/>, and include the year of release in parentheses. Errors and inconsistencies may exist in these titles.
+
+Genres are a pipe-separated list, and are selected from the following:
+
+* Action
+* Adventure
+* Animation
+* Children's
+* Comedy
+* Crime
+* Documentary
+* Drama
+* Fantasy
+* Film-Noir
+* Horror
+* Musical
+* Mystery
+* Romance
+* Sci-Fi
+* Thriller
+* War
+* Western
+* (no genres listed)
+
+
+Links Data File Structure (links.csv)
+---------------------------------------
+
+Identifiers that can be used to link to other sources of movie data are contained in the file `links.csv`. Each line of this file after the header row represents one movie, and has the following format:
+
+    movieId,imdbId,tmdbId
+
+movieId is an identifier for movies used by <https://movielens.org>. E.g., the movie Toy Story has the link <https://movielens.org/movies/1>.
+
+imdbId is an identifier for movies used by <http://www.imdb.com>. E.g., the movie Toy Story has the link <http://www.imdb.com/title/tt0114709/>.
+
+tmdbId is an identifier for movies used by <https://www.themoviedb.org>. E.g., the movie Toy Story has the link <https://www.themoviedb.org/movie/862>.
+
+Use of the resources listed above is subject to the terms of each provider.
+
+
+Tag Genome (genome-scores.csv and genome-tags.csv)
+-------------------------------------------------
+
+This data set includes a current copy of the Tag Genome.
+
+[genome-paper]: http://files.grouplens.org/papers/tag_genome.pdf
+
+The tag genome is a data structure that contains tag relevance scores for movies.  The structure is a dense matrix: each movie in the genome has a value for *every* tag in the genome.
+
+As described in [this article][genome-paper], the tag genome encodes how strongly movies exhibit particular properties represented by tags (atmospheric, thought-provoking, realistic, etc.). The tag genome was computed using a machine learning algorithm on user-contributed content including tags, ratings, and textual reviews.
+
+The genome is split into two files.  The file `genome-scores.csv` contains movie-tag relevance data in the following format:
+
+    movieId,tagId,relevance
+
+The second file, `genome-tags.csv`, provides the tag descriptions for the tag IDs in the genome file, in the following format:
+
+    tagId,tag
+
+The `tagId` values are generated when the data set is exported, so they may vary from version to version of the MovieLens data sets.
+
+Please include the following citation if referencing tag genome data:
+
+> Jesse Vig, Shilad Sen, and John Riedl. 2012. The Tag Genome: Encoding Community Knowledge to Support Novel Interaction. ACM Trans. Interact. Intell. Syst. 2, 3: 13:1–13:44. <https://doi.org/10.1145/2362394.2362395>
+
+
+Cross-Validation
+----------------
+
+Prior versions of the MovieLens dataset included either pre-computed cross-folds or scripts to perform this computation. We no longer bundle either of these features with the dataset, since most modern toolkits provide this as a built-in feature. If you wish to learn about standard approaches to cross-fold computation in the context of recommender systems evaluation, see [LensKit](http://lenskit.org) for tools, documentation, and open-source code examples.

movielens_25m/ml-25m/genome-scores.csv

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movielens_25m/ml-25m/genome-tags.csv

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+tagId,tag
+1,007
+2,007 (series)
+3,18th century
+4,1920s
+5,1930s
+6,1950s
+7,1960s
+8,1970s
+9,1980s
+10,19th century
+11,3d
+12,70mm
+13,80s
+14,9/11
+15,aardman
+16,aardman studios
+17,abortion
+18,absurd
+19,action
+20,action packed
+21,adaptation
+22,adapted from:book
+23,adapted from:comic
+24,adapted from:game
+25,addiction
+26,adolescence
+27,adoption
+28,adultery
+29,adventure
+30,affectionate
+31,afi 100
+32,afi 100 (laughs)
+33,afi 100 (movie quotes)
+34,africa
+35,afterlife
+36,aging
+37,aids
+38,airplane
+39,airport
+40,alaska
+41,alcatraz
+42,alcoholism
+43,alien
+44,alien invasion
+45,aliens
+46,allegory
+47,almodovar
+48,alone in the world
+49,alter ego
+50,alternate endings
+51,alternate history
+52,alternate reality
+53,alternate universe
+54,amazing cinematography
+55,amazing photography
+56,american civil war
+57,amnesia
+58,amy smart
+59,android(s)/cyborg(s)
+60,androids
+61,animal movie
+62,animals
+63,animated
+64,animation
+65,anime
+66,antarctica
+67,anti-hero
+68,anti-semitism
+69,anti-war
+70,apocalypse
+71,archaeology
+72,argentina
+73,arms dealer
+74,arnold
+75,art
+76,art house
+77,artificial intelligence
+78,artist
+79,artistic
+80,artsy
+81,assassin
+82,assassination
+83,assassins
+84,astronauts
+85,atheism
+86,atmospheric
+87,australia
+88,australian
+89,author:alan moore
+90,author:neil gaiman
+91,autism
+92,aviation
+93,awesome
+94,awesome soundtrack
+95,awful
+96,bad
+97,bad acting
+98,bad cgi
+99,bad ending
+100,bad plot
+101,bad science
+102,bad script
+103,bad sequel
+104,ballet
+105,bank robbery
+106,baseball
+107,based on a book
+108,based on a comic
+109,based on a play
+110,based on a true story
+111,based on a tv show
+112,based on a video game
+113,based on book
+114,based on comic
+115,based on true story
+116,basketball
+117,batman
+118,bdsm
+119,beatles
+120,beautiful
+121,beautiful scenery
+122,beautifully filmed
+123,beauty pageant
+124,beer
+125,berlin
+126,best of 2005
+127,best war films
+128,betrayal
+129,better than expected
+130,better than the american version
+131,biblical
+132,big budget
+133,biographical
+134,biography
+135,biopic
+136,birds
+137,biting
+138,bittersweet
+139,bizarre
+140,black and white
+141,black comedy
+142,blaxploitation
+143,bleak
+144,blindness
+145,blood
+146,bloody
+147,boarding school
+148,boat
+149,bollywood
+150,bombs
+151,bond
+152,book
+153,book was better
+154,books
+155,boring
+156,boring!
+157,boston
+158,bowling
+159,boxing
+160,brainwashing
+161,brazil
+162,breathtaking
+163,brilliant
+164,british
+165,british comedy
+166,broadway
+167,brothers
+168,brutal
+169,brutality
+170,buddy movie
+171,bullshit history
+172,bullying
+173,business
+174,c.s. lewis
+175,california
+176,camp
+177,campy
+178,canada
+179,cancer
+180,cannibalism
+181,caper
+182,capitalism
+183,car chase
+184,carrie-anne moss
+185,cars
+186,cartoon
+187,casino
+188,catastrophe
+189,cathartic
+190,catholicism
+191,censorship
+192,cerebral
+193,cgi
+194,character study
+195,chase
+196,cheating
+197,cheerleading
+198,cheesy
+199,chess
+200,chicago
+201,chick flick
+202,child abuse
+203,childhood
+204,children
+205,china
+206,chocolate
+207,chris tucker
+208,christian
+209,christianity
+210,christmas
+211,cia
+212,cinematography
+213,circus
+214,civil war
+215,classic
+216,classic car
+217,classical music
+218,claustrophobic
+219,claymation
+220,clever
+221,clones
+222,cloning
+223,clowns
+224,coen bros
+225,coen brothers
+226,cold war
+227,college
+228,colonialism
+229,colourful
+230,comedy
+231,comic
+232,comic book
+233,comic book adaption
+234,comics
+235,coming of age
+236,coming-of-age
+237,communism
+238,compassionate
+239,competition
+240,complex
+241,complex characters
+242,complicated
+243,complicated plot
+244,computer animation
+245,computer game
+246,computers
+247,con artists
+248,con men
+249,confrontational
+250,confusing
+251,conspiracy
+252,conspiracy theory
+253,controversial
+254,cooking
+255,cool
+256,corny
+257,corporate america
+258,corruption
+259,costume drama
+260,courage
+261,court
+262,courtroom
+263,courtroom drama
+264,crappy sequel
+265,crazy
+266,creativity
+267,creepy
+268,crime
+269,crime gone awry
+270,criterion
+271,cross dressing
+272,crude humor
+273,cuba
+274,cult
+275,cult classic
+276,cult film
+277,culture clash
+278,cute
+279,cute!
+280,cyberpunk
+281,cyborgs
+282,cynical
+283,dance
+284,dancing
+285,dark
+286,dark comedy
+287,dark fantasy
+288,dark hero
+289,dark humor
+290,dc comics
+291,deadpan
+292,death
+293,death penalty
+294,demons
+295,depp & burton
+296,depressing
+297,depression
+298,desert
+299,destiny
+300,detective
+301,devil
+302,dialogue
+303,dialogue driven
+304,dinosaurs
+305,directorial debut
+306,disability
+307,disappointing
+308,disaster
+309,disney
+310,disney animated feature
+311,distopia
+312,disturbing
+313,divorce
+314,doctors
+315,documentary
+316,dog
+317,dogs
+318,dolphins
+319,downbeat
+320,dr. seuss
+321,dragon
+322,dragons
+323,drama
+324,dramatic
+325,dreamlike
+326,dreams
+327,dreamworks
+328,drinking
+329,drug abuse
+330,drug addiction
+331,drugs
+332,dumb
+333,dumb but funny
+334,dynamic cgi action
+335,dysfunctional family
+336,dystopia
+337,dystopic future
+338,earnest
+339,easily confused with other movie(s) (title)
+340,east germany
+341,eccentricity
+342,ecology
+343,educational
+344,eerie
+345,effects
+346,egypt
+347,emma watson
+348,emotional
+349,end of the world
+350,england
+351,enigmatic
+352,ennio morricone
+353,enormously long battle scene
+354,ensemble cast
+355,entertaining
+356,entirely dialogue
+357,environment
+358,environmental
+359,epic
+360,erotic
+361,espionage
+362,ethnic conflict
+363,evolution
+364,excellent
+365,excellent script
+366,exceptional acting
+367,exciting
+368,existentialism
+369,explosions
+370,factual
+371,fairy tale
+372,fairy tales
+373,fake documentary
+374,family
+375,family bonds
+376,family drama
+377,fantasy
+378,fantasy world
+379,farce
+380,fascism
+381,fashion
+382,fast paced
+383,father daughter relationship
+384,father son relationship
+385,father-son relationship
+386,fbi
+387,feel good movie
+388,feel-good
+389,fight scenes
+390,fighting
+391,fighting the system
+392,figure skating
+393,film noir
+394,finnish
+395,firefly
+396,first contact
+397,fish
+398,flashbacks
+399,food
+400,football
+401,forceful
+402,foreign
+403,foul language
+404,fountain of youth
+405,france
+406,franchise
+407,francis ford copolla
+408,free speech
+409,free to download
+410,freedom
+411,french
+412,friendship
+413,frightening
+414,fun
+415,fun movie
+416,funniest movies
+417,funny
+418,funny as hell
+419,future
+420,futuristic
+421,gambling
+422,gangs
+423,gangster
+424,gangsters
+425,gay
+426,gay character
+427,geek
+428,geeks
+429,genetics
+430,genius
+431,genocide
+432,george orwell
+433,german
+434,germany
+435,ghosts
+436,ghosts/afterlife
+437,giant robots
+438,gilliam
+439,girlie movie
+440,glbt
+441,global warming
+442,god
+443,golden palm
+444,golf
+445,good
+446,good acting
+447,good action
+448,good dialogue
+449,good music
+450,good romantic comedies
+451,good sequel
+452,good soundtrack
+453,good story
+454,good versus evil
+455,goofy
+456,gore
+457,goretastic
+458,gory
+459,goth
+460,gothic
+461,graphic design
+462,graphic novel
+463,gratuitous violence
+464,great
+465,great acting
+466,great cinematography
+467,great dialogue
+468,great ending
+469,great movie
+470,great music
+471,great soundtrack
+472,greed
+473,grim
+474,grindhouse
+475,gritty
+476,gross-out
+477,gruesome
+478,guilt
+479,guilty pleasure
+480,gulf war
+481,gunfight
+482,guns
+483,gypsy accent
+484,hackers
+485,hacking
+486,halloween
+487,hallucinatory
+488,handycam
+489,hannibal lecter
+490,happy ending
+491,hard to watch
+492,harry potter
+493,harsh
+494,haunted house
+495,hawaii
+496,heartbreaking
+497,heartwarming
+498,heist
+499,heroin
+500,heroine
+501,heroine in tight suit
+502,high fantasy
+503,high school
+504,highly quotable
+505,hilarious
+506,hillarious
+507,hip hop
+508,historical
+509,history
+510,hit men
+511,hitchcock
+512,hitman
+513,holiday
+514,hollywood
+515,holocaust
+516,homeless
+517,homophobia
+518,homosexuality
+519,honest
+520,hong kong
+521,horrible
+522,horror
+523,horses
+524,hospital
+525,hostage
+526,hotel
+527,humanity
+528,humor
+529,humorous
+530,hunting
+531,idealism
+532,identity
+533,idiotic
+534,imaginary friend
+535,imagination
+536,imdb top 250
+537,immigrants
+538,immortality
+539,incest
+540,independent film
+541,india
+542,indiana jones
+543,indians
+544,indie
+545,infidelity
+546,innocence lost
+547,insanity
+548,inspirational
+549,inspiring
+550,intellectual
+551,intelligent
+552,intelligent sci-fi
+553,intense
+554,interesting
+555,internet
+556,interracial romance
+557,intimate
+558,investigation
+559,iran
+560,iraq
+561,iraq war
+562,ireland
+563,irish
+564,irish accent
+565,ironic
+566,irreverent
+567,islam
+568,island
+569,isolation
+570,israel
+571,italian
+572,italy
+573,james bond
+574,jane austen
+575,japan
+576,japanese
+577,jay and silent bob
+578,jazz
+579,jesus
+580,jewish
+581,jews
+582,journalism
+583,judaism
+584,jungle
+585,justice
+586,kick-butt women
+587,kidnapping
+588,kids
+589,kids and family
+590,king arthur
+591,kubrick
+592,kung fu
+593,kurosawa
+594,lame
+595,las vegas
+596,latin america
+597,lawyer
+598,lawyers
+599,lesbian
+600,life
+601,life & death
+602,life philosophy
+603,light
+604,lions
+605,literary adaptation
+606,literature
+607,liv tyler
+608,london
+609,lone hero
+610,loneliness
+611,long
+612,los angeles
+613,love
+614,love story
+615,love triangles
+616,low budget
+617,lynch
+618,lyrical
+619,macabre
+620,mad scientist
+621,made for tv
+622,mafia
+623,magic
+624,magic realism
+625,male nudity
+626,man versus machine
+627,manipulation
+628,marijuana
+629,marriage
+630,mars
+631,martial arts
+632,marvel
+633,marx brothers
+634,masterpiece
+635,math
+636,mathematics
+637,maze
+638,medieval
+639,meditative
+640,melancholic
+641,melancholy
+642,memory
+643,memory loss
+644,mental hospital
+645,mental illness
+646,mentor
+647,metaphysics
+648,mexico
+649,middle east
+650,midlife crisis
+651,military
+652,mindfuck
+653,mining
+654,minnesota
+655,mission from god
+656,mistaken identity
+657,miyazaki
+658,mob
+659,mockumentary
+660,modern fantasy
+661,money
+662,monkey
+663,monster
+664,monsters
+665,monty python
+666,moody
+667,moon
+668,moral ambiguity
+669,morality
+670,mother daughter relationship
+671,mother-son relationship
+672,motorcycle
+673,mountain climbing
+674,movie business
+675,movielens top pick
+676,moving
+677,mozart
+678,mtv
+679,multiple storylines
+680,mummy
+681,muppets
+682,murder
+683,murder mystery
+684,music
+685,music business
+686,musical
+687,musicians
+688,mutants
+689,mystery
+690,mythology
+691,narrated
+692,nasa
+693,native americans
+694,natural disaster
+695,nature
+696,nazi
+697,nazis
+698,neil gaiman
+699,neo-nazis
+700,neo-noir
+701,nerds
+702,new jersey
+703,new orleans
+704,new york
+705,new york city
+706,new zealand
+707,ninja
+708,no dialogue
+709,no plot
+710,nocturnal
+711,noir
+712,noir thriller
+713,non-hollywood ending
+714,non-linear
+715,nonlinear
+716,nostalgia
+717,nostalgic
+718,not as good as the first
+719,not funny
+720,notable nudity
+721,notable soundtrack
+722,nuclear
+723,nuclear bomb
+724,nuclear war
+725,nudity
+726,nudity (full frontal - brief)
+727,nudity (full frontal - notable)
+728,nudity (full frontal)
+729,nudity (rear)
+730,nudity (topless - brief)
+731,nudity (topless - notable)
+732,nudity (topless)
+733,obsession
+734,ocean
+735,off-beat comedy
+736,office
+737,oil
+738,olympics
+739,ominous
+740,opera
+741,organized crime
+742,original
+743,original plot
+744,orphans
+745,oscar
+746,oscar (best actor)
+747,oscar (best actress)
+748,oscar (best animated feature)
+749,oscar (best cinematography)
+750,oscar (best directing)
+751,oscar (best editing)
+752,oscar (best effects - visual effects)
+753,oscar (best foreign language film)
+754,oscar (best music - original score)
+755,oscar (best music - original song)
+756,oscar (best picture)
+757,oscar (best sound)
+758,oscar (best supporting actor)
+759,oscar (best supporting actress)
+760,oscar (best writing - screenplay written directly for the screen)
+761,oscar winner
+762,over the top
+763,overrated
+764,palestine
+765,parallel universe
+766,paranoia
+767,paranoid
+768,parenthood
+769,paris
+770,parody
+771,passionate
+772,penguins
+773,perfect
+774,period piece
+775,peter pan
+776,pg
+777,pg-13
+778,philip k. dick
+779,philosophical
+780,philosophy
+781,photographer
+782,photography
+783,pigs
+784,pirates
+785,pixar
+786,pixar animation
+787,plot
+788,plot holes
+789,plot twist
+790,poetry
+791,poignant
+792,pointless
+793,poker
+794,poland
+795,police
+796,police corruption
+797,police investigation
+798,political
+799,political corruption
+800,politics
+801,pornography
+802,post apocalyptic
+803,post-apocalyptic
+804,potential oscar nom
+805,poverty
+806,powerful ending
+807,predictable
+808,pregnancy
+809,prejudice
+810,prequel
+811,president
+812,pretentious
+813,prison
+814,prison escape
+815,private detective
+816,product placement
+817,prohibition
+818,propaganda
+819,prostitution
+820,psychedelic
+821,psychiatrist
+822,psychiatry
+823,psychological
+824,psychology
+825,pulp
+826,punk
+827,puppets
+828,queer
+829,quirky
+830,quotable
+831,rabbits
+832,race
+833,race issues
+834,racing
+835,racism
+836,radio
+837,rags to riches
+838,rape
+839,rats
+840,realistic
+841,realistic action
+842,reality tv
+843,rebellion
+844,redemption
+845,reflective
+846,relationships
+847,religion
+848,remade
+849,remake
+850,revenge
+851,revolution
+852,ridiculous
+853,rio de janeiro
+854,road movie
+855,road trip
+856,roald dahl
+857,robbery
+858,robert downey jr
+859,robert ludlum
+860,robot
+861,robots
+862,rock and roll
+863,romance
+864,romantic
+865,romantic comedy
+866,rome
+867,runaway
+868,russia
+869,russian
+870,sacrifice
+871,sad
+872,sad but good
+873,samurai
+874,san francisco
+875,sappy
+876,sarcasm
+877,satire
+878,satirical
+879,saturday night live
+880,saturn award (best science fiction film)
+881,saturn award (best special effects)
+882,scary
+883,scenic
+884,schizophrenia
+885,school
+886,sci fi
+887,sci-fi
+888,science
+889,science fiction
+890,scifi
+891,scifi cult
+892,scotland
+893,screwball
+894,screwball comedy
+895,script
+896,secret service
+897,secrets
+898,segregation
+899,self discovery
+900,sentimental
+901,sequel
+902,sequels
+903,serial killer
+904,series
+905,sex
+906,sex comedy
+907,sexual
+908,sexual abuse
+909,sexuality
+910,sexualized violence
+911,sexy
+912,shakespeare
+913,shallow
+914,shark
+915,shopping
+916,short
+917,short-term memory loss
+918,silent
+919,silly
+920,silly fun
+921,simple
+922,single father
+923,sisters
+924,skinhead
+925,slackers
+926,slapstick
+927,slasher
+928,slavery
+929,slow
+930,slow paced
+931,small town
+932,snakes
+933,so bad it's funny
+934,so bad it's good
+935,soccer
+936,social commentary
+937,solitude
+938,sophia coppola
+939,south africa
+940,south america
+941,southern theme
+942,space
+943,space opera
+944,space program
+945,space travel
+946,spaghetti western
+947,spain
+948,spanish
+949,spanish civil war
+950,special
+951,special effects
+952,spelling bee
+953,spiders
+954,spielberg
+955,spies
+956,splatter
+957,spock
+958,spoof
+959,sports
+960,spy
+961,spying
+962,stage magic
+963,stand-up comedy
+964,star trek
+965,star wars
+966,steampunk
+967,stereotypes
+968,stoner movie
+969,stop motion
+970,stop-motion
+971,story
+972,storytelling
+973,stranded
+974,strange
+975,strippers
+976,studio ghibli
+977,stunning
+978,stupid
+979,stupid as hell
+980,stupidity
+981,stylish
+982,stylized
+983,submarine
+984,suburbia
+985,suicide
+986,suicide attempt
+987,super hero
+988,super-hero
+989,superhero
+990,superheroes
+991,supernatural
+992,suprisingly clever
+993,surfing
+994,surprise ending
+995,surreal
+996,surrealism
+997,surveillance
+998,survival
+999,suspense
+1000,suspenseful
+1001,swashbuckler
+1002,swedish
+1003,sweet
+1004,switching places
+1005,sword fight
+1006,sword fighting
+1007,talking animals
+1008,talky
+1009,tarantino
+1010,teacher
+1011,tear jerker
+1012,technology
+1013,teen
+1014,teen movie
+1015,teenager
+1016,teenagers
+1017,teens
+1018,teleportation
+1019,television
+1020,tense
+1021,terminal illness
+1022,terrorism
+1023,texas
+1024,thought-provoking
+1025,thriller
+1026,time
+1027,time loop
+1028,time travel
+1029,tokyo
+1030,tolkien
+1031,tom clancy
+1032,too long
+1033,too short
+1034,torture
+1035,touching
+1036,toys
+1037,tragedy
+1038,train
+1039,trains
+1040,transformation
+1041,transgender
+1042,travel
+1043,treasure
+1044,treasure hunt
+1045,tricky
+1046,trilogy
+1047,true story
+1048,truman capote
+1049,twist
+1050,twist ending
+1051,twists & turns
+1052,undercover cop
+1053,underdog
+1054,underrated
+1055,understated
+1056,underwater
+1057,unfunny
+1058,unintentionally funny
+1059,unique
+1060,united nations
+1061,unlikeable characters
+1062,unlikely friendships
+1063,unrealistic
+1064,unusual plot structure
+1065,us history
+1066,utopia
+1067,vampire
+1068,vampire human love
+1069,vampires
+1070,vengeance
+1071,very funny
+1072,very good
+1073,very interesting
+1074,video game
+1075,video game adaptation
+1076,video games
+1077,videogame
+1078,vienna
+1079,vietnam
+1080,vietnam war
+1081,view askew
+1082,vigilante
+1083,vigilantism
+1084,violence
+1085,violent
+1086,virginity
+1087,virtual reality
+1088,virus
+1089,visceral
+1090,visual
+1091,visually appealing
+1092,visually stunning
+1093,visuals
+1094,voodoo
+1095,voyeurism
+1096,war
+1097,war movie
+1098,wartime
+1099,waste of time
+1100,watch the credits
+1101,weapons
+1102,wedding
+1103,weed
+1104,weird
+1105,werewolf
+1106,werewolves
+1107,western
+1108,whimsical
+1109,wilderness
+1110,wine
+1111,wistful
+1112,witch
+1113,witches
+1114,witty
+1115,wizards
+1116,women
+1117,working class
+1118,workplace
+1119,world politics
+1120,world war i
+1121,world war ii
+1122,writer's life
+1123,writers
+1124,writing
+1125,wuxia
+1126,wwii
+1127,zombie
+1128,zombies

movielens_25m/ml-25m/ratings.csv

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+size 678260987

movielens_25m/ml-25m/tags.csv

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+size 38810332

movielens_25m/notes.md

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+Contains `ml-25m/`, a dir containing unzipped direct files
+
+See https://grouplens.org/datasets/movielens/

navigatingsensitivity/.gitignore

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+*.csv
+*.pkl
+
+ml-25m

navigatingsensitivity/ao3_interaction_table.csv

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+size 1119132593

navigatingsensitivity/ao3_sensitivity_table.csv

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navigatingsensitivity/ddd_dict.pkl

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+version https://git-lfs.github.com/spec/v1
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+size 137585391

navigatingsensitivity/notes.md

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+Dataset from
+https://huggingface.co/datasets/sdeangroup/NavigatingSensitivity
+
+Dataset information at
+https://github.com/sdean-group/Navigating-Sensitivity

navigatingsensitivity_rename/ddd_rename.csv

@@ -0,0 +1,141 @@
+name_old,name_rewrite,20251222_ddd_name,20251222_ddd_supporters,20251222_ddd_description,is_in_50v50
+Does a horse die,a horse dies,a horse dies,0,"This trigger is for people who are upset by the death of a horse. Horses are often seen as majestic creatures, and their death can be a difficult scene to watch, especially for animal lovers or horse enthusiasts. ",y
+Does the dog die,the dog dies,a dog dies,678,"This trigger is for people who are upset by the death of a canine companion. Dogs are often portrayed as loyal friends in films, and their death can be very triggering. ",y
+Are animals abused,animals are abused,animals are abused,1,"This trigger is for viewers who are disturbed by scenes of animal cruelty or violence. This can include physical abuse, neglect, or forced fighting. ",y
+Does a pet die,a pet dies,a pet dies,245,"This trigger is a broader category encompassing the death of any animal companion, including dogs, cats, rabbits, hamsters, etc. ",y
+Is there dog fighting,there is dog fighting,there's dog fighting,188,Dog fighting is a cruel and illegal activity that involves forcing dogs to fight each other. Even depictions of dog fighting can be very disturbing. ,y
+Are there bugs,there are bugs,there are bugs,45,"This trigger is for people with entomophobia, a fear of insects. Even brief appearances of bugs can cause anxiety and distress. ",y
+Is there a dead animal,there is a dead animal,there's a dead animal,1,This trigger is for viewers who are generally disturbed by the sight of dead animals on screen. ,y
+Does a dragon die,a dragon dies,a dragon dies,1,"This trigger is for viewers who may be attached to a fictional creature's well-being, even if it's a fantasy element like a dragon. This can be especially true if the dragon is portrayed as a sympathetic character. ",y
+Does a cat die,a cat dies,a cat dies,1,"This trigger is for people who are upset by the death of a feline companion. Cats can form strong bonds with their owners, and their death on screen can be emotionally difficult to watch. ",y
+Does an animal die,an animal dies,"an animal dies (besides a dog, cat, or horse)",1,This trigger is a broader category encompassing the death of any animal depicted on screen. It's useful for viewers who are sensitive to animal death in general. ,y
+Are there snakes,there are snakes,there are snakes,25,"This trigger is for people with ophidiophobia, a fear of snakes. Even brief appearances of snakes can cause anxiety and distress for some viewers. ",y
+Are there spiders,there are spiders,there are spiders,75,"This trigger is for people with arachnophobia, a fear of spiders. Even brief appearances of spiders can cause anxiety and distress for some viewers. ",y
+Is a child abandoned by a parent,a child is abandoned by a parent,a child is abandoned by a parent or guardian,45,"This trigger is for individuals who have experienced or fear abandonment, particularly in childhood. It can evoke strong emotional responses related to loss, fear, and insecurity.",y
+Is someone gaslighted,someone is gaslighted,someone gets gaslighted,1,Gaslighting is a form of psychological manipulation where a person is made to question their own sanity or perception of reality. This trigger can be distressing for survivors of emotional abuse and those who are particularly vulnerable to manipulation. ,y
+Does the abused become the abuser,the abused becomes the abuser,the abused becomes the abuser,34,"This trigger depicts a cycle of violence where a victim of abuse becomes the perpetrator. It can be triggering for survivors of abuse who struggle with feelings of guilt or shame, or those who fear repeating the cycle. ",n
+Is someone stalked,someone is stalked,someone is stalked,25,Stalking is a pattern of unwanted and intrusive behavior that can cause fear and anxiety. This trigger can be distressing for survivors of stalking and those who have experienced harassment or threats. ,y
+Is a child abused,a child is abused,there's child abuse,1,"This trigger specifically focuses on the abuse of children, which can be particularly disturbing and upsetting. It can be triggering for survivors of child abuse, those who work with children, and individuals who have a strong protective instinct towards children. ",y
+Is there domestic violence,there is domestic violence,there's domestic violence,1,"This trigger encompasses a range of abusive behaviors within intimate relationships, including physical, emotional, sexual, and financial abuse. It can be triggering for survivors of domestic violence and those who have witnessed or experienced unhealthy relationships. ",y
+Is there addiction,there is addiction,there's addiction,0,"This trigger refers to the broader concept of addiction, encompassing various behaviors beyond substance abuse. This includes process addictions such as gambling, sex addiction, workaholism, and other compulsive behaviors. It can be triggering for individuals struggling with any form of addiction or those supporting someone with an addiction. ",y
+Does someone use drugs,someone uses drugs,someone uses drugs,14,"This trigger encompasses the use of various illicit substances and can be distressing for people recovering from drug addiction, those with family members struggling with addiction, or individuals concerned about the negative impacts of drug use. ",y
+Does someone abuse alcohol,someone abuses alcohol,alcohol abuse,24,"This trigger involves depictions of excessive or harmful alcohol consumption, which can be triggering for individuals struggling with alcohol addiction or those affected by alcoholism. ",y
+Is someone drugged,someone is drugged,someone is drugged,42,A character is unknowingly given a substance that alters their mental or physical state without their consent. ,y
+Is someone restrained,someone is restrained,someone is restrained,39,A character is physically prevented from moving freely through the intentional use of force or physical barriers. ,y
+Is someone sexually assaulted,someone is sexually assaulted,someone is sexually assaulted,1,A character is sexually assaulted or harassed. ,y
+Is someone raped onscreen,someone is raped onscreen,someone is sexually assaulted onscreen,1,A character is raped on screen,y
+Is there cannibalism,there is cannibalism,there's cannibalism,50,Depictions of humans consuming human flesh. ,y
+Is there body horror,there is body horror,there's body horror,1,"Does some sort of experimentation, mutations, or other event happen that warps the body. Graphic and disturbing depictions of physical bodies. ",y
+Is there amputation,there is amputation,there's amputation,48,Depictions of limbs being removed. ,y
+Is there finger/toe mutilation,there is finger/toe mutilation,there's finger/toe mutilation,1,Depictions of injuries to fingers or toes. ,y
+Is someone crushed to death,someone is crushed to death,someone is crushed to death,48,Depictions of a person being compressed to death by extreme force. ,y
+Is there Achilles Tendon injury,there is Achilles Tendon injury,there's Achilles Tendon injury,1,Depictions of injuries to the Achilles tendon. ,y
+Does a head get squashed,a head gets squashed,heads get squashed,77,Graphic depictions of heads being crushed or compressed. ,y
+Is someone burned alive,someone is burned alive,someone is burned alive,1,Depictions of a person being consumed by fire. ,y
+Is someone buried alive,someone is buried alive,someone is buried alive,1,Depictions of a person being buried while still alive. ,y
+Is there a hanging,there is a hanging,there are hangings,60,Depictions of people suspended by a rope or other object around the neck. ,y
+Is there eye mutilation,there is eye mutilation,there's eye mutilation,1,Graphic depictions of injuries to eyes. ,y
+Is someone tortured,someone is tortured,there's torture,119,Depictions of inflicting severe pain or suffering. ,y
+Is there excessive gore,there is excessive gore,there's excessive gore,132,"Overwhelming amounts of blood, violence, and bodily fluids. ",y
+Is there shaving/cutting,there is shaving/cutting,there's shaving/cutting,55,Depictions of self-harm or other cutting actions. ,y
+Are any teeth damaged,there are teeth damaged,teeth are damaged,1,Depictions of injuries to teeth. ,y
+Is there genital trauma/mutilation,there is genital trauma/mutilation,there's genital trauma/mutilation,1,Graphic depictions of injuries to genitalia. ,y
+Does someone asphyxiate,someone asphyxiates,someone asphyxiates,39,"A person is deprived of oxygen, leading to unconsciousness or death. ",y
+Does someone struggle to breathe,someone struggles to breathe,someone struggles to breathe,1,"Choking, suffocation, strangling, hyperventilating, and other depictions of difficulty in breathing. ",y
+Does someone becomes unconscious,someone becomes unconscious,Someone becomes unconscious,12,"A person loses consciousness due to injury, illness, or other causes. ",y
+Does someone break a bone,someone breaks a bone,someone breaks a bone,1,Depictions of bone fractures. ,y
+Does someone have a seizure,someone has a seizure,someone has a seizure,25,Depictions of uncontrolled electrical activity in the brain. ,y
+Does someone fall to their death,someone falls to their death,someone falls to their death,20,Depictions of a fatal fall. ,y
+Does someone fall down stairs,someone falls down stairs,someone falls down stairs,20,Depictions of a person falling down a flight of stairs. ,y
+Is an infant abducted,an infant is abducted,an infant is abducted,35,Depictions of a baby or infant being taken away without permission. ,y
+Is a minor sexualized,a minor is sexualized,a minor is sexualized,129,"Depictions of children in a sexual manner, including suggestive poses, clothing, or language. ",y
+Does a kid die,a kid dies,a kid dies,103,"Depictions of a child's death, whether accidental, intentional, or from illness. ",y
+Does someone sacrifice themselves,someone sacrifices themselves,someone sacrifices themselves,19,A character intentionally dies to save others. ,y
+Does a non-human character die,a non-human character dies,a non-human character dies,49,The death of an animal or fictional creature. ,n
+Is the R word used,the r-word is used,the r-slur is used,39,The use of a derogatory term against people with intellectual disabilities. ,y
+Does someone overdose,someone overdoses,someone overdoses,24,A person dies or becomes seriously ill due to taking an excessive amount of a substance. ,y
+Does someone cheat,someone cheats,someone cheats,30,"A romantic partner engages in infidelity, causing betrayal, heartbreak, and relationship breakdown.",y
+Does a parent die,a parent dies,a parent dies,36,"The death of a parent, leading to profound emotional trauma and life changes. ",y
+Is a child's toy destroyed,a child's toy is destroyed,A child's dear toy is destroyed,1,"The loss of a beloved toy, symbolizing emotional security and comfort.",y
+Is someone kidnapped,someone is kidnapped,someone is kidnapped,14,"A family member is taken away against their will, leading to fear, anxiety, and trauma. ",y
+Are there razors,there are razors,there are razors,26,"Depictions of sharp blades, often associated with danger and self-harm.",y
+Are there mannequins,there are mannequins,there are mannequins,7,"Depictions of life-sized human models, often associated with uncanny valley and unease.",y
+Is there a shower scene,there is a shower scene,there are shower scenes,15,,y
+Are there ghosts,there are ghosts,there's ghosts,7,"Depictions of spirits of the dead, often associated with haunting and supernatural phenomena. ",y
+Is someone possessed,someone is possessed,someone is possessed,21,A person is controlled by a supernatural or evil entity.,y
+Are there clowns,there are clowns,there are clowns,18,"Depictions of clowns, often associated with childhood trauma and fear. ",y
+Are there jumpscares,there are jumpscares,there are jump scares,1,Sudden and unexpected moments of startling noise or visual effects. ,y
+Is there audio gore,there is audio gore,There's audio gore,64,"Sound effects that depict violence, injury, or bodily fluids. ",y
+Does someone fart or spit,someone farts or spits,"there's farting
+there's spitting","18
+20","Depictions of flatulence. 
+Depictions of a person expelling saliva. ",y
+Does someone wet/soil themselves,someone wets/soils themselves,someone wets/soils themselves,31,Depictions of a person urinating or defecating on themselves or in their pants. ,y
+Does someone vomit,someone vomits,someone vomits,162,Depictions of a person expelling stomach contents.,y
+Are there 9/11 depictions,there are 9/11 depictions,there are 9/11 depictions,7,Depictions of the September 11th terrorist attacks. ,n
+Is there copaganda,there is copaganda,there is copaganda,1,"Propaganda that portrays law enforcement in a positive light, often ignoring or downplaying issues of police misconduct. ",y
+Is there bisexual cheating,there is bisexual cheating,there's bisexual cheating,1,Depictions of infidelity involving a bisexual person.,n
+Is there a hospital scene,there is a hospital scene,there's a hospital scene,1,Scenes set in a hospital environment. ,y
+Are needles/syringes used,needles/syringes are used,needles/syringes are used,1,The use of sharp objects to inject or withdraw substances. ,y
+Does someone have cancer,someone has cancer,someone has cancer,1,Depictions of a person diagnosed with cancer. ,y
+Is there a mental institution scene,there is a mental institution scene,there's a mental institution scene,1,Scenes set in a psychiatric facility. ,y
+Is electro-therapy used,electro-therapy is used,electro-therapy is used,1,The use of electrical current to treat medical conditions. ,y
+Does someone die by suicide,someone dies by suicide,someone dies by suicide,1,Depictions of a person taking their own life. ,y
+Does someone suffer from PTSD,someone suffers from PTSD,someone suffers from PTSD,40,Depictions of individuals experiencing post-traumatic stress disorder. ,y
+Is a mentally ill person violent,there is a mentally ill person violent,a mentally ill person is violent,46,Portraying individuals with mental illnesses as inherently dangerous or violent.,y
+Is there autism specific abuse,there is autism specific abuse,Autism specific abuse,1,Abuse targeting individuals with autism spectrum disorder.,y
+Is there body dysmorphia,there is body dysmorphia,there's body dysmorphia,1,Depictions of individuals with an excessive preoccupation with perceived flaws in their appearance.,y
+Is there misophonia,there is misophonia,there's misophonia,45,"Scenes that trigger misophonia, such as repetitive sounds, eating noises, or other sounds that can be intensely irritating. ",y
+Is there body dysphoria,there is body dysphoria,there's body dysphoria,1,"Depictions of a mismatch between a person's physical sex and their gender identity, otr otherwise feeling dissatisfied with their own bodies.",n
+Are there anxiety attacks,there are anxiety attacks,someone has an anxiety attack,1,A person experiences a sudden surge of intense fear or discomfort.,y
+Does someone have an eating disorder,someone has an eating disorder,someone has an eating disorder,1,Depictions of individuals with disordered eating patterns. ,y
+Does someone attempt suicide,someone attempts suicide,Someone attempts suicide,1,Depictions of a person attempting to take their own life.,y
+Is there a claustrophobic scene,there is a claustrophobic scene,there's a claustrophobic scene,29,Depictions of confined spaces that can trigger fear or anxiety in individuals with claustrophobia. ,y
+Is there D.I.D. misrepresentation,there is D.I.D. misrepresentation,D.I.D. Misrepresentation,26,Inaccurate or stereotypical depictions of dissociative identity disorder.,n
+Does someone self harm,someone self harms,someone self harms,1,Depictions of individuals intentionally causing harm to themselves. ,y
+"Does someone say ""I'll kill myself""'","someone says ""I'll kill myself""","someone says ""I'll kill myself""",39,Expressions of suicidal ideation. ,y
+Does a baby cry,a baby cries,a baby cries,1,"Depictions of a crying infant, which can be irritating or distressing for some viewers. ",y
+Is there obscene language/gestures,there is obscene language/gestures,there is obscene language/gestures,11,Offensive or vulgar language or gestures that can be disturbing or offensive. ,y
+Are there flashing lights or images,there are flashing lights or images,there's flashing lights or images,62,Rapidly flashing lights or images that can trigger seizures or discomfort in some viewers. ,y
+Is there shakey cam,there is shakey cam,shaky cam is used,61,A handheld camera technique that can create a sense of disorientation or unease. ,y
+Is the fourth wall broken,the fourth wall is broken,the fourth wall is broken,13,"The character directly addresses the audience, blurring the lines between reality and fiction, which can be unsettling. ",y
+Are there abortions,there are abortions,someone has an abortion,26,The termination of a pregnancy. ,y
+Is a baby stillborn,a baby is stillborn,a baby is stillborn,50,The birth of a dead baby. ,y
+Are there babies or unborn children,there are babies or unborn children,there is a baby or unborn child,21,Depictions of a baby or unborn child. ,y
+Does a pregnant person die,a pregnant person dies,a pregnant person dies,37,The death of a pregnant individual. ,y
+Does someone miscarry,someone miscarries,someone miscarries,43,The spontaneous loss of a pregnancy before the 20th week. ,y
+Is there childbirth,there is childbirth,there's childbirth,1,Depictions of the process of giving birth. ,y
+Is there ableist language or behavior,there is ableist language or behavior,there's ableist language or behavior,1,Language or actions that discriminate against or stigmatize people with disabilities. ,y
+Are there homophobic slurs,there are homophobic slurs,there are homophobic slurs,1,The use of derogatory terms against LGBTQ+ individuals. ,y
+Is there antisemitism,there is antisemitism,there's antisemitism,1,Prejudice or discrimination against Jewish people. ,y
+Is there aphobia,there is aphobia,there's aphobia,27,Prejudice or discrimination against asexual people. ,n
+Are there n-words,there are n-words,someone says the n-word,1,The use of a racial slur against Black people. ,y
+Is someone misgendered,someone is misgendered,someone is misgendered,1,Using an incorrect gender pronoun or term to refer to a person. ,y
+Does an LGBT person die,an LGBT person dies,an LGBT person dies,1,"The death of an individual who identifies as lesbian, gay, bisexual, transgender, or queer. ",y
+Is a minority is misrepresented,a minority is misrepresented,a minority is misrepresented,38,Depictions of minority groups in a stereotypical or harmful way. ,y
+Is there hate speech,there is hate speech,someone speaks hate speech,1,The use of language that promotes hatred or violence against a particular group. ,y
+Does the black guy die first,the black guy dies first,the black guy dies first,1,A trope in which Black characters are disproportionately likely to die in media. ,y
+Are there fat jokes,there are fat jokes,there's fat jokes,1,Jokes that mock or ridicule people based on their weight. ,y
+"Are there ""Man in a dress"" jokes","there are ""Man in a dress"" jokes","there are ""Man in a dress"" jokes",1,Jokes that mock transgender women or men who do not conform to traditional gender roles. ,y
+Is there a large age gap,there is a large age gap,there's a large age gap,46,A significant difference in age between romantic partners. ,y
+Is there sexual content,there is sexual content,there is sexual content,82,Depictions of sexual acts or behaviors. ,y
+Are there nude scenes,there are nude scenes,there are nude scenes,64,Depictions of naked bodies. ,y
+Is there bestiality,there is bestiality,there's bestiality,115,Depictions of sexual acts involving animals. ,n
+Is someone sexually objectified,someone is sexually objectified,someone is sexually objectified,54,A person is treated as a sexual object rather than a human being. ,y
+Are there incestuous relationships,there are incestuous relationships,there are incestuous relationships,104,Sexual relationships between close family members. ,y
+Is a male character ridiculed for crying,a male character is ridiculed for crying,a male character is ridiculed for crying,1,Depictions of a male character being mocked or shamed for expressing emotions. ,y
+Does someone have a chronic illness,someone has a chronic illness,someone has a chronic illness,18,Depictions of individuals living with long-term health conditions. ,y
+Does someone have a stroke,someone has a stroke,someone has a stroke,20,"Depictions of individuals experiencing a stroke, a sudden loss of brain function. ",y
+Is there dementia/Alzheimer's,there is dementia/Alzheimer's,someone has dementia/Alzheimer's,35,Depictions of individuals with progressive cognitive decline. ,y
+Is someone homeless,someone is homeless,someone is homeless,5,Depictions of individuals without a permanent home. ,y
+Are there fat suits,there are fat suits,there's fat suits,37,The use of costumes to make actors appear overweight. ,n
+Does it have a sad ending,it has a sad ending,the ending is sad,80,A conclusion that evokes feelings of sadness or loss. ,y
+Is Santa (et al) spoiled,Santa (et al) is spoiled,Santa (et al) is spoiled,9,"Depictions of characters revealing the truth about fictional or mythical figures, such as Santa Claus, the Easter Bunny, or the Tooth Fairy, to children who believe in them. This can lead to disappointment, disillusionment, and a loss of innocence. ",y
+Does a car honk or tires screech,a car honks or tires screech,a car honks or tires screech,16,"Loud noises made by vehicles, which can be startling or irritating. ",y
+Does a car crash,a car crashes,a car crashes,33,Depictions of a car accident. ,y
+Does a plane crash,a plane crashes,a plane crashes,22,Depictions of an airplane accident. ,y
+Is someone hit by a car,someone is hit by a car,a person is hit by a car,31,Depictions of a person being struck by a vehicle. ,y
+Is there gun violence,there is gun violence,there's gun violence,40,Depictions of violence involving firearms. ,y
+Is there a nuclear explosion,there is a nuclear explosion,there's a nuclear explosion,15,Depictions of a powerful explosion caused by nuclear energy. ,y
+Is there blood/gore,there is blood/gore,there's blood/gore,74,"Depictions of blood, violence, and bodily fluids. ",y
+Does someone drown,someone drowns,someone drowns,42,Depictions of a person being submerged in water and unable to breathe. ,y

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