
# Dataset Card for SF Nexus Extracted Features: Full Texts

## Dataset Description

- **Homepage: https://sfnexus.io/** 
- **Repository: https://github.com/SF-Nexus/extracted-features-notebooks** 
- **Point of Contact: Alex Wermer-Colan**

### Dataset Summary

The SF Nexus Extracted Features Full Texts dataset contains text and metadata from 403 mid-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated. 
Each row of this dataset contains one text as well as metadata about that text's title, author and publication.

### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's [Temple page](https://babel.hathitrust.org/cgi/ls?field1=ocr;q1=%2A;a=srchls;facet=htsource%3A%22Temple%20University%22;pn=4) for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, ["Building a New Wave Science Fiction Corpus."](https://sites.temple.edu/tudsc/2017/12/20/building-new-wave-science-fiction-corpus/).

### Languages

English

## Dataset Structure

This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example: 

```
{'Unnamed': 7299,
 'Title': 'MILLENNIUM,
 'Author': 'VARLEY',
 'Pub Year': '1983',
 'Text': '"'All "A "All "As "As "Let's "Me, "Poor "The "The "When $15.86 '“All (And (Do (Flight (I (It’s (I’m (Made (See (This (Time (Well, (Who (blonde, (but (by (deceased) (flight (he (him) (if (in (not (one (or (sorry; (that’s (we’d (which (with (“What’re * * * * * * * * * * * * * * * , . . . . . . .. .. .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...” ...” ...” .1.. .38 .45 .ah, .can’t .hell, .it .take .that .that’s .the .transponder .uh, .uh, .uh, .well, .we’re .what / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /MILLENNIUM /MILLENNIUM 0-425-06250-3 1 1 1 1 1 10 10 10,000? 10. 10/MILLENNIUM 100/MILLENNIUM 10016. 101 102/MILLENNIUM 103 104/MILLENNIUM 105 106/MILLENNIUM 107 108/MILLENNIUM 109 10:30. 10:45 10th, 11 110/MILLENNIUM 111 112/MILLENNIUM 113 114/MILLENNIUM 115 116/MILLENNIUM 117 118/MILLENNIUM 119 11:30 11:30. 11:30. 11____________ 11th, 11th. 12, 12/MILLENNIUM 120/MILLENNIUM 121 122/MILLENNIUM 123 124/MILLENNIUM 125 126/MILLENNIUM 127 128 129 12:56.” 12_______________ 12th 12th, 12th. 13 13 13. 130/MILLENNIUM 131 132/MILLENNIUM 133 134 135 136/MILLENNIUM 137 138/MILLENNIUM 139 13th 13th. 14/MILLENNIUM 140/MILLENNIUM 141 142/ 143 144/MILLENNIUM 145 146 147 148 149 14_________________ 14th 15 150/MILLENNIUM 151 152/MILLENNIUM 153 154/MILLENNIUM 155 156 157 158/MILLENNIUM 159 15___________ 16 16-year-old 160/MILLENNIUM 161 162/MILLENNIUM 163 164/MILLENNIUM 165 166/MILLENNIUM 167 168 169 16______ 17 170/MILLENNIUM 171 172/MILLENNIUM 173 174/MILLENNIUM 175 176 177 178/MILLENNIUM 179 17______________ 18/MILLENNIUM 180/MILLENNIUM 181 182/MILLENNIUM 183 184 185 186/MILLENNIUM 187 188/MILLENNIUM 189 18_________ 19 190/MILLENNIUM 191 192. 192/MILLENNIUM 193 1930s, 194/MILLENNIUM 1941, 1942.” 195 1955 1955 1955 1955 1955 1955 1955, 1955, 1955, 1955, 1955,” 1955. 1955. 1955. 1955. 1955. 1955.” 1955.” 1955? 1958 196/MILLENNIUM 1968 1968. 1968. 197 1976. 1978, 1978. 198/MILLENNIUM 1980 1980s 1980s 1980s. 1980s. 1983 1983 1983 1983 1983, 199 1996, 1996—so 19_____________ 1:45. 20 20 200 200/MILLENNIUM 202 203 2034. 204 205 206 207 208 209 20th 20th 20th 20th 20th, 20th. 20ths 20ths 20ths, 20ths. 210/MILLENNIUM 212/MILLENNIUM 214/MILLENNIUM 216/MILLENNIUM 218/MILLENNIUM 22 220 222 223 224 225 226 227 228 229 23 230 2300 232 233 234 235 236 237 238 239 24 240 242 243 244 245 246 247 248 249 25 26 27 28 29 2_______________ 3 30 3000 3000 31 32 33 34 35 35 35 35 35 35 35 35 35 35 35. 35“ 36 37 38 39 3:13, 3:14, 3_________________ 4 40 40,000 42 43 44 45 46 47 48 49 4:30 4_____________ 5 50 5000 51 52/MILLENNIUM 53 54 55 55time, 56 57 58/MILLENNIUM 580, 580, 59 5_____________ 6 60 62 63 637 64 65 66 67 68 69 6___________ 7 7 7, 70 72 727 727’s 74 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747 747, 747, 747, 747. 747. 747. 747. 747. 747. 747; 747? 747—I 75 757,375 76 77 78 79 7:15. 8 80 81 82 83 84 85 86 87 88 880 880 880, 880’s 89 8__________________ 9 9 9 9 9 90 92 93 94 95 96 97 98 99 9:11 9:11 9:11,” 9:30. 9:56, 9___________ A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A&P? A&R A, A, A. ALPO?” AMERICA ARTCC ARTCC, ATC ATC ATC ATC’s ATC’s ATC’s, AUTHOR’S Abayta Abayta, Abayta. Abayta: Abayta: About About About About About About According Across Across Across Actually, Actually, Add Adelaide, Administration. Advise Africa After After After After After After After After After After After After Again Again Again, Again, Again, Against Age Age Age Age. Age. Agency. Agent Agent Age—or Ah, Ah... Air Air Air Air Air Air Air Air Air Air Air-Line Aircraft Airlines Airlines, Airlines, Airport Airport Airport, Airport, Airport. Airport. Airways. Alameda Alameda Alarms Albert Aldiss; Ali Ali Alka-Seltzer All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All All-Seeing Allison Almost Almost Along Alpha Alpha Also Also, Always Am Am Am Am Am Am Am Am Am Am Am Am, Am.” Am?” Ambler, Ambrose Amelia Amerenglish Amerenglish. Amerenglish; America. America. American American American American Amniocentesis. Among Among Amsterdam, Am—but Am’s An An An An An An An Anarchy And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And And, And, And: And: And: And: Anderson; Anderson; Andromeda Anet Angeles Angeles Angeles, Angeles, Angeles, Angeles. Angeles. Angels. Another Another Another Another Another Another Antarctica. Antennas Antoine's, Any Any Any Any Any Any Any Any Anybody Anything Anything. Anything.” Anyway, Apaches, Apparently Apparently Apparently Apparently Apparently Apparently, Apple, Aquarius). Arabia Archibald Archibald Are Are Are Are Area Area Area. Arizona Arizona Arizona Arizona Arizona Arizona, Arizona, Arizona, Arizona. Arizona. Ark Ark. Armenia Army Army Army Army Army. Arnold Arnold Arnold Arnold Arnold Arnold Arnold, Arnold, Arnold’s Arthur Arthur, As As As As As As As As As As As As As As As As As As As As As As As As As As As Aside Asimov. Assuming Astronauts At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At At Atlantic Atomic Attorney Author Avenue Avenue, Avenue, Aviation Aw, B B B, B. B. B. B. B. BALTIMORE, BART?” BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC BC, BC, BC. BC. BC. BC. BC. BC. BC’s BERKLEY BERKLEY BOOKS, BOOK® Babylonian Back Bad Baker. Bakersfield. Bali, Ball Ball Ball, Ball, Ball,” Ball. Ball.” Balls, Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore,’’ Baltimore. Baltimore. Baltimore... Baltimore?” Bamum Bangladesh. Bannister Bannister, Barbara. Barbara. Bars Batavia, Battleship Bauhaus Bay Bay Bay Bay Bay Bay Bay. Bay. Ba—” Be Because Because Because Because, Bee Before Before Before Before Before Before, Behind Behind Behold Behold Being Being, Believe Belli, Beltway Ben Bengalis Berkeley Berkley Berkley Berkley Berkley Berkley Berkley Bermuda Bermuda Berry Beside Better Better Better Beverly Bible Bierce Big Big Big Big Big Big Big Big Big Big Big Big Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill Bill, Bill, Bill,’’ Bill,’’ Bill,” Bill,” Bill,” Bill. Bill. Bill. Bill. Bill. Bill. Bill. Bill. Bill. Bill.” Bill.” Bill.” Bill; Bill? Bill’s Bill’s Bill’s Bill’s Biological, Bird Birds Birmingham Bite Bizarre? Black Board Board Board Board Board Board Board Board Board Board Board Board Board Board Board Board, Board. Board. Board. Board. Board.” Board.” Board?” Boeing Boeing Boeing Boeing Boeing Boeing Boers, Bogart Book Book Boston Boston, Boston. Both Both Both Both Both Both Both Bova, Bova’s Bradbury; Braille. Breaking Breathe Brest Brest Brest, Brian Bridge Briley Briley Briley Briley Briley Briley Briley Briley, Briley,” Briley,” Briley,” Briley. Briley. Briley. Briley. Briley?” Brilliant Brindle Brindle Brindle Brindle. Brindle.” Broken Brooklyn Brooklyn Brunner; Buddha. Budweiser Building. Building.” Bulova Bureau Bureau—which Burt, Business, But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But But, But, Butch By By By By By By By By By By By By" By,’ By” B—was C C C C, C, C. C. C. C. C. C. C. C. C. C. C. C. C. C. C... C.O. CBS CB’s. CHP CHP CHP CHP. CIA CVR CVR CVR CVR CVR CVR CVR CVR. CVR. CVR’s CVR’s. Caesarean Calcutta Calcutta-Benares. California California California California California California California California California California, California, California, California. California. California. California. California. California? Call Call Call Call Calm Came Came Camels Camels. Camp; Can Can Canal. Canary Canary Canary Candidate, Canyon Can’t Capetown, Captain Captain Captain Captain. Captain’s Carnegie Carole Carole Carole Carole Carole Carole. Carpenter Carpenter Carpenter Carpenter Carpenter Carpenter, Carpenter. Carpenter. Carpenter. Carpenter. Carpenter. Carpenter. Carpenter’s Carpenter’s Carson Carson Cary Cary Casablanca. Cassidy Catheters Causes Cecily, Censorship. Centauri, Centauri. Center Center Central Century Certain Cessna Chairman, Chairman’s Chalk Chamber Chamber, Chamber. Changes, Charge Charge.” Charity Charlie Charlie’s Chemical, Cheops Cherokees Cherokees, Chicago Chicago, Chicago. Chicago? Chief Chief Chief Chief China, China. Chinese Chinese Chinese Christ Christ! Christ, Christ. Christmas Christmas Christmas Christmas Christmas Christmas Christmas, Christmas. Chuck Chuck Cirocco. Civilization Civilizations Clarke; Claus Cleaver-of-Heads, Cleaver-of-Heads—a Clorets Clorets. Close Close Coal Coast, Coast, Coast? Cockpit Cockpit Cockpit Cockpit Coconino Coffee, Coffee? Cold, Colt Come Come Come Come Company, Compared Compared Computer Computer Computer Computer Computer Computer Computer Computer, Computer. Computer. Computer?” Computers Computers, Congeniality Congress Congress, Congress-critters Congress. Congruency Connecticut Connecticut Constables, Constellation Constellation Constellation Constellation. Contra Contra Contrary Control Control Control Control Control, Control. Controller. Controllers Controllers’ Controller’s Cool, Copyright Corporation, Corporation, Corporation. Correct Correction: Cosmic Costa Costa Could Could Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council Council, Council. Council. Council. Council. Council.” Council’s Country—the County County County. Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry Coventry, Coventry, Coventry. Coventry. Coventry’s Coventry’s Cow Craig Craig Craig Craig Craig... Craig: Craig: Crain Crain Crain Crain Crain Crain Crain, Crain, Crain, Crain.” Crashes Crashes Cristabel Cristabel Cristabel Cubs. Cummings; Cunard Cut Cybernet D D D D. D. D. D. D.C. DAY. DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10 DC-10, DC-10, DC-10. DC-10. DC-10. DC-10.” DC-3 DC-6 DC-8, DC-lO’s DEMON. DO Dachau Dakota. Dali Damn Damn Damn, Damn, Damn, Darkness Darkness Data Data Data Dating David David David’s Davis Davis Davis Davis Davis, Davis, Davis: Day. Day? DeLisle DeLisle DeLisle DeLisle DeLisle DeLisle. DeLisle. DeLisle. DeLisle’s DeLisle’s DeLisle’s DeLisle’s, Dead Dead December December December December December December December December. December. December. December. Decisions Deep Define Define Denver, Department, Desert Desert Desert... Despair Destiny. Diablo Diablo Diablo. Diablo. Diablo” Did Did Did Did Did Did Did Did Didn’t Diego Diego Diego, Diego?” Disgust Disney Dixie Djakarta, Djakarta, Djakarta, Do Do Do Do Do Do Do Do Do Do Do Do Do Do Do Do Do Doctor Doctor Doctor Doctor Doctor Doctor Doctor Doctor, Doctor,” Doctor,” Doctor,” Doctor.’’ Doctor?” Doctor?” Doctors Dodgers Dodgers Does Does Does Does Does Don Don Don, Don?’’ Don?” Donald Donald Donald Don’t Don’t Don’t Don’t Don’t Don’t Don’t Don’t Don’t Don’t Don’t Douglas Down Down’s Drinking Drunk? Dulles Dulles,” During During Duty Duty Each Each Each Each Each Each Each Each Earhart. Early Early" Early,” Earth Earth Earth Earth Earth, Earth. East East East Eastern Eastern Easy. Eat-drink-and-be-merry. Ed Ed Edison Edison Edward Effect Einstein, Einstein. Eisenhower. Either Either Elder. Eleanor Electric Eleven-oh-one, Eli Eli Eli Eli Eli Eli Eli Eli: Eloi Eloi Encounters. End End End End End End Engineer England English. Enquirer. Enquirer. Entertainment Epilogue Erebus, Eric Essence Eternity Eternity, Eugene Eugene Eugene, Eugene, Even Even Even Even Even Even Even Even Even Even Even Even Even Even Even Even Events Events Eventually Eventually Everglades Everglades, Everglades? Every Every Every Every Every Every Everybody Everybody Everybody Everybody Everybody Everybody Everybody Everybody’s Everyone Everyone Everyone Everyone Everything Everything Everything Everything Excedrin Excuse Extra Eye. Eyewash F-86 FAA FAA FAA FAA FAA’s FBI FBI FBI FBI FBI FBI, FBI. FDR. FDR’s FDR’s FDR’s FOR Factors Facts Fairly Fairly Fall Fall, Famous Farther Faster Fate, Fear, Fed Fed Fed Fed Fed Fed, Fed, Fed. Fed. Federal Federal Federal Federal Fifteen Fifty Fifty! Finally Finally Finally Finally, Finally, Finally, Fine, Fine. Fingers First First First First First First First Five Flagstaff. Flight Flight Flight Flight Flight Flight Flight Flight Flight Florida Fly Fokker-Aerospatiale For For For For For For For For For For For For For For For For For For For For For For For For For For For For For For Force Foreign Forget Forgot Fortunately, Fortune? Forty, Forty-five Four, Frances Frances Francisco Francisco Francisco Francisco Francisco, Francisco.” Frankly, Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie Freddie, Freddie, Freddie,” Freddie. Free Free Free Fremont—which French. French. From From From From From From From Frost, Funny Funny Future G-man, Gab. Galaxy. Garden, Garden. Garry Gary Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate Gate, Gate, Gate, Gate, Gate, Gate, Gate, Gate, Gate, Gate, Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate. Gate.” Gate; Gate?” Gate’s Gate’s Gees Geller’s Genalysis General General General, Genesis.’’ Genie George George George George George George, George?” Georgia German Get Getting Gideon Gideon Gil Gil Gil Gil Gil Gil, Gilbert Gilmore Girl Girl, Glancing Glenlivet Gloria Gloria. Gloria. Gloria?” Glorious Go Go Go Go Go Go-Team God God God God God God, God, God, God, God,” God-knows-how-many God. God. God. God. God.” Gods, Goes Goes Goes Gold Golgotha" Golgotha,” Good Gooney Gooney Gordon Gordon Gordon Gordon Gordon Gordon Gordon Gordon Gordon Gordy Gordy Gordy Gordy Gordy Gordy Gordy Gordy, Gordy. Gordy... Gordy.” Gordy? Gordy?’’ Gordy?” Got Government Governor Gradually, Grand Grandfather Grandfather Grant Grant Gray.” Gray?” Greek Green Green. Greenland. Greetings! Group, Guard Guardia Guardians Guardians Guess Gumby, Guys H-bombs HISTORY HOTLINE, HST Hacker Hacker Hacker. Had Half Half Hall. Hanoi. Hard Hardy Harlan Harold Harrison; Harry Harsh, Harvard, Haubner Haubner, Haubner—he Have Having Having Having He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He He Headache Heads Hearst Heartless, Hefty Hefty Heinlein; Hell Hell, Hell, Hell, Hell, Henry Hepburn Her Her Her Her Her Her Her Her Her Her Her Her Her Her Her Her Herbert Herbert Herculean Here Here Here Here, Here’s Here’s Herman Hertz Hertz Hey!” Hey, He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’d He’ll He’ll He’ll He’ll He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s He’s Highway Hijackers Hildy Hildy. Hills. Himalayas Hindus, His His His His His His His His His His His His His His His His His His His His His His His His His His His His Historians, Historical Hodgson; Holiday Holiday Hollywood Hollywood Hollywood Hollywood Hollywood, Hollywood, Home Honduras Honest. Hong Hope Hopi Hopis, Horowitz Houston. Houston—got How How How How How How How How How How How How How However, However, However, However, However, However. Hoxv’d Huey, Hueys Hugo Hugo Hugo Huguenots, Human Humans Humphrey Hupfeld. Hysteria, I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I" I, I, I, I,” I. I. I. I. I.. I.. I... I... I... I...” I.D. I.D. I.D. I.” I.” I? I? I?” I?” IBM IC IN ISBN: Ian Idle If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If If—” Ike.” Illinois, Imagination Important Impossible, In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In In Inc. Inches India Indian Indian Indian Indian Indian, Indians Indian—so Indications Inference: Inn Inn, Inn. Inside Inside Inside, Instead Instead Instead, Intelligence Intelligence Interest" Interest,” International International International Interstate Interstate Into Investigation—a Investigator Irving Is Is Is Is Is Is Is Is Is Is Is Isaac Islands, Islands, Islands,” Islands... Isn’t Isn’t It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It It's Italian Italian, Its It’ll It’ll It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s It’s I—” I—” I—” I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’d I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’ll I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m I’m—” I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve I’ve JFK). Jack Jack Jack Jack Jack Jackie, Jane Jane January. Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz Janz, Janz, Janz. Janz. Janz. Janz? Janz?” Janz’s Japan Japan. Japanese Jean Jeff Jehovah. Jerry Jerry Jerry Jerry Jerry Jerry Jerry Jerry, Jerry, Jerry: Jerry: Jesus Jesus Jesus Jesus! Jesus. Jesus. Jesus. Jesus.” Jet JetStar JetStar JetStar JetStar. Jews Jockey. Joel John John John John John John Johnny Johnstown, Joyjuice. Juan Jumbos.” June Jupiter, Just Just Just Just Just Just Just Just Just Just Just Just Kampuchea. Kane Kankakee, Karakov Karakov Karakov, Karma, Kate’s Katharine Keane Keane Keane Keane Keane Keane Keane Keane Keane, Keane. Keane’s Keane’s Keep Keeping Keeping Kensington, Kensington, Kensington. Kevin Kevin Kevin Kevin Kevin Kickapoo Kid Kilworth; Knock, Kong. Kooky Korea Kuttner; L-1011, L. L.A. LAST LAX LAX LAX?’’ LOUISE La Lady Lake Lake, Land Land, Lanes Larry Larry Larry. Larry. Larry. Larry. Larry: Larry’s Larry’s Lars, Lars, Lars, Last Last Last Last Last Last Last Last Last Last Last Later Later, Later, Later, Later, Later, Latex; Laughter Laurel Law Law. Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence Lawrence, Lawrence, Lawrence, Lawrence, Lawrence. Lawrence. Lawrence. Lawrence. Lawrence’s Lawrence’s Lawrence’s Lawrence’s Lawrence’s Lawrence’s Leading Leaning Leggio Leggio Leggio Leggio Leggio Leggio Leggio, Lest Lest Let Let Let Let Let’s Let’s Let’s Let’s Let’s Let’s Let’s Levitsky Levitsky, Lie, Lie. Life Like Like Like Like Like Like Like Like Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly Lilly, Lilly. Lilly. Lilly. Lilly? Lilly’s Lilly’s Lilly’s Lilly’s Lilly’s Linus Listen Listen, Listen, Literally. Little Little Livermore Livermore Livermore Livermore, Livermore, Livermore. Lloyd Lockheed Lockheed Lockheed Lockheed Logically, London London London London London London London, Look Look Look Look Look Looking Looking Looking Looking Lord Lord, Lori Los Los Los Los Los Los Los Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise Louise, Louise, Louise, Louise, Louise, Louise, Louise, Louise,’’ Louise,” Louise,” Louise,” Louise,” Louise,” Louise,” Louise,” Louise,” Louise,” Louise,” Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise. Louise... Louise... Louise.’’ Louise.’’ Louise.” Louise.” Louise.” Louise? Louise?’’ Louise?” Louises Louise’s Louise’s Louise’s Louise’s Louise’s Louise’s Louisville, Love Luci Lucille Luckies Luckily, Lucky Lucy.” M.I.T. M.I.T., MEMBERS—Notify MGM/UA MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MILLENNIUM MacQuitty, Macbeth,” Macbeth.” Machine Machine Machine, Machines, Mack Madison Magic Maidive Maintenance Maintenance Makes Man Man Man Man Man Man, Mandy Mandy Mandy Mandy Mandy Mandy Mandy Mandy Mandy Mandy Mandy Mandy, Mandy, Mandy. Mandy. Manhandling! Manual.” Many Many Many Marin Mars, Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin Martin,’’ Martin. Martin. Martin. Martin’s Mary Mary Marybeth Marybeth Marybeth Marybeth Maryland. Maryland? Maryland?” Marylander-Columbians.” Mateo Maurice, Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybe Maybellene. Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer, Mayer,’’ Mayer,” Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer. Mayer.” Mayer; Mayer’s Mayer’s Mayer’s Mayer’s Mayer’s Mayer’s Mayer’s Mayer’s McDonnell-Douglas McRae, Mconel, Me Me, Me, Meanwhile Medics Melvin Member Member, Men Menlo Merely Methodists, Metz. Michael Mike Miles Millennium, Miller; Mine Minor Minoru Minoru Minoru Minoru Minoru Minoru Minoru’s Minutes” Miss Mission: Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Mister Model-T. Mojave Mommy Monday Monday, Moorcock; More More More: Morlock. Morlocks Morlocks Morlocks. Mornings Moroccans: Moses,” Most Most Most Most Most Most Most Most Most Most Most Most Most Most Most Most Most Most Mostly Mostly Mounds Mount Mount Mount Mount Mr. Mr. Mr. Mr. Mr. Mr. Mr. Mr. Mr. Mr. Ms. Ms. Much Much Much Musing Must My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My My Myself, Myself, Myself, NBA NEW NOT NOTE NTSB NTSB NTSB NTSB NTSB. Nader. Nam Nameless Nameless Nameless Nameless Names Nancy Nancy Nancy Naomi, Naomi. Nashua National National National National National National National National National National National National National. National. Naturally, Naturally, Naturally, Naturally, Naturally, Naturally, Navajo Navajo Navajos Navajos, Naval Navy Navy, Nazis, Nebula Nebula Neither Nepal, Nero Never Never Never Never-bom, Never-neverland Nevertheless, New New New New New New New New New New New New New New New New Newcastle. News News Newton, Next Next Next Night Night Night Night Nineteen-eighties No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No, No, No, No, No, No. Noah’s Nobel Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody Nobody. None None None None Normally Normally, Norman North Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Nothing Nothing Nothing Nothing Nothing Nothing Nothing. Nothing. Now Now Now Now Now Now Now Now Now Now Now Now Now Now, Now, Now. Nuclear. O OF OF OPEN OPHIUCHI Oahu, Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland Oakland, Oakland, Oakland, Oakland, Oakland, Oakland, Oakland, Oakland,” Oakland-San Oakland-San Oakland. Oakland. Oakland. Oakland. Oakland. Oakland. Oakland. Obviously Obviously, Obviously, Ocean Oddly, Of Of Of Of Of Of Of Office Office Office Office Office, Office. Office. Officer Officer Officer/IIC,” Office” Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh, Oh. Ohio Oil Okay, Okay, Okay, Okay, Okay, Okay. Okay. Okay. Okay. Okay. Old On On On On On On On On On On On On On On On On On On On Once Once Once Once Once, Once, One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One One, One. One... One: Only Only Only Only Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations Operations, Operations, Operations, Operations, Operations. Operations. Operations. Operations. Oppenheimer, Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or Or, Or: Oregon Oregon Organisation, Organization.” Originally Orly, Otherwise, Otherwise, Our Our Our Our Our Our Out Out Out, Outside, Outside, Outsiders Over Over Oz. P.T. PATCO PERSISTENCE PRC PRINTED PRINTING PSA PSA PSA PSA Pacific Pacific Pacific Pacific Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Pan Papers Paradox! Paradox, Paradox.” Paris Paris, Paris-Frankfurt, Park Park Park.” Parkersburg, Parrish, Part Part Part Part Part Part Part Parts Parts Passengers Patrol, Patty Pauling, Peabody,’’ Penthouse, People People People People’s Perhaps Perhaps Perrier Persistence Personally, Petcher Petcher Petcher Petcher Petcher Petcher Petcher Petcher Petcher, Petcher, Petcher, Petcher. Petcher. Petcher.” Petcher.” Petcher—or Petcher’s, Peter Peter Peter Pharaoh’s Phil Phil Phil,” Phoenix Phoenix Phoenix Phoenix Phoenix. Phoenix?” Physics, Picture Pilots Pinky Pinky Pinky Pinky Pinky Pinky Pinky Pinky Pinky Pinky Pinky Pinky, Pinky, Pinky. Pinky. Pinky?” Pinky’s Pinky’s Pinky’s Piper Plan. Please Plenty Plus, Politically Pop, Pop, Pope Portland Possibly Possibly Possibly Post Post Post Post Post Post Post Post. Poul Poul Power Powers Powers Powers Powers, Powers. Pre-Destination, Preakness Predestination Prentice, Presently President President President President Presidents. Preston Presumably Pretty Pretty Pride Prize. Probably Probably Probably Productions Productions Professor Programmers’ Programming Project Project Project Project Project Project, Project, Project, Project. Project. Project. Project.” Project.” Prologue Prologue: Proximity Publishing Publishing Pursuant Pusher.” Put Putting Q Q Q Quadraplegic. Questions Questions, Quick R Ralph Ralph Ralph Ralph Ralph Ralph Ralph Ralph Ralph Ralph Ralph, Ralph? Ralph? Ralph’s Ralph’s Ralph’s Ralph’s Ralph’s Rangoon Rangoon Rangoon, Rank Rape Rapid Ray Ray Ready-Room, Really. Recorder Recorder Recorder Recorder, Recorder. Recorders Recorders Records. Recovery Red Redford Redford Redford Redford, Redford. Regency Region Region Relativity Remember Remember Remember, Reporters Republic Rescue Reservations Reynolds; Right Right Right Right Right Right Right. Right. Risks River Robert Robert Robert Robert Robert Robert Rockwell Rockwell Rockwell Rockwell Rockwell Rockwell Rockwell Rockwell Rockwell, Rockwell: Rockwell: Rockwell: Rockwell’s Roentgen Roentgen... Rog Rog Roger Roger Roger Roger Roger Roger Roger Roger Roger Roger Roger Roger Roger, Roger. Roman Roman Round Round Roy Rule Running Russians, Ryan Ryan Ryan, SAC, STATES Sacramento Sad Safer. Safety Safety Safety Safety Safety Safety Safety Safety—” Salvador Sam Sam Same Same San San San San San San San San San San Santa Santa Santa Sarah Sarah Sarah Sarah Sarah,’’ Saudi Say Schenectady, Schrader Schrader Schrader Schrader, Schuyler Scottish Screw Seaboard. Seasons. Seattle Seattle, Seattle, Second Seconds See See See See Seen Seen Seibel Seibel Seibel, Seiko Seiko Seiko Selectrics Senator Senator Senators Series, Series. Series. Service Set Seven Seventy-three Several Several Several Shadow Shadow Shame. Shanghai. She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She She Sheepdog, Sheltie. Sheppard Sheppard Sheppard Sheriff’s Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman Sherman, Sherman, Sherman, Sherman, Sherman, Sherman, Sherman, Sherman, Sherman,” Sherman-the-therapist Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman. Sherman.’’ Sherman.” Sherman.” Sherman.” Sherman? Sherman?” Sherman?” Sherman?” Sherman—among Sherman’s Sherman’s Sherman’s Sherman’s Sherman’s. Shetland She’d She’d She’d She’d She’d She’d She’d She’d She’d She’d She’d She’d She’d She’ll She’s She’s She’s She’s She’s She’s She’s She’s She’s She’s She’s Ship Ship Ship. Ship. Shit. Short Shorthanded, Shortly Should Should Show Sianis, Signed, Signed: Silesia Silverberg. Silverberg; Silvers Simple. Simply Simultaneously, Since Since Since Since Since Since Sit Sit Sitting Sitting Skydivers Sleepless Slims Slims. Small Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith,’’ Smith,” Smith. Smith. Smith. Smith. Smith. Smith. Smith. Smith. Smith.” Smith: Smith? 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actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually actually add add add add add added added added added addict adding addition addition addition addition address address addressing add adjective adjust adjusted adjusted adjustment adjusts admired admission admit admit admit admit admit admit admit admit admit admit admitted admitted admitted admitted admitting admitting adolescent s adrenalin advanced advanced advancement advantage advantage advantage advantage advantage advantages advertising advice advice advise advise advised advise advising aerial aeronautical affairs affairs affect affect affect affect afflict afflicted afford affront afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid afraid after after after after after after after after after after after after after after after after after 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age age agencies agency agency agency agency agenda agent agent agent s aggressive agitated ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago ago agony agoraphobia ago or agree agree agree agree agree agree agreed agreed agreed agreed agreed agreed agreement ah ahead ahead ahead ahead ahead ahead ahead ahead ahead ahead ahead ahead aid aid aileron ailerons aim aimed aimed aimed aimed aimed aiming ain t ain t ain t ain t ain t ain t air air air air air air air air air air air air air air air air air air air air air air air air air air air raid air traffic air air air air air air aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft aircraft airfields airframe airframe airframe airframe airframes airline airline airline airline airline airline airline airline airline airline airline airline airline airliner airliners airplane airplane airplane airplane airplane airplanes airplanes airplanes airplanes airplanes airplane at airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airport airports airports airports airspeed airworthy aisle aisle aisle aisle aisle aisle aisle aisle aisle aisle aisles aisles alarm alarm alarm alarm alarm alarm alarm alarm alarm alarm alarm alarm alarm alarm alarmed alarmed alarming alarms alcoholism alert alert alert alert alerted alien alien alive alive alive alive alive alive alive alive alive alive alive alive alive alive all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all all important all time all all all all all all all all all all all all all all all all all all all all all all allergic alligator alliteration allow allowed allowed allowed allowed allows allusions allusions all how almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost almost alone alone alone alone alone alone alone alone alone alone alone alone alone along along along along along along along along along along along along along along along aloud already already already already already already already already already already already already already already already ...'
 'Word Count': '85004
',
}
```

### Data Fields

- **Unnamed: int** A unique id for the text
- **Title: str** The title of the book from which the text has been extracted
- **Author: str** The author of the book from which the text has been extracted
- **Pub Year: str** The date on which the book was published (first printing)
- **Text: str** The text extracted from the book
- **Clean Text: str** The text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- **Word Count: int** The number of words the text contains

To Be Added: 
- **summary: str** A brief summary of the book, if extracted from library records
- **pub_date: int** The date on which the book was published (first printing)
- **pub_city: int** The city in which the book was published (first printing)
- **lcgft_category: str** Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known

### Loading the Dataset

Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)
```
from datasets import load_dataset

# If the dataset is gated/private, make sure you have run huggingface-cli login
dataset = load_dataset("SF-Corpus/EF_Full_Texts")
```
Or just clone the dataset repo

```
git lfs install
git clone https://huggingface.co/datasets/SF-Corpus/EF_Full_Texts
# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var:
GIT_LFS_SKIP_SMUDGE=1
```

## Dataset Creation

### Curation Rationale

For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022)

### Source Data

The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well.

## Considerations for Using the Data

This data card only exhibits extracted features for copyrighted fiction; no copyrighted work is being made available for consumption. These digitized files are made accessible for purposes of education and research. Temple University Libraries have given attribution to rights holders when possible. If you hold the rights to materials in our digitized collections that are unattributed, please let us know so that we may maintain accurate information about these materials.

If you are a rights holder and are concerned that you have found material on this website for which you have not granted permission (or is not covered by a copyright exception under US copyright laws), you may request the removal of the material from our site by writing to digitalscholarship@temple.edu.

For more information on non-consumptive research, check out HathiTrust Research Center’s Non-Consumptive Use Research Policy.


## Additional Information

### Dataset Curators
For a full list of conributors to the SF Nexus project, visit [https://sfnexus.io/people/](https://sfnexus.io/people/). 
language:en region:us
{"language": ["en"], "pretty_name": "sf-nexus-ef-chapters-and-chunks"}
TAGS
#language-English #region-us 


# Dataset Card for SF Nexus Extracted Features: Full Texts

## Dataset Description

- Homepage: URL 
- Repository: URL 
- Point of Contact: Alex Wermer-Colan

### Dataset Summary

The SF Nexus Extracted Features Full Texts dataset contains text and metadata from 403 mid-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated. 
Each row of this dataset contains one text as well as metadata about that text's title, author and publication.

### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's Temple page for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, "Building a New Wave Science Fiction Corpus.".

### Languages

English

## Dataset Structure

This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example: 



### Data Fields

- Unnamed: int A unique id for the text
- Title: str The title of the book from which the text has been extracted
- Author: str The author of the book from which the text has been extracted
- Pub Year: str The date on which the book was published (first printing)
- Text: str The text extracted from the book
- Clean Text: str The text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- Word Count: int The number of words the text contains

To Be Added: 
- summary: str A brief summary of the book, if extracted from library records
- pub_date: int The date on which the book was published (first printing)
- pub_city: int The city in which the book was published (first printing)
- lcgft_category: str Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known

### Loading the Dataset

Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)

Or just clone the dataset repo



## Dataset Creation

### Curation Rationale

For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022)

### Source Data

The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well.

## Considerations for Using the Data

This data card only exhibits extracted features for copyrighted fiction; no copyrighted work is being made available for consumption. These digitized files are made accessible for purposes of education and research. Temple University Libraries have given attribution to rights holders when possible. If you hold the rights to materials in our digitized collections that are unattributed, please let us know so that we may maintain accurate information about these materials.

If you are a rights holder and are concerned that you have found material on this website for which you have not granted permission (or is not covered by a copyright exception under US copyright laws), you may request the removal of the material from our site by writing to digitalscholarship@URL.

For more information on non-consumptive research, check out HathiTrust Research Center’s Non-Consumptive Use Research Policy.


## Additional Information

### Dataset Curators
For a full list of conributors to the SF Nexus project, visit URL 
# Dataset Card for SF Nexus Extracted Features: Full Texts ## Dataset Description

- Homepage: URL 
- Repository: URL 
- Point of Contact: Alex Wermer-Colan ### Dataset Summary

The SF Nexus Extracted Features Full Texts dataset contains text and metadata from 403 mid-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated. 
Each row of this dataset contains one text as well as metadata about that text's title, author and publication. ### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's Temple page for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, "Building a New Wave Science Fiction Corpus.". ### Languages

English ## Dataset Structure

This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example: ### Data Fields

- Unnamed: int A unique id for the text
- Title: str The title of the book from which the text has been extracted
- Author: str The author of the book from which the text has been extracted
- Pub Year: str The date on which the book was published (first printing)
- Text: str The text extracted from the book
- Clean Text: str The text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- Word Count: int The number of words the text contains

To Be Added: 
- summary: str A brief summary of the book, if extracted from library records
- pub_date: int The date on which the book was published (first printing)
- pub_city: int The city in which the book was published (first printing)
- lcgft_category: str Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known ### Loading the Dataset

Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)

Or just clone the dataset repo ## Dataset Creation ### Curation Rationale

For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022) ### Source Data

The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well. ## Considerations for Using the Data

This data card only exhibits extracted features for copyrighted fiction; no copyrighted work is being made available for consumption. These digitized files are made accessible for purposes of education and research. Temple University Libraries have given attribution to rights holders when possible. If you hold the rights to materials in our digitized collections that are unattributed, please let us know so that we may maintain accurate information about these materials.

If you are a rights holder and are concerned that you have found material on this website for which you have not granted permission (or is not covered by a copyright exception under US copyright laws), you may request the removal of the material from our site by writing to digitalscholarship@URL.

For more information on non-consumptive research, check out HathiTrust Research Center’s Non-Consumptive Use Research Policy. ## Additional Information ### Dataset Curators
For a full list of conributors to the SF Nexus project, visit URL
TAGS
#language-English #region-us 
 # Dataset Card for SF Nexus Extracted Features: Full Texts ## Dataset Description

- Homepage: URL 
- Repository: URL 
- Point of Contact: Alex Wermer-Colan ### Dataset Summary

The SF Nexus Extracted Features Full Texts dataset contains text and metadata from 403 mid-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated. 
Each row of this dataset contains one text as well as metadata about that text's title, author and publication. ### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's Temple page for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, "Building a New Wave Science Fiction Corpus.". ### Languages

English ## Dataset Structure

This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example: ### Data Fields

- Unnamed: int A unique id for the text
- Title: str The title of the book from which the text has been extracted
- Author: str The author of the book from which the text has been extracted
- Pub Year: str The date on which the book was published (first printing)
- Text: str The text extracted from the book
- Clean Text: str The text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- Word Count: int The number of words the text contains

To Be Added: 
- summary: str A brief summary of the book, if extracted from library records
- pub_date: int The date on which the book was published (first printing)
- pub_city: int The city in which the book was published (first printing)
- lcgft_category: str Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known ### Loading the Dataset

Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)

Or just clone the dataset repo ## Dataset Creation ### Curation Rationale

For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022) ### Source Data

The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well. ## Considerations for Using the Data

This data card only exhibits extracted features for copyrighted fiction; no copyrighted work is being made available for consumption. These digitized files are made accessible for purposes of education and research. Temple University Libraries have given attribution to rights holders when possible. If you hold the rights to materials in our digitized collections that are unattributed, please let us know so that we may maintain accurate information about these materials.

If you are a rights holder and are concerned that you have found material on this website for which you have not granted permission (or is not covered by a copyright exception under US copyright laws), you may request the removal of the material from our site by writing to digitalscholarship@URL.

For more information on non-consumptive research, check out HathiTrust Research Center’s Non-Consumptive Use Research Policy. ## Additional Information ### Dataset Curators
For a full list of conributors to the SF Nexus project, visit URL
passage: TAGS
#language-English #region-us 
# Dataset Card for SF Nexus Extracted Features: Full Texts## Dataset Description

- Homepage: URL 
- Repository: URL 
- Point of Contact: Alex Wermer-Colan### Dataset Summary

The SF Nexus Extracted Features Full Texts dataset contains text and metadata from 403 mid-twentieth century science fiction books, originally digitized from Temple University Libraries' Paskow Science Fiction Collection.
After digitization, the books were cleaned using Abbyy FineReader.
Because this is a collection of copyrighted fiction, the books have been disaggregated. 
Each row of this dataset contains one text as well as metadata about that text's title, author and publication.### About the SF Nexus Corpus
The Paskow Science Fiction collection contains primarily materials from post-WWII, especially mass-market works of the New Wave era (often dated to 1964-1980).
The digitized texts have also been ingested into HathiTrust's repository for preservation and data curation; they are now viewable on HathiTrust's Temple page for non-consumptive research.
For more information on the project to digitize and curate a corpus of "New Wave" science fiction, see Alex Wermer-Colan's post on the Temple University Scholars Studio blog, "Building a New Wave Science Fiction Corpus.".### Languages

English## Dataset Structure

This dataset contains disaggregated "chunks" of text from mid-twentieth century science fiction books and associated metadata. For example: passage: ### Data Fields

- Unnamed: int A unique id for the text
- Title: str The title of the book from which the text has been extracted
- Author: str The author of the book from which the text has been extracted
- Pub Year: str The date on which the book was published (first printing)
- Text: str The text extracted from the book
- Clean Text: str The text extracted from the book with lowercasing performed and punctuation, numbers and extra spaces removed
- Word Count: int The number of words the text contains

To Be Added: 
- summary: str A brief summary of the book, if extracted from library records
- pub_date: int The date on which the book was published (first printing)
- pub_city: int The city in which the book was published (first printing)
- lcgft_category: str Information from the Library of Congress Genre/Form Terms for Library and Archival Materials, if known### Loading the Dataset

Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)

Or just clone the dataset repo## Dataset Creation### Curation Rationale

For an overview of our approach to data curation of literary texts, see Alex Wermer-Colan’s and James Kopaczewski’s article, “The New Wave of Digital Collections: Speculating on the Future of Library Curation”(2022)### Source Data

The Loretta C. Duckworth Scholars Studio has partnered with Temple University Libraries’ Special Collections Research Center (SCRC) and Digital Library Initiatives (DLI) to build a digitized corpus of copyrighted science fiction literature. Besides its voluminous Urban Archives, the SCRC also houses a significant collection of science-fiction literature. The Paskow Science Fiction Collection was originally established in 1972, when Temple acquired 5,000 science fiction paperbacks from a Temple alumnus, the late David C. Paskow. Subsequent donations, including troves of fanzines and the papers of such sci-fi writers as John Varley and Stanley G. Weinbaum, expanded the collection over the last few decades, both in size and in the range of genres. SCRC staff and undergraduate student workers recently performed the usual comparison of gift titles against cataloged books, removing science fiction items that were exact duplicates of existing holdings. A refocusing of the SCRC’s collection development policy for science fiction de-emphasized fantasy and horror titles, so some titles in those genres were removed as well.