Initial Commit

collect_entity.py

@@ -0,0 +1,40 @@
+import json
+import re
+import os
+
+
+
+def collect_entity_mappings():
+    files = [
+        "test_data_dbpedia.jsonl",
+        "train_data_dbpedia.jsonl",
+        "valid_data_dbpedia.jsonl"
+        ]
+    entityName2entity = {}
+
+    with open('entity2id.json', 'r', encoding='utf-8') as f:
+        entity2id = json.load(f)
+
+
+    for path in files:
+        with open(path, 'r') as f:
+            for line in f:
+                dialog = json.loads(line)
+
+                for message in dialog:
+                    for name, entity in zip(message['entity_name'], message['entity_link']):
+                        entityName2entity[name] = entity
+                    for movie_name, entity in zip(message['movie_name'], message['movie_link']):
+                        entityName2entity[movie_name] = entity
+
+
+    entityName2id = {k: entity2id[entityName2entity[k]] for k in entityName2entity}
+    with open('entityName2id.json', 'w') as f:
+        json.dump(entityName2id, f)
+
+
+
+
+
+if __name__ == "__main__":
+    collect_entity_mappings()

entityName2id.json

@@ -0,0 +1 @@
+{"movie": 16176, "theater": 8942, "comedy": 1798, "drama": 209, "documentaries": 15903, "Hustlers": 15534, "action": 7756, "Deadpool": 11024, "Tom Hanks": 12803, "actor": 8887, "theatres": 8942, "directed": 696, "A Beautiful Day in the Neighborhood": 15688, "Skyscraper": 5157, "The Rock": 10072, "movies": 16176, "San Andreas": 4889, "Die Hard": 8767, "officer": 4455, "Who": 13162, "plays": 15079, "Bruce Willis": 8566, "acting": 2261, "comedies": 1798, "thrillers": 3555, "dramas": 209, "theaters": 8942, "documentary": 15903, "musicals": 6234, "Tim Allen": 5574, "White Christmas": 8389, "Home Alone": 11111, "Santa Claus": 14478, "Christmas movie": 1255, "Elf": 15322, "Rise of the Guardians": 11178, "Tooth Fairy": 3940, "Jim Carrey": 1751, "Christmas": 1255, "How the Grinch Stole Christmas!": 15568, "Happy Days": 15800, "The Irishman": 11556, "actors": 8887, "Guilty by Suspicion": 16319, "Scorsese": 5919, "Hollywood": 11856, "director": 696, "Tell": 16547, "action adventure": 7756, "Zombieland": 16260, "Halloween": 7330, "Annabelle": 8543, "Gerard Butler": 6636, "Angel Has Fallen": 4757, "Olympus Has Fallen": 5172, "Fallen": 1849, "christmas movies": 1255, "TV": 12880, "The Year Without a Santa Claus": 6332, "action movies": 7756, "Greta": 5972, "Chloe Grace Moretz": 12290, "Desperate Housewives": 14481, "Atomic Blonde": 0, "Lucy": 17100, "Tom Cruise": 8026, "Mission: Impossible": 3185, "Terminator": 6135, "Dark Fate": 6447, "Joker": 17225, "Arthur": 4968, "Guardians of the Galaxy": 13198, "super hero": 10977, "Spider": 12022, "Captain America": 1874, "Avengers: Endgame": 7712, "superhero": 10977, "Joaquin Phoenix": 15513, "Gambit": 2002, "Mario": 6386, "Movies": 16176, "The Wizard": 11096, "crime": 3486, "direction": 696, "Emilia Clarke": 476, "actress": 8887, "Holidays": 5558, "Last Christmas": 3688, "romantic comedy": 16163, "Playing with Fire": 5636, "John Cena": 13370, "Cena": 13370, "Dwayne Johnson": 10072, "Kevin Hart": 9155, "Rock": 8513, "Hahaha": 8481, "action movie": 7756, "avengers endgame": 7712, "Stuber": 732, "Here": 14444, "Once Upon a Time in Venice": 6474, "painted": 13979, "James": 2669, "21 bridges": 8746, "Sci-Fi": 15526, "Will Smith": 12654, "Gemini Man": 11419, "Will smith": 12654, "series": 12495, "Lost in Space": 2402, "William Hurt": 8957, "Mimi Rogers": 17292, "Heather Graham": 8019, "Lacey Chabert": 11523, "screen": 16176, "SUPERBAD": 12108, "THE INTERVIEW": 15048, "SETH ROGAN": 15947, "JAMES FRANCO": 2523, "SAUSAGE PARTY": 2026, "Pineapple Express": 4112, "sausage party": 2026, "John Wick": 7253, "The Expendables": 7116, "Rush Hour": 15213, "perfectly": 4432, "production": 13485, "Keanu": 16051, "Matrix": 15, "Dark Phoenix": 13834, "animated": 16377, "Spider-Man": 2193, "Cobra": 4936, "Sylvester Stallone": 11022, "Brigitte Nielsen": 3936, "Arnold Schwarzenegger": 13089, "Star Wars": 6592, "Captain Marvel": 3818, "Black Panther": 200, "fantastic": 6019, "A Dog's Journey": 5877, "The Art of Racing in the Rain": 311, "The Formula": 10298, "Romantic": 5734, "Drama": 209, "The Notebook": 4653, "The Wedding Planner": 2684, "hard": 11343, "Amy Poehler": 13482, "Wine Country": 2840, "Leslie Neilsen": 593, "Will Ferrell": 6238, "Anchorman": 4642, "The Campaign": 4961, "Zach Galifianakis": 12621, "Jason Sudeikis": 17162, "Queen & Slim": 6665, "romance": 8751, "Frozen": 4193, "Game of Thrones": 7457, "sci fi": 15526, "Alien": 3963, "Looper": 16478, "Joseph Gordon-Levitt": 3491, "Emily Blunt": 7143, "Paul Dano": 1395, "Netflix": 10915, "Dark Skies": 12167, "The Matrix": 16215, "IP man 4": 3782, "Terminator: Dark Fate": 6447, "produced": 2556, "Arnold": 8086, "science fiction": 15526, "The Lion King": 8972, "Doctor Sleep": 7671, "Stephen King": 4081, "Escape Room": 8222, "horror": 15136, "Blade Runner": 6765, "Deck the Halls": 979, "Make the Yuletide Gay": 8945, "biographical": 4499, "historical figures": 7196, "stephen king": 4081, "superheros": 10977, "Frozen II": 402, "Shazam!": 13186, "Actors": 8887, "Zachary Levi": 10693, "Mark Strong": 5241, "Asher Angel": 15270, "Jack Dylan Grazer": 11044, "Thor: Ragnarok": 4058, "adam sandler": 7833, "Happy Gilmore": 12501, "Little Nicky": 3000, "Wishmaster": 11382, "Hellraiser": 5100, "Wes Craven": 7971, "author": 5869, "Stan Lee": 6956, "The King": 14699, "Cat's Eye": 3295, "Gerald's Game": 584, "hahaha": 8481, "The Shining": 10865, "Jack": 11633, "Danny": 14898, "Someone Great": 14565, "romantic comedies": 16163, "Matthew McConaughey": 2608, "Chemistry": 14611, "Always": 4680, "Bad Boys for Life": 8348, "thriller movie": 3555, "Parasite": 10901, "Best Director": 13781, "house": 1693, "Hero": 9620, "directing": 696, "Crouching Tiger, Hidden Dragon": 4397, "Crouching Tiger": 4397, "bout": 3591, "The Journey": 15295, "2019 film": 4664, "choreographed": 16463, "The Shadow": 10784, "Crouching Tiger Hidden Dragon": 4397, "Good Boys": 10328, "goodfellas": 5971, "Superbad": 12108, "superbad": 12108, "Jojo Rabbit": 14288, "Comedy": 1798, "The Spy Who Dumped Me": 3522, "Comedies": 1798, "Spaceballs": 6062, "Thriller": 3555, "The Lodge": 15203, "theatre": 8942, "Perhaps Love": 1863, "Tammy": 6809, "melissa mccarthy": 2212, "Melissa Mccarthy": 2212, "The Kitchen": 1415, "Bautista": 13124, "My Spy": 7548, "action films": 7756, "Bad Boys": 16320, "cops": 4455, "friends": 14028, "live": 5749, "A Family Man": 15897, "Buddy Boy": 6315, "underrated": 15701, "Predator": 13445, "Total Recall": 9475, "love comedy": 16163, "dark": 393, "Dark": 14772, "Dark Command": 9829, "clueless": 11259, "10 Things I Hate About You": 13272, "jennifer lopez": 2843, "jlo": 2843, "Jlo": 2843, "The Boy Next Door": 8076, "Good Morning": 1847, "thriller": 3555, "theatrical musical": 6234, "My Fair Lady": 13691, "Oscar": 3518, "The Great Gatsby": 3898, "Leonardo Dicaprio": 10510, "Frozen 2": 402, "Lady and the Tramp": 6375, "Star Wars: The Rise of Skywalker": 1850, "The Rise": 10703, "The Lego Batman Movie": 15133, "The Bat": 17165, "animation": 16377, "Jennifer Aniston": 3566, "Brad Pitt": 6934, "Depp": 15255, "Jeremy Renner": 10687, "Simon Pegg": 10537, "Rebecca Ferguson": 11841, "Simon Sez": 12241, "Justin Timberlake": 7694, "Amanda Seyfried": 16477, "justin timberlake": 7694, "amanda seyfried": 16477, "Johnny Depp": 15255, "Suicide Squad": 16501, "superheroes": 10977, "newer": 11062, "Bad Santa": 10961, "Speed": 9249, "The Help": 400, "comedy film": 5388, "Ryan Reynolds": 16296, "Sandra Bullock": 11219, "The Proposal": 2423, "Jumanji": 8249, "Jack Black": 5308, "Jumanji: The Next Level": 3353, "Goldie Hawn": 1816, "Going Overboard": 6911, "high society": 8918, "Overboard": 3523, "saving private ryan": 10570, "flow": 10639, "war films": 4927, "Letters from Iwo Jima": 11446, "harry styles": 12191, "hosted": 902, "Ken Watanabe": 13125, "Inception": 2123, "special effects": 10066, "Dunkirk": 9883, "war movie": 4927, "Dark Waters": 12911, "play": 15079, "Get Out": 11293, "Thank You for Your Service": 17116, "Adam Sandler": 7833, "The Waterboy": 7586, "Step Brothers": 14907, "Marriage Story": 7890, "Drew Barrymore": 8123, "Blended": 12496, "The Conjuring 2": 7401, "Ex Machina": 4251, "I, Robot": 3428, "Ashley Judd": 13416, "Bryce": 14373, "voices": 12318, "Bella": 10436, "NETFLIX": 10915, "The Office": 1794, "Amber Heard": 13172, "Cara Delevingne": 13516, "Valerian and the City of a Thousand Planets": 13284, "Cara": 13516, "The Fifth Element": 15988, "frozen 2": 402, "The Turning": 16778, "Ready Player One": 3179, "Anon": 13540, "Action": 7756, "fantasy": 6019, "adventure story": 14189, "The Universe": 17101, "Lucas": 8628, "stories": 7207, "Charlie's Angels": 7744, "romances": 8751, "Epic": 2731, "Poltergeist": 16635, "TV series": 12495, "Knives Out": 14746, "Casino": 6855, "Zombies 2": 7609, "Happy Feet": 10255, "The Greatest Showman": 12060, "A.R.Rahman": 10325, "sci-fi": 15526, "supernatural horror": 15136, "The Conjuring": 4807, "scary movie": 6666, "Angelina Jolie": 1241, "Aidan Quinn": 11401, "What Lies Beneath": 8707, "Haunted": 9884, "An American Werewolf in London": 16814, "Chris Sarandon": 485, "Fright Night": 13313, "mix": 7155, "Pulp Fiction": 4163, "The Machinist": 1062, "Psycho": 7160, "Jaws": 10883, "Memento": 1037, "Taika Waititi": 8874, "filmmakers": 16749, "What We Do in the Shadows": 10800, "Musicals": 643, "Moulin Rouge!": 10310, "singing": 12362, "The Producers": 9324, "musical": 6234, "satirical": 10747, "The Interview": 15048, "Tropic Thunder": 15419, "Sorry to Bother You": 10456, "Dr. Strangelove": 1009, "Monty Python's Life of Brian": 11908, "farce": 4116, "Robin Hood: Men in Tights": 14815, "Mel Brooks": 6868, "comedian": 15017, "horror comedy": 11430, "Shaun of the Dead": 9453, "Zombeavers": 6513, "Living the Dream": 16602, "film": 16176, "Linda Hamilton": 12524, "effects": 10066, "Genesis": 7542, "theatrical": 8942, "Ace Ventura": 11782, "BAD BOYS 2": 7050, "Bad Boys 2": 7050, "Black Monday": 8739, "soundtrack": 17078, "Something Wild": 8439, "Sleepy Hollow": 11549, "Lorene Scafaria": 5456, "World War Z": 7236, "I Am Legend": 10870, "actresses": 8887, "Baby Driver": 2450, "Sir": 10005, "Life": 1743, "making": 16749, "thriller films": 3555, "films": 16176, "Rian Johnson": 12785, "Films": 16176, "hardboiled": 17084, "detective story": 6021, "crime comedy": 3486, "The Hateful Eight": 634, "Detective Story": 9759, "mysteries": 1325, "Once Upon a Time": 2431, "Once": 347, "Visual effects": 6987, "Vin Diesel": 6046, "Adventure": 10743, "Brie Larson": 13031, "Samuel L Jackson": 4370, "Looking for Richard": 6726, "mockumentary": 6562, "Vampires": 8925, "comedy-drama": 16318, "The Meyerowitz Stories": 9730, "dramatic": 209, "Uncut Gems": 11454, "netflix": 10915, "50 First Dates": 5610, "Franco": 2523, "Seth Rogen": 15947, "Felicity Jones": 16832, "Come Outside": 11910, "Eddie Redmayne": 14042, "Historical Roasts": 12141, "A quiet place": 13459, "Birds of Prey": 5808, "Harley Quinn": 4686, "joaquin phoenix": 15513, "live action": 12358, "hollywood": 11856, "quentin tarantino": 15539, "sam raimi": 14116, "Dope": 2652, "raimi": 14116, "Shutter Island": 14071, "Chris Nolan": 7170, "tim burton": 4922, "christian bale": 14590, "Original Sin": 11212, "dark comedy": 393, "Fargo": 5960, "fitness trainer": 6696, "moving": 16176, "Jennifer Garner": 10608, "jennifer garner": 10608, "Bedtime Stories": 11668, "Captain America: Civil War": 8421, "The Civil War": 8008, "Central Intelligence": 3187, "Interstellar": 14129, "Ad Astra": 11832, "Murder Mystery": 8661, "Us": 10613, "Midsommar": 1569, "midsommar": 1569, "popular": 15859, "rom-com": 16163, "A Star Is Born": 9431, "Lady Gaga": 11290, "Bradley Cooper": 1079, "Jodie Foster": 5905, "One Chance": 3317, "Garner": 11206, "Daniel Craig": 1738, "Theater": 8942, "Rocky": 6137, "Mad Max: Fury Road": 16240, "Batman": 6778, "Christian Bale": 14590, "matt damon": 7605, "The Invisible Man": 16556, "Either Way": 1795, "mysterious": 1325, "A Quiet Place": 13459, "directors": 696, "The Gift": 13623, "Rebecca Hall": 4063, "Jason Bateman": 8135, "Jason X": 4223, "Joel Edgerton": 17028, "It": 13131, "Superhero": 10977, "Ford v Ferrari": 12280, "Life Partners": 5708, "Silver Linings Playbook": 1585, "American Hustle": 17205, "Jennifer Lawrence": 12105, "bradley cooper": 1079, "romcom": 16163, "Serial Mom": 16937, "Kevin hart": 9155, "Night School": 15276, "The Wedding Ringer": 6331, "Kaley Cuoco": 8658, "zombieland": 16260, "Chris Pratt": 10838, "Guardians": 16906, "True": 12541, "The Squid and the Whale": 328, "Fantasy": 6019, "Back To The Future": 8275, "Jurassic Park": 7808, "End Game": 6456, "Documentaries": 15903, "cop": 4455, "Working Girl": 12925, "Goodfellas": 5971, "The Godfather": 5221, "mystery": 1325, "Jamie Lee Curtis": 7592, "cast": 8887, "I Am Michael": 1778, "Marley": 12122, "Mystery": 1325, "The Avengers": 4925, "comical": 1798, "A Christmas Story 2": 13710, "Ma": 9559, "It Chapter Two": 16836, "Ready or Not": 1423, "August": 685, "The Hallmark Channel": 15117, "Hallmark": 15117, "Crown for Christmas": 2694, "Danica McKellar": 7933, "The Grinch": 15886, "Grown Ups": 16128, "Good Morning, Night": 8067, "Comedians": 15017, "Comedian": 12014, "Glass": 12641, "Gemini man": 11419, "supernatural": 9864, "Paranormal Activity 3": 2892, "vin diesel": 6046, "Riddick": 2656, "Top Gun": 6641, "Tommy Lee Jones": 9632, "cinematography": 16056, "Jennifer Lopez": 2843, "Julia Stiles": 8125, "Constance Wu": 16363, "Enough": 12246, "Enemy of the State": 16288, "Hancock": 9836, "After Earth": 16918, "The Equalizer": 17197, "Denzel Washington": 13598, "tom hanks": 12803, "The Post": 5515, "Forrest Gump": 6734, "Saving Private Ryan": 10570, "Friends": 14028, "The Shawshank Redemption": 9683, "Green Book": 5024, "satire": 10747, "traditional": 10059, "Old School": 11735, "Daddy": 5020, "Bird Box": 6287, "Money Train": 7228, "alternative": 5642, "Jack Reacher": 13529, "Julia Roberts": 1452, "Notting Hill": 7576, "Maid in Manhattan": 10516, "pop music": 13857, "dancer": 9700, "Lars Von Trier": 4677, "Scarlett Johansson": 11887, "Under the Skin": 12609, "Grand Theft Auto": 17123, "Keanu Reeves": 13009, "Rambo III": 5787, "Toy Story 4": 14075, "Heath Ledger": 368, "Joaquin": 15513, "Robert De Niro": 15730, "Hoffa": 10447, "season": 12495, "Robert de Niro": 15730, "Power": 6991, "The Addams Family": 12307, "produce": 13485, "The American": 7704, "Dan Stevens": 6679, "The Lincoln Lawyer": 4673, "Misconduct": 11144, "Anthony Hopkins": 14713, "Al Pacino": 13023, "Alice Eve": 5615, "Marshall": 14446, "Chadwick Boseman": 3381, "Home": 12763, "Ice Age": 16882, "Over the Hedge": 16805, "Tom hanks": 12803, "Playmobil: The Movie": 3681, "fiction": 13003, "Superman": 12674, "Wonder Woman": 1105, "solo": 5749, "Gal Gadot": 2993, "Today": 8671, "Now You See Me": 12936, "thrilling": 477, "Jesse Eisenberg": 1818, "Mark Ruffalo": 1369, "Woody Harrelson": 14414, "Michael Caine": 11473, "Morgan Freeman": 13729, "The Rise Of Skywalker": 1850, "Enemy": 16129, "documentary films": 15903, "drama films": 3621, "Shoah": 3417, "historians": 11771, "PBS": 10053, "Hoop Dreams": 9236, "presented": 902, "Ryan Gosling": 12984, "Steve Carrell": 14489, "miniseries": 9143, "HBO": 2108, "period": 7196, "Aguirre, the Wrath of God": 8419, "Amazon": 11306, "jack nicholson": 8444, "Dr": 16774, "Ari Aster": 10626, "Midsommer": 6187, "Blood and Bone": 13976, "Rob Zombie": 850, "3 From Hell": 11283, "Running Scared": 12398, "Close": 6427, "Chicago": 13473, "West": 14269, "Crime": 9223, "Little": 1222, "James Cameron": 13177, "direct": 696, "John Carter": 3967, "Avatar": 10002, "Manson": 14988, "Michael Douglas": 56, "The Game": 14055, "13 Sins": 17247, "Ron Perlman": 2018, "Farce": 4116, "Romantic Comedy": 16163, "Parodies": 11058, "Bette Midler": 14122, "James Caan": 2158, "Midler": 14122, "The First Wives Club": 904, "soul": 13116, "The Boys": 12727, "dramedy": 16318, "drama comedy": 16318, "Eddie": 6993, "Sparks": 15712, "Dixie": 10660, "Troops": 13050, "soulful": 13116, "suspense": 3555, "Captain Phillips": 9756, "comedians": 15017, "slapstick": 9456, "Dumb and Dumber": 2196, "Jeff Daniels": 16108, "Eddie Murphy": 10989, "Coming to America": 16775, "Weird Science": 8839, "Miss Congeniality": 8116, "slap-stick": 9456, "Foxy Brown": 767, "Pam Grier": 4186, "Hereditary": 4241, "tragedy": 4127, "Hitch": 9650, "Kevin James": 7945, "Eva Mendes": 11311, "Her": 1500, "visuals": 14564, "Matt Damon": 7605, "The Martian": 9004, "animate": 16377, "Buddy": 7051, "The Night Before": 12801, "Mixed Nuts": 10367, "The Wedding Singer": 2603, "Anger Management": 9530, "Mistress": 14775, "havoc": 7846, "Fire": 14000, "Sarah Paulson": 9301, "John Leguizamo": 6198, "Judy": 10771, "story": 7207, "Rogue One": 5000, "Solo": 4916, "meryl streep": 6875, "Child's Play": 7432, "JoJo Rabbit": 14288, "Venom": 5939, "Thor": 12900, "ghostbusters": 12408, "Howard the Duck": 11227, "Death Wish": 3878, "surgeon": 14777, "bruce willis": 8566, "ryan reynolds": 16296, "Bronson": 14287, "Taken": 7482, "Mad Max Fury Road": 16240, "More": 15403, "doctors": 16774, "Unrest": 12452, "Animation": 16377, "pixar": 9617, "Let Me In": 3201, "Chloe": 7563, "Stranger Things": 7695, "The Stranger": 15779, "Jon favreau": 4243, "My family": 8542, "Infinity": 8719, "Endgame": 12964, "Iron Man 2": 16302, "Iron Man": 3550, "Saturday Night": 16480, "Reilly": 15087, "Holmes & Watson": 11095, "Sherlock Holmes": 3937, "mystery film": 2162, "Black Widow": 15059, "Tom Holland": 16671, "Avenger": 7016, "Panther": 8445, "Ant man": 4383, "Ant-Man": 4383, "Ant Man": 4383, "Wasp": 5731, "The Watch": 3448, "Hulk": 14013, "Ride Along": 919, "Tiffany Haddish": 7610, "Sully": 2413, "Le Mans": 656, "Breaking Bad": 9048, "Movie": 16176, "El Camino: A Breaking Bad Movie": 7080, "Split": 3199, "songs": 10059, "South Park: Bigger, Longer & Uncut": 9553, "South Park": 15797, "Rambo: Last Blood": 11675, "Rambo": 2210, "Arizona": 2631, "Gabriela": 15095, "The Nun": 15572, "Harry Potter": 6827, "Fantastic Beasts and Where to Find Them": 1142, "Fantastic Beasts: The Crimes of Grindelwald": 15394, "Quentin Tarantino": 15539, "Kill the Irishman": 351, "Maleficent": 13995, "Bridge to Terabithia": 5414, "reality": 15516, "Paws": 11294, "Crazy Rich Asians": 15125, "Happy": 15504, "Good Luck": 16540, "Amber": 6563, "Jupiter Ascending": 5368, "FX": 10066, "Everyone": 6625, "Phoenix": 16142, "Dave": 13477, "The Dark Knight": 13889, "Batman Beyond: Return of the Joker": 15420, "Robert Downey Jr.": 2049, "Will Friedle": 8572, "Unbreakable": 5664, "action film": 7756, "Deadpool 2": 14100, "mad max fury road": 16240, "Jeff Bridges": 6013, "Liar Liar": 14127, "Ace Ventura: Pet Detective": 1277, "Nature Calls": 16958, "Ace Ventura: When Nature Calls": 15954, "Bruce Almighty": 1961, "Mr. Popper's Penguins": 17301, "action genre": 7756, "Paycheck": 13262, "Ben Affleck": 149, "Aaron Eckhart": 14978, "Uma Thurman": 14052, "Paul Giamatti": 7136, "Romantic comedies": 16163, "Rupert Friend": 2546, "Django 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Ring": 6547, "The Blind Side": 5017, "Downsizing": 14206, "Being There": 14958, "Just Looking": 15078, "plan B": 12559, "Kate Siegel": 2151, "Morgan": 5576, "The Queen": 5235, "joe pesci": 15332, "The Boy and the Beast": 4670, "Finding Forrester": 17173, "Medicine Man": 14754, "Lorraine Bracco": 12867, "SF": 15526, "Two Night Stand": 15761, "Frankenstein": 3929, "Hands of a Stranger": 13408, "The Birds": 14619, "Thinner": 8834, "Alien Abduction": 11506, "Winter": 11969, "Dirty Rotten Scoundrels": 4759, "Honeymoon": 3119, "Happy Death Day 2U": 6457, "blade runner": 6765, "Bride Wars": 9419, "Bryan Greenberg": 12937, "sci-fi horror": 15136, "The Beast Within": 10319, "Alien: Covenant": 11387, "Pumpkinhead": 5379, "Vincent Price": 16620, "Jeepers Creepers 3": 10669, "thor movie": 12900, "Amy Adams": 15508, "Martian Child": 1002, "Fairy Tale": 16542, "Office Space": 3156, "The Good Place": 14922, "Sweet November": 4894, "Jumping the Broom": 3624, "Salim Akil": 6257, "Kate Beckinsale": 3303, "The Breakfast Club": 3296, "Treed Murray": 8525, "Moonrise Kingdom": 7477, "futuristic": 15526, "short stories": 7207, "Silent Library": 15111, "My Best Friend's Wedding": 15412, "Hairspray": 7751, "Girls Trip": 1074, "Arsenio Hall": 15103, "It Takes Two": 9462, "Must Love Dogs": 14949, "Queen Latifah": 3158, "Christopher Guest": 15458, "Parker Posey": 15145, "Eugene": 2972, "Michael McKean": 6435, "Bob Balaban": 5829, "Toy Story movies": 6153, "Philadelphia": 15957, "Rollercoaster": 7709, "Quarantine L.A.": 3620, "Eagle Eye": 6298, "Transcendence": 11554, "Indiana Jones and the Temple of Doom": 908, "Galaxy Quest": 11037, "Passengers": 7852, "jennifer lawrence": 12105, "Evolution": 3174, "Shoot": 578}

inspired_unicrs.py

@@ -1,10 +1,7 @@
 import json
 import re
 from typing import List, Dict
-import html
-
 import datasets
-import pyarrow as pa
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -19,7 +16,10 @@ _URLS = {
 
 
 class InspiredConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
+    def __init__(self, features,
+                 initiator_prefix='User: ',
+                 respondent_prefix='System: ',
+                 **kwargs):
         """BuilderConfig for Inspired (used in UniCRS).
 
         Args:
@@ -28,28 +28,25 @@ class InspiredConfig(datasets.BuilderConfig):
         **kwargs: keyword arguments forwarded to super.
         """
         super().__init__(version=datasets.Version("0.0.1"), **kwargs)
-        self.features = {
-                "context": datasets.Sequence(datasets.Value("string")),
-                "resp": datasets.Value("string"),
-                "rec": datasets.Sequence(datasets.Value("int32")),
-                "entity": datasets.Sequence(datasets.Value("int32")),
-            }
+        self.features = features
+        self.initiator_prefix = initiator_prefix
+        self.respondent_prefix = respondent_prefix
 
 class Inspired(datasets.GeneratorBasedBuilder):
-    DEFAULT_CONFIG_NAME = "multiturn"
+    DEFAULT_CONFIG_NAME = "unrolled"
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="multiturn",
+        InspiredConfig(
+            name="unrolled",
             description="The processed Inspired dataset in UniCRS. Each conversation yields multiple samples",
-        ),
-
-        datasets.BuilderConfig(
-            name="multiturn_masked",
-            description="The processed Inspired dataset in UniCRS used for generation task. Each conversation yields multiple samples",
+            features={
+                "messages": datasets.Sequence(datasets.Value("string")),
+                "rec": datasets.Sequence(datasets.Value("int32")),
+                "recNames": datasets.Sequence(datasets.Value("string")),
+            }
         )
     ]
 
-    movie_pattern = re.compile(r'@\d+')
+    entity_pattern = "<entity>{}</entity>"
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
@@ -57,12 +54,7 @@ class Inspired(datasets.GeneratorBasedBuilder):
     def _info(self):
         return datasets.DatasetInfo(
             description=self.config.description,
-            features=datasets.Features({
-                "context": datasets.Sequence(datasets.Value("string")),
-                "resp": datasets.Value("string"),
-                "rec": datasets.Sequence(datasets.Value("int32")),
-                "entity": datasets.Sequence(datasets.Value("int32")),
-            }),
+            features=datasets.Features(self.config.features),
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
@@ -78,70 +70,47 @@ class Inspired(datasets.GeneratorBasedBuilder):
                                     gen_kwargs={"filepath": downloaded_files["test"], "entity2id": entity2id_file}),
         ]
 
-    def _process_utt(self, utt, movieid2name, replace_movieId, remove_movie=False):
-        def convert(match):
-            movieid = match.group(0)[1:]
-            if movieid in movieid2name:
-                if remove_movie:
-                    return '<movie>'
-                movie_name = movieid2name[movieid]
-                movie_name = ' '.join(movie_name.split())
-                return movie_name
-            else:
-                return match.group(0)
-
-        if replace_movieId:
-            utt = re.sub(self.movie_pattern, convert, utt)
-        utt = ' '.join(utt.split())
-        utt = html.unescape(utt)
 
+    def _mark_entity(self, utt: str, entities: List[str]):
+        # If entities like "action movie" and "action" appear at the same time, we only mark the longer one
+        entities = sorted(list(set(entities)), key=lambda x: len(x), reverse=True)
+        for i, entity in enumerate(entities):
+            valid = True
+            for prev in entities[:i]:
+                if entity in prev:
+                    valid = False
+            if valid:
+                utt = re.sub(entity, self.entity_pattern.format(entity), utt)
         return utt
 
-
     def _generate_examples(self, filepath, entity2id):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)
 
         with open(entity2id, 'r', encoding='utf-8') as f:
             entity2id = json.load(f)
-        if "multiturn" in self.config.name:
-            mask_flag = "mask" in self.config.name
+        if "unrolled" in self.config.name:
             Idx = 0
             with open(filepath, encoding="utf-8") as f:
                 for line in f:
                     dialog = json.loads(line)
-
-                    context, resp = [], ''
-                    entity_list = []
+                    context = []
 
                     for turn in dialog:
                         resp = turn['text']
-                        entity_link = [entity2id[entity] for entity in turn['entity_link'] if entity in entity2id]
-                        movie_link = [entity2id[movie] for movie in turn['movie_link'] if movie in entity2id]
-
-
-                        if mask_flag and turn['role'] == 'SEEKER':
-                            context.append(resp)
-                            entity_list.extend(entity_link + movie_link)
-                        else:
-                            if mask_flag:
-                                mask_resp = resp
-                                for movie_name in turn['movie_name']:
-                                    start_ind = mask_resp.lower().find(movie_name.lower())
-                                    if start_ind != -1:
-                                        mask_resp = f'{mask_resp[:start_ind]}<movie>{mask_resp[start_ind + len(movie_name):]}'
-
-                            if len(context) == 0:
-                                context.append('')
-
-                            yield Idx, {
-                                'context': context,
-                                'resp': mask_resp if mask_flag else resp,
-                                'rec': movie_link if mask_flag else list(set(movie_link + entity_link)),
-                                'entity': list(set(entity_list))
-                            }
-                            Idx += 1
-
-                            context.append(resp)
-                            entity_list.extend(entity_link + movie_link)
+                        movie_turn = [entity2id[movie] for movie in turn['movie_link'] if movie in entity2id]
+
+                        resp = self._mark_entity(resp, turn['entity_name']+turn['movie_name'])
+                        prefix = self.config.initiator_prefix if turn['role'] == 'SEEKER' else self.config.respondent_prefix
+                        resp = prefix + resp
+                        context.append(resp)
+
+                        yield Idx, {
+                            'messages': context,
+                            'rec': movie_turn,
+                            'recNames': turn['movie_name']
+                        }
+
+                        Idx += 1
+