Merge pull request '第三次合并' (#3) from HuangJintao into master

.gitignore

@@ -1,8 +0,0 @@
-/deprecated/
-/ml_er/output/*
-/md_discovery/output/*
-/hpo/output/*
-tfile.py
-table_embedding.py
-set_none.py
-generate_matches.py

README.md

@@ -0,0 +1,2 @@
+# matching_dependency
+

datasets/BeerAdvo-RateBeer/matches.csv

@@ -1,69 +0,0 @@
-ltable_id,rtable_id
-61,2710
-120,213
-190,805
-271,1410
-294,1586
-386,2204
-418,2441
-480,2576
-563,1177
-781,2835
-862,2906
-890,2580
-982,2999
-1004,20
-1030,43
-1042,55
-1157,155
-1394,358
-1456,409
-1460,412
-1474,427
-1522,467
-1621,548
-1648,571
-1672,590
-1748,652
-1780,685
-1842,737
-1850,742
-1914,793
-1931,810
-2007,203
-2163,985
-2175,996
-2242,1048
-2289,1085
-2362,1136
-2463,1206
-2491,1230
-2506,1242
-2558,1284
-2606,1320
-2689,1373
-2700,1380
-2722,1393
-2764,1423
-2867,1493
-2909,1529
-2992,1590
-3035,1620
-3073,1647
-3079,1650
-3210,1737
-3381,1859
-3468,1921
-3622,2020
-3758,2120
-3800,2146
-3802,2149
-3917,2224
-4003,2284
-4063,2331
-4088,2351
-4101,2360
-4157,2405
-4161,2409
-4237,2466
-4286,2362

datasets/Fodors-Zagats/matches.csv

@@ -1,111 +0,0 @@
-ltable_id,rtable_id
-0,218
-1,219
-2,220
-3,221
-4,222
-5,223
-6,224
-7,225
-8,226
-9,227
-10,228
-11,229
-12,230
-13,231
-14,232
-15,233
-16,234
-17,235
-18,236
-19,237
-21,239
-22,240
-23,241
-24,242
-25,243
-26,244
-27,245
-28,246
-29,247
-30,248
-31,249
-32,250
-33,251
-34,252
-35,253
-36,254
-37,255
-38,256
-39,257
-40,258
-41,259
-42,260
-43,261
-44,262
-45,263
-46,264
-47,265
-48,266
-49,267
-50,268
-51,269
-52,270
-53,271
-54,272
-55,273
-56,274
-57,275
-58,276
-59,277
-61,279
-62,280
-63,281
-64,282
-65,283
-66,284
-67,285
-68,286
-69,287
-70,288
-71,289
-72,290
-73,291
-74,292
-75,293
-76,294
-77,295
-78,296
-79,297
-80,298
-81,299
-82,300
-83,301
-84,302
-85,303
-86,304
-87,305
-88,306
-89,307
-90,308
-91,309
-92,310
-93,311
-94,312
-95,313
-96,314
-97,315
-98,316
-99,317
-100,318
-101,319
-102,320
-103,321
-104,322
-105,323
-106,324
-107,325
-108,326
-109,327
-110,328
-111,329

datasets/Fodors-Zagats/tableA.csv

@@ -1,534 +0,0 @@
-id,name,addr,city,phone,type,class
-0,` arnie morton \ 's of chicago ',' 435 s. la cienega blv . ',` los angeles ',310/246 -1501,american,0
-1,` art \ 's delicatessen ',' 12224 ventura blvd. ',` studio city ',818/762 -1221,american,1
-2,` hotel bel-air ',' 701 stone canyon rd. ',` bel air ',310/472 -1211,californian,2
-3,` cafe bizou ',' 14016 ventura blvd. ',` sherman oaks ',818/788 -3536,french,3
-4,campanile,' 624 s. la brea ave. ',` los angeles ',213/938 -1447,american,4
-5,` chinois on main ',' 2709 main st. ',` santa monica ',310/392 -9025,french,5
-6,citrus,' 6703 melrose ave. ',` los angeles ',213/857 -0034,californian,6
-7,fenix,' 8358 sunset blvd. west ',hollywood,213/848 -6677,american,7
-8,granita,' 23725 w. malibu rd. ',malibu,310/456 -0488,californian,8
-9,` grill on the alley ',' 9560 dayton way ',` los angeles ',310/276 -0615,american,9
-10,` restaurant katsu ',' 1972 n. hillhurst ave. ',` los angeles ',213/665 -1891,asian,10
-11,` l \ ` orangerie ',' 903 n. la cienega blvd. ',` los angeles ',310/652 -9770,french,11
-12,` le chardonnay ',' 8284 melrose ave. ',` los angeles ',213/655 -8880,french,12
-13,` locanda veneta ',' 3rd st. ',` los angeles ',310/274 -1893,italian,13
-14,matsuhisa,' 129 n. la cienega blvd. ',` beverly hills ',310/659 -9639,asian,14
-15,` the palm ',' 9001 santa monica blvd. ',` los angeles ',310/550 -8811,american,15
-16,patina,' 5955 melrose ave. ',` los angeles ',213/467 -1108,californian,16
-17,` philippe \ 's the original ',' 1001 n. alameda st. ',` los angeles ',213/628 -3781,american,17
-18,` pinot bistro ',' 12969 ventura blvd. ',` los angeles ',818/990 -0500,french,18
-19,` rex il ristorante ',' 617 s. olive st. ',` los angeles ',213/627 -2300,italian,19
-20,spago,' 1114 horn ave. ',` los angeles ',310/652 -4025,californian,20
-21,valentino,' 3115 pico blvd. ',` santa monica ',310/829 -4313,italian,21
-22,` yujean kang \ 's gourmet chinese cuisine ','67 n. raymond ave. ',` los angeles ',818/585 -0855,asian,22
-23,'21 club ','21 w. 52nd st. ',` new york ',212/582 -7200,american,23
-24,aquavit,'13 w. 54th st. ',` new york ',212/307 -7311,continental,24
-25,aureole,'34 e. 61st st. ',` new york ',' 212 / 319-1660 ',american,25
-26,` cafe lalo ',' 201 w. 83rd st. ',` new york ',212/496 -6031,` coffee bar ',26
-27,` cafe des artistes ',' 1 w. 67th st. ',` new york ',212/877 -3500,continental,27
-28,` carmine \ 's ',' 2450 broadway between 90th and 91st sts . ',` new york ',212/362 -2200,italian,28
-29,` carnegie deli ',' 854 7th ave. between 54th and 55th sts . ',` new york ',212/757 -2245,delicatessen,29
-30,chanterelle,' 2 harrison st. near hudson st. ',` new york ',212/966 -6960,american,30
-31,daniel,'20 e. 76th st. ',` new york ',212/288 -0033,french,31
-32,dawat,' 210 e. 58th st. ',` new york ',212/355 -7555,asian,32
-33,felidia,' 243 e. 58th st. ',` new york ',212/758 -1479,italian,33
-34,` four seasons grill room ','99 e. 52nd st. ',` new york ',212/754 -9494,american,34
-35,` gotham bar & grill ','12 e. 12th st. ',` new york ',212/620 -4020,american,35
-36,` gramercy tavern ','42 e. 20th st. between park ave. s and broadway ',` new york ',212/477 -0777,american,36
-37,` island spice ',' 402 w. 44th st. ',` new york ',212/765 -1737,` tel caribbean ',37
-38,` jo jo ',' 160 e. 64th st. ',` new york ',212/223 -5656,american,38
-39,` la caravelle ','33 w. 55th st. ',` new york ',212/586 -4252,french,39
-40,` la cote basque ','60 w. 55th st. between 5th and 6th ave. ',` new york ',212/688 -6525,french,40
-41,` le bernardin ',' 155 w. 51st st. ',` new york ',212/489 -1515,french,41
-42,` les celebrites ',' 160 central park s ',` new york ',212/484 -5113,french,42
-43,lespinasse,' 2 e. 55th st. ',` new york ',212/339 -6719,american,43
-44,lutece,' 249 e. 50th st. ',` new york ',212/752 -2225,french,44
-45,` manhattan ocean club ','57 w. 58th st. ',` new york ',' 212 / 371-7777 ',seafood,45
-46,march,' 405 e. 58th st. ',` new york ',212/754 -6272,american,46
-47,` mesa grill ',' 102 5th ave. between 15th and 16th sts . ',` new york ',212/807 -7400,american,47
-48,` mi cocina ','57 jane st. off hudson st. ',` new york ',212/627 -8273,mexican,48
-49,montrachet,' 239 w. broadway between walker and white sts . ',` new york ',' 212 / 219-2777 ',french,49
-50,oceana,'55 e. 54th st. ',` new york ',212/759 -5941,seafood,50
-51,` park avenue cafe ',' 100 e. 63rd st. ',` new york ',212/644 -1900,american,51
-52,petrossian,' 182 w. 58th st. ',` new york ',212/245 -2214,french,52
-53,picholine,'35 w. 64th st. ',` new york ',212/724 -8585,mediterranean,53
-54,pisces,'95 ave. a at 6th st. ',` new york ',212/260 -6660,seafood,54
-55,` rainbow room ','30 rockefeller plaza ',` new york ',212/632 -5000,` or 212/632 -5100 american ',55
-56,` river cafe ',' 1 water st. at the east river ',brooklyn,718/522 -5200,american,56
-57,` san domenico ',' 240 central park s ',` new york ',212/265 -5959,italian,57
-58,` second avenue deli ',' 156 2nd ave. at 10th st. ',` new york ',212/677 -0606,delicatessen,58
-59,seryna,'11 e. 53rd st. ',` new york ',212/980 -9393,asian,59
-60,` shun lee west ','43 w. 65th st. ',` new york ',212/371 -8844,asian,60
-61,` sign of the dove ',' 1110 3rd ave. at 65th st. ',` new york ',212/861 -8080,american,61
-62,` smith & wollensky ',' 201 e. 49th st. ',` new york ',212/753 -1530,american,62
-63,` tavern on the green ',` in central park at 67th st. ',` new york ',212/873 -3200,american,63
-64,` uncle nick \ 's ',' 747 9th ave. between 50th and 51st sts . ',` new york ',212/315 -1726,mediterranean,64
-65,` union square cafe ','21 e. 16th st. ',` new york ',212/243 -4020,american,65
-66,` virgil \ 's ',' 152 w. 44th st. ',` new york ',' 212 / 921-9494 ',american,66
-67,` chin \ 's ',' 3200 las vegas blvd. s ',` las vegas ',702/733 -8899,asian,67
-68,` coyote cafe ',' 3799 las vegas blvd. s ',` las vegas ',702/891 -7349,southwestern,68
-69,` le montrachet ',' 3000 w. paradise rd. ',` las vegas ',702/732 -5111,continental,69
-70,` palace court ',' 3570 las vegas blvd. s ',` las vegas ',702/731 -7547,continental,70
-71,` second street grille ',' 200 e. fremont st. ',` las vegas ',702/385 -3232,seafood,71
-72,` steak house ',' 2880 las vegas blvd. s ',` las vegas ',702/734 -0410,` steak houses ',72
-73,tillerman,' 2245 e. flamingo rd. ',` las vegas ',702/731 -4036,seafood,73
-74,abruzzi,' 2355 peachtree rd. . peachtree battle shopping center ',atlanta,404/261 -8186,italian,74
-75,bacchanalia,' 3125 piedmont rd. . near peachtree rd. ',atlanta,404/365 -0410,international,75
-76,` bone \ 's ',' 3130 piedmont road ',atlanta,404/237 -2663,american,76
-77,` brasserie le coze ',' 3393 peachtree rd. . lenox square mall near neiman marcus ',atlanta,404/266 -1440,french,77
-78,` buckhead diner ',' 3073 piedmont road ',atlanta,404/262 -3336,american,78
-79,ciboulette,' 1529 piedmont ave. ',atlanta,404/874 -7600,french,79
-80,delectables,' 1 margaret mitchell sq. ',atlanta,404/681 -2909,american,80
-81,` georgia grille ',' 2290 peachtree rd. . peachtree square shopping center ',atlanta,404/352 -3517,american,81
-82,` hedgerose heights inn ',' 490 e. paces ferry rd. ',atlanta,404/233 -7673,international,82
-83,` heera of india ',' 595 piedmont ave. rio shopping mall ',atlanta,404/876 -4408,asian,83
-84,` indigo coastal grill ',' 1397 n. highland ave. ',atlanta,404/876 -0676,caribbean,84
-85,` la grotta ',' 2637 peachtree rd. . peachtree house condominium ',atlanta,404/231 -1368,italian,85
-86,` mary mac \ 's tea room ',' 224 ponce de leon ave. ',atlanta,404/876 -1800,southern,86
-87,` nikolai \ 's roof ',' 255 courtland st. at harris st. ',atlanta,404/221 -6362,continental,87
-88,` pano \ 's and paul \ 's ',' 1232 w. paces ferry rd. ',atlanta,404/261 -3662,international,88
-89,` cafe ritz-carlton buckhead ',' 3434 peachtree rd. ',atlanta,404/237 -2700,` ext 6108 international ',89
-90,` dining room ritz-carlton buckhead ',' 3434 peachtree rd. ',atlanta,404/237 -2700,international,90
-91,` restaurant ritz-carlton atlanta ',' 181 peachtree st. ',atlanta,404/659 -0400,continental,91
-92,toulouse,' b peachtree rd. ',atlanta,404/351 -9533,french,92
-93,` veni vidi vici ','41 14th st. ',atlanta,404/875 -8424,italian,93
-94,` alain rondelli ',' 126 clement st. ',` san francisco ',415/387 -0408,french,94
-95,aqua,' 252 california st. ',` san francisco ',415/956 -9662,seafood,95
-96,boulevard,' 1 mission st. ',` san francisco ',415/543 -6084,american,96
-97,` cafe claude ',' 7 claude la . ',` san francisco ',415/392 -3505,french,97
-98,` campton place ',' 340 stockton st. ',` san francisco ',415/955 -5555,american,98
-99,` chez michel ',' 804 northpoint ',` san francisco ',415/775 -7036,french,99
-100,` fleur de lys ',' 777 sutter st. ',` san francisco ',415/673 -7779,french,100
-101,fringale,' 570 4th st. ',` san francisco ',415/543 -0573,french,101
-102,` hawthorne lane ','22 hawthorne st. ',` san francisco ',415/777 -9779,american,102
-103,` khan toke thai house ',' 5937 geary blvd. ',` san francisco ',415/668 -6654,asian,103
-104,` la folie ',' 2316 polk st. ',` san francisco ',415/776 -5577,french,104
-105,lulu,' 816 folsom st. ',` san francisco ',415/495 -5775,mediterranean,105
-106,` masa \ 's ',' 648 bush st. ',` san francisco ',415/989 -7154,french,106
-107,` mifune japan center kintetsu building ',' 1737 post st. ',` san francisco ',415/922 -0337,asian,107
-108,` plumpjack cafe ',' 3201 fillmore st. ',` san francisco ',415/563 -4755,mediterranean,108
-109,postrio,' 545 post st. ',` san francisco ',415/776 -7825,american,109
-110,` ritz-carlton restaurant and dining room ',' 600 stockton st. ',` san francisco ',415/296 -7465,american,110
-111,` rose pistola ',' 532 columbus ave. ',` san francisco ',415/399 -0499,italian,111
-112,bolo,'23 e. 22nd st. ',` new york ',212/228 -2200,mediterranean,191
-113,` il nido ',' 251 e. 53rd st. ',` new york ',212/753 -8450,italian,267
-114,remi,' 145 w. 53rd st. ',` new york ',212/581 -4242,italian,334
-115,` adriano \ 's ristorante ',' 2930 beverly glen circle ',` los angeles ',310/475 -9807,italian,112
-116,` barney greengrass ',' 9570 wilshire blvd. ',` beverly hills ',310/777 -5877,american,113
-117,beaurivage,' 26025 pacific coast hwy . ',malibu,310/456 -5733,french,114
-118,` bistro garden ',' 176 n. canon dr. ',` los angeles ',310/550 -3900,californian,115
-119,` border grill ',' 4th st. ',` los angeles ',310/451 -1655,mexican,116
-120,` broadway deli ',' 3rd st. promenade ',` santa monica ',310/451 -0616,american,117
-121,` ca \ ` brea ',' 346 s. la brea ave. ',` los angeles ',213/938 -2863,italian,118
-122,` ca \ ` del sol ',' 4100 cahuenga blvd. ',` los angeles ',818/985 -4669,italian,119
-123,` cafe pinot ',' 700 w. fifth st. ',` los angeles ',213/239 -6500,californian,120
-124,` california pizza kitchen ',' 207 s. beverly dr. ',` los angeles ',310/275 -1101,californian,121
-125,` canter \ 's ',' 419 n. fairfax ave. ',` los angeles ',213/651 -2030 .,american,122
-126,cava,' 3rd st. ',` los angeles ',213/658 -8898,mediterranean,123
-127,` cha cha cha ',' 656 n. virgil ave. ',` los angeles ',213/664 -7723,caribbean,124
-128,` chan dara ',' 310 n. larchmont blvd. ',` los angeles ',213/467 -1052,asian,125
-129,` clearwater cafe ',' 168 w. colorado blvd. ',` los angeles ',818/356 -0959,` health food ',126
-130,` dining room ',' 9500 wilshire blvd. ',` los angeles ',310/275 -5200,californian,127
-131,dive !,' 10250 santa monica blvd. ',` los angeles ',310/788 -,` dive american ',128
-132,drago,' 2628 wilshire blvd. ',` santa monica ',310/828 -1585,italian,129
-133,` drai \ 's ',' 730 n. la cienega blvd. ',` los angeles ',310/358 -8585,french,130
-134,` dynasty room ',' 930 hilgard ave. ',` los angeles ',310/208 -8765,continental,131
-135,eclipse,' 8800 melrose ave. ',` los angeles ',310/724 -5959,californian,132
-136,` ed debevic \ 's ',' 134 n. la cienega ',` los angeles ',310/659 -1952,american,133
-137,` el cholo ',' 1121 s. western ave. ',` los angeles ',213/734 -2773,mexican,134
-138,` gilliland \ 's ',' 2424 main st. ',` santa monica ',310/392 -3901,american,135
-139,` gladstone \ 's ',' 4 fish 17300 pacific coast hwy . at sunset blvd. ',` pacific palisades ',310/454 -3474,american,136
-140,` hard rock cafe ',' 8600 beverly blvd. ',` los angeles ',310/276 -7605,american,137
-141,` harry \ 's bar & american grill ',' 2020 ave. of the stars ',` los angeles ',310/277 -2333,italian,138
-142,` il fornaio cucina italiana ',' 301 n. beverly dr. ',` los angeles ',310/550 -8330,italian,139
-143,` jack sprat \ 's grill ',' 10668 w. pico blvd. ',` los angeles ',310/837 -6662,` health food ',140
-144,` jackson \ 's farm ',' 439 n. beverly drive ',` los angeles ',310/273 -5578,californian,141
-145,` jimmy \ 's ',' 201 moreno dr. ',` los angeles ',310/552 -2394,continental,142
-146,joss,' 9255 sunset blvd. ',` los angeles ',310/276 -1886,asian,143
-147,` le colonial ',' 8783 beverly blvd. ',` los angeles ',310/289 -0660,asian,144
-148,` le dome ',' 8720 sunset blvd. ',` los angeles ',310/659 -6919,french,145
-149,` louise \ 's trattoria ',' 4500 los feliz blvd. ',` los angeles ',213/667 -0777,italian,146
-150,` mon kee seafood restaurant ',' 679 n. spring st. ',` los angeles ',213/628 -6717,asian,147
-151,` morton \ 's ',' 8764 melrose ave. ',` los angeles ',310/276 -5205,american,148
-152,` nate \ ` n \ ' al \ 's ',' 414 n. beverly dr. ',` los angeles ',310/274 -0101,american,149
-153,nicola,' 601 s. figueroa st. ',` los angeles ',213/485 -0927,american,150
-154,` ocean avenue ',' 1401 ocean ave. ',` santa monica ',310/394 -5669,american,151
-155,orleans,' 11705 national blvd. ',` los angeles ',310/479 -4187,cajun,152
-156,` pacific dining car ',' 6th st. ',` los angeles ',213/483 -6000,american,153
-157,` paty \ 's ',' 10001 riverside dr. ',` toluca lake ',818/761 -9126,american,154
-158,` pinot hollywood ',' 1448 n. gower st. ',` los angeles ',213/461 -8800,californian,155
-159,posto,' 14928 ventura blvd. ',` sherman oaks ',818/784 -4400,italian,156
-160,prego,' 362 n. camden dr. ',` los angeles ',310/277 -7346,italian,157
-161,` rj \ 's the rib joint ',' 252 n. beverly dr. ',` los angeles ',310/274 -7427,american,158
-162,remi,' 3rd st. promenade ',` santa monica ',310/393 -6545,italian,159
-163,` restaurant horikawa ',' 111 s. san pedro st. ',` los angeles ',213/680 -9355,asian,160
-164,` roscoe \ 's house of chicken \ ` n \ ' waffles ',' 1514 n. gower st. ',` los angeles ',213/466 -9329,american,161
-165,` schatzi on main ',' 3110 main st. ',` los angeles ',310/399 -4800,continental,162
-166,sofi,' 3rd st. ',` los angeles ',213/651 -0346,mediterranean,163
-167,swingers,' 8020 beverly blvd. ',` los angeles ',213/653 -5858,american,164
-168,` tavola calda ',' 7371 melrose ave. ',` los angeles ',213/658 -6340,italian,165
-169,` the mandarin ',' 430 n. camden dr. ',` los angeles ',310/859 -0926,asian,166
-170,` tommy tang \ 's ',' 7313 melrose ave. ',` los angeles ',213/937 -5733,asian,167
-171,` tra di noi ',' 3835 cross creek rd. ',` los angeles ',310/456 -0169,italian,168
-172,` trader vic \ 's ',' 9876 wilshire blvd. ',` los angeles ',310/276 -6345,asian,169
-173,vida,' 1930 north hillhurst ave. ',` los feliz ',213/660 -4446,american,170
-174,` west beach cafe ','60 n. venice blvd. ',` los angeles ',310/823 -5396,american,171
-175,'20 mott ','20 mott st. between bowery and pell st. ',` new york ',212/964 -0380,asian,172
-176,' 9 jones street ',' 9 jones st. ',` new york ',212/989 -1220,american,173
-177,adrienne,' 700 5th ave. at 55th st. ',` new york ',212/903 -3918,french,174
-178,agrotikon,' 322 e. 14 st. between 1st and 2nd aves . ',` new york ',212/473 -2602,mediterranean,175
-179,aja,' 937 broadway at 22nd st. ',` new york ',212/473 -8388,american,176
-180,alamo,' 304 e. 48th st. ',` new york ',' 212 / 759-0590 ',mexican,177
-181,` alley \ 's end ',' 311 w. 17th st. ',` new york ',212/627 -8899,american,178
-182,` ambassador grill ',' 1 united nations plaza at 44th st. ',` new york ',212/702 -5014,american,179
-183,` american place ',' 2 park ave. at 32nd st. ',` new york ',212/684 -2122,american,180
-184,` anche vivolo ',' 222 e. 58th st. between 2nd and 3rd aves . ',` new york ',212/308 -0112,italian,181
-185,arizona,' 206 206 e. 60th st. ',` new york ',212/838 -0440,american,182
-186,` arturo \ 's ',' 106 w. houston st. off thompson st. ',` new york ',212/677 -3820,italian,183
-187,` au mandarin ',' 200-250 vesey st. world financial center ',` new york ',212/385 -0313,asian,184
-188,` bar anise ',' 1022 3rd ave. between 60th and 61st sts . ',` new york ',212/355 -1112,mediterranean,185
-189,barbetta,' 321 w. 46th st. ',` new york ',212/246 -9171,italian,186
-190,` ben benson \ 's ',' 123 w. 52nd st. ',` new york ',212/581 -8888,american,187
-191,` big cup ',' 228 8th ave. between 21st and 22nd sts . ',` new york ',212/206 -0059,` coffee bar ',188
-192,` billy \ 's ',' 948 1st ave. between 52nd and 53rd sts . ',` new york ',212/753 -1870,american,189
-193,` boca chica ','13 1st ave. near 1st st. ',` new york ',212/473 -0108,` latin american ',190
-194,boonthai,' 1393a 2nd ave. between 72nd and 73rd sts . ',` new york ',212/249 -8484,asian,192
-195,bouterin,' 420 e. 59th st. off 1st ave. ',` new york ',212/758 -0323,french,193
-196,` brothers bar-b-q ',' 225 varick st. at clarkston st. ',` new york ',212/727 -2775,american,194
-197,bruno,' 240 e. 58th st. ',` new york ',212/688 -4190,italian,195
-198,` bryant park grill roof restaurant and bp cafe ','25 w. 40th st. between 5th and 6th aves . ',` new york ',212/840 -6500,american,196
-199,c3,' 103 waverly pl . near washington sq. ',` new york ',212/254 -1200,american,197
-200,ct,' 111 e. 22nd st. between park ave. s and lexington ave. ',` new york ',212/995 -8500,french,198
-201,` cafe bianco ',' 1486 2nd ave. between 77th and 78th sts . ',` new york ',212/988 -2655,` coffee bar ',199
-202,` cafe botanica ',' 160 central park s ',` new york ',212/484 -5120,french,200
-203,` cafe la fortuna ','69 w. 71st st. ',` new york ',212/724 -5846,` coffee bar ',201
-204,` cafe luxembourg ',' 200 w. 70th st. ',` new york ',212/873 -7411,french,202
-205,` cafe pierre ',' 2 e. 61st st. ',` new york ',212/940 -8185,french,203
-206,` cafe centro ',' 200 park ave. between 45th st. and vanderbilt ave. ',` new york ',212/818 -1222,french,204
-207,` cafe fes ',' 246 w. 4th st. at charles st. ',` new york ',212/924 -7653,mediterranean,205
-208,` caffe dante ','81 macdougal st. between houston and bleeker sts . ',` new york ',212/982 -5275,` coffee bar ',206
-209,` caffe dell \ ` artista ','46 greenwich ave. ',` new york ',212/645 -4431,` coffee bar ',207
-210,` caffe lure ',' 169 sullivan st. between houston and bleecker sts . ',` new york ',212/473 -2642,french,208
-211,` caffe reggio ',' 119 macdougal st. between 3rd and bleecker sts . ',` new york ',212/475 -9557,` coffee bar ',209
-212,` caffe roma ',' 385 broome st. at mulberry ',` new york ',212/226 -8413,` coffee bar ',210
-213,` caffe vivaldi ','32 jones st. at bleecker st. ',` new york ',212/691 -7538,` coffee bar ',211
-214,` caffe bondi ristorante ',' 7 w. 20th st. ',` new york ',212/691 -8136,italian,212
-215,` capsouto freres ',' 451 washington st. near watts st. ',` new york ',212/966 -4900,french,213
-216,` captain \ 's table ',' 860 2nd ave. at 46th st. ',` new york ',212/697 -9538,seafood,214
-217,` casa la femme ',' 150 wooster st. between houston and prince sts . ',` new york ',212/505 -0005,` middle eastern ',215
-218,` cendrillon asian grill & marimba bar ','45 mercer st. between broome and grand sts . ',` new york ',212/343 -9012,asian,216
-219,` chez jacqueline ','72 macdougal st. between w. houston and bleecker sts . ',` new york ',212/505 -0727,french,217
-220,chiam,' 160 e. 48th st. ',` new york ',212/371 -2323,asian,218
-221,` china grill ','60 w. 53rd st. ',` new york ',212/333 -7788,american,219
-222,cite,' 120 w. 51st st. ',` new york ',212/956 -7100,french,220
-223,` coco pazzo ','23 e. 74th st. ',` new york ',212/794 -0205,italian,221
-224,` columbus bakery ',' 53rd sts . ',` new york ',212/421 -0334,` coffee bar ',222
-225,` corrado cafe ',' 1013 3rd ave. between 60th and 61st sts . ',` new york ',212/753 -5100,` coffee bar ',223
-226,` cupcake cafe ',' 522 9th ave. at 39th st. ',` new york ',212/465 -1530,` coffee bar ',224
-227,` da nico ',' 164 mulberry st. between grand and broome sts . ',` new york ',212/343 -1212,italian,225
-228,` dean & deluca ',' 121 prince st. ',` new york ',212/254 -8776,` coffee bar ',226
-229,diva,' 341 w. broadway near grand st. ',` new york ',212/941 -9024,italian,227
-230,` dix et sept ',' 181 w. 10th st. ',` new york ',212/645 -8023,french,228
-231,docks,' 633 3rd ave. at 40th st. ',` new york ',' 212 / 986-8080 ',seafood,229
-232,` duane park cafe ',' 157 duane st. between w. broadway and hudson st. ',` new york ',212/732 -5555,american,230
-233,` el teddy \ 's ',' 219 w. broadway between franklin and white sts . ',` new york ',212/941 -7070,mexican,231
-234,'em ily \ 's ',' 1325 5th ave. at 111th st. ',` new york ',212/996 -1212,american,232
-235,'em pire korea ',' 6 e. 32nd st. ',` new york ',212/725 -1333,asian,233
-236,` ernie \ 's ',' 2150 broadway between 75th and 76th sts . ',` new york ',212/496 -1588,american,234
-237,` evergreen cafe ',' 1288 1st ave. at 69th st. ',` new york ',212/744 -3266,asian,235
-238,` f. ille ponte ristorante ','39 desbrosses st. near west st. ',` new york ',212/226 -4621,italian,236
-239,felix,' 340 w. broadway at grand st. ',` new york ',212/431 -0021,french,237
-240,ferrier,'29 e. 65th st. ',` new york ',212/772 -9000,french,238
-241,` fifty seven fifty seven ','57 e. 57th st. ',` new york ',212/758 -5757,american,239
-242,` film center cafe ',' 635 9th ave. between 44th and 45th sts . ',` new york ',' 212 / 262-2525 ',american,240
-243,` fiorello \ 's roman cafe ',' 1900 broadway between 63rd and 64th sts . ',` new york ',212/595 -5330,italian,241
-244,firehouse,' 522 columbus ave. between 85th and 86th sts . ',` new york ',212/595 -3139,american,242
-245,first,'87 1st ave. between 5th and 6th sts . ',` new york ',212/674 -3823,american,243
-246,` fishin eddie ','73 w. 71st st. ',` new york ',212/874 -3474,seafood,244
-247,` fleur de jour ',' 348 e. 62nd st. ',` new york ',212/355 -2020,` coffee bar ',245
-248,flowers,'21 west 17th st. between 5th and 6th aves . ',` new york ',212/691 -8888,american,246
-249,follonico,' 6 w. 24th st. ',` new york ',212/691 -6359,italian,247
-250,` fraunces tavern ','54 pearl st. at broad st. ',` new york ',212/269 -0144,american,248
-251,` french roast ',' 458 6th ave. at 11th st. ',` new york ',212/533 -2233,french,249
-252,` french roast cafe ',' 2340 broadway at 85th st. ',` new york ',212/799 -1533,` coffee bar ',250
-253,` frico bar ',' 402 w. 43rd st. off 9th ave. ',` new york ',212/564 -7272,italian,251
-254,` fujiyama mama ',' 467 columbus ave. between 82nd and 83rd sts . ',` new york ',212/769 -1144,asian,252
-255,` gabriela \ 's ',' 685 amsterdam ave. at 93rd st. ',` new york ',212/961 -0574,mexican,253
-256,` gallagher \ 's ',' 228 w. 52nd st. ',` new york ',212/245 -5336,american,254
-257,` gianni \ 's ','15 fulton st. ',` new york ',212/608 -7300,seafood,255
-258,girafe,' 208 e. 58th st. between 2nd and 3rd aves . ',` new york ',212/752 -3054,italian,256
-259,global,'33 93 2nd ave. between 5th and 6th sts . ',` new york ',212/477 -8427,american,257
-260,` golden unicorn ','18 e. broadway at catherine st. ',` new york ',' 212 / 941-0911 ',asian,258
-261,` grand ticino ',' 228 thompson st. between w. 3rd and bleecker sts . ',` new york ',212/777 -5922,italian,259
-262,halcyon,' 151 w. 54th st. in the rihga royal hotel ',` new york ',212/468 -8888,american,260
-263,` hard rock cafe ',' 221 w. 57th st. ',` new york ',212/489 -6565,american,261
-264,` hi-life restaurant and lounge ',' 1340 1st ave. at 72nd st. ',` new york ',212/249 -3600,american,262
-265,home,'20 cornelia st. between bleecker and w. 4th st. ',` new york ',212/243 -9579,american,263
-266,` hudson river club ',' 4 world financial center ',` new york ',212/786 -1500,american,264
-267,' i trulli ',' 122 e. 27th st. between lexington and park aves . ',` new york ',212/481 -7372,italian,265
-268,` il cortile ',' 125 mulberry st. between canal and hester sts . ',` new york ',212/226 -6060,italian,266
-269,` inca grill ',' 492 broome st. near w. broadway ',` new york ',212/966 -3371,` latin american ',268
-270,indochine,' 430 lafayette st. between 4th st. and astor pl . ',` new york ',212/505 -5111,asian,269
-271,` internet cafe ','82 e. 3rd st. between 1st and 2nd aves . ',` new york ',' 212 / 614-0747 ',` coffee bar ',270
-272,ipanema,'13 w. 46th st. ',` new york ',212/730 -5848,` latin american ',271
-273,` jean lafitte ','68 w. 58th st. ',` new york ',212/751 -2323,french,272
-274,` jewel of india ','15 w. 44th st. ',` new york ',212/869 -5544,asian,273
-275,` jimmy sung \ 's ',' 219 e. 44th st. between 2nd and 3rd aves . ',` new york ',212/682 -5678,asian,274
-276,` joe allen ',' 326 w. 46th st. ',` new york ',212/581 -6464,american,275
-277,` judson grill ',' 152 w. 52nd st. ',` new york ',212/582 -5252,american,276
-278,` l \ ` absinthe ',' 227 e. 67th st. ',` new york ',212/794 -4950,french,277
-279,` l \ ` auberge ',' 1191 1st ave. between 64th and 65th sts . ',` new york ',212/288 -8791,` middle eastern ',278
-280,` l \ ` auberge du midi ',' 310 w. 4th st. between w. 12th and bank sts . ',` new york ',212/242 -4705,french,279
-281,` l \ ` udo ',' 432 lafayette st. near astor pl . ',` new york ',212/388 -0978,french,280
-282,` la reserve ',' 4 w. 49th st. ',` new york ',212/247 -2993,french,281
-283,` lanza restaurant ',' 168 1st ave. between 10th and 11th sts . ',` new york ',212/674 -7014,italian,282
-284,` lattanzi ristorante ',' 361 w. 46th st. ',` new york ',212/315 -0980,italian,283
-285,layla,' 211 w. broadway at franklin st. ',` new york ',212/431 -0700,` middle eastern ',284
-286,` le chantilly ',' 106 e. 57th st. ',` new york ',212/751 -2931,french,285
-287,` le colonial ',' 149 e. 57th st. ',` new york ',' 212 / 752-0808 ',asian,286
-288,` le gamin ','50 macdougal st. between houston and prince sts . ',` new york ',212/254 -4678,` coffee bar ',287
-289,` le jardin ','25 cleveland pl . near spring st. ',` new york ',212/343 -9599,french,288
-290,` le madri ',' 168 w. 18th st. ',` new york ',212/727 -8022,italian,289
-291,` le marais ',' 150 w. 46th st. ',` new york ',212/869 -0900,american,290
-292,` le perigord ',' 405 e. 52nd st. ',` new york ',212/755 -6244,french,291
-293,` le select ',' 507 columbus ave. between 84th and 85th sts . ',` new york ',212/875 -1993,american,292
-294,` les halles ',' 411 park ave. s between 28th and 29th sts . ',` new york ',212/679 -4111,french,293
-295,` lincoln tavern ','51 w. 64th st. ',` new york ',212/721 -8271,american,294
-296,lola,'30 west 22nd st. between 5th and 6th ave. ',` new york ',212/675 -6700,american,295
-297,` lucky strike ','59 grand st. between wooster st. and w. broadway ',` new york ',212/941 -0479,` or 212/941 -0772 american ',296
-298,` mad fish ',' 2182 broadway between 77th and 78th sts . ',` new york ',212/787 -0202,seafood,297
-299,` main street ',' 446 columbus ave. between 81st and 82nd sts . ',` new york ',212/873 -5025,american,298
-300,` mangia e bevi ',' 800 9th ave. at 53rd st. ',` new york ',212/956 -3976,italian,299
-301,` manhattan cafe ',' 1161 1st ave. between 63rd and 64th sts . ',` new york ',212/888 -6556,american,300
-302,` manila garden ',' 325 e. 14th st. between 1st and 2nd aves . ',` new york ',212/777 -6314,asian,301
-303,marichu,' 342 e. 46th st. between 1st and 2nd aves . ',` new york ',212/370 -1866,french,302
-304,` marquet patisserie ','15 e. 12th st. between 5th ave. and university pl . ',` new york ',212/229 -9313,` coffee bar ',303
-305,match,' 160 mercer st. between houston and prince sts . ',` new york ',212/906 -9173,american,304
-306,` matthew \ 's ',' 1030 3rd ave. at 61st st. ',` new york ',212/838 -4343,american,305
-307,` mavalli palace ','46 e. 29th st. ',` new york ',212/679 -5535,asian,306
-308,` milan cafe and coffee bar ',' 120 w. 23rd st. ',` new york ',212/807 -1801,` coffee bar ',307
-309,` monkey bar ','60 e. 54th st. ',` new york ',212/838 -2600,american,308
-310,montien,' 1134 1st ave. between 62nd and 63rd sts . ',` new york ',212/421 -4433,asian,309
-311,` morton \ 's ',' 551 5th ave. at 45th st. ',` new york ',212/972 -3315,american,310
-312,` motown cafe ',' 104 w. 57th st. near 6th ave. ',` new york ',212/581 -8030,american,311
-313,` new york kom tang soot bul house ','32 w. 32nd st. ',` new york ',' 212 / 947-8482 ',asian,312
-314,` new york noodletown ','28 1/2 bowery at bayard st. ',` new york ',212/349 -0923,asian,313
-315,newsbar,' 2 w. 19th st. ',` new york ',212/255 -3996,` coffee bar ',314
-316,odeon,' 145 w. broadway at thomas st. ',` new york ',212/233 -0507,american,315
-317,orso,' 322 w. 46th st. ',` new york ',212/489 -7212,italian,316
-318,` osteria al droge ',' 142 w. 44th st. ',` new york ',212/944 -3643,italian,317
-319,otabe,'68 e. 56th st. ',` new york ',212/223 -7575,asian,318
-320,pacifica,' 138 lafayette st. between canal and howard sts . ',` new york ',212/941 -4168,asian,319
-321,palio,' 151 w. 51st . st. ',` new york ',212/245 -4850,italian,320
-322,pamir,' 1065 1st ave. at 58th st. ',` new york ',212/644 -9258,` middle eastern ',321
-323,` parioli romanissimo ','24 e. 81st st. ',` new york ',212/288 -2391,italian,322
-324,patria,' 250 park ave. s at 20th st. ',` new york ',212/777 -6211,` latin american ',323
-325,` peacock alley ',' 301 park ave. between 49th and 50th sts . ',` new york ',212/872 -4895,french,324
-326,` pen & pencil ',' 205 e. 45th st. ',` new york ',212/682 -8660,american,325
-327,` penang soho ',' 109 spring st. between greene and mercer sts . ',` new york ',212/274 -8883,asian,326
-328,persepolis,' 1423 2nd ave. between 74th and 75th sts . ',` new york ',212/535 -1100,` middle eastern ',327
-329,` planet hollywood ',' 140 w. 57th st. ',` new york ',212/333 -7827,american,328
-330,pomaire,' 371 w. 46th st. off 9th ave. ',` new york ',' 212 / 956-3055 ',` latin american ',329
-331,` popover cafe ',' 551 amsterdam ave. between 86th and 87th sts . ',` new york ',212/595 -8555,american,330
-332,` post house ','28 e. 63rd st. ',` new york ',212/935 -2888,american,331
-333,rain,' 100 w. 82nd st. ',` new york ',212/501 -0776,asian,332
-334,` red tulip ',' 439 e. 75th st. ',` new york ',212/734 -4893,` eastern european ',333
-335,republic,' 37a union sq. w between 16th and 17th sts . ',` new york ',212/627 -7172,asian,335
-336,` roettelle a. g ',' 126 e. 7th st. between 1st ave. and ave. a ',` new york ',212/674 -4140,continental,336
-337,` rosa mexicano ',' 1063 1st ave. at 58th st. ',` new york ',212/753 -7407,mexican,337
-338,` ruth \ 's chris ',' 148 w. 51st st. ',` new york ',212/245 -9600,american,338
-339,s.p.q.r,' 133 mulberry st. between hester and grand sts . ',` new york ',212/925 -3120,italian,339
-340,` sal anthony \ 's ','55 irving pl . ',` new york ',212/982 -9030,italian,340
-341,` sammy \ 's roumanian steak house ',' 157 chrystie st. at delancey st. ',` new york ',212/673 -0330,` east european ',341
-342,` san pietro ','18 e. 54th st. ',` new york ',212/753 -9015,italian,342
-343,` sant ambroeus ',' 1000 madison ave. between 77th and 78th sts . ',` new york ',212/570 -2211,` coffee bar ',343
-344,` sarabeth \ 's kitchen ',' 423 amsterdam ave. between 80th and 81st sts . ',` new york ',212/496 -6280,american,344
-345,` sea grill ','19 w. 49th st. ',` new york ',212/332 -7610,seafood,345
-346,serendipity,' 3 225 e. 60th st. ',` new york ',212/838 -3531,american,346
-347,` seventh regiment mess and bar ',' 643 park ave. at 66th st. ',` new york ',212/744 -4107,american,347
-348,sfuzzi,'58 w. 65th st. ',` new york ',212/873 -3700,american,348
-349,shaan,'57 w. 48th st. ',` new york ',' 212 / 977-8400 ',asian,349
-350,` sofia fabulous pizza ',' 1022 madison ave. near 79th st. ',` new york ',212/734 -2676,italian,350
-351,` spring street natural restaurant & bar ','62 spring st. at lafayette st. ',` new york ',212/966 -0290,american,351
-352,` stage deli ',' 834 7th ave. between 53rd and 54th sts . ',` new york ',212/245 -7850,delicatessen,352
-353,stingray,' 428 amsterdam ave. between 80th and 81st sts . ',` new york ',212/501 -7515,seafood,353
-354,` sweet \ ` n \ ` tart cafe ','76 mott st. at canal st. ',` new york ',212/334 -8088,asian,354
-355,' t salon ',' 143 mercer st. at prince st. ',` new york ',212/925 -3700,` coffee bar ',355
-356,` tang pavillion ','65 w. 55th st. ',` new york ',212/956 -6888,asian,356
-357,tapika,' 950 8th ave. at 56th st. ',` new york ',' 212 / 397-3737 ',american,357
-358,` teresa \ 's ',' 103 1st ave. between 6th and 7th sts . ',` new york ',212/228 -0604,` east european ',358
-359,terrace,' 400 w. 119th st. between amsterdam and morningside aves . ',` new york ',212/666 -9490,continental,359
-360,` the coffee pot ',' 350 9th ave. at 49th st. ',` new york ',212/265 -3566,` coffee bar ',360
-361,` the savannah club ',' 2420 broadway at 89th st. ',` new york ',212/496 -1066,american,361
-362,` trattoria dell \ ` arte ',' 900 7th ave. between 56th and 57th sts . ',` new york ',212/245 -9800,italian,362
-363,triangolo,' 345 e. 83rd st. ',` new york ',212/472 -4488,italian,363
-364,` tribeca grill ',' 375 greenwich st. near franklin st. ',` new york ',212/941 -3900,american,364
-365,` trois jean ',' 154 e. 79th st. between lexington and 3rd aves . ',` new york ',212/988 -4858,` coffee bar ',365
-366,` tse yang ','34 e. 51st st. ',` new york ',212/688 -5447,asian,366
-367,` turkish kitchen ',' 386 3rd ave. between 27th and 28th sts . ',` new york ',212/679 -1810,` middle eastern ',367
-368,` two two two ',' 222 w. 79th st. ',` new york ',212/799 -0400,american,368
-369,` veniero \ 's pasticceria ',' 342 e. 11th st. near 1st ave. ',` new york ',212/674 -7264,` coffee bar ',369
-370,verbena,'54 irving pl . at 17th st. ',` new york ',212/260 -5454,american,370
-371,` victor \ 's cafe ','52 236 w. 52nd st. ',` new york ',212/586 -7714,` latin american ',371
-372,` vince & eddie \ 's ','70 w. 68th st. ',` new york ',212/721 -0068,american,372
-373,vong,' 200 e. 54th st. ',` new york ',212/486 -9592,american,373
-374,` water club ',' 500 e. 30th st. ',` new york ',212/683 -3333,american,374
-375,west,' 63rd street steakhouse 44 w. 63rd st. ',` new york ',212/246 -6363,american,375
-376,xunta,' 174 1st ave. between 10th and 11th sts . ',` new york ',212/614 -0620,mediterranean,376
-377,` zen palate ','34 union sq. e at 16th st. ',` new york ',212/614 -9291,` and 212/614 -9345 asian ',377
-378,zoe,'90 prince st. between broadway and mercer st. ',` new york ',212/966 -6722,american,378
-379,abbey,' 163 ponce de leon ave. ',atlanta,404/876 -8532,international,379
-380,` aleck \ 's barbecue heaven ',' 783 martin luther king jr. dr. ',atlanta,404/525 -2062,barbecue,380
-381,` annie \ 's thai castle ',' 3195 roswell rd. ',atlanta,404/264 -9546,asian,381
-382,anthonys,' 3109 piedmont rd. . just south of peachtree rd. ',atlanta,404/262 -7379,american,382
-383,` atlanta fish market ',' 265 pharr rd. ',atlanta,404/262 -3165,american,383
-384,` beesley \ 's of buckhead ',' 260 e. paces ferry road ',atlanta,404/264 -1334,continental,384
-385,` bertolini \ 's ',' 3500 peachtree rd. . phipps plaza ',atlanta,404/233 -2333,italian,385
-386,bistango,' 1100 peachtree st. ',atlanta,404/724 -0901,mediterranean,386
-387,` cafe renaissance ',' 7050 jimmy carter blvd. . norcross ',atlanta,770/441 -- 0291,american,387
-388,` camille \ 's ',' 1186 n. highland ave. ',atlanta,404/872 -7203,italian,388
-389,cassis,' 3300 peachtree rd. . grand hyatt ',atlanta,404/365 -8100,mediterranean,389
-390,` city grill ','50 hurt plaza ',atlanta,404/524 -2489,international,390
-391,` coco loco ','40 buckhead crossing mall on the sidney marcus blvd. ',atlanta,404/364 -0212,caribbean,391
-392,` colonnade restaurant ',' 1879 cheshire bridge rd. ',atlanta,404/874 -5642,southern,392
-393,` dante \ 's down the hatch buckhead ',' 3380 peachtree rd. ',atlanta,404/266 -1600,continental,393
-394,` dante \ 's down the hatch ',` underground underground mall underground atlanta ',atlanta,404/577 -1800,continental,394
-395,` fat matt \ 's rib shack ',' 1811 piedmont ave. near cheshire bridge rd. ',atlanta,404/607 -1622,barbecue,395
-396,` french quarter food shop ',' 923 peachtree st. at 8th st. ',atlanta,404/875 -2489,southern,396
-397,` holt bros. bar-b-q ',' 6359 jimmy carter blvd. . at buford hwy . norcross ',atlanta,770/242 -3984,barbecue,397
-398,` horseradish grill ',' 4320 powers ferry rd. ',atlanta,404/255 -7277,southern,398
-399,` hsu \ 's gourmet ',' 192 peachtree center ave. at international blvd. ',atlanta,404/659 -2788,asian,399
-400,` imperial fez ',' 2285 peachtree rd. . peachtree battle condominium ',atlanta,404/351 -0870,mediterranean,400
-401,kamogawa,' 3300 peachtree rd. . grand hyatt ',atlanta,404/841 -0314,asian,401
-402,` la grotta at ravinia dunwoody rd. ',` holiday inn/crowne plaza at ravinia dunwoody ',atlanta,770/395 -9925,italian,402
-403,` little szechuan ',' c buford hwy . northwoods plaza doraville ',atlanta,770/451 -0192,asian,403
-404,` lowcountry barbecue ',' 6301 roswell rd. . sandy springs plaza sandy springs ',atlanta,404/255 -5160,barbecue,404
-405,` luna si ',' 1931 peachtree rd. ',atlanta,404/355 -5993,continental,405
-406,` mambo restaurante cubano ',' 1402 n. highland ave. ',atlanta,404/874 -2626,caribbean,406
-407,` mckinnon \ 's louisiane ',' 3209 maple dr. ',atlanta,404/237 -1313,southern,407
-408,` mi spia dunwoody rd. ',` park place across from perimeter mall dunwoody ',atlanta,770/393 -1333,italian,408
-409,` nickiemoto \ 's : a sushi bar ',' 247 buckhead ave. east village sq. ',atlanta,404/842 -0334,fusion,409
-410,palisades,' 1829 peachtree rd. ',atlanta,404/350 -6755,continental,410
-411,` pleasant peasant ',' 555 peachtree st. at linden ave. ',atlanta,404/874 -3223,american,411
-412,pricci,' 500 pharr rd. ',atlanta,404/237 -2941,italian,412
-413,` r.j. \ 's uptown kitchen & wine bar ',' 870 n. highland ave. ',atlanta,404/875 -7775,american,413
-414,` rib ranch ','25 irby ave. ',atlanta,404/233 -7644,barbecue,414
-415,` sa tsu ki ',' 3043 buford hwy . ',atlanta,404/325 -5285,asian,415
-416,` sato sushi and thai ',' 6050 peachtree pkwy . norcross ',atlanta,770/449 -0033,asian,416
-417,` south city kitchen ',' 1144 crescent ave. ',atlanta,404/873 -7358,southern,417
-418,` south of france ',' 2345 cheshire bridge rd. ',atlanta,404/325 -6963,french,418
-419,` stringer \ 's fish camp and oyster bar ',' 3384 shallowford rd. . chamblee ',atlanta,770/458 -7145,southern,419
-420,` sundown cafe ',' 2165 cheshire bridge rd. ',atlanta,404/321 -1118,american,420
-421,` taste of new orleans ',' 889 w. peachtree st. ',atlanta,404/874 -5535,southern,421
-422,tomtom,' 3393 peachtree rd. ',atlanta,404/264 -1163,continental,422
-423,` antonio \ 's ',' 3700 w. flamingo ',` las vegas ',702/252 -7737,italian,423
-424,` bally \ 's big kitchen ',' 3645 las vegas blvd. s ',` las vegas ',702/739 -4111,buffets,424
-425,` bamboo garden ',' 4850 flamingo rd. ',` las vegas ',702/871 -3262,asian,425
-426,` battista \ 's hole in the wall ',' 4041 audrie st. at flamingo rd. ',` las vegas ',702/732 -1424,italian,426
-427,` bertolini \ 's ',' 3570 las vegas blvd. s ',` las vegas ',702/735 -4663,italian,427
-428,` binion \ 's coffee shop ',' 128 fremont st. ',` las vegas ',702/382 -1600,` coffee shops/diners ',428
-429,bistro,' 3400 las vegas blvd. s ',` las vegas ',702/791 -7111,continental,429
-430,broiler,' 4111 boulder hwy . ',` las vegas ',702/432 -7777,american,430
-431,` bugsy \ 's diner ',' 3555 las vegas blvd. s ',` las vegas ',702/733 -3111,` coffee shops/diners ',431
-432,` cafe michelle ',' 1350 e. flamingo rd. ',` las vegas ',702/735 -8686,american,432
-433,` cafe roma ',' 3570 las vegas blvd. s ',` las vegas ',702/731 -7547,` coffee shops/diners ',433
-434,` capozzoli \ 's ',' 3333 s. maryland pkwy . ',` las vegas ',702/731 -5311,italian,434
-435,` carnival world ',' 3700 w. flamingo rd. ',` las vegas ',702/252 -7777,buffets,435
-436,` center stage plaza hotel ',' 1 main st. ',` las vegas ',702/386 -2512,american,436
-437,` circus circus ',' 2880 las vegas blvd. s ',` las vegas ',702/734 -0410,buffets,437
-438,'em press court ',' 3570 las vegas blvd. s ',` las vegas ',702/731 -7888,asian,438
-439,feast,' 2411 w. sahara ave. ',` las vegas ',702/367 -2411,buffets,439
-440,` golden nugget hotel ',' 129 e. fremont st. ',` las vegas ',702/385 -7111,buffets,440
-441,` golden steer ',' 308 w. sahara ave. ',` las vegas ',702/384 -4470,` steak houses ',441
-442,` lillie langtry \ 's ',' 129 e. fremont st. ',` las vegas ',702/385 -7111,asian,442
-443,` mandarin court ',' 1510 e. flamingo rd. ',` las vegas ',702/737 -1234,asian,443
-444,` margarita \ 's mexican cantina ',' 3120 las vegas blvd. s ',` las vegas ',702/794 -8200,mexican,444
-445,` mary \ 's diner ',' 5111 w. boulder hwy . ',` las vegas ',702/454 -8073,` coffee shops/diners ',445
-446,mikado,' 3400 las vegas blvd. s ',` las vegas ',702/791 -7111,asian,446
-447,pamplemousse,' 400 e. sahara ave. ',` las vegas ',702/733 -2066,continental,447
-448,` ralph \ 's diner ',' 3000 las vegas blvd. s ',` las vegas ',702/732 -6330,` coffee shops/diners ',448
-449,` the bacchanal ',' 3570 las vegas blvd. s ',` las vegas ',702/731 -7525,` only in las vegas ',449
-450,venetian,' 3713 w. sahara ave. ',` las vegas ',702/876 -4190,italian,450
-451,` viva mercado \ 's ',' 6182 w. flamingo rd. ',` las vegas ',702/871 -8826,mexican,451
-452,` yolie \ 's ',' 3900 paradise rd. ',` las vegas ',702/794 -0700,` steak houses ',452
-453,2223,' 2223 market st. ',` san francisco ',415/431 -0692,american,453
-454,acquarello,' 1722 sacramento st. ',` san francisco ',415/567 -5432,italian,454
-455,` bardelli \ 's ',' 243 o \ ` farrell st. ',` san francisco ',415/982 -0243,` old san francisco ',455
-456,betelnut,' 2030 union st. ',` san francisco ',415/929 -8855,asian,456
-457,` bistro roti ',' 155 steuart st. ',` san francisco ',415/495 -6500,french,457
-458,bix,'56 gold st. ',` san francisco ',415/433 -6300,american,458
-459,bizou,' 598 fourth st. ',` san francisco ',415/543 -2222,french,459
-460,` buca giovanni ',' 800 greenwich st. ',` san francisco ',415/776 -7766,italian,460
-461,` cafe adriano ',' 3347 fillmore st. ',` san francisco ',415/474 -4180,italian,461
-462,` cafe marimba ',' 2317 chestnut st. ',` san francisco ',415/776 -1506,` mexican/latin american/spanish ',462
-463,` california culinary academy ',' 625 polk st. ',` san francisco ',415/771 -3500,french,463
-464,` capp \ 's corner ',' 1600 powell st. ',` san francisco ',415/989 -2589,italian,464
-465,carta,' 1772 market st. ',` san francisco ',415/863 -3516,american,465
-466,chevys,' 4th and howard sts . ',` san francisco ',415/543 -8060,` mexican/latin american/spanish ',466
-467,` cypress club ',' 500 jackson st. ',` san francisco ',415/296 -8555,american,467
-468,` des alpes ',' 732 broadway ',` san francisco ',415/788 -9900,french,468
-469,faz,' 161 sutter st. ',` san francisco ',415/362 -0404,` greek and middle eastern ',469
-470,` fog city diner ',' 1300 battery st. ',` san francisco ',415/982 -2000,american,470
-471,` garden court ',` market and new montgomery sts . ',` san francisco ',415/546 -5011,` old san francisco ',471
-472,` gaylord \ 's ',` ghirardelli sq. ',` san francisco ',415/771 -8822,asian,472
-473,` grand cafe hotel monaco ',' 501 geary st. ',` san francisco ',415/292 -0101,american,473
-474,greens,` bldg. a fort mason ',` san francisco ',415/771 -6222,vegetarian,474
-475,` harbor village ',' 4 embarcadero center ',` san francisco ',415/781 -8833,asian,475
-476,` harris \ '',' 2100 van ness ave. ',` san francisco ',415/673 -1888,` steak houses ',476
-477,` harry denton \ 's ',' 161 steuart st. ',` san francisco ',415/882 -1333,american,477
-478,` hayes street grill ',' 320 hayes st. ',` san francisco ',415/863 -5545,seafood,478
-479,helmand,' 430 broadway ',` san francisco ',415/362 -0641,` greek and middle eastern ',479
-480,` hong kong flower lounge ',' 5322 geary blvd. ',` san francisco ',415/668 -8998,asian,480
-481,` hong kong villa ',' 2332 clement st. ',` san francisco ',415/752 -8833,asian,481
-482,` hyde street bistro ',' 1521 hyde st. ',` san francisco ',415/441 -7778,italian,482
-483,` il fornaio levi \ 's plaza ',' 1265 battery st. ',` san francisco ',415/986 -0100,italian,483
-484,` izzy \ 's steak & chop house ',' 3345 steiner st. ',` san francisco ',415/563 -0487,` steak houses ',484
-485,` jack \ 's ',' 615 sacramento st. ',` san francisco ',415/986 -9854,` old san francisco ',485
-486,` kabuto sushi ',' 5116 geary blvd. ',` san francisco ',415/752 -5652,asian,486
-487,` katia \ 's ',' 600 5th ave. ',` san francisco ',415/668 -9292,'',487
-488,` kuleto \ 's ',' 221 powell st. ',` san francisco ',415/397 -7720,italian,488
-489,` kyo-ya . sheraton palace hotel ',' 2 new montgomery st. at market st. ',` san francisco ',415/546 -5000,asian,489
-490,` l \ ` osteria del forno ',' 519 columbus ave. ',` san francisco ',415/982 -1124,italian,490
-491,` le central ',' 453 bush st. ',` san francisco ',415/391 -2233,french,491
-492,` le soleil ',' 133 clement st. ',` san francisco ',415/668 -4848,asian,492
-493,` macarthur park ',' 607 front st. ',` san francisco ',415/398 -5700,american,493
-494,manora,' 3226 mission st. ',` san francisco ',415/861 -6224,asian,494
-495,maykadeh,' 470 green st. ',` san francisco ',415/362 -8286,` greek and middle eastern ',495
-496,` mccormick & kuleto \ 's ',` ghirardelli sq. ',` san francisco ',415/929 -1730,seafood,496
-497,millennium,' 246 mcallister st. ',` san francisco ',415/487 -9800,vegetarian,497
-498,` moose \ 's ',' 1652 stockton st. ',` san francisco ',415/989 -7800,mediterranean,498
-499,` north india ',' 3131 webster st. ',` san francisco ',415/931 -1556,asian,499
-500,` one market ',' 1 market st. ',` san francisco ',415/777 -5577,american,500
-501,oritalia,' 1915 fillmore st. ',` san francisco ',415/346 -1333,italian,501
-502,` pacific pan pacific hotel ',' 500 post st. ',` san francisco ',415/929 -2087,french,502
-503,` palio d \ ` asti ',' 640 sacramento st. ',` san francisco ',415/395 -9800,italian,503
-504,` pane e vino ',' 3011 steiner st. ',` san francisco ',415/346 -2111,italian,504
-505,pastis,' 1015 battery st. ',` san francisco ',415/391 -2555,french,505
-506,` perry \ 's ',' 1944 union st. ',` san francisco ',415/922 -9022,american,506
-507,` r & g lounge ',' 631 b kearny st. ',` san francisco ',415/982 -7877,` or 415/982 -3811 asian ',507
-508,rubicon,' 558 sacramento st. ',` san francisco ',415/434 -4100,american,508
-509,rumpus,' 1 tillman pl . ',` san francisco ',415/421 -2300,american,509
-510,sanppo,' 1702 post st. ',` san francisco ',415/346 -3486,asian,510
-511,` scala \ 's bistro ',' 432 powell st. ',` san francisco ',415/395 -8555,italian,511
-512,` south park cafe ',' 108 south park ',` san francisco ',415/495 -7275,french,512
-513,` splendido embarcadero ',4,` san francisco ',415/986 -3222,mediterranean,513
-514,stars,' 150 redwood alley ',` san francisco ',415/861 -7827,american,514
-515,` stars cafe ',' 500 van ness ave. ',` san francisco ',415/861 -4344,american,515
-516,` stoyanof \ 's cafe ',' 1240 9th ave. ',` san francisco ',415/664 -3664,` greek and middle eastern ',516
-517,` straits cafe ',' 3300 geary blvd. ',` san francisco ',415/668 -1783,asian,517
-518,suppenkuche,' 601 hayes st. ',` san francisco ',415/252 -9289,russian/german,518
-519,` tadich grill ',' 240 california st. ',` san francisco ',415/391 -2373,seafood,519
-520,` the heights ',' 3235 sacramento st. ',` san francisco ',415/474 -8890,french,520
-521,thepin,' 298 gough st. ',` san francisco ',415/863 -9335,asian,521
-522,` ton kiang ',' 3148 geary blvd. ',` san francisco ',415/752 -4440,asian,522
-523,vertigo,' 600 montgomery st. ',` san francisco ',415/433 -7250,mediterranean,523
-524,` vivande porta via ',' 2125 fillmore st. ',` san francisco ',415/346 -4430,italian,524
-525,` vivande ristorante ',' 670 golden gate ave. ',` san francisco ',415/673 -9245,italian,525
-526,` world wrapps ',' 2257 chestnut st. ',` san francisco ',415/563 -9727,american,526
-527,` wu kong ',' 101 spear st. ',` san francisco ',415/957 -9300,asian,527
-528,` yank sing ',' 427 battery st. ',` san francisco ',415/541 -4949,asian,528
-529,` yaya cuisine ',' 1220 9th ave. ',` san francisco ',415/566 -6966,` greek and middle eastern ',529
-530,` yoyo tsumami bistro ',' 1611 post st. ',` san francisco ',415/922 -7788,french,530
-531,zarzuela,' 2000 hyde st. ',` san francisco ',415/346 -0800,` mexican/latin american/spanish ',531
-532,` zuni cafe & grill ',' 1658 market st. ',` san francisco ',415/552 -2522,mediterranean,532

datasets/Fodors-Zagats/tableB.csv

@@ -1,332 +0,0 @@
-id,name,addr,city,phone,type,class
-0,` apple pan the ',' 10801 w. pico blvd. ',` west la ',310-475-3585,american,534
-1,` asahi ramen ',' 2027 sawtelle blvd. ',` west la ',310-479-2231,` noodle shops ',535
-2,` baja fresh ',' 3345 kimber dr. ',` westlake village ',805-498-4049,mexican,536
-3,` belvedere the ',' 9882 little santa monica blvd. ',` beverly hills ',310-788-2306,` pacific new wave ',537
-4,` benita \ 's frites ',' 1433 third st. promenade ',` santa monica ',310-458-2889,` fast food ',538
-5,` bernard \ 's ',' 515 s. olive st. ',` los angeles ',213-612-1580,continental,539
-6,` bistro 45 ','45 s. mentor ave. ',pasadena,818-795-2478,californian,540
-7,` brent \ 's deli ',' 19565 parthenia ave. ',northridge,818-886-5679,delis,541
-8,` brighton coffee shop ',' 9600 brighton way ',` beverly hills ',310-276-7732,` coffee shops ',542
-9,` bristol farms market cafe ',' 1570 rosecrans ave. s. ',pasadena,310-643-5229,californian,543
-10,` bruno \ 's ',' 3838 centinela ave. ',` mar vista ',310-397-5703,italian,544
-11,` cafe \ '50s ',' 838 lincoln blvd. ',venice,310-399-1955,american,545
-12,` cafe blanc ',' 9777 little santa monica blvd. ',` beverly hills ',310-888-0108,` pacific new wave ',546
-13,` cassell \ 's ',' 3266 w. sixth st. ',la,213-480-8668,hamburgers,547
-14,` chez melange ',' 1716 pch ',` redondo beach ',310-540-1222,eclectic,548
-15,diaghilev,' 1020 n. san vicente blvd. ',` w. hollywood ',310-854-1111,russian,549
-16,` don antonio \ 's ',' 1136 westwood blvd. ',westwood,310-209-1422,italian,550
-17,` duke \ 's ',' 8909 sunset blvd. ',` w. hollywood ',310-652-3100,` coffee shops ',551
-18,` falafel king ',' 1059 broxton ave. ',westwood,310-208-4444,` middle eastern ',552
-19,` feast from the east ',' 1949 westwood blvd. ',` west la ',310-475-0400,chinese,553
-20,` gumbo pot the ',' 6333 w. third st. ',la,213-933-0358,cajun/creole,554
-21,` hollywood hills coffee shop ',' 6145 franklin ave. ',hollywood,213-467-7678,` coffee shops ',555
-22,` indo cafe ',' 10428 1/2 national blvd. ',la,310-815-1290,indonesian,556
-23,` jan \ 's family restaurant ',' 8424 beverly blvd. ',la,213-651-2866,` coffee shops ',557
-24,jiraffe,' 502 santa monica blvd ',` santa monica ',310-917-6671,californian,558
-25,` jody maroni \ 's sausage kingdom ',' 2011 ocean front walk ',venice,310-306-1995,` hot dogs ',559
-26,` joe \ 's ',' 1023 abbot kinney blvd. ',venice,310-399-5811,` american ( new ) ',560
-27,` john o \ ` groats ',' 10516 w. pico blvd. ',` west la ',310-204-0692,` coffee shops ',561
-28,` johnnie \ 's pastrami ',' 4017 s. sepulveda blvd. ',` culver city ',310-397-6654,delis,562
-29,` johnny reb \ 's southern smokehouse ',' 4663 long beach blvd. ',` long beach ',310-423-7327,southern/soul,563
-30,` johnny rockets ( la ) ',' 7507 melrose ave. ',la,213-651-3361,american,564
-31,` killer shrimp ',' 4000 colfax ave. ',` studio city ',818-508-1570,seafood,565
-32,` kokomo cafe ',' 6333 w. third st. ',la,213-933-0773,american,566
-33,` koo koo roo ',' 8393 w. beverly blvd. ',la,213-655-9045,chicken,567
-34,` la cachette ',' 10506 little santa monica blvd. ',` century city ',310-470-4992,` french ( new ) ',568
-35,` la salsa ( la ) ',' 22800 pch ',malibu,310-456-6299,mexican,569
-36,` la serenata de garibaldi ',' 1842 e. first ',` st. boyle hts . ',213-265-2887,mexican/tex-mex,570
-37,` langer \ 's ',' 704 s. alvarado st. ',la,213-483-8050,delis,571
-38,` local nochol ',' 30869 thousand oaks blvd. ',` westlake village ',818-706-7706,` health food ',572
-39,` main course the ',' 10509 w. pico blvd. ',` rancho park ',310-475-7564,american,573
-40,` mani \ 's bakery & espresso bar ',' 519 s. fairfax ave. ',la,213-938-8800,desserts,574
-41,` martha \ 's ',' 22nd street grill 25 22nd ',` st. hermosa beach ',310-376-7786,american,575
-42,` maxwell \ 's cafe ',' 13329 washington blvd. ',` marina del rey ',310-306-7829,american,576
-43,` michael \ 's ( los angeles ) ',' 1147 third st. ',` santa monica ',310-451-0843,californian,577
-44,mishima,' 8474 w. third st. ',la,213-782-0181,` noodle shops ',578
-45,` mo better meatty meat ',' 7261 melrose ave. ',la,213-935-5280,hamburgers,579
-46,` mulberry st. ',' 17040 ventura blvd. ',encino,818-906-8881,pizza,580
-47,` ocean park cafe ',' 3117 ocean park blvd. ',` santa monica ',310-452-5728,american,581
-48,` ocean star ',' 145 n. atlantic blvd. ',` monterey park ',818-308-2128,seafood,582
-49,` original pantry bakery ',' 875 s. figueroa st. downtown ',la,213-627-6879,diners,583
-50,` parkway grill ',' 510 s. arroyo pkwy . ',pasadena,818-795-1001,californian,584
-51,` pho hoa ',' 642 broadway ',chinatown,213-626-5530,vietnamese,585
-52,` pink \ 's famous chili dogs ',' 709 n. la brea ave. ',la,213-931-4223,` hot dogs ',586
-53,` poquito mas ',' 2635 w. olive ave. ',burbank,818-563-2252,mexican,587
-54,r-23,' 923 e. third st. ',` los angeles ',213-687-7178,japanese,588
-55,` rae \ 's ',' 2901 pico blvd. ',` santa monica ',310-828-7937,diners,589
-56,` rubin \ 's red hots ',' 15322 ventura blvd. ',encino,818-905-6515,` hot dogs ',590
-57,` ruby \ 's ( la ) ','45 s. fair oaks ave. ',pasadena,818-796-7829,diners,591
-58,` russell \ 's burgers ',' 1198 pch ',` seal beach ',310-596-9556,hamburgers,592
-59,` ruth \ 's chris steak house ( los angeles ) ',' 224 s. beverly dr. ',` beverly hills ',310-859-8744,steakhouses,593
-60,shiro,' 1505 mission st. s. ',pasadena,818-799-4774,` pacific new wave ',594
-61,` sushi nozawa ',' 11288 ventura blvd. ',` studio city ',818-508-7017,japanese,595
-62,` sweet lady jane ',' 8360 melrose ave. ',la,213-653-7145,desserts,596
-63,taiko,' 11677 san vicente blvd. ',brentwood,310-207-7782,` noodle shops ',597
-64,` tommy \ 's ',' 2575 beverly blvd. ',la,213-389-9060,hamburgers,598
-65,` uncle bill \ 's pancake house ',' 1305 highland ave. ',` manhattan beach ',310-545-5177,diners,599
-66,` water grill ',' 544 s. grand ave. ',` los angeles ',213-891-0900,seafood,600
-67,` zankou chicken ',' 1415 e. colorado st. ',glendale,818-244-1937,` middle eastern ',601
-68,` afghan kebab house ',' 764 ninth ave. ',` new york city ',212-307-1612,afghan,602
-69,arcadia,'21 e. 62nd st. ',` new york city ',212-223-2900,` american ( new ) ',603
-70,` benny \ 's burritos ','93 ave. a ',` new york city ',212-254-2054,mexican,604
-71,` cafe con leche ',' 424 amsterdam ave. ',` new york city ',212-595-7000,cuban,605
-72,` corner bistro ',' 331 w. fourth st. ',` new york city ',212-242-9502,hamburgers,606
-73,` cucina della fontana ',' 368 bleecker st. ',` new york city ',212-242-0636,italian,607
-74,` cucina di pesce ','87 e. fourth st. ',` new york city ',212-260-6800,seafood,608
-75,darbar,'44 w. 56th st. ',` new york city ',212-432-7227,indian,609
-76,` ej \ 's luncheonette ',' 432 sixth ave. ',` new york city ',212-473-5555,diners,610
-77,` edison cafe ',' 228 w. 47th st. ',` new york city ',212-840-5000,diners,611
-78,` elias corner ',' 24-02 31st st. ',queens,718-932-1510,greek,612
-79,` good enough to eat ',' 483 amsterdam ave. ',` new york city ',212-496-0163,american,613
-80,` gray \ 's papaya ',' 2090 broadway ',` new york city ',212-799-0243,` hot dogs ',614
-81,` il mulino ','86 w. third st. ',` new york city ',212-673-3783,italian,615
-82,` jackson diner ',' 37-03 74th st. ',queens,718-672-1232,indian,616
-83,` joe \ 's shanghai ',' 9 pell st. ',queens,718-539-3838,chinese,617
-84,` john \ 's pizzeria ','48 w. 65th st. ',` new york city ',212-721-7001,pizza,618
-85,` kelley & ping ',' 127 greene st. ',` new york city ',212-228-1212,pan-asian,619
-86,kiev,' 117 second ave. ',` new york city ',212-674-4040,ukrainian,620
-87,` kuruma zushi ',' 2nd fl . ',` new york city ',212-317-2802,japanese,621
-88,` la caridad ',' 2199 broadway ',` new york city ',212-874-2780,cuban,622
-89,` la grenouille ',' 3 e. 52nd st. ',` new york city ',212-752-1495,` french ( classic ) ',623
-90,` lemongrass grill ',' 61a seventh ave. ',brooklyn,718-399-7100,thai,624
-91,` lombardi \ 's ','32 spring st. ',` new york city ',212-941-7994,pizza,625
-92,` marnie \ 's noodle shop ',' 466 hudson st. ',` new york city ',212-741-3214,asian,626
-93,menchanko-tei,'39 w. 55th st. ',` new york city ',212-247-1585,japanese,627
-94,` mitali east-west ',' 296 bleecker st. ',` new york city ',212-989-1367,indian,628
-95,` monsoon ( ny ) ',' 435 amsterdam ave. ',` new york city ',212-580-8686,thai,629
-96,moustache,' 405 atlantic ave. ',brooklyn,718-852-5555,` middle eastern ',630
-97,nobu,' 105 hudson st. ',` new york city ',212-219-0500,japanese,631
-98,` one if by land tibs ','17 barrow st. ',` new york city ',212-228-0822,continental,632
-99,` oyster bar ',` lower level ',` new york city ',212-490-6650,seafood,633
-100,palm,' 837 second ave. ',` new york city ',212-687-2953,steakhouses,634
-101,` palm too ',' 840 second ave. ',` new york city ',212-697-5198,steakhouses,635
-102,` patsy \ 's pizza ','19 old fulton st. ',brooklyn,718-858-4300,pizza,636
-103,` peter luger steak house ',' 178 broadway ',brooklyn,718-387-7400,steakhouses,637
-104,` rose of india ',' 308 e. sixth st. ',` new york city ',212-533-5011,indian,638
-105,` sam \ 's noodle shop ',' 411 third ave. ',` new york city ',212-213-2288,chinese,639
-106,` sarabeth \ 's ',' 1295 madison ave. ',` new york city ',212-410-7335,american,640
-107,` sparks steak house ',' 210 e. 46th st. ',` new york city ',212-687-4855,steakhouses,641
-108,` stick to your ribs ',' 5-16 51st ave. ',queens,718-937-3030,bbq,642
-109,sushisay,'38 e. 51st st. ',` new york city ',212-755-1780,japanese,643
-110,` sylvia \ 's ',' 328 lenox ave. ',` new york city ',212-996-0660,southern/soul,644
-111,` szechuan hunan cottage ',' 1588 york ave. ',` new york city ',212-535-5223,chinese,645
-112,` szechuan kitchen ',' 1460 first ave. ',` new york city ',212-249-4615,chinese,646
-113,` teresa \ 's ','80 montague st. ',queens,718-520-2910,polish,647
-114,` thai house cafe ',' 151 hudson st. ',` new york city ',212-334-1085,thai,648
-115,` thailand restaurant ',' 106 bayard st. ',` new york city ',212-349-3132,thai,649
-116,veselka,' 144 second ave. ',` new york city ',212-228-9682,ukrainian,650
-117,` westside cottage ',' 689 ninth ave. ',` new york city ',212-245-0800,chinese,651
-118,` windows on the world ',' 107th fl . ',` new york city ',212-524-7000,eclectic,652
-119,` wollensky \ 's grill ',' 205 e. 49th st. ',` new york city ',212-753-0444,steakhouses,653
-120,yama,' 122 e. 17th st. ',` new york city ',212-475-0969,japanese,654
-121,zarela,' 953 second ave. ',` new york city ',212-644-6740,mexican,655
-122,` andre \ 's french restaurant ',' 401 s. 6th st. ',` las vegas ',702-385-5016,` french ( classic ) ',656
-123,` buccaneer bay club ',' 3300 las vegas blvd. s. ',` las vegas ',702-894-7350,continental,657
-124,` buzio \ 's in the rio ',' 3700 w. flamingo rd. ',` las vegas ',702-252-7697,seafood,658
-125,'em eril \ 's new orleans fish house ',' 3799 las vegas blvd. s. ',` las vegas ',702-891-7374,seafood,659
-126,` fiore rotisserie & grille ',' 3700 w. flamingo rd. ',` las vegas ',702-252-7702,italian,660
-127,` hugo \ 's cellar ',' 202 e. fremont st. ',` las vegas ',702-385-4011,continental,661
-128,` madame ching \ 's ',' 3300 las vegas blvd. s. ',` las vegas ',702-894-7111,asian,662
-129,` mayflower cuisinier ',' 4750 w. sahara ave. ',` las vegas ',702-870-8432,chinese,663
-130,` michael \ 's ( las vegas ) ',' 3595 las vegas blvd. s. ',` las vegas ',702-737-7111,continental,664
-131,` monte carlo ',' 3145 las vegas blvd. s. ',` las vegas ',702-733-4524,` french ( new ) ',665
-132,moongate,' 3400 las vegas blvd. s. ',` las vegas ',702-791-7352,chinese,666
-133,` morton \ 's of chicago ( las vegas ) ',' 3200 las vegas blvd. s. ',` las vegas ',702-893-0703,steakhouses,667
-134,` nicky blair \ 's ',' 3925 paradise rd. ',` las vegas ',702-792-9900,italian,668
-135,` piero \ 's restaurant ',' 355 convention center dr. ',` las vegas ',702-369-2305,italian,669
-136,` spago ( las vegas ) ',' 3500 las vegas blvd. s. ',` las vegas ',702-369-6300,californian,670
-137,` steakhouse the ',' 128 e. fremont st. ',` las vegas ',702-382-1600,steakhouses,671
-138,` stefano \ 's ',' 129 fremont st. ',` las vegas ',702-385-7111,italian,672
-139,` sterling brunch ',' 3645 las vegas blvd. s. ',` las vegas ',702-739-4651,eclectic,673
-140,` tre visi ',' 3799 las vegas blvd. s. ',` las vegas ',702-891-7331,italian,674
-141,' 103 west ',' 103 w. paces ferry rd. ',atlanta,404-233-5993,continental,675
-142,` alon \ 's at the terrace ',' 659 peachtree st. ',atlanta,404-724-0444,sandwiches,676
-143,` baker \ 's cajun cafe ',' 1134 euclid ave. ',atlanta,404-223-5039,cajun/creole,677
-144,` barbecue kitchen ',' 1437 virginia ave. ',atlanta,404-766-9906,bbq,678
-145,` bistro the ','56 e. andrews dr. nw ',atlanta,404-231-5733,` french bistro ',679
-146,` bobby & june \ 's kountry kitchen ',' 375 14th st. ',atlanta,404-876-3872,southern/soul,680
-147,` bradshaw \ 's restaurant ',' 2911 s. pharr court ',atlanta,404-261-7015,southern/soul,681
-148,` brookhaven cafe ',' 4274 peachtree rd. ',atlanta,404-231-5907,vegetarian,682
-149,` cafe sunflower ',' 5975 roswell rd. ',atlanta,404-256-1675,` health food ',683
-150,canoe,' 4199 paces ferry rd. ',atlanta,770-432-2663,` american ( new ) ',684
-151,` carey \ 's ',' 1021 cobb pkwy . se ',marietta,770-422-8042,hamburgers,685
-152,` carey \ 's corner ',' 1215 powers ferry rd. ',marietta,770-933-0909,hamburgers,686
-153,chops,'70 w. paces ferry rd. ',atlanta,404-262-2675,steakhouses,687
-154,chopstix,' 4279 roswell rd. ',atlanta,404-255-4868,chinese,688
-155,` deacon burton \ 's soulfood restaurant ',' 1029 edgewood ave. se ',atlanta,404-523-1929,southern/soul,689
-156,eats,' 600 ponce de leon ave. ',atlanta,404-888-9149,italian,690
-157,` flying biscuit the ',' 1655 mclendon ave. ',atlanta,404-687-8888,eclectic,691
-158,frijoleros,' 1031 peachtree st. ne ',atlanta,404-892-8226,tex-mex,692
-159,` greenwood \ 's ',' 1087 green st. ',roswell,770-992-5383,southern/soul,693
-160,` harold \ 's barbecue ',' 171 mcdonough blvd. ',atlanta,404-627-9268,bbq,694
-161,` havana sandwich shop ',' 2905 buford hwy . ',atlanta,404-636-4094,cuban,695
-162,` house of chan ',' 2469 cobb pkwy . ',smyrna,770-955-9444,chinese,696
-163,` indian delights ',' 3675 satellite blvd. ',duluth,100-813-8212,indian,697
-164,` java jive ',' 790 ponce de leon ave. ',atlanta,404-876-6161,` coffee shops ',698
-165,` johnny rockets ( at ) ',' 2970 cobb pkwy . ',atlanta,770-955-6068,american,699
-166,` kalo \ 's coffee house ',' 1248 clairmont rd. ',decatur,404-325-3733,coffeehouses,700
-167,` la fonda latina ',' 4427 roswell rd. ',atlanta,404-303-8201,spanish,701
-168,` lettuce souprise you ( at ) ',' 3525 mall blvd. ',duluth,770-418-9969,cafeterias,702
-169,majestic,' 1031 ponce de leon ave. ',atlanta,404-875-0276,diners,703
-170,` morton \ 's of chicago ( atlanta ) ',' 303 peachtree st. ne ',atlanta,404-577-4366,steakhouses,704
-171,` my thai ',' 1248 clairmont rd. ',atlanta,404-636-4280,thai,705
-172,nava,' 3060 peachtree rd. ',atlanta,404-240-1984,southwestern,706
-173,` nuevo laredo cantina ',' 1495 chattahoochee ave. nw ',atlanta,404-352-9009,mexican,707
-174,` original pancake house ( at ) ',' 4330 peachtree rd. ',atlanta,404-237-4116,american,708
-175,` palm the ( atlanta ) ',' 3391 peachtree rd. ne ',atlanta,404-814-1955,steakhouses,709
-176,` rainbow restaurant ',' 2118 n. decatur rd. ',decatur,404-633-3538,vegetarian,710
-177,riviera,' 519 e. paces ferry rd. ',atlanta,404-262-7112,mediterranean,712
-178,` silver skillet the ',' 200 14th st. nw ',atlanta,404-874-1388,` coffee shops ',713
-179,soto,' 3330 piedmont rd. ',atlanta,404-233-2005,japanese,714
-180,` thelma \ 's kitchen ',' 764 marietta st. nw ',atlanta,404-688-5855,cafeterias,715
-181,tortillas,' 774 ponce de leon ave. ne ',atlanta,404-892-0193,tex-mex,716
-182,` van gogh \ 's restaurant & bar ','70 w. crossville rd. ',roswell,770-993-1156,` american ( new ) ',717
-183,veggieland,' 220 sandy springs circle ',atlanta,404-231-3111,vegetarian,718
-184,` white house restaurant ',' 3172 peachtree rd. ne ',atlanta,404-237-7601,diners,719
-185,zab-e-lee,' 4837 old national hwy . ',` college park ',404-768-2705,thai,720
-186,` bill \ 's place ',' 2315 clement st. ',` san francisco ',415-221-5262,hamburgers,721
-187,` cafe flore ',' 2298 market st. ',` san francisco ',415-621-8579,californian,722
-188,` caffe greco ',' 423 columbus ave. ',` san francisco ',415-397-6261,continental,723
-189,` campo santo ',' 240 columbus ave. ',` san francisco ',415-433-9623,mexican,724
-190,` cha cha cha \ 's ',' 1805 haight st. ',` san francisco ',415-386-5758,caribbean,725
-191,` doidge \ 's ',' 2217 union st. ',` san francisco ',415-921-2149,american,726
-192,` dottie \ 's true blue cafe ',' 522 jones st. ',` san francisco ',415-885-2767,diners,727
-193,` dusit thai ',' 3221 mission st. ',` san francisco ',415-826-4639,thai,728
-194,ebisu,' 1283 ninth ave. ',` san francisco ',415-566-1770,japanese,729
-195,'em erald garden restaurant ',' 1550 california st. ',` san francisco ',415-673-1155,vietnamese,730
-196,` eric \ 's chinese restaurant ',' 1500 church st. ',` san francisco ',415-282-0919,chinese,731
-197,` hamburger mary \ 's ',' 1582 folsom st. ',` san francisco ',415-626-1985,hamburgers,732
-198,` kelly \ 's on trinity ',' 333 bush st. ',` san francisco ',415-362-4454,californian,733
-199,` la cumbre ',' 515 valencia st. ',` san francisco ',415-863-8205,mexican,734
-200,` la mediterranee ',' 288 noe st. ',` san francisco ',415-431-7210,mediterranean,735
-201,` la taqueria ',' 2889 mission st. ',` san francisco ',415-285-7117,mexican,736
-202,` mario \ 's bohemian cigar store cafe ',' 2209 polk st. ',` san francisco ',415-776-8226,italian,737
-203,` marnee thai ',' 2225 irving st. ',` san francisco ',415-665-9500,thai,738
-204,` mel \ 's drive-in ',' 3355 geary st. ',` san francisco ',415-387-2244,hamburgers,739
-205,` mo \ 's burgers ',' 1322 grant st. ',` san francisco ',415-788-3779,hamburgers,740
-206,` phnom penh cambodian restaurant ',' 631 larkin st. ',` san francisco ',415-775-5979,cambodian,741
-207,` roosevelt tamale parlor ',' 2817 24th st. ',` san francisco ',415-550-9213,mexican,742
-208,` sally \ 's cafe & bakery ',' 300 de haro st. ',` san francisco ',415-626-6006,american,743
-209,` san francisco bbq ',' 1328 18th st. ',` san francisco ',415-431-8956,thai,744
-210,` slanted door ',' 584 valencia st. ',` san francisco ',415-861-8032,vietnamese,745
-211,` swan oyster depot ',' 1517 polk st. ',` san francisco ',415-673-1101,seafood,746
-212,` thep phanom ',' 400 waller st. ',` san francisco ',415-431-2526,thai,747
-213,` ti couz ',' 3108 16th st. ',` san francisco ',415-252-7373,french,748
-214,` trio cafe ',' 1870 fillmore st. ',` san francisco ',415-563-2248,american,749
-215,` tu lan ',' 8 sixth st. ',` san francisco ',415-626-0927,vietnamese,750
-216,` vicolo pizzeria ',' 201 ivy st. ',` san francisco ',415-863-2382,pizza,751
-217,` wa-ha-ka oaxaca mexican grill ',' 2141 polk st. ',` san francisco ',415-775-1055,mexican,752
-218,` arnie morton \ 's of chicago ',' 435 s. la cienega blvd. ',` los angeles ',310-246-1501,steakhouses,0
-219,` art \ 's deli ',' 12224 ventura blvd. ',` studio city ',818-762-1221,delis,1
-220,` bel-air hotel ',' 701 stone canyon rd. ',` bel air ',310-472-1211,californian,2
-221,` cafe bizou ',' 14016 ventura blvd. ',` sherman oaks ',818-788-3536,` french bistro ',3
-222,campanile,' 624 s. la brea ave. ',` los angeles ',213-938-1447,californian,4
-223,` chinois on main ',' 2709 main st. ',` santa monica ',310-392-9025,` pacific new wave ',5
-224,citrus,' 6703 melrose ave. ',` los angeles ',213-857-0034,californian,6
-225,` fenix at the argyle ',' 8358 sunset blvd. ',` w. hollywood ',213-848-6677,` french ( new ) ',7
-226,granita,' 23725 w. malibu rd. ',malibu,310-456-0488,californian,8
-227,` grill the ',' 9560 dayton way ',` beverly hills ',310-276-0615,` american ( traditional ) ',9
-228,katsu,' 1972 hillhurst ave. ',` los feliz ',213-665-1891,japanese,10
-229,` l \ ` orangerie ',' 903 n. la cienega blvd. ',` w. hollywood ',310-652-9770,` french ( classic ) ',11
-230,` le chardonnay ( los angeles ) ',' 8284 melrose ave. ',` los angeles ',213-655-8880,` french bistro ',12
-231,` locanda veneta ',' 8638 w. third st. ',` los angeles ',310-274-1893,italian,13
-232,matsuhisa,' 129 n. la cienega blvd. ',` beverly hills ',310-659-9639,seafood,14
-233,` palm the ( los angeles ) ',' 9001 santa monica blvd. ',` w. hollywood ',310-550-8811,steakhouses,15
-234,patina,' 5955 melrose ave. ',` los angeles ',213-467-1108,californian,16
-235,` philippe the original ',' 1001 n. alameda st. ',chinatown,213-628-3781,cafeterias,17
-236,` pinot bistro ',' 12969 ventura blvd. ',` studio city ',818-990-0500,` french bistro ',18
-237,` rex il ristorante ',' 617 s. olive st. ',` los angeles ',213-627-2300,` nuova cucina italian ',19
-238,` spago ( los angeles ) ',' 8795 sunset blvd. ',` w. hollywood ',310-652-4025,californian,20
-239,valentino,' 3115 pico blvd. ',` santa monica ',310-829-4313,italian,21
-240,` yujean kang \ 's ','67 n. raymond ave. ',pasadena,818-585-0855,chinese,22
-241,'21 club ','21 w. 52nd st. ',` new york city ',212-582-7200,` american ( new ) ',23
-242,aquavit,'13 w. 54th st. ',` new york city ',212-307-7311,scandinavian,24
-243,aureole,'34 e. 61st st. ',` new york city ',212-319-1660,` american ( new ) ',25
-244,` cafe lalo ',' 201 w. 83rd st. ',` new york city ',212-496-6031,coffeehouses,26
-245,` cafe des artistes ',' 1 w. 67th st. ',` new york city ',212-877-3500,` french ( classic ) ',27
-246,` carmine \ 's ',' 2450 broadway ',` new york city ',212-362-2200,italian,28
-247,` carnegie deli ',' 854 seventh ave. ',` new york city ',212-757-2245,delis,29
-248,chanterelle,' 2 harrison st. ',` new york city ',212-966-6960,` french ( new ) ',30
-249,daniel,'20 e. 76th st. ',` new york city ',212-288-0033,` french ( new ) ',31
-250,dawat,' 210 e. 58th st. ',` new york city ',212-355-7555,indian,32
-251,felidia,' 243 e. 58th st. ',` new york city ',212-758-1479,italian,33
-252,` four seasons ','99 e. 52nd st. ',` new york city ',212-754-9494,` american ( new ) ',34
-253,` gotham bar & grill ','12 e. 12th st. ',` new york city ',212-620-4020,` american ( new ) ',35
-254,` gramercy tavern ','42 e. 20th st. ',` new york city ',212-477-0777,` american ( new ) ',36
-255,` island spice ',' 402 w. 44th st. ',` new york city ',212-765-1737,caribbean,37
-256,` jo jo ',' 160 e. 64th st. ',` new york city ',212-223-5656,` french bistro ',38
-257,` la caravelle ','33 w. 55th st. ',` new york city ',212-586-4252,` french ( classic ) ',39
-258,` la cote basque ','60 w. 55th st. ',` new york city ',212-688-6525,` french ( classic ) ',40
-259,` le bernardin ',' 155 w. 51st st. ',` new york city ',212-489-1515,seafood,41
-260,` les celebrites ',' 155 w. 58th st. ',` new york city ',212-484-5113,` french ( classic ) ',42
-261,` lespinasse ( new york city ) ',' 2 e. 55th st. ',` new york city ',212-339-6719,asian,43
-262,lutece,' 249 e. 50th st. ',` new york city ',212-752-2225,` french ( classic ) ',44
-263,` manhattan ocean club ','57 w. 58th st. ',` new york city ',212-371-7777,seafood,45
-264,march,' 405 e. 58th st. ',` new york city ',212-754-6272,` american ( new ) ',46
-265,` mesa grill ',' 102 fifth ave. ',` new york city ',212-807-7400,southwestern,47
-266,` mi cocina ','57 jane st. ',` new york city ',212-627-8273,mexican,48
-267,montrachet,' 239 w. broadway ',` new york city ',212-219-2777,` french bistro ',49
-268,oceana,'55 e. 54th st. ',` new york city ',212-759-5941,seafood,50
-269,` park avenue cafe ( new york city ) ',' 100 e. 63rd st. ',` new york city ',212-644-1900,` american ( new ) ',51
-270,petrossian,' 182 w. 58th st. ',` new york city ',212-245-2214,russian,52
-271,picholine,'35 w. 64th st. ',` new york city ',212-724-8585,mediterranean,53
-272,pisces,'95 ave. a ',` new york city ',212-260-6660,seafood,54
-273,` rainbow room ','30 rockefeller plaza ',` new york city ',212-632-5000,` american ( new ) ',55
-274,` river cafe ',' 1 water st. ',brooklyn,718-522-5200,` american ( new ) ',56
-275,` san domenico ',' 240 central park s. ',` new york city ',212-265-5959,italian,57
-276,` second avenue deli ',' 156 second ave. ',` new york city ',212-677-0606,delis,58
-277,seryna,'11 e. 53rd st. ',` new york city ',212-980-9393,japanese,59
-278,` shun lee palace ',' 155 e. 55th st. ',` new york city ',212-371-8844,chinese,60
-279,` sign of the dove ',' 1110 third ave. ',` new york city ',212-861-8080,` american ( new ) ',61
-280,` smith & wollensky ',' 797 third ave. ',` new york city ',212-753-1530,steakhouses,62
-281,` tavern on the green ',` central park west ',` new york city ',212-873-3200,` american ( new ) ',63
-282,` uncle nick \ 's ',' 747 ninth ave. ',` new york city ',212-245-7992,greek,64
-283,` union square cafe ','21 e. 16th st. ',` new york city ',212-243-4020,` american ( new ) ',65
-284,` virgil \ 's real bbq ',' 152 w. 44th st. ',` new york city ',212-921-9494,bbq,66
-285,` chin \ 's ',' 3200 las vegas blvd. s. ',` las vegas ',702-733-8899,chinese,67
-286,` coyote cafe ( las vegas ) ',' 3799 las vegas blvd. s. ',` las vegas ',702-891-7349,southwestern,68
-287,` le montrachet bistro ',' 3000 paradise rd. ',` las vegas ',702-732-5651,` french bistro ',69
-288,` palace court ',' 3570 las vegas blvd. s. ',` las vegas ',702-731-7110,` french ( new ) ',70
-289,` second street grill ',' 200 e. fremont st. ',` las vegas ',702-385-6277,` pacific rim ',71
-290,` steak house the ',' 2880 las vegas blvd. s. ',` las vegas ',702-734-0410,steakhouses,72
-291,'till erman the ',' 2245 e. flamingo rd. ',` las vegas ',702-731-4036,steakhouses,73
-292,abruzzi,' 2355 peachtree rd. ne ',atlanta,404-261-8186,italian,74
-293,bacchanalia,' 3125 piedmont rd. ',atlanta,404-365-0410,californian,75
-294,` bone \ 's restaurant ',' 3130 piedmont rd. ne ',atlanta,404-237-2663,steakhouses,76
-295,` brasserie le coze ',' 3393 peachtree rd. ',atlanta,404-266-1440,` french bistro ',77
-296,` buckhead diner ',' 3073 piedmont rd. ',atlanta,404-262-3336,` american ( new ) ',78
-297,` ciboulette restaurant ',' 1529 piedmont ave. ',atlanta,404-874-7600,` french ( new ) ',79
-298,delectables,' 1 margaret mitchell sq. ',atlanta,404-681-2909,cafeterias,80
-299,` georgia grille ',' 2290 peachtree rd. ',atlanta,404-352-3517,southwestern,81
-300,` hedgerose heights inn the ',' 490 e. paces ferry rd. ne ',atlanta,404-233-7673,continental,82
-301,` heera of india ',' 595 piedmont ave. ',atlanta,404-876-4408,indian,83
-302,` indigo coastal grill ',' 1397 n. highland ave. ',atlanta,404-876-0676,eclectic,84
-303,` la grotta ',' 2637 peachtree rd. ne ',atlanta,404-231-1368,italian,85
-304,` mary mac \ 's tea room ',' 224 ponce de leon ave. ',atlanta,404-876-1800,southern/soul,86
-305,` nikolai \ 's roof ',' 255 courtland st. ',atlanta,404-221-6362,continental,87
-306,` pano \ 's & paul \ 's ',' 1232 w. paces ferry rd. ',atlanta,404-261-3662,` american ( new ) ',88
-307,` ritz-carlton cafe ( buckhead ) ',' 3434 peachtree rd. ne ',atlanta,404-237-2700,` american ( new ) ',89
-308,` ritz-carlton dining room ( buckhead ) ',' 3434 peachtree rd. ne ',atlanta,404-237-2700,` american ( new ) ',90
-309,` ritz-carlton restaurant ',' 181 peachtree st. ',atlanta,404-659-0400,` french ( classic ) ',91
-310,toulouse,' 293-b peachtree rd. ',atlanta,404-351-9533,` french ( new ) ',92
-311,` veni vidi vici ','41 14th st. ',atlanta,404-875-8424,italian,93
-312,` alain rondelli ',' 126 clement st. ',` san francisco ',415-387-0408,` french ( new ) ',94
-313,aqua,' 252 california st. ',` san francisco ',415-956-9662,` american ( new ) ',95
-314,boulevard,' 1 mission st. ',` san francisco ',415-543-6084,` american ( new ) ',96
-315,` cafe claude ',' 7 claude ln . ',` san francisco ',415-392-3505,` french bistro ',97
-316,` campton place ',' 340 stockton st. ',` san francisco ',415-955-5555,` american ( new ) ',98
-317,` chez michel ',' 804 north point st. ',` san francisco ',415-775-7036,californian,99
-318,` fleur de lys ',' 777 sutter st. ',` san francisco ',415-673-7779,` french ( new ) ',100
-319,fringale,' 570 fourth st. ',` san francisco ',415-543-0573,` french bistro ',101
-320,` hawthorne lane ','22 hawthorne st. ',` san francisco ',415-777-9779,californian,102
-321,` khan toke thai house ',' 5937 geary blvd. ',` san francisco ',415-668-6654,thai,103
-322,` la folie ',' 2316 polk st. ',` san francisco ',415-776-5577,` french ( new ) ',104
-323,` lulu restaurant-bis-cafe ',' 816 folsom st. ',` san francisco ',415-495-5775,mediterranean,105
-324,` masa \ 's ',' 648 bush st. ',` san francisco ',415-989-7154,` french ( new ) ',106
-325,mifune,' 1737 post st. ',` san francisco ',415-922-0337,japanese,107
-326,` plumpjack cafe ',' 3127 fillmore st. ',` san francisco ',415-563-4755,` american ( new ) ',108
-327,postrio,' 545 post st. ',` san francisco ',415-776-7825,californian,109
-328,` ritz-carlton dining room ( san francisco ) ',' 600 stockton st. ',` san francisco ',415-296-7465,` french ( new ) ',110
-329,` rose pistola ',' 532 columbus ave. ',` san francisco ',415-399-0499,italian,111
-330,` ritz-carlton cafe ( atlanta ) ',' 181 peachtree st. ',atlanta,404-659-0400,` american ( new ) ',711

datasets/Walmart-Amazon/matches.csv

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datasets/Walmart-Amazon_dirty/matches.csv

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datasets/iTunes-Amazon/matches.csv

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-1636,27530
-1655,49479
-1683,23727
-1683,23781
-1735,10926
-1736,10938
-1776,33397
-1777,20232
-1897,51626
-1918,9358
-1946,23456
-2222,815
-2337,54230
-2368,33786
-2375,3581
-2394,29834
-2399,29849
-2456,24297
-2479,33786
-2490,4511
-2666,35475
-2742,17181
-2749,17161
-2782,31534
-2812,47863
-2834,53255
-2845,52867
-2901,21458
-2913,21458
-3093,22994
-3104,22995
-3292,7440
-3324,7403
-3354,17660
-3354,17643
-3356,39335
-3358,39320
-3376,7414
-3421,34320
-3503,54798
-3507,23084
-3734,47848
-3762,38431
-3771,38442
-3850,9120
-3864,8306
-3870,23889
-3870,23901
-3878,23925
-3887,16397
-3926,16397
-3944,18970
-4301,29695
-4312,6130
-4326,23361
-4384,23361
-4413,42103
-4468,31072
-4547,26140
-4587,26140
-4610,26152
-4659,41090
-4669,41083
-4747,5682
-4823,20588
-5001,3099
-5077,40465
-5083,40471
-5122,34113
-5143,43647
-5227,27254
-5363,47909
-5406,27824
-5518,9828
-5542,10251
-5702,37654
-5712,35057
-5726,4470
-5733,4465
-5761,21517
-5806,6499
-5827,6502
-5885,19151
-6047,4667
-6104,7981
-6218,29583
-6234,13713
-6280,47818
-6425,31102
-6429,31088
-6458,18807
-6532,38301
-6592,38375
-6634,824
-6724,17069
-6764,51438
-6857,39318

datasets/iTunes-Amazon_dirty/matches.csv

@@ -1,133 +0,0 @@
-ltable_id,rtable_id
-110,53087
-147,50730
-205,41179
-249,53087
-251,52967
-251,53047
-254,49104
-416,33321
-426,33282
-431,33296
-433,33307
-467,362
-498,29283
-508,55899
-537,1878
-582,378
-588,55899
-592,43689
-598,43689
-642,24635
-668,24621
-836,23706
-1069,11277
-1148,7757
-1151,53282
-1161,27990
-1164,27994
-1193,28008
-1216,33988
-1358,42278
-1406,48287
-1413,51590
-1489,3898
-1514,49668
-1595,52925
-1636,27530
-1655,49479
-1683,23727
-1683,23781
-1735,10926
-1736,10938
-1776,33397
-1777,20232
-1897,51626
-1918,9358
-1946,23456
-2222,815
-2337,54230
-2368,33786
-2375,3581
-2394,29834
-2399,29849
-2456,24297
-2479,33786
-2490,4511
-2666,35475
-2742,17181
-2749,17161
-2782,31534
-2812,47863
-2834,53255
-2845,52867
-2901,21458
-2913,21458
-3093,22994
-3104,22995
-3292,7440
-3324,7403
-3354,17660
-3354,17643
-3356,39335
-3358,39320
-3376,7414
-3421,34320
-3503,54798
-3507,23084
-3734,47848
-3762,38431
-3771,38442
-3850,9120
-3864,8306
-3870,23889
-3870,23901
-3878,23925
-3887,16397
-3926,16397
-3944,18970
-4301,29695
-4312,6130
-4326,23361
-4384,23361
-4413,42103
-4468,31072
-4547,26140
-4587,26140
-4610,26152
-4659,41090
-4669,41083
-4747,5682
-4823,20588
-5001,3099
-5077,40465
-5083,40471
-5122,34113
-5143,43647
-5227,27254
-5363,47909
-5406,27824
-5518,9828
-5542,10251
-5702,37654
-5712,35057
-5726,4470
-5733,4465
-5761,21517
-5806,6499
-5827,6502
-5885,19151
-6047,4667
-6104,7981
-6218,29583
-6234,13713
-6280,47818
-6425,31102
-6429,31088
-6458,18807
-6532,38301
-6592,38375
-6634,824
-6724,17069
-6764,51438
-6857,39318

deprecated/inference_from_record_pairs.py

@@ -0,0 +1,152 @@
+import pandas as pd
+import time
+import Levenshtein
+import copy
+
+def my_Levenshtein_ratio(str1, str2):
+    return 1 - Levenshtein.distance(str1, str2) / max(len(str1), len(str2))
+
+
+def if_minimal(md, md_list, target_col):
+    # 假设这个md是minimal
+    minimal = True
+    for _ in md_list:
+        if _ != md:
+            # 假设列表中每一个md都使当前md不minimal
+            exist = True
+            # 如果左边任何一个大于，则假设不成立
+            for col in list(set(_.keys()) - {target_col}):
+                if _[col] > md[col]:
+                    exist = False
+            # 如果右边小于，假设也不成立
+            if _[target_col] < md[target_col]:
+                exist = False
+            # 任何一次假设成立，当前md不minimal
+            if exist:
+                minimal = False
+                break
+    return minimal
+
+
+def satisfy_confidence(md, df, conf_thresh, target_col):
+    support = 0
+    support_plus = 0
+    for row1 in df.itertuples():
+        i = row1[0]
+        df_slice = df[i + 1:]
+        for row2 in df_slice.itertuples():
+            left_satisfy = True
+            both_satisfy = True
+            for col in df.columns.values.tolist():
+                sim = my_Levenshtein_ratio(getattr(row1, col), getattr(row2, col))
+                if col == target_col:
+                    if sim < 1:
+                        both_satisfy = False
+                else:
+                    if sim < md[col]:
+                        left_satisfy = False
+                        both_satisfy = False
+            if left_satisfy:
+                support += 1
+            if both_satisfy:
+                support_plus += 1
+    if support == 0:
+        return False, 0.0
+    confidence = support_plus / support
+    return confidence >= conf_thresh, confidence
+
+
+def inference_from_record_pairs(path, threshold, target_col):
+    data = pd.read_csv(path, low_memory=False, encoding='ISO-8859-1')
+    data = data.astype(str)
+    columns = data.columns.values.tolist()
+
+    md_list = []
+    minimal_vio = []
+    init_md = {}
+    for col in columns:
+        init_md[col] = 1 if col == target_col else 0
+    md_list.append(init_md)
+
+    for row1 in data.itertuples():
+        # 获取当前行的索引，从后一行开始切片
+        i = row1[0]
+        data1 = data[i + 1:]
+        for row2 in data1.itertuples():
+            violated_mds = []
+            # sims是两行的相似度
+            sims = {}
+            for col in columns:
+                similarity = my_Levenshtein_ratio(getattr(row1, col), getattr(row2, col))
+                sims[col] = similarity
+
+            # 寻找violated md,从md列表中删除并加入vio列表
+            for md in md_list:
+                lhs_satis = True
+                rhs_satis = True
+                for col in list(set(columns) - {target_col}):
+                    if sims[col] < md[col]:
+                        lhs_satis = False
+                if sims[target_col] < md[target_col]:
+                    rhs_satis = False
+                if lhs_satis == True and rhs_satis == False:
+                    md_list.remove(md)
+                    violated_mds.append(md)
+            minimal_vio.extend(violated_mds)
+
+            for vio_md in violated_mds:
+                # 特殊化右侧,我们需要右侧百分百相似，其实不需要降低右侧阈值
+                # if sims[target_col] >= threshold:
+                #     new_rhs = sims[target_col]
+                #     spec_r_md = copy.deepcopy(vio_md)
+                #     spec_r_md[target_col] = new_rhs
+                #     if if_minimal(spec_r_md, md_list, target_col):
+                #         md_list.append(spec_r_md)
+
+                # 特殊化左侧
+                for col in list(set(columns) - {target_col}):
+                    if sims[col] + 0.001 <= 1:
+                        spec_l_md = copy.deepcopy(vio_md)
+                        spec_l_md[col] = threshold if sims[col] < threshold else sims[col] + 0.001
+                        if if_minimal(spec_l_md, md_list, target_col):
+                            md_list.append(spec_l_md)
+
+            for vio in minimal_vio:
+                if not if_minimal(vio, md_list, target_col):
+                    minimal_vio.remove(vio)
+
+    tmp = copy.deepcopy(minimal_vio)
+    for _ in tmp:
+        satis, conf = satisfy_confidence(_, data, 0.8, target_col)
+        if not satis:
+            minimal_vio.remove(_)
+
+    for _ in tmp:
+        if not if_minimal(_, minimal_vio, target_col):
+            minimal_vio.remove(_)
+
+    return md_list, minimal_vio
+
+
+if __name__ == '__main__':
+    # 目前可以仿照这个main函数写
+    path = "input/T_positive_with_id_concat_single_tuple.csv"
+    start = time.time()
+    # 输入：csv文件路径，md左侧相似度阈值，md右侧目标字段
+    # 输出：2个md列表，列表1中md无violation,列表2中md有violation但confidence满足阈值(0.8)
+    # 例如此处输入参数要求md左侧相似度字段至少为0.7，右侧指向'id'字段
+    mds, mds_vio = inference_from_record_pairs(path, 0.7, 'id_concat')
+
+    # 将列表1写入本地，路径需自己修改
+    md_path = 'output/md.txt'
+    with open(md_path, 'w') as f:
+        for _ in mds:
+            f.write(str(_) + '\n')
+
+    # 将列表2写入本地，路径需自己修改
+    vio_path = 'output/vio.txt'
+    with open(vio_path, 'w') as f:
+        for _ in mds_vio:
+            f.write(str(_) + '\n')
+
+    print(time.time() - start)

draw/draw_confidence_histogram.py

@@ -1,56 +0,0 @@
-import os
-import pandas as pd
-from pyecharts import options as opts
-from pyecharts.charts import Bar
-from pyecharts.faker import Faker
-from pyecharts.globals import ThemeType
-
-if __name__ == '__main__':
-    outcome_dir = r'E:\Data\Research\Outcome'
-    inter_list = ['0', '0.5', '0.7', '0.9', '1']
-    configs_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-'
-    datasets_list = os.listdir(outcome_dir)
-
-    for _ in datasets_list:
-        for inter in inter_list:
-            path = outcome_dir + rf'\{_}' + configs_dir + inter
-            statistics_files = os.listdir(path)
-            length = 0
-            for file in statistics_files:
-                if file.startswith('predictions'):
-                    preds = pd.read_csv(path + rf'\{file}', encoding='ISO-8859-1')
-                    preds = preds[['predicted', 'confidence']]
-                    preds = preds.astype(float)
-                    preds = preds[preds['predicted'] == 1.0]
-                    length = len(preds)
-                    li = []
-                    zeros = len(preds[preds['confidence'] == 0])
-                    dot_02 = len(preds[(preds['confidence'] > 0) & (preds['confidence'] <= 0.2)])
-                    dot_24 = len(preds[(preds['confidence'] > 0.2) & (preds['confidence'] <= 0.4)])
-                    dot_46 = len(preds[(preds['confidence'] > 0.4) & (preds['confidence'] <= 0.6)])
-                    dot_68 = len(preds[(preds['confidence'] > 0.6) & (preds['confidence'] <= 0.8)])
-                    dot_80 = len(preds[(preds['confidence'] > 0.8) & (preds['confidence'] <= 1.0)])
-                    for number in [zeros, dot_02, dot_24, dot_46, dot_68, dot_80]:
-                        li.append(round(number * 100 / length, ndigits=3))
-
-                    c = (
-                        Bar(init_opts=opts.InitOpts(theme=ThemeType.WALDEN))
-                        .add_xaxis(['conf=0', '0<conf≤0.2', '0.2<conf≤0.4', '0.4<conf≤0.6', '0.6<conf≤0.8', '0.8<conf≤1'])
-                        .add_yaxis(_, li, category_gap=2)
-                        .set_global_opts(
-                            yaxis_opts=opts.AxisOpts(
-                                name="Proportion",
-                                type_="value",
-                                min_=0,
-                                max_=100,
-                                position="left",
-                                axisline_opts=opts.AxisLineOpts(
-                                    linestyle_opts=opts.LineStyleOpts()
-                                ),
-                                axislabel_opts=opts.LabelOpts(formatter="{value}%"),
-                            ),
-                            title_opts=opts.TitleOpts(title="Confidence Histogram"),
-                            xaxis_opts=opts.AxisOpts(name="Intervals")
-                        )
-                        .render(path + r"\confidence_histogram.html")
-                    )

draw/draw_f1_inter_bars.py

@@ -1,45 +0,0 @@
-import os
-
-import pyecharts
-from pyecharts.charts import Line
-from pyecharts import options as opts
-from pyecharts.charts import Bar
-from pyecharts.globals import ThemeType
-
-if __name__ == '__main__':
-    outcome_dir = r'E:\Data\Research\Outcome'
-    configs_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-0.5'
-    datasets_list = os.listdir(outcome_dir)
-    f1 = []
-    interpretability = []
-    for _ in datasets_list:
-        path = outcome_dir + rf'\{_}' + configs_dir
-        statistics_files = os.listdir(path)
-        for i in statistics_files:
-            if i.startswith('eval_result'):
-                with open(path + rf'\{i}', 'r') as f:
-                    # 读取每一行的md，加入该文件的md列表
-                    for line in f.readlines():
-                        if line.startswith('F1'):
-                            lt = line.split(' ')
-                            value = float(lt[2].replace('%', ''))/100
-                            f1.append(round(value, ndigits=3))
-                        elif line.startswith('interpretability'):
-                            lt = line.split(':')
-                            value = float(lt[1])
-                            interpretability.append(round(value, ndigits=3))
-
-    c = (
-        Bar()
-        .add_xaxis(
-            datasets_list
-        )
-        .add_yaxis('F1', f1)
-        .add_yaxis('Interpretability', interpretability)
-        .set_global_opts(
-            xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
-            title_opts=opts.TitleOpts(title="各数据集F1值与预测结果可解释比例", subtitle="可解释性比重：0.5"),
-            # yaxis_opts=opts.AxisOpts(min_=0.95)  # 设置y轴起始点
-        )
-        .render("output/F1_Inter_bars.html")
-    )

draw/draw_inter_weight_lines.py

@@ -1,51 +0,0 @@
-import os
-import pyecharts.options as opts
-from pyecharts.charts import Line
-from pyecharts.faker import Faker
-
-
-if __name__ == '__main__':
-    outcome_dir = r'E:\Data\Research\Outcome'
-    datasets_list = os.listdir(outcome_dir)
-    inter_list = ['0', '0.5', '0.7', '0.9', '1']
-    configs_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-'
-
-    for _ in datasets_list:
-        block_recall_list = []
-        f1 = []
-        interpretability = []
-        for inter in inter_list:
-            path = outcome_dir + rf'\{_}' + configs_dir + inter
-            statistics_files = os.listdir(path)
-            for i in statistics_files:
-                if i.startswith('eval_result'):
-                    with open(path + rf'\{i}', 'r') as f:
-                        # 读取每一行的md，加入该文件的md列表
-                        for line in f.readlines():
-                            if line.startswith('block_recall'):
-                                lt = line.split(':')
-                                value = float(lt[1])
-                                block_recall_list.append(round(value, ndigits=3))
-                            elif line.startswith('F1'):
-                                lt = line.split(' ')
-                                value = float(lt[2].replace('%', '')) / 100
-                                f1.append(round(value, ndigits=3))
-                            elif line.startswith('interpretability'):
-                                lt = line.split(':')
-                                value = float(lt[1])
-                                interpretability.append(round(value, ndigits=3))
-        interpretability[0] = 0
-
-        c = (
-            Line()
-            .add_xaxis(inter_list)
-            .add_yaxis("Block Recall", block_recall_list)
-            .add_yaxis("F1", f1)
-            .add_yaxis("Interpretability", interpretability)
-            .set_global_opts(
-                title_opts=opts.TitleOpts(title=_),
-                # yaxis_opts=opts.AxisOpts(name="Block Recall", name_location="middle", name_gap=15, name_rotate=0),
-                xaxis_opts=opts.AxisOpts(name="Interpretability Weight", name_location="middle", name_gap=25)
-            )
-            .render(outcome_dir + rf'\{_}\inter_weight_lines.html')
-        )

draw/draw_md_cluster.py

@@ -1,86 +0,0 @@
-# https://github.com/GISerWang/Spatio-temporal-Clustering.git
-import os
-import numpy as np
-import matplotlib.pyplot as plt
-from scipy.spatial.distance import pdist
-from scipy.spatial.distance import squareform
-
-
-def DBSCAN(data_, eps, minPts):
-    # 获得距离矩阵
-    disMat = squareform(pdist(data_, metric='euclidean'))
-    # 获得数据的行和列(一共有n条数据)
-    n, m = data_.shape
-    # 将矩阵的中小于eps的数赋予1, 大于eps的数置0, 按行求和, 求核心点坐标的索引
-    core_points_index = np.where(np.sum(np.where(disMat <= eps, 1, 0), axis=1) >= minPts)[0]
-    # 初始化类别，-1代表未分类。
-    labels = np.full((n,), -1)
-    clusterId = 0
-    # 遍历所有的核心点
-    for pointId in core_points_index:
-        # 如果核心点未被分类，将其作为的种子点，开始寻找相应簇集
-        if labels[pointId] == -1:
-            # 首先将点pointId标记为当前类别(即标识为已操作)
-            labels[pointId] = clusterId
-            # 然后寻找种子点的eps邻域且没有被分类的点，将其放入种子集合
-            neighbour = np.where((disMat[:, pointId] <= eps) & (labels == -1))[0]
-            seeds = set(neighbour)
-            # 通过种子点，开始生长，寻找密度可达的数据点，一直到种子集合为空，一个簇集寻找完毕
-            while len(seeds) > 0:
-                # 弹出一个新种子点
-                newPoint = seeds.pop()
-                # 将newPoint标记为当前类
-                labels[newPoint] = clusterId
-                # 寻找newPoint种子点eps邻域（包含自己）
-                queryResults = np.where(disMat[:, newPoint] <= eps)[0]
-                # 如果newPoint属于核心点，那么newPoint是可以扩展的，即密度是可以通过newPoint继续密度可达的
-                if len(queryResults) >= minPts:
-                    # 将邻域内且没有被分类的点压入种子集合
-                    for resultPoint in queryResults:
-                        if labels[resultPoint] == -1:
-                            seeds.add(resultPoint)
-            # 簇集生长完毕，寻找到一个类别
-            clusterId = clusterId + 1
-    return labels
-
-
-def plotFeature(md_keys_, data_, labels_, output_path_):
-    clusterNum = len(set(labels_))
-    fig = plt.figure()
-    scatterColors = ['black', 'blue', 'green', 'yellow', 'red', 'purple', 'orange', 'brown']
-    ax = fig.add_subplot(111, projection='3d')
-    for i in range(-1, clusterNum):
-        colorStyle = scatterColors[i % len(scatterColors)]
-        subCluster = data_[np.where(labels_ == i)]
-        ax.scatter(subCluster[:, 0], subCluster[:, 1], subCluster[:, 2], c=colorStyle, s=12)
-    ax.set_xlabel(md_keys_[0], rotation=0)  # 设置标签角度
-    ax.set_ylabel(md_keys_[1], rotation=-45)
-    ax.set_zlabel(md_keys_[2], rotation=0)
-    plt.title(output_path_.split('\\')[-1].split('.')[0])
-    plt.savefig(output_path_, dpi=500)
-    plt.show()
-
-
-if __name__ == '__main__':
-    outcome_path = r'E:\Data\Research\Outcome'
-    config_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-0.5'
-    dataset_name_list = [f.name for f in os.scandir(outcome_path) if f.is_dir()]
-    for dataset_name in dataset_name_list:
-        absolute_path = outcome_path + rf'\{dataset_name}' + config_dir + r'\mds.txt'
-        md_keys = []
-        with open(absolute_path, 'r') as f:
-            # 读取每一行的md，加入该文件的md列表
-            data = []
-            for line in f.readlines():
-                md_metadata = line.strip().split('\t')
-                md_tuple = eval(md_metadata[1])
-                md_keys = list(md_tuple[0].keys())[1:4]
-                md_values = list(md_tuple[0].values())
-                data.append(md_values[1:4])
-                if len(data) == 10000:
-                    break
-
-        data = np.array(data, dtype=np.float32)
-        labels = DBSCAN(data, 0.5, 30)
-        output_path = outcome_path + rf'\{dataset_name}.png'
-        plotFeature(md_keys, data, labels, output_path)

draw/draw_md_cluster_with_data_point.py

@@ -1,73 +0,0 @@
-# # 将数据点和MD一起聚类
-# import os
-# import numpy as np
-# import pandas as pd
-# from matplotlib import pyplot as plt
-#
-# from draw_md_cluster import DBSCAN
-# from ml_er.ml_entity_resolver import build_col_pairs_sim_tensor_dict
-#
-#
-# def plot(md_keys_, md_data_, pre_match_points_, pre_mismatch_points_, labels_, output_path_):
-#     clusterNum = len(set(labels_))
-#     fig = plt.figure()
-#     scatterColors = ['black', 'blue', 'green', 'yellow', 'red', 'purple', 'orange', 'brown']
-#     ax = fig.add_subplot(111, projection='3d')
-#     for i in range(-1, clusterNum):
-#         colorStyle = scatterColors[i % len(scatterColors)]
-#         subCluster = md_data_[np.where(labels_ == i)]
-#         ax.scatter(subCluster[:, 0], subCluster[:, 1], subCluster[:, 2], c=colorStyle, s=12)
-#     ax.scatter(pre_match_points_[:, 0], pre_match_points_[:, 1], pre_match_points_[:, 2], c='#66CCFF', s=12, marker='x')
-#     if pre_mismatch_points_.shape[0] > 0:
-#         ax.scatter(pre_mismatch_points_[:, 0], pre_mismatch_points_[:, 1], pre_mismatch_points_[:, 2], c='#006666', s=12, marker='x')
-#     ax.set_xlabel(md_keys_[0], rotation=0)  # 设置标签角度
-#     ax.set_ylabel(md_keys_[1], rotation=-45)
-#     ax.set_zlabel(md_keys_[2], rotation=0)
-#     plt.title(output_path_.split('\\')[-1].split('.')[0])
-#     plt.savefig(output_path_, dpi=500)
-#     plt.show()
-#
-#
-# if __name__ == '__main__':
-#     outcome_path = r'E:\Data\Research\Outcome'
-#     config_dir = r'\Magellan+Smac+roberta-large-nli-stsb-mean-tokens+inter-0.5'
-#     dataset_name_list = [f.name for f in os.scandir(outcome_path) if f.is_dir()]
-#     for dataset_name in dataset_name_list:
-#         absolute_path = outcome_path + rf'\{dataset_name}' + config_dir + r'\mds.txt'  # MD路径
-#         predictions = outcome_path + rf'\{dataset_name}' + config_dir + r'\predictions.csv'  # prediction路径
-#         pred = pd.read_csv(predictions)
-#         pred = pred.astype(str)
-#         # pred = pred[pred['predicted'] == str(1)]
-#         sim_tensor_dict = build_col_pairs_sim_tensor_dict(pred)
-#         # 选取的三个字段
-#         md_keys = []
-#         with open(absolute_path, 'r') as f:
-#             # 读取每一行的md，加入该文件的md列表
-#             md_data = []
-#             for line in f.readlines():
-#                 md_metadata = line.strip().split('\t')
-#                 md_tuple = eval(md_metadata[1])
-#                 md_keys = list(md_tuple[0].keys())[1:4]
-#                 md_values = list(md_tuple[0].values())
-#                 md_data.append(md_values[1:4])
-#                 if len(md_data) == 10000:
-#                     break
-#
-#         pre_match_points = []
-#         pre_mismatch_points = []
-#         for _ in pred.itertuples():
-#             data_point_value = []
-#             for key in md_keys:
-#                 sim_tensor = sim_tensor_dict[key]
-#                 data_point_value.append(round(float(sim_tensor[_[0]]), 4))
-#             if getattr(_, 'predicted') == str(1):
-#                 pre_match_points.append(data_point_value)
-#             elif getattr(_, 'predicted') == str(0):
-#                 pre_mismatch_points.append(data_point_value)
-#
-#         md_data = np.array(md_data, dtype=np.float32)
-#         pre_match_points = np.array(pre_match_points, dtype=np.float32)
-#         pre_mismatch_points = np.array(pre_mismatch_points, dtype=np.float32)
-#         labels = DBSCAN(md_data, 0.5, 30)
-#         output_path = outcome_path + rf'\{dataset_name}_MD&data.png'
-#         plot(md_keys, md_data, pre_match_points, pre_mismatch_points, labels, output_path)

functions/multi_process_infer_by_pairs.py

@@ -0,0 +1,186 @@
+import multiprocessing
+import pandas as pd
+import Levenshtein
+import copy
+
+
+conf_thresh = 0.8
+
+
+def my_Levenshtein_ratio(str1, str2):
+    if max(len(str1), len(str2)) == 0:
+        return 1
+    return 1 - Levenshtein.distance(str1, str2) / max(len(str1), len(str2))
+
+
+def if_minimal(md, md_list, target_col):
+    # 假设这个md是minimal
+    minimal = True
+    if md_list.count(md) > 1:
+        return False
+    for _ in md_list:
+        if _ != md:
+            # 假设列表中每一个md都使当前md不minimal
+            exist = True
+            # 如果左边任何一个大于，则假设不成立
+            for col in list(set(_.keys()) - {target_col}):
+                if _[col] > md[col]:
+                    exist = False
+            # 如果右边小于，假设也不成立
+            if _[target_col] < md[target_col]:
+                exist = False
+            # 任何一次假设成立，当前md不minimal
+            if exist:
+                minimal = False
+                break
+    return minimal
+
+
+def remove_by_confidence(md, l, relation, target_col, lock):
+    support, confidence = get_one_md_metadata(md, relation, target_col)
+    # todo: replace constant 0.8
+    if confidence < 0.8:
+        with lock:
+            l.remove(md)
+
+
+# def remove_by_confidence(md, l, relation, target_col):
+#     boolean, conf = satisfy_confidence(md, relation, 0.8, target_col)
+#     if not boolean:
+#         l.remove(md)
+#         print(md, '\t', conf)
+
+
+def inference_from_record_pairs(path, threshold, target_col):
+    data = pd.read_csv(path, low_memory=False, encoding='ISO-8859-1')
+    data.fillna("", inplace=True)
+    data = data.astype(str)
+    columns = data.columns.values.tolist()
+
+    md_list = []
+    minimal_vio = []
+    init_md = {}
+    for col in columns:
+        init_md[col] = 1 if col == target_col else 0
+    md_list.append(init_md)
+
+    for row1 in data.itertuples():
+        # 获取当前行的索引，从后一行开始切片
+        i = row1[0]
+        data1 = data[i + 1:]
+        for row2 in data1.itertuples():
+            violated_mds = []
+            # sims是两行的相似度
+            sims = {}
+            for col in columns:
+                similarity = my_Levenshtein_ratio(getattr(row1, col), getattr(row2, col))
+                sims[col] = similarity
+
+            # 寻找violated md,从md列表中删除并加入vio列表
+            # tmp_md_list = copy.deepcopy(md_list)
+            for md in md_list[:]:
+                lhs_satis = True
+                rhs_satis = True
+                for col in list(set(columns) - {target_col}):
+                    if sims[col] < md[col]:
+                        lhs_satis = False
+                if sims[target_col] < md[target_col]:
+                    rhs_satis = False
+                if lhs_satis == True and rhs_satis == False:
+                    md_list.remove(md)
+                    violated_mds.append(md)
+            minimal_vio.extend(violated_mds)
+
+            for vio_md in violated_mds:
+                # 特殊化右侧,我们需要右侧百分百相似，其实不需要降低右侧阈值
+                # if sims[target_col] >= threshold:
+                #     new_rhs = sims[target_col]
+                #     spec_r_md = copy.deepcopy(vio_md)
+                #     spec_r_md[target_col] = new_rhs
+                #     if if_minimal(spec_r_md, md_list, target_col):
+                #         md_list.append(spec_r_md)
+
+                # 特殊化左侧
+                for col in list(set(columns) - {target_col}):
+                    if sims[col] + 0.001 <= 1:
+                        spec_l_md = copy.deepcopy(vio_md)
+                        spec_l_md[col] = threshold if sims[col] < threshold else sims[col] + 0.001
+                        if if_minimal(spec_l_md, md_list, target_col):
+                            md_list.append(spec_l_md)
+
+            # tmp_minimal_vio = copy.deepcopy(minimal_vio)
+            for vio in minimal_vio[:]:
+                if not if_minimal(vio, md_list, target_col):
+                    minimal_vio.remove(vio)
+
+    manager = multiprocessing.Manager()
+    lock = manager.Lock()
+    if len(minimal_vio) == 0:
+        return md_list, []
+    pool = multiprocessing.Pool(len(minimal_vio))
+    # tmp = copy.deepcopy(minimal_vio)
+    with manager:
+        proxy_minimal_vio = manager.list(minimal_vio)
+        for _ in minimal_vio[:]:
+            pool.apply_async(remove_by_confidence, args=(_, proxy_minimal_vio, data, target_col, lock))
+        pool.close()
+        pool.join()
+        minimal_vio = list(proxy_minimal_vio)
+
+    for _ in minimal_vio[:]:
+        if not if_minimal(_, minimal_vio, target_col):
+            minimal_vio.remove(_)
+
+    for _ in md_list[:]:
+        if not if_minimal(_, md_list, target_col):
+            md_list.remove(_)
+
+    return md_list, minimal_vio
+
+
+def get_mds_metadata(md_list, dataset_path, target_col):
+    data = pd.read_csv(dataset_path, low_memory=False, encoding='ISO-8859-1')
+    data.fillna("", inplace=True)
+    data = data.astype(str)
+
+    manager = multiprocessing.Manager()
+    if len(md_list) == 0:
+        return []
+    pool = multiprocessing.Pool(len(md_list))
+    result = []
+    with manager:
+        for _ in md_list:
+            task = pool.apply_async(get_one_md_metadata, args=(_, data, target_col))
+            support, confidence = task.get()
+            result.append({"md": _, "support": support, "confidence": confidence})
+        pool.close()
+        pool.join()
+    return result
+
+
+def get_one_md_metadata(md, dataframe, target_col):
+    support = 0
+    pre_confidence = 0
+    for row1 in dataframe.itertuples():
+        i = row1[0]
+        df_slice = dataframe[i + 1:]
+        for row2 in df_slice.itertuples():
+            left_satisfy = True
+            both_satisfy = True
+            for col in dataframe.columns.values.tolist():
+                sim = my_Levenshtein_ratio(getattr(row1, col), getattr(row2, col))
+                if col == target_col:
+                    if sim < 1:
+                        both_satisfy = False
+                else:
+                    if sim < md[col]:
+                        left_satisfy = False
+                        both_satisfy = False
+            if left_satisfy:
+                support += 1
+            if both_satisfy:
+                pre_confidence += 1
+
+    confidence = 0 if support == 0 else pre_confidence / support
+    # return {"md": md, "support": support, "confidence": confidence}
+    return support, confidence

hpo/magellan_hpo.py

@@ -1,117 +0,0 @@
-import json
-import pickle
-import time
-
-from ConfigSpace import Categorical, Configuration, ConfigurationSpace, Integer, Float
-from ConfigSpace.conditions import InCondition, EqualsCondition, AndConjunction
-from ConfigSpace.read_and_write import json as csj
-import py_entitymatching.catalog.catalog_manager as cm
-import pandas as pd
-from colorama import Fore, init
-from smac import HyperparameterOptimizationFacade, Scenario, BlackBoxFacade
-
-from ml_er.magellan_er import matching
-from settings import *
-
-
-class Optimization:
-    @property
-    def configspace(self) -> ConfigurationSpace:
-        cs = ConfigurationSpace(seed=0)
-
-        ml_matcher = Categorical("ml_matcher", ["dt", "svm", "rf"])
-        # note 以tree开头的超参数是DT和RF共用的
-        tree_criterion = Categorical("tree_criterion", ["gini", "entropy", "log_loss"], default="gini")
-        rf_n_estimators = Integer('number_of_tree', (10, 150))
-        tree_max_depth = Integer('tree_max_depth', (15, 30), default=None)
-        rf_max_features = Categorical('rf_max_features', ["sqrt", "log2", "auto"], default='sqrt')
-
-        svm_kernel = Categorical('svm_kernel', ['linear', 'poly', 'rbf', 'sigmoid', 'precomputed'], default='rbf')
-        svm_C = Integer('svm_C', (1, 100), default=1)
-        svm_gamma = Categorical('svm_gamma', ['scale', 'auto'], default='scale')
-        svm_degree = Integer('svm_degree', (1, 3), default=3)
-        svm_constant = Float('svm_constant', (0.0, 5.0), default=0.0)
-
-        dt_splitter = Categorical('dt_splitter', ["best", "random"], default='best')
-        dt_max_features = Categorical('dt_max_features', ["auto", "sqrt", "log2"], default=None)
-
-        cs.add_hyperparameters([ml_matcher, tree_criterion, rf_n_estimators, tree_max_depth, rf_max_features,
-                                svm_kernel, svm_C, svm_gamma, svm_degree, svm_constant, dt_splitter, dt_max_features])
-
-        active_tree_criterion = InCondition(child=tree_criterion, parent=ml_matcher, values=['dt', 'rf'])
-        active_tree_max_depth = InCondition(child=tree_max_depth, parent=ml_matcher, values=['dt', 'rf'])
-        active_rf_n_estimators = EqualsCondition(child=rf_n_estimators, parent=ml_matcher, value="rf")
-        active_rf_max_features = EqualsCondition(child=rf_max_features, parent=ml_matcher, value="rf")
-        active_dt_splitter = EqualsCondition(child=dt_splitter, parent=ml_matcher, value="dt")
-        active_dt_max_features = EqualsCondition(child=dt_max_features, parent=ml_matcher, value="dt")
-        active_svm_kernel = EqualsCondition(child=svm_kernel, parent=ml_matcher, value="svm")
-        active_svm_C = EqualsCondition(child=svm_C, parent=ml_matcher, value="svm")
-        active_svm_gamma1 = EqualsCondition(child=svm_gamma, parent=ml_matcher, value="svm")
-        active_svm_degree1 = EqualsCondition(child=svm_degree, parent=ml_matcher, value="svm")
-        active_svm_constant1 = EqualsCondition(child=svm_constant, parent=ml_matcher, value="svm")
-
-        active_svm_gamma2 = InCondition(child=svm_gamma, parent=svm_kernel, values=["rbf", "poly", "sigmoid"])
-        active_svm_degree2 = EqualsCondition(child=svm_degree, parent=svm_kernel, value="poly")
-        active_svm_constant2 = InCondition(child=svm_constant, parent=svm_kernel, values=["poly", "sigmoid"])
-
-        cs.add_conditions([active_svm_C, active_svm_kernel, active_dt_splitter, active_rf_n_estimators,
-                           active_dt_max_features, active_rf_max_features, active_tree_max_depth, active_tree_criterion,
-                           AndConjunction(active_svm_gamma1, active_svm_gamma2),
-                           AndConjunction(active_svm_degree1, active_svm_degree2),
-                           AndConjunction(active_svm_constant1, active_svm_constant2)])
-        return cs
-
-    def train(self, config: Configuration, seed: int = 0) -> float:
-        cm.del_catalog()
-        indicators = matching(config)
-        return 1 - indicators['performance']
-
-
-def ml_er_hpo():
-    optimization = Optimization()
-    cs = optimization.configspace
-    str_configspace = csj.write(cs)
-    dict_configspace = json.loads(str_configspace)
-    # 将超参数空间保存本地
-    with open(hpo_output_dir + r"\configspace.json", "w") as f:
-        json.dump(dict_configspace, f, indent=4)
-
-    scenario = Scenario(
-        cs,
-        crash_cost=1.0,
-        deterministic=True,
-        n_trials=16,
-        n_workers=1
-    )
-
-    initial_design = BlackBoxFacade.get_initial_design(scenario, n_configs=5)
-
-    smac = BlackBoxFacade(
-        scenario,
-        optimization.train,
-        initial_design=initial_design,
-        overwrite=True,  # If the run exists, we overwrite it; alternatively, we can continue from last state
-    )
-
-    incumbent = smac.optimize()
-    incumbent_cost = smac.validate(incumbent)
-    default = cs.get_default_configuration()
-    default_cost = smac.validate(default)
-    print(Fore.BLUE + f"Default Cost: {default_cost}")
-    print(Fore.BLUE + f"Incumbent Cost: {incumbent_cost}")
-
-    if incumbent_cost > default_cost:
-        incumbent = default
-        print(Fore.RED + f'Updated Incumbent Cost: {default_cost}')
-
-    print(Fore.BLUE + f"Optimized Configuration:{incumbent.values()}")
-
-    with open(hpo_output_dir + r"\incumbent.json", "w") as f:
-        json.dump(dict(incumbent), f, indent=4)
-    return incumbent
-
-
-if __name__ == '__main__':
-    init(autoreset=True)
-    print(Fore.CYAN + f'Start Time: {time.time()}')
-    ml_er_hpo()

md_discovery/md_mining.py

@@ -1,265 +0,0 @@
-import itertools
-import pickle
-import random
-import operator
-from operator import itemgetter
-
-import pandas as pd
-import torch
-import matplotlib.pyplot as plt
-from torch import LongTensor
-from tqdm import tqdm
-
-from settings import *
-
-
-# note 对表进行嵌入时定位了有空值的cell, 计算相似度时有空值则置为-1.0000
-def mining(train: pd.DataFrame):
-    # data is train set, in which each row represents a tuple pair
-    train = train.astype(str)
-    # 将label列移到最后
-    train = pd.concat([train, pd.DataFrame({'label': train.pop('label')})], axis=1)
-
-    # 尝试不将左右表key手动调整相同，而是只看gold属性是否为1
-    # 故将左右表key直接去除
-    data = train.drop(columns=['_id', 'ltable_id', 'rtable_id'], inplace=False)
-    # data中现存属性：除key以外左右表属性和gold, 不含_id
-    columns = data.columns.values.tolist()
-    columns_without_prefix = [_.replace('ltable_', '') for _ in columns if _.startswith('ltable_')]
-
-    # 列表, 每个元素为二元组, 包含对应列的索引
-    col_tuple_list = build_col_tuple_list(columns)
-
-    length = data.shape[0]
-    width = data.shape[1]
-
-    # 嵌入data每一个cell, 纵向遍历
-    # note 此处已重设索引
-    data = data.reset_index(drop=True)
-    sentences = data.values.flatten(order='F').tolist()
-    embedding = model.encode(sentences, convert_to_tensor=True, device="cuda", batch_size=256, show_progress_bar=True)
-
-    split_embedding = torch.split(embedding, length, dim=0)
-    table_tensor = torch.stack(split_embedding, dim=0, out=None)
-    norm_table_tensor = torch.nn.functional.normalize(table_tensor, dim=2)
-
-    # sim_tensor_dict = {}
-    sim_tensor_list = []
-    for col_tuple in col_tuple_list:
-        mask = ((data[columns[col_tuple[0]]].isin([''])) | (data[columns[col_tuple[1]]].isin([''])))
-        empty_string_indices = data[mask].index.tolist()  # 空字符串索引
-
-        lattr_tensor = norm_table_tensor[col_tuple[0]]
-        rattr_tensor = norm_table_tensor[col_tuple[1]]
-        mul_tensor = lattr_tensor * rattr_tensor
-        sim_tensor = torch.sum(mul_tensor, 1)  # 求和得到对应属性2列张量相似度, 2列变1列
-        # 将有空字符串的位置强制置为-1.0000
-        sim_tensor = sim_tensor.scatter(0, torch.tensor(empty_string_indices, device='cuda').long(), -1.0000)
-        sim_tensor = torch.round(sim_tensor, decimals=2)
-        sim_tensor_list.append(sim_tensor.unsqueeze(1))
-        # sim_tensor_dict[columns[col_tuple[0]].replace('ltable_', '')] = sim_tensor
-    sim_table_tensor = torch.cat(sim_tensor_list, dim=1)
-
-    # 创建一个1列的tensor，长度与相似度张量相同，先初始化为全0
-    label_tensor = torch.zeros((sim_table_tensor.size(0), 1), device='cuda')
-    # 生成带标签的相似度张量
-    sim_table_tensor_labeled = torch.cat((sim_table_tensor, label_tensor), 1)
-    # 找到匹配元组对的行索引
-    mask = (data['label'].isin(['1']))
-    match_pair_indices = data[mask].index.tolist()
-    # 根据索引将匹配的行标签置为1
-    sim_table_tensor_labeled[match_pair_indices, -1] = 1.00
-
-    sorted_unique_value_tensor_list = []
-    for _ in range(len(col_tuple_list)):
-        # 将sim_table_tensor每一列的值从小到大排列，加入列表
-        sorted_unique_value_tensor = torch.sort(sim_table_tensor[:, _].unique()).values
-        # 将每一列可能的相似度取值中小于0的都删掉
-        sorted_unique_value_tensor = sorted_unique_value_tensor[sorted_unique_value_tensor >= 0]
-        sorted_unique_value_tensor_list.append(sorted_unique_value_tensor)
-
-    # 随机生成候选MD, 形成一个二维张量, 每一行代表一个候选MD
-    candidate_mds_tensor = build_candidate_md_matrix(sorted_unique_value_tensor_list)
-    result_list = []
-    # 遍历每一个MD
-    for _ in tqdm(range(candidate_mds_tensor.shape[0])):
-        # 对每一个MD加一个0.5的标记, 意为match
-        md_tensor_labeled = torch.cat((candidate_mds_tensor[_], torch.tensor([0.5], device='cuda')), 0)
-        abs_support, confidence = get_metrics(md_tensor_labeled, sim_table_tensor_labeled)
-        if abs_support >= support_threshold and confidence >= confidence_threshold:
-            md_list_format = [round(i, 2) for i in candidate_mds_tensor[_].tolist()]
-            md_dict_format = {}
-            for k in range(0, len(columns_without_prefix)):
-                md_dict_format[columns_without_prefix[k]] = md_list_format[k]
-            result_list.append((md_dict_format, abs_support, confidence))
-    # result_list.sort(key=itemgetter(2), reverse=True)
-    # 按confidence->support的优先级排序
-    result_list.sort(key=itemgetter(2, 1), reverse=True)
-    result_list = merge_mds(result_list)
-    result_list.sort(key=itemgetter(2, 1), reverse=True)
-    # 保存到本地
-    mds_to_txt(result_list)
-    return result_list
-
-    # 遍历MD列表, 将满足的直接加入结果列表, 不满足的看能否收紧, 不能收紧直接跳过
-    # 若能收紧则将收紧后的一个个加入暂存列表, 并在该轮遍历结束后替换MD列表, 直到MD列表为空
-    # while len(md_list) > 0:
-    #     tmp_list = []
-    #     for md_tensor in tqdm(md_list):
-    #         md_tensor_labeled = torch.cat((md_tensor, torch.tensor([0.5], device='cuda')), 0)
-    #         abs_support, confidence = get_metrics(md_tensor_labeled, sim_table_tensor_labeled)
-    #         # 如果support小于1, 没必要收紧阈值, 跳过
-    #         if abs_support >= 1:
-    #             # 如果support满足但confidence不满足, 需要收紧阈值
-    #             if confidence < confidence_threshold:
-    #                 for _ in range(len(md_tensor)):
-    #                     new_md_tensor = md_tensor.clone()
-    #                     if new_md_tensor[_] == -1.00:
-    #                         new_md_tensor[_] = sorted_unique_value_tensor_list[_][0]
-    #                         if len(tmp_list) == 0:
-    #                             tmp_list.append(new_md_tensor)
-    #                         else:
-    #                             stacked_tmp_tensors = torch.stack(tmp_list)
-    #                             is_contained = (stacked_tmp_tensors == new_md_tensor) .all(dim=1).any()
-    #                             if not is_contained:
-    #                                 tmp_list.append(new_md_tensor)
-    #                     else:
-    #                         a_tensor = sorted_unique_value_tensor_list[_]
-    #                         b_value = new_md_tensor[_]
-    #                         next_index = torch.where(a_tensor == b_value)[0].item() + 1
-    #                         if next_index < len(a_tensor):
-    #                             new_md_tensor[_] = a_tensor[next_index]
-    #                             tmp_list.append(new_md_tensor)
-    #                 # torch.where(sorted_unique_value_tensor_list[2] == 0.16)[0].item()
-    #             # 如果都满足, 直接加进结果列表
-    #             else:
-    #                 result_list.append(md_tensor)
-    #     md_list = tmp_list
-
-
-def build_col_tuple_list(columns_):
-    col_tuple_list_ = []
-    for _ in columns_:
-        if _.startswith('ltable'):
-            left_index = columns_.index(_)
-            right_index = columns_.index(_.replace('ltable_', 'rtable_'))
-            col_tuple_list_.append((left_index, right_index))
-    return col_tuple_list_
-
-
-# def init_md_list(md_dimension: int):
-#     md_list_ = []
-#     # 创建全为-1的初始MD, 保留两位小数
-#     init_md_tensor = torch.full((md_dimension, ), -1.0, device='cuda')
-#     init_md_tensor = torch.round(init_md_tensor, decimals=2)
-#     md_list_.append(init_md_tensor)
-#     return md_list_
-
-
-def get_metrics(md_tensor_labeled_, sim_table_tensor_labeled_):
-    table_tensor_length = sim_table_tensor_labeled_.size()[0]
-    # MD原本为列向量, 转置为行向量
-    md_tensor_labeled_2d = md_tensor_labeled_.unsqueeze(1).transpose(0, 1)
-    # 沿行扩展1倍(不扩展), 沿列扩展至与相似度表同样长
-    md_tensor_labeled_2d = md_tensor_labeled_2d.repeat(table_tensor_length, 1)
-    # 去掉标签列, 判断每一行相似度是否大于等于MD要求, 该张量行数与sim_table_tensor_labeled_相同, 少一列标签列
-    support_tensor = torch.ge(sim_table_tensor_labeled_[:, :-1], md_tensor_labeled_2d[:, :-1])
-    # 沿行方向判断support_tensor每一行是否都为True, 行数不变, 压缩为1列
-    support_tensor = torch.all(support_tensor, dim=1, keepdim=True)
-    # 统计这个tensor中True的个数, 即为absolute support
-    abs_support_ = torch.sum(support_tensor).item()
-
-    # 保留标签列, 判断每一行相似度是否大于等于MD要求
-    support_tensor = torch.ge(sim_table_tensor_labeled_, md_tensor_labeled_2d)
-    # 统计既满足相似度要求也匹配的, abs_strict_support表示左右都满足的个数
-    support_tensor = torch.all(support_tensor, dim=1, keepdim=True)
-    abs_strict_support_ = torch.sum(support_tensor).item()
-    # 计算confidence
-    confidence_ = abs_strict_support_ / abs_support_ if abs_support_ > 0 else 0
-    return abs_support_, confidence_
-
-
-# 随机生成MD, 拼成一个矩阵, 每一行代表一条MD
-def build_candidate_md_matrix(sorted_unique_value_tensor_list_: list):
-    # 假设先随机抽取20000条
-    length_ = len(sorted_unique_value_tensor_list_)
-    N = 20000
-    # 对于第一列所有相似度取值, 随机有放回地抽取N个, 生成行索引
-    indices = torch.randint(0, len(sorted_unique_value_tensor_list_[0]), (N, 1))
-    # 为每一列生成一个索引张量, 表示从相应列张量中随机选择的值的索引
-    for _ in range(1, length_):
-        indices = torch.cat((indices, torch.randint(0, len(sorted_unique_value_tensor_list_[_]), (N, 1))), dim=1)
-    # 使用生成的索引从每个列相似度张量中选取值, 构成新的张量
-    candidate_md_matrix_list = []
-    for _ in range(length_):
-        candidate_md_matrix_list.append(sorted_unique_value_tensor_list_[_][indices[:, _].long()].unsqueeze(1))
-    candidate_md_matrix_ = torch.cat(candidate_md_matrix_list, dim=1)
-
-    # 此tensor将与其他置为-1的tensor拼接
-    joint_candidate_md_matrix_ = candidate_md_matrix_.clone()
-    # 随机将1列, 2列......, M-1列置为-1
-    for i in range(length_ - 1):
-        index_list_format = []
-        for j in range(candidate_md_matrix_.shape[0]):
-            # 对每条MD，随机选择将要置为-1的列索引
-            index_list_format.append(random.sample([_ for _ in range(0, length_)], i + 1))
-        index = torch.tensor(index_list_format, device='cuda')
-        # 随机调整为-1后的MD集合
-        modified_candidate = candidate_md_matrix_.scatter(1, index, -1)
-        joint_candidate_md_matrix_ = torch.cat((joint_candidate_md_matrix_, modified_candidate), 0)
-    joint_candidate_md_matrix_ = joint_candidate_md_matrix_.unique(dim=0)
-    return joint_candidate_md_matrix_
-
-
-def mds_to_txt(result_list_):
-    p = md_output_dir + r"\mds.txt"
-    with open(p, 'w') as f:
-        for _ in result_list_:
-            f.write(f'MD: {str(_[0])}\tAbsolute Support: {str(_[1])}\tConfidence: {str(_[2])}')
-            f.write('\n')
-
-
-# 合并一些MD
-def merge_mds(md_list_):
-    # 创建一个空字典用于分组
-    grouped_md_tuples = {}
-    # 遍历三元组并对它们进行分组
-    for md_tuple in md_list_:
-        # 提取Support和Confidence的值作为字典的键
-        key = (md_tuple[1], md_tuple[2])
-        # 检查键是否已经存在于分组字典中
-        if key in grouped_md_tuples:
-            # 如果存在，将三元组添加到对应的列表中
-            grouped_md_tuples[key].append(md_tuple)
-        else:
-            # 如果不存在，创建一个新的键值对
-            grouped_md_tuples[key] = [md_tuple]
-    # 不要键只要值
-    # 一个二级列表, 每个子列表中MD tuple的support和confidence一样
-    grouped_md_tuples = list(grouped_md_tuples.values())
-
-    for same_sc_list in grouped_md_tuples:
-        # 创建一个索引列表，用于标记需要删除的元组
-        indices_to_remove = []
-        # 获取元组列表的长度
-        length = len(same_sc_list)
-        # 遍历元组列表，进行比较和删除操作
-        for i in range(length):
-            for j in range(length):
-                # 比较两个元组的字典值
-                if i != j and all(same_sc_list[i][0][key_] >= same_sc_list[j][0][key_] for key_ in same_sc_list[i][0]):
-                    # 如果同组内一个MD的所有相似度阈值都大于等于另一个MD, 则前者可以删除
-                    indices_to_remove.append(i)
-                    break  # 由于列表大小会变化，跳出内层循环
-        # 根据索引列表逆序删除元组，以避免在删除时改变列表大小
-        for index in sorted(indices_to_remove, reverse=True):
-            del same_sc_list[index]
-    # 二级列表转一级列表
-    return list(itertools.chain.from_iterable(grouped_md_tuples))
-
-
-if __name__ == '__main__':
-    _train = pd.read_csv(directory_path + r'\train_whole.csv')
-    result = mining(_train)
-    with open(md_output_dir + r"\mds.pickle", "wb") as file_:
-        pickle.dump(result, file_)

ml_er/magellan_er.py

@@ -1,204 +0,0 @@
-import json
-import os
-import pickle
-import time
-
-import ConfigSpace
-import pandas as pd
-import py_entitymatching as em
-import torch
-from ConfigSpace import Configuration
-from ConfigSpace.read_and_write import json as csj
-import py_entitymatching.catalog.catalog_manager as cm
-from tqdm import tqdm
-from colorama import Fore
-
-from settings import *
-
-
-def matching(config: Configuration):
-    print(Fore.BLUE + f'Config: {config}')
-    with open(md_output_dir + r"\mds.pickle", "rb") as file:
-        md_list = pickle.load(file)
-
-    train_set = pd.read_csv(directory_path + r'\train_whole.csv', encoding='ISO-8859-1')
-    test_set = pd.read_csv(directory_path + r'\test_whole.csv', encoding='ISO-8859-1')
-    ltable = pd.read_csv(directory_path + r'\tableA.csv', encoding='ISO-8859-1')
-    rtable = pd.read_csv(directory_path + r'\tableB.csv', encoding='ISO-8859-1')
-    ml_matcher = config["ml_matcher"]
-    match ml_matcher:
-        case "dt":
-            matcher = em.DTMatcher(name='DecisionTree', random_state=0, criterion=config['tree_criterion'],
-                                   max_depth=config['tree_max_depth'], splitter=config['dt_splitter'],
-                                   max_features=config['dt_max_features'])
-        case "svm":
-            matcher = em.SVMMatcher(name='SVM', random_state=0, kernel=config['svm_kernel'], degree=config['svm_degree'],
-                                    gamma=config['svm_gamma'], C=config['svm_C'], coef0=config['svm_constant'])
-        case "rf":
-            matcher = em.RFMatcher(name='RandomForest', random_state=0, criterion=config['tree_criterion'],
-                                   max_depth=config['tree_max_depth'], n_estimators=config['number_of_tree'],
-                                   max_features=config['rf_max_features'])
-
-    cm.set_key(train_set, '_id')
-    cm.set_fk_ltable(train_set, 'ltable_id')
-    cm.set_fk_rtable(train_set, 'rtable_id')
-    cm.set_ltable(train_set, ltable)
-    cm.set_rtable(train_set, rtable)
-    cm.set_key(ltable, 'id')
-    cm.set_key(rtable, 'id')
-
-    cm.set_key(test_set, '_id')
-    cm.set_fk_ltable(test_set, 'ltable_id')
-    cm.set_fk_rtable(test_set, 'rtable_id')
-    cm.set_ltable(test_set, ltable)
-    cm.set_rtable(test_set, rtable)
-    feature_table = em.get_features_for_matching(ltable, rtable, validate_inferred_attr_types=False)
-    train_feature_vecs = em.extract_feature_vecs(train_set,
-                                                 feature_table=feature_table,
-                                                 attrs_after=['label'],
-                                                 show_progress=False)
-    train_feature_vecs.fillna(value=0, inplace=True)
-
-    test_feature_after = ['ltable_' + i for i in ltable.columns.values.tolist()]
-    for _ in test_feature_after[:]:
-        test_feature_after.append(_.replace('ltable_', 'rtable_'))
-    for _ in test_feature_after:
-        if _.endswith('id'):
-            test_feature_after.remove(_)
-    test_feature_after.append('label')
-    test_feature_vecs = em.extract_feature_vecs(test_set, feature_table=feature_table,
-                                                attrs_after=test_feature_after, show_progress=False)
-    test_feature_vecs.fillna(value=0, inplace=True)
-
-    fit_exclude = ['_id', 'ltable_id', 'rtable_id', 'label']
-    matcher.fit(table=train_feature_vecs, exclude_attrs=fit_exclude, target_attr='label')
-    test_feature_after.extend(['_id', 'ltable_id', 'rtable_id'])
-    predictions = matcher.predict(table=test_feature_vecs, exclude_attrs=test_feature_after,
-                                  append=True, target_attr='predicted', inplace=False)
-    eval_result = em.eval_matches(predictions, 'label', 'predicted')
-    em.print_eval_summary(eval_result)
-    indicators = evaluate_prediction(predictions, 'label', 'predicted')
-
-    test_feature_after.remove('_id')
-    test_feature_after.append('predicted')
-    predictions = predictions[test_feature_after]
-
-    predictions = predictions.reset_index(drop=True)
-    predictions = predictions.astype(str)
-    # 目前predictions包含的属性：左右表全部属性+gold+predicted
-    sim_tensor_dict = build_col_pairs_sim_tensor_dict(predictions)
-    predictions['confidence'] = 0
-    predictions['md'] = ''
-
-    epl_match = 0  # 可解释，预测match
-    if len(md_list) > 0:
-        for row in tqdm(predictions.itertuples()):
-            if str(getattr(row, 'predicted')) == str(1):
-                conf, md_dict = is_explicable(row, md_list, sim_tensor_dict)
-                if conf > 0:
-                    predictions.loc[row[0], 'confidence'] = conf
-                    predictions.loc[row[0], 'md'] = str(md_dict)
-                    epl_match += 1
-
-    df = predictions[predictions['predicted'] == str(1)]
-    interpretability = epl_match / len(df)  # 可解释性
-    indicators['interpretability'] = interpretability
-    performance = interpre_weight * interpretability + (1 - interpre_weight) * indicators["F1"]
-    indicators['performance'] = performance
-    print(Fore.BLUE + f'ER Indicators: {indicators}')
-    predictions.to_csv(er_output_dir + r'\predictions.csv', sep=',', index=False, header=True)
-    print(Fore.CYAN + f'Finish Time: {time.time()}')
-    return indicators
-
-
-def evaluate_prediction(prediction_: pd.DataFrame, labeled_attr: str, predicted_attr: str) -> dict:
-    new_df = prediction_.reset_index(drop=False, inplace=False)
-    gold = new_df[labeled_attr]
-    predicted = new_df[predicted_attr]
-    gold_negative = gold[gold == 0].index.values
-    gold_positive = gold[gold == 1].index.values
-    predicted_negative = predicted[predicted == 0].index.values
-    predicted_positive = predicted[predicted == 1].index.values
-
-    false_positive_indices = list(set(gold_negative).intersection(predicted_positive))
-    true_positive_indices = list(set(gold_positive).intersection(predicted_positive))
-    false_negative_indices = list(set(gold_positive).intersection(predicted_negative))
-
-    num_true_positives = float(len(true_positive_indices))
-    num_false_positives = float(len(false_positive_indices))
-    num_false_negatives = float(len(false_negative_indices))
-
-    precision_denominator = num_true_positives + num_false_positives
-    recall_denominator = num_true_positives + num_false_negatives
-
-    precision = 0.0 if precision_denominator == 0.0 else num_true_positives / precision_denominator
-    recall = 0.0 if recall_denominator == 0.0 else num_true_positives / recall_denominator
-    F1 = 0.0 if precision == 0.0 and recall == 0.0 else (2.0 * precision * recall) / (precision + recall)
-
-    return {"precision": precision, "recall": recall, "F1": F1}
-
-
-def build_col_pairs_sim_tensor_dict(predictions: pd.DataFrame):
-    predictions_attrs = predictions.columns.values.tolist()
-    col_tuple_list = []
-    for _ in predictions_attrs:
-        if _.startswith('ltable'):
-            left_index = predictions_attrs.index(_)
-            right_index = predictions_attrs.index(_.replace('ltable_', 'rtable_'))
-            col_tuple_list.append((left_index, right_index))
-
-    length = predictions.shape[0]
-    # width = predictions.shape[1]
-    predictions = predictions.reset_index(drop=True)
-    sentences = predictions.values.flatten(order='F').tolist()
-
-    embedding = model.encode(sentences, convert_to_tensor=True, device="cuda", batch_size=256, show_progress_bar=True)
-    split_embedding = torch.split(embedding, length, dim=0)
-    table_tensor = torch.stack(split_embedding, dim=0, out=None)
-    # prediction的归一化嵌入张量
-    norm_table_tensor = torch.nn.functional.normalize(table_tensor, dim=2)
-    sim_tensor_dict = {}
-    for col_tuple in col_tuple_list:
-        lattr_tensor = norm_table_tensor[col_tuple[0]]
-        rattr_tensor = norm_table_tensor[col_tuple[1]]
-        mul_tensor = lattr_tensor * rattr_tensor
-        sim_tensor = torch.sum(mul_tensor, 1)
-        sim_tensor = torch.round(sim_tensor, decimals=2)
-        sim_tensor_dict[predictions_attrs[col_tuple[0]].replace('ltable_', '')] = sim_tensor
-    return sim_tensor_dict
-
-
-def is_explicable(row, all_mds: list, st_dict):
-    attrs = all_mds[0][0].keys()  # 从第一条md_tuple中的md字典中读取所有字段
-    for md_tuple in all_mds:
-        explicable = True  # 假设这条md能解释当前元组
-        for a in attrs:
-            if st_dict[a][row[0]].item() < md_tuple[0][a]:
-                explicable = False  # 任意一个字段的相似度达不到阈值，这条md就不能解释当前元组
-                break  # 不再与当前md的其他相似度阈值比较，跳转到下一条md
-        if explicable:
-            return md_tuple[2], md_tuple[0]  # 任意一条md能解释，直接返回
-    return -1.0, {}  # 遍历结束，不能解释
-
-
-def ml_er(config: Configuration):
-    indicators = matching(config)
-    output_path = er_output_dir + r"\eval_result.txt"
-    with open(output_path, 'w') as _f:
-        _f.write('Precision:' + str(indicators["precision"]) + '\n')
-        _f.write('Recall:' + str(indicators["recall"]) + '\n')
-        _f.write('F1:' + str(indicators["F1"]) + '\n')
-        _f.write('interpretability:' + str(indicators['interpretability']) + '\n')
-        _f.write('performance:' + str(indicators['performance']) + '\n')
-
-
-if __name__ == '__main__':
-    if os.path.isfile(hpo_output_dir + r"\incumbent.json"):
-        with open(hpo_output_dir + r"\configspace.json", 'r') as f:
-            dict_configspace = json.load(f)
-        str_configspace = json.dumps(dict_configspace)
-        configspace = csj.read(str_configspace)
-        with open(hpo_output_dir + r"\incumbent.json", 'r') as f:
-            dic = json.load(f)
-        configuration = ConfigSpace.Configuration(configspace, values=dic)
-        ml_er(configuration)

script/get_support_and_confidence.py

@@ -0,0 +1,48 @@
+import time
+from functions.multi_process_infer_by_pairs import inference_from_record_pairs
+from functions.multi_process_infer_by_pairs import get_mds_metadata
+
+if __name__ == '__main__':
+    # 目前可以仿照这个main函数写
+    path = "/home/w/PycharmProjects/matching_dependency/input/T_positive_with_id_concat_single_tuple.csv"
+    start = time.time()
+    # 输入：csv文件路径，md左侧相似度阈值，md右侧目标字段
+    # 输出：2个md列表，列表1中md无violation,列表2中md有violation但confidence满足阈值(0.8)
+    # 例如此处输入参数要求md左侧相似度字段至少为0.7，右侧指向'id'字段
+    mds, mds_vio = inference_from_record_pairs(path, 0.1, 'id_concat')
+
+    # 如果不需要输出support和confidence，去掉下面两行
+    mds_meta = get_mds_metadata(mds, path, 'id_concat')
+    mds_vio_meta = get_mds_metadata(mds_vio, path, 'id_concat')
+
+    # # 若不输出support和confidence，使用以下两块代码
+    # # 将列表1写入本地，路径需自己修改
+    # md_path = '/home/w/A-New Folder/8.14/Paper Dataset/TP_md_list.txt'
+    # with open(md_path, 'w') as f:
+    #     for _ in mds:
+    #         f.write(str(_) + '\n')
+    #
+    # # 将列表2写入本地，路径需自己修改
+    # vio_path = '/home/w/A-New Folder/8.14/Paper Dataset/TP_vio_list.txt'
+    # with open(vio_path, 'w') as f:
+    #     for _ in mds_vio:
+    #         f.write(str(_) + '\n')
+
+    # 若输出support和confidence，使用以下两块代码
+    # 将列表1写入本地，路径需自己修改
+    md_path = "output/md.txt"
+    with open(md_path, 'w') as f:
+        for _ in mds_meta:
+            for i in _.keys():
+                f.write(i + ':' + str(_[i]) + '\t')
+            f.write('\n')
+
+    # 将列表2写入本地，路径需自己修改
+    vio_path = "output/vio.txt"
+    with open(vio_path, 'w') as f:
+        for _ in mds_vio_meta:
+            for i in _.keys():
+                f.write(i + ':' + str(_[i]) + '\t')
+            f.write('\n')
+
+    print(time.time() - start)

settings.py

@@ -1,12 +0,0 @@
-from sentence_transformers import SentenceTransformer
-
-directory_path = r'E:\Data\Research\Datasets\DeepMatcher dataset\Dirty\Walmart-Amazon'
-
-er_output_dir = r'E:\Data\Research\Projects\md_bayesian_er_magellan\ml_er\output'
-md_output_dir = r'E:\Data\Research\Projects\md_bayesian_er_magellan\md_discovery\output'
-hpo_output_dir = r'E:\Data\Research\Projects\md_bayesian_er_magellan\hpo\output'
-
-model = SentenceTransformer(r'E:\Data\Research\Models\all-MiniLM-L6-v2')
-interpre_weight = 0  # 可解释性权重
-support_threshold = 1
-confidence_threshold = 0.75