add 32 from gpt4

data_set_training.csv

@@ -386,4 +386,37 @@ VALLEY HEALTHCARE SYSTEM 1600 FORT BENNING RD, COLUMBUS, GA 31903|1600 FORT BENN
 1234 S KINGSHIGHWAY BLVD, ST. LOUIS, MO 63110|1234 S KINGSHIGHWAY BLVD, ST. LOUIS, MO 63109|0
 4021 SW 10TH ST, DEERFIELD BEACH, FL 33442|4021 SOUTHWEST 10TH STREET, DEERFIELD BEACH, FL 33442|1
 4021 SW 10TH ST, DEERFIELD BEACH, FL 33442|4022 SW 10TH ST, DEERFIELD BEACH, FL 33443|0
-4021 SW 10TH ST, DEERFIELD BEACH, FL 33442|4021 SW 10TH ST, DEERFIELD BEACH, FL 33444|0
+4021 SW 10TH ST, DEERFIELD BEACH, FL 33442|4021 SW 10TH ST, DEERFIELD BEACH, FL 33444|0
+1256 GRAND AVE, SAINT PAUL, MN 55105|1256 GRAND AVENUE, SAINT PAUL, MN 55105|1
+1256 GRAND AVE, SAINT PAUL, MN 55105|1257 GRAND AVE, SAINT PAUL, MN 55105|0
+1256 GRAND AVE, SAINT PAUL, MN 55105|1256 GRAND AVE, ST PAUL, MN 55105|1
+315 N MAIN ST, SPRINGFIELD, IL 62701|315 NORTH MAIN STREET, SPRINGFIELD, IL 62701|1
+315 N MAIN ST, SPRINGFIELD, IL 62701|316 N MAIN ST, SPRINGFIELD, IL 62701|0
+4552 W MONROE ST, CHICAGO, IL 60624|4552 WEST MONROE STREET, CHICAGO, IL 60624|1
+4552 W MONROE ST, CHICAGO, IL 60624|4553 W MONROE ST, CHICAGO, IL 60624|0
+200 OCEAN AVE, BROOKLYN, NY 11225|200 OCEAN AVENUE, BROOKLYN, NY 11225|1
+200 OCEAN AVE, BROOKLYN, NY 11225|201 OCEAN AVE, BROOKLYN, NY 11225|0
+9800 W SUNSET RD, LAS VEGAS, NV 89148|9800 WEST SUNSET ROAD, LAS VEGAS, NV 89148|1
+9800 W SUNSET RD, LAS VEGAS, NV 89148|9801 W SUNSET RD, LAS VEGAS, NV 89148|0
+2207 JAMES MADISON HWY, HAYMARKET, VA 20169|2207 JAMES MADISON HIGHWAY, HAYMARKET, VA 20169|1
+2207 JAMES MADISON HWY, HAYMARKET, VA 20169|2208 JAMES MADISON HWY, HAYMARKET, VA 20169|0
+7201 S BROADWAY, LITTLETON, CO 80122|7201 SOUTH BROADWAY, LITTLETON, CO 80122|1
+7201 S BROADWAY, LITTLETON, CO 80122|7202 S BROADWAY, LITTLETON, CO 80122|0
+123 MAIN ST STE 200, CHICAGO, IL 60601|123 MAIN ST SUITE 200, CHICAGO, IL 60601|1
+123 MAIN ST STE 200, CHICAGO, IL 60601|123 MAIN ST STE 201, CHICAGO, IL 60601|0
+123 MAIN ST STE 200, CHICAGO, IL 60601|123 MAIN ST #200, CHICAGO, IL 60601|1
+456 PARK AVE RM B01, NEW YORK, NY 10022|456 PARK AVE ROOM B01, NEW YORK, NY 10022|1
+456 PARK AVE RM B01, NEW YORK, NY 10022|456 PARK AVE RM B02, NEW YORK, NY 10022|0
+456 PARK AVE RM B01, NEW YORK, NY 10022|456 PARK AVE #B01, NEW YORK, NY 10022|1
+789 BROADWAY APT 3A, BROOKLYN, NY 11211|789 BROADWAY APARTMENT 3A, BROOKLYN, NY 11211|1
+789 BROADWAY APT 3A, BROOKLYN, NY 11211|789 BROADWAY APT 3B, BROOKLYN, NY 11211|0
+789 BROADWAY APT 3A, BROOKLYN, NY 11211|789 BROADWAY #3A, BROOKLYN, NY 11211|1
+1001 WILSHIRE BLVD UNIT 101, LOS ANGELES, CA 90024|1001 WILSHIRE BLVD UNIT 101, LOS ANGELES, CA 90024|1
+1001 WILSHIRE BLVD UNIT 101, LOS ANGELES, CA 90024|1001 WILSHIRE BLVD UNIT 102, LOS ANGELES, CA 90024|0
+1001 WILSHIRE BLVD UNIT 101, LOS ANGELES, CA 90024|1001 WILSHIRE BLVD #101, LOS ANGELES, CA 90024|1
+555 MARKET ST FL 5, SAN FRANCISCO, CA 94105|555 MARKET ST FLOOR 5, SAN FRANCISCO, CA 94105|1
+555 MARKET ST FL 5, SAN FRANCISCO, CA 94105|555 MARKET ST FL 6, SAN FRANCISCO, CA 94105|0
+555 MARKET ST FL 5, SAN FRANCISCO, CA 94105|555 MARKET ST #5, SAN FRANCISCO, CA 94105|1
+888 PEACHTREE ST NE APT 5C, ATLANTA, GA 30309|888 PEACHTREE ST NE APARTMENT 5C, ATLANTA, GA 30309|1
+888 PEACHTREE ST NE APT 5C, ATLANTA, GA 30309|888 PEACHTREE ST NE APT 5D, ATLANTA, GA 30309|0
+888 PEACHTREE ST NE APT 5C, ATLANTA, GA 30309|888 PEACHTREE ST NE #5C, ATLANTA, GA 30309|1

system_promts.txt

@@ -7,3 +7,63 @@ You are tasked with helping to generate test data for machine learning dataset.
 
 Generate completely different addresses.
 You are tasked with helping to generate test data for machine learning dataset. Do no prefix numbers before each line of output. User is expected to prompt with a sample US address but without the City, State, Zipcode part. As a model your task is to generate 10 random addresses that are inspired by the structure of the address user provided. Address formats should be as if a regular person may enter it into some system.
+
+
+Your task is to generate training samples based on an evaluation set provided for a neural network training problem.
+The format of the evaluation set as follows.
+1. A let of rows separated by newlines.
+2. Each row has the following structure:
+US address 1|US address 2|1
+or
+US address 1|US address 2|0
+The first and second address are compared to see if they are the same address as may have been typed
+by a user into some system. Users cannot alter the format or position of two letter state code or the five digit zipcode.
+All the letters are always capitalized so user inputs are always uppercased for purposes of training data.
+Given the following evaluation set generate 50 rows of training data that would produce a network with high accuracy but
+not so similar that they would cause overfitting to the evaluation set.
+Evaluation set:
+1061 SCHMIDT LN, NORTH BRUNSWICK TOWNSHIP, NJ 08902|1061 SCHMIDT LANE, NORTH BRUNSWICK TOWNSHIP, NJ 08902|1
+1061 SCHMIDT LN, NORTH BRUNSWICK TOWNSHIP, NJ 08902|934 SCHMIDT LN, NORTH BRUNSWICK TOWNSHIP, NJ 08902|0
+115 DR JIMMY CARR ST, STE 3F, SEARCY, AR 72143|115 DR JIMMY CARR ST, SEARCY, AR 72143|0
+14143 WINECUP LN, HOUSTON, TX 77047|14121 WINECUP LANE, HOUSTON, TX 77047|0
+1555 RUTH RD STE 5, NORTH BRUNSWICK TOWNSHIP, NJ 08902|1555 RUTH ROAD SUIT 5, NORTH BRUNSWICK TOWNSHIP, NJ 08902|1
+1555 RUTH RD STE 5, NORTH BRUNSWICK TOWNSHIP, NJ 08902|1558 RUTH ROAD STE 5, NORTH BRUNSWICK TOWNSHIP, NJ 08902|0
+17752 MAIN ST, HANOVER, PA 23393|177 52 MAIN ST, HANOVER, PA 23393|1
+17752 MAIN ST, HANOVER, PA 23393|177 52 MAIN STREET, HANOVER, PA 23393|1
+217-12 LOUDON RD, CONCORD, NH 03301|217-22 LOUDON RD, CONCORD, NH 03301|0
+2575 US HWY 43, ST 3-A, WINFIELD, AL 35594|25-75 US HWY 43, STREET 3A, WINFIELD, AL 35594|1
+2575 US HWY 43, ST 3-A, WINFIELD, AL 35594|2575 US HWY 43, ST 3B, WINFIELD, AL 35594|0
+440 TECHNOLOGY CENTER DRIVE, BOSTON, MA 10034|200 TECHNOLOGY CENTER DRIVE, BOSTON, MA 10034|0
+440 TECHNOLOGY CENTER DRIVE, BOSTON, MA 10034|440 TECHNOLOGY CENTER DR., BOSTON, MA 10034|1
+440 TECHNOLOGY CENTER DRIVE, BOSTON, MA 10034|87 TECHNOLOGY CENTER DRIVE, BOSTON, MA 10034|0
+545 16TH ST, STE 3, GULFPORT, MS 39507|545 16TH ST, FLOOR 3, GULFPORT, MS 39507|0
+5844 N ORANGE BLOSSOM TRAIL, ORLANDO, FL 32810|5844 NORTH ORANGE BLOSSOM TRAIL, ORLANDO, FL 32810|1
+65 MOUNTAIN BLVD EXT, WARREN, NJ 07059|112 MOUNTAIN BLVD EXT, WARREN, NJ 07059|0
+65 MOUNTAIN BLVD EXT, WARREN, NJ 07059|5078 S MARYLAND PKWY, LAS VEGAS, NV 89119|0
+65 MOUNTAIN BLVD EXT, WARREN, NJ 07059|65 MOUNTAIN BOULEVARD EXT, WARREN, NJ 07059|1
+6701 FANNIN ST #1400, HOUSTON, TX 77030|6701 FANNIN STE #1400, HOUSTON, TX 77030|1
+87 24 ROUTE 13, CORTLANDVILLE, NY 13045|87-24 ROUTE 13, CORTLANDVILLE, NY 13045|1
+87-43 ROUTE 13, CORTLANDVILLE, NY 13045|8724 ROUTE 13, CORTLANDVILLE, NY 13045|0
+87-44 ROUTE 13, CORTLANDVILLE, NY 13045|87 24 ROUTE 13, CORTLANDVILLE, NY 13045|0
+872 ROUTE 13, CORTLANDVILLE, NY 13045|87-2 ROUTE 13, CORTLANDVILLE ,NY 13045|1
+8724 ROUTE 13, CORTLANDVILLE, NY 13045|87-24 ROUTE 13, CORTLANDVILLE, NY 13045|1
+HEART HEALTH, 90 N COLUMBUS AVE, LOUISVILLE, MS 39339|90 N COLUMBUS AVE, LOUISVILLE, MS 39339|1
+115 34 SHOREWAY DR, QUEENSTOWN, MD 21658|115-43 SHOREWAY DR, QUEENSTOWN, MD 21658|0
+112 24 SHOREWAY DR, QUEENSTOWN, MD 21658|112-24 SHOREWAY DR, QUEENSTOWN, MD 21658|1
+3619 S 22ND DR, YUMA, AZ 85364|3636 S 22ND DR, YUMA, AZ 85364|0
+7325 FRANKLIN BLVD, SACRAMENTO, CA 95823|73235 FRANKLIN BLVD, SACRAMENTO, CA 95823|0
+3660 MAIN ST, TUCSON, AZ 85721|3701 MAIN ST, TUCSON, AZ 85721|0
+3910 MAGNET RD, MALVERN, AR 72104|3910 MAGNET RD, STE 206 MALVERN, AR 72104|0
+15702 OBERLIN RD, RALEIGH, NC 27605|15702 OBERLIN RD FL 1, RALEIGH, NC 27605|1
+14425 ROOSOVELT AVE APT 322, LA JOLLA, CA 92092|14325 ROOSOVELT AVE, LA JOLLA, CA 92092|0
+14425 ROOSOVELT AVE APT 322, LA JOLLA, CA 92092|144-25 ROOSOVELT AVE APT 322, LA JOLLA, CA 92092|1
+14425 ROOSOVELT AVE, LA JOLLA, CA 92092|144-25A ROOSOVELT AVENUE, LA JOLLA, CA 92092|0
+
+Training samples:
+
+good but now instead of varying one part of the address like the building number vary two or more
+parts of the address where some parts will have differences like the building number may have one
+different character and other variations may be because STREET is spelled STR or include other common
+variations that don't actually change the meaning of the address. Remember to generate both
+positive and negative pairs that will fit the evaluation set. Generate 50 samples
+