Changeset 33813
- Timestamp:
- 2019-12-18T21:38:44+13:00 (4 years ago)
- Location:
- other-projects/maori-lang-detection
- Files:
-
- 4 added
- 6 deleted
- 14 edited
- 3 moved
Legend:
- Unmodified
- Added
- Removed
-
other-projects/maori-lang-detection/MoreReading/mongodb.txt
r33807 r33813 461 461 117496 462 462 463 # Find number of websites who have 1 or more pagesin Maori (a positive numPagesInMRI)463 # Find number of websites that have 1 or more pages detected as being in Maori (a positive numPagesInMRI) 464 464 db.getCollection('Websites').find({numPagesInMRI: { $gt: 0}}).count() 465 465 361 … … 488 488 # Number of sites with URLs containing /mi(/) 489 489 db.getCollection('Websites').find({urlContainsLangCodeInPath:true}).count() 490 153 490 X 153 491 # Number of sites with URLs containing /mi(/) OR http(s)://mi.* 492 db.getCollection('Websites').find({urlContainsLangCodeInPath:true}).count() 493 670 491 494 492 495 # Number of websites that are outside NZ that contain /mi(/) in any of its sub-urls 493 496 db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: {$ne : "NZ"} }).count() 494 147 495 496 # 5 sites with URLs containing /mi(/) that are in NZ 497 X 147 498 # Number of websites that are outside NZ that contain /mi(/) OR http(s)://mi.* in any of its sub-urls 499 db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: {$ne : "NZ"} }).count() 500 656 501 502 # 6 sites with URLs containing /mi(/) that are in NZ 497 503 db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: "NZ"}).count() 498 6 504 X 6 505 # 14 sites with URLs containing /mi(/) OR http(s)://mi.* that are in NZ 506 14 499 507 500 508 … … 609 617 610 618 WORKS: 611 // count of country codes for sites that have /mi(/) inpath619 // count of country codes for sites that have /mi(/) or http(s)://mi.* in URL path 612 620 613 621 db.Websites.aggregate([ … … 743 751 # These are the TENTATIVE NON-PRODUCT SITES 744 752 # Should be less than the point 4, but more than 1 to 3 753 745 754 db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{urlContainsLangCodeInPath: false}, {$and: [{urlContainsLangCodeInPath: true}, {geoLocationCountryCode: "NZ"}]}]}]}).count() 746 859 755 X 859 756 757 Now with http(s)://mi.* also excluded, the above query returns a count of: 758 389 759 760 761 BUT THIS IS THE CORRECT VERSION OF THE QUERY: 762 db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{geoLocationCountryCode: "NZ"}, {urlContainsLangCodeInPath: false}]}]}).count() 763 389 764 747 765 748 766 # 6. Now do the counts by country code of the above, by pasting the query of point 5 as the $match clause (i.e. without the .count() suffix) … … 913 931 { 914 932 $match: { 915 $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPath: {$ne: true}} ,]933 $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPath: {$ne: true}}] 916 934 } 917 935 }, … … 926 944 { $sort : { count : -1} } 927 945 ]); 946 947 948 We can knock of another 54 non-NZ sites with our new urlContainsLangCodeInPathPrefix field: 949 950 db.getCollection('Websites').find({urlContainsLangCodeInPathPrefix: true, geoLocationCountryCode: {$ne: "NZ"}, domain: {$not: /.nz$/}}).count() 951 54 952 953 954 SO, can repeat query with new field "urlContainsLangCodeInPathPrefix": 955 Number of sites containing >= 1 MRI sentences that are not from NZ or of .nz TLD and which don't contain "/mi(/)" or "http(s)://mi." in URL path: 956 db.getCollection('Websites').find({$and: [ 957 {numPagesContainingMRI: {$gt: 0}}, 958 {geoLocationCountryCode: {$ne: "NZ"}}, 959 {domain: {$not: /.nz$/}}, 960 {urlContainsLangCodeInPathSuffix: {$ne: true}}, 961 {urlContainsLangCodeInPathPrefix: {$ne: true}} 962 ]}).count() 963 964 651 965 966 967 REDO THE COUNT BY COUNTRY QUERY FOR THIS: 968 969 db.Websites.aggregate([ 970 { 971 $match: { 972 $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPathSuffix: {$ne: true}}, {urlContainsLangCodeInPathPrefix: {$ne: true}}] 973 } 974 }, 975 { $unwind: "$geoLocationCountryCode" }, 976 { 977 $group: { 978 _id: {$toLower: '$geoLocationCountryCode'}, 979 count: { $sum: 1 }, 980 domain: { $addToSet: '$domain' } 981 } 982 }, 983 { $sort : { count : -1} } 984 ]); 985 986 987 AFTER BUGFIX FOR miInURLPath being set at the correct now: 988 db.getCollection('Websites').find( 989 {$and: [ 990 {numPagesContainingMRI: {$gt: 0}}, 991 {geoLocationCountryCode: {$ne: "NZ"}}, 992 {domain: {$not: /.nz$/}}, 993 {urlContainsLangCodeInPath: {$ne: true}} 994 ]}).count() 995 996 220 997 998 db.Websites.aggregate([ 999 { 1000 $match: { 1001 $and: [ 1002 {numPagesContainingMRI: {$gt: 0}}, 1003 {geoLocationCountryCode: {$ne: "NZ"}}, 1004 {domain: {$not: /.nz$/}}, 1005 {urlContainsLangCodeInPath: {$ne: true}} 1006 ] 1007 } 1008 }, 1009 { $unwind: "$geoLocationCountryCode" }, 1010 { 1011 $group: { 1012 _id: {$toLower: '$geoLocationCountryCode'}, 1013 count: { $sum: 1 }, 1014 domain: { $addToSet: '$domain' } 1015 } 1016 }, 1017 { $sort : { count : -1} } 1018 ]); 1019 1020 Can inspect websites' pages for whether it's relevant/auto-translated as follows: 1021 db.getCollection('Webpages').find({URL:/svenkirsten.com/, mriSentenceCount: {$gt: 0}}) 1022 928 1023 929 1024 * CN: Only 1/113 sites from CN stood out as being of interest: http://kiwi2china.com/ … … 937 1032 http://splaf.free.fr/pfurb.html - Tahiti, French Polynesian, ... island names 938 1033 http://mi.fitnessrebates.com - Uses https://wordpress.org/plugins/weglot/ wordpress-compatible multilingual plugin, which ensures translated pages get indexed by google - exactly what we want to avoid 939 * 940 1034 * 1035 1036 1037 DE: 1038 http://etymologie.info/~e/n_/nz-___reg.html - placenames, not meaningful 1039 !! https://www.cartogiraffe.com/ - some genuine pages (Rarotongan), but one page is in Czech that had a single word misindentified as MRI 1040 ~ http://svenkirsten.com/ - one page mentions "tiki" but the rest is in English. The other is an (English) caption of "Book of Tiki A Maori Maiden" 1041 - herocity - autotranslated 1042 - weltderberge.de - 3 pages mention NZ mountains by name. 1043 ~ (arts.mythologica.fr) https://mythologica.fr/oceanie/texte/pantheon_polynesien.pdf - mentions certain Maori Gods and other Polynesian Gods by name. 1044 - https://traynews.com - nothing in MRI, misdetected 1045 ~ http://klaaskoehne.de/galleries/nzl-taranaki/index.html - mentions NZ mountain names 1046 - http://www.nierstrasz.org/deGrauwRegister.rtf - misdetected European (Dutch) names as MRI 1047 - https://afrikhepri.org/mi/ - autotranslated 1048 - https://www.tvteile.de - pure German pages, misdetected "Automatik" as a Maori language word 1049 - etoile-de-lune.net - 5 pages containing 1 sentence each but none with 2 sentences detected 1050 1051 - ITALY: 1052 http://oipaz.net/IMG/GalleriaAotearoa/ - NZ photogallery with each photo captioned by placename 1053 http://www.marcosanti.it/Reportage/Oceania_ph/Nuova_Zelanda/ - each photo captioned by NZ placename 1054 http://www.pegasoesmicamion.com/ - REO abbreviation misidentified, also in REO%20PUBLICIDAD.htm 1055 - AUSTRIA: 1056 petit-prince.at - Tahitian and Wayuu (Venezuela) translations of Le Petit Prince 1057 http://www.tmtmm.net/newzealand - photos from NZ named after places and people's names 1058 - ROMANIA: parohiauceadesus.ro - Sentences of single Romanian words misidentified. 1059 - ISRAEL: 1060 http://www.daat.ac.il - misidentification of "no." as MRI, and Hebrew words. 1061 https://www.hitiaotera.com/ - misidentifiation of Tahitian pages 1062 - RUSSIA: https://www.gismeteo.lv - misidentification of an email address 1063 - JAPAN: http://yutaka.it-n.jp - many pages of scientific names of (plants?) which are often misdetected as MRI 1064 !! Ireland, ie: https://coggle.it 1065 - IRAN: https://www.dideo.ir/v/yt/d6cgya0ze-E - video title from MaoriTelevision website 1066 ? - CZECH republic: https://www.fipojobs.com/new-zealand/jobs-work-p-1 - NZ job position title in MRI but rest in English 1067 - SPAIN: http://www.info-hoteles.com/nz/2/hotels_lake_rotoiti.asp - 2 uses of the same placename 1068 - SINGAPORE: https://omg-solutions.com - autotranslated 1069 - TURKEY: https://www.elitedeluxe.com.tr/mi/yatak-odasi-takimlari - autotranslated 1070 - MEXICO: http://www.gelbukh.com - misidentification, lines of just numbers or phrases like "Area Chair" in English and Russian CVs. 1071 - FINLAND: http://pertti.com - travelogue, placenames 1072 - SWITZERLAND CH: 1073 nicoledidi.ch - blog, placenames 1074 https://photos.axelebert.org - Tahiti related content 1075 - UNKNOWN: https://www.viveipcl.com: tours website, placenames mentioned 1076 #- EU: https://www.the-good-stuff-factory.be/mi/ : Autotranslated 1077 !! - BULGARIA: http://anitra.net/activism/humanrights/UDHR/rrt_print.htm (2 pages) 1078 1079 1080 TREATING AUSTRALIA AND GREAT BRITAIN MORE SPECIALLY (don't ignore /mi in URL, same as with NZ, but do leave out .nz TLDs since we cover them under NZ - TODO: later find country codes of all .nz TLDs): 1081 [nothing found under "UK", only under "GB"] 1082 1083 db.getCollection('Websites').find({ 1084 domain: {$not: /.nz$/}, 1085 numPagesContainingMRI: {$gt: 0}, 1086 $or: [{geoLocationCountryCode: "AU"}, {geoLocationCountryCode: "GB"}] 1087 }).count() 1088 11 1089 1090 db.Websites.aggregate([ 1091 { 1092 $match: { 1093 domain: {$not: /.nz$/}, 1094 numPagesContainingMRI: {$gt: 0}, 1095 $or: [{geoLocationCountryCode: "AU"}, {geoLocationCountryCode: "GB"}] 1096 } 1097 }, 1098 { $unwind: "$geoLocationCountryCode" }, 1099 { 1100 $group: { 1101 _id: {$toLower: '$geoLocationCountryCode'}, 1102 count: { $sum: 1 }, 1103 domain: { $addToSet: '$domain' } 1104 } 1105 }, 1106 { $sort : { count : -1} } 1107 ]); 1108 1109 AUSTRALIA: 1110 !! https://www.kiwiproperty.com - e.g. https://www.kiwiproperty.com/the-base/mi/he-paepaki/ has some actual MRI sentences. [Not autotranslated] 1111 ? http://fionajack.net - Wellington gallery of artist. A few occurrences of Kia Ora in a title like context (e.g. "Street Party Kia Ora! Kia Ora!") 1112 !! https://infogram.com/te-marautanga-o-aotearoa-moe-pld-allocations-2012-1go502ygvn562jd - site of individual pages (like docs.google.com). This one has a relevant infogram image. 1113 !! https://koreromaori.com - some actual Maori language sentences 1114 http://theunderwaterworld.com/Galleries/Roimata/roimata-frame.html - placenames 1115 1116 UK: 1117 http://www.wordsearchfun.com/200628_Word_Find_wordsearch.html - 2 word games with Maori words (one of them has 3 different views, e.g. print view) 1118 ? https://omniatlas.com/maps/australasia/18400206/plain/ - historical map with Maori iwi names over NZ map regions 1119 ? https://omniatlas.com/maps/australasia/18400206/ - historical map of Australia and NZ at the time of the Treaty of Waitangi, with events marked in English 1120 https://centrallanguageschool.com - AUTOTRANSLATED 1121 https://www.solasolv.com - Autotranslated product site 1122 http://mikestephens.co.uk/ - photo captions containing NZ placenames 1123 http://www.woolrych.org/nzholiday2004/ - photogallery captioned with NZ placenames 941 1124 -------------- 942 1125 … … 959 1142 960 1143 --------------------- 1144 1145 Count of websites that have at least 1 page containing at least one sentence detected as MRI 1146 AND which websites have mi in the URL path: 1147 1148 db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{urlContainsLangCodeInPath: true}]}).count() 1149 1150 491 1151 1152 1153 1154 # The websites that have some MRI detected AND which are either in NZ or with NZ TLD 1155 # or (so if they're from overseas) don't contain /mi or mi.* in URL path: 1156 1157 db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{geoLocationCountryCode: "NZ"}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}]}).count() 1158 396 1159 1160 Include Australia (to get the valid "kiwiproperty.com" website included in the result list): 1161 1162 db.getCollection('Websites').find({$and: [ 1163 {numPagesContainingMRI: {$gt: 0}}, 1164 {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]} 1165 ]}).count() 1166 1167 397 1168 1169 # aggregate results by a count of country codes 1170 db.Websites.aggregate([ 1171 { 1172 $match: { 1173 $and: [ 1174 {numPagesContainingMRI: {$gt: 0}}, 1175 {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]} 1176 ] 1177 } 1178 }, 1179 { $unwind: "$geoLocationCountryCode" }, 1180 { 1181 $group: { 1182 _id: {$toLower: '$geoLocationCountryCode'}, 1183 count: { $sum: 1 } 1184 } 1185 }, 1186 { $sort : { count : -1} } 1187 ]); 1188 1189 1190 # Just considering those sites outside NZ or not with .nz TLD: 1191 1192 db.getCollection('Websites').find({$and: [ 1193 {geoLocationCountryCode: {$ne: "NZ"}}, 1194 {domain: {$not: /\.nz/}}, 1195 {numPagesContainingMRI: {$gt: 0}}, 1196 {$or: [{geoLocationCountryCode: "AU"}, {urlContainsLangCodeInPath: false}]} 1197 ]}).count() 1198 1199 221 websites 1200 1201 # counts by country code excluding NZ related sites 1202 db.Websites.aggregate([ 1203 { 1204 $match: { 1205 $and: [ 1206 {geoLocationCountryCode: {$ne: "NZ"}}, 1207 {domain: {$not: /\.nz/}}, 1208 {numPagesContainingMRI: {$gt: 0}}, 1209 {$or: [{geoLocationCountryCode: "AU"}, {urlContainsLangCodeInPath: false}]} 1210 ] 1211 } 1212 }, 1213 { $unwind: "$geoLocationCountryCode" }, 1214 { 1215 $group: { 1216 _id: {$toLower: '$geoLocationCountryCode'}, 1217 count: { $sum: 1 }, 1218 domain: { $addToSet: '$domain' } 1219 } 1220 }, 1221 { $sort : { count : -1} } 1222 ]); 1223 1224 1225 # But to produce the tentative non-product sites, we also want the aggregate for all NZ sites (from NZ or with .nz tld): 1226 db.getCollection('Websites').find({$and: [ 1227 {numPagesContainingMRI: {$gt: 0}}, 1228 {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]} 1229 ]}).count() 1230 1231 176 1232 1233 (Total is 221+176 = 397, which adds up). 1234 1235 # Get the count (and domain listing) output put under a hardcoded _id of "nz": 1236 db.Websites.aggregate([ 1237 { 1238 $match: { 1239 $and: [ 1240 {numPagesContainingMRI: {$gt: 0}}, 1241 {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]} 1242 ] 1243 } 1244 }, 1245 { $unwind: "$geoLocationCountryCode" }, 1246 { 1247 $group: { 1248 _id: "nz", 1249 count: { $sum: 1 }, 1250 domain: { $addToSet: '$domain' } 1251 } 1252 }, 1253 { $sort : { count : -1} } 1254 ]); -
other-projects/maori-lang-detection/mongodb-data/counts_allCrawledSites.json
r33811 r33813 1 /* 2 Num websites: 3 db.getCollection('Websites').find({}).count() 4 = 1445 5 6 Num webpages 7 db.getCollection('Webpages').find({}).count() 8 = 117496 9 10 Count of country codes for all sites: 11 db.Websites.aggregate([ 12 13 { $unwind: "$geoLocationCountryCode" }, 14 { 15 $group: { 16 _id: "$geoLocationCountryCode", 17 count: { $sum: 1 } 18 } 19 }, 20 { $sort : { count : -1} } 21 ]); 22 */ 23 1 24 /* 1 */ 2 25 { 3 26 "_id" : "US", 4 "count" : 6 86.027 "count" : 696.0 5 28 } 6 29 … … 8 31 { 9 32 "_id" : "UNKNOWN", 10 "count" : 17 1.033 "count" : 173.0 11 34 } 12 35 13 36 /* 3 */ 14 37 { 38 "_id" : "CN", 39 "count" : 125.0 40 } 41 42 /* 4 */ 43 { 15 44 "_id" : "NZ", 16 "count" : 128.0 17 } 18 19 /* 4 */ 20 { 21 "_id" : "CN", 22 "count" : 124.0 45 "count" : 115.0 23 46 } 24 47 … … 44 67 { 45 68 "_id" : "NL", 46 "count" : 3 1.069 "count" : 32.0 47 70 } 48 71 … … 50 73 { 51 74 "_id" : "CA", 52 "count" : 21.075 "count" : 19.0 53 76 } 54 77 … … 61 84 /* 11 */ 62 85 { 86 "_id" : "DK", 87 "count" : 10.0 88 } 89 90 /* 12 */ 91 { 63 92 "_id" : "JP", 64 93 "count" : 10.0 65 94 } 66 95 67 /* 12 */68 {69 "_id" : "DK",70 "count" : 10.071 }72 73 96 /* 13 */ 74 97 { … … 79 102 /* 14 */ 80 103 { 104 "_id" : "RU", 105 "count" : 7.0 106 } 107 108 /* 15 */ 109 { 110 "_id" : "HK", 111 "count" : 7.0 112 } 113 114 /* 16 */ 115 { 81 116 "_id" : "CZ", 82 117 "count" : 7.0 83 118 } 84 119 85 /* 15 */86 {87 "_id" : "RU",88 "count" : 7.089 }90 91 /* 16 */92 {93 "_id" : "HK",94 "count" : 7.095 }96 97 120 /* 17 */ 98 {99 "_id" : "IT",100 "count" : 5.0101 }102 103 /* 18 */104 {105 "_id" : "SE",106 "count" : 5.0107 }108 109 /* 19 */110 121 { 111 122 "_id" : "UA", … … 113 124 } 114 125 115 /* 20*/126 /* 18 */ 116 127 { 117 128 "_id" : "IE", … … 119 130 } 120 131 132 /* 19 */ 133 { 134 "_id" : "SE", 135 "count" : 4.0 136 } 137 138 /* 20 */ 139 { 140 "_id" : "IT", 141 "count" : 4.0 142 } 143 121 144 /* 21 */ 122 145 { 146 "_id" : "RO", 147 "count" : 3.0 148 } 149 150 /* 22 */ 151 { 152 "_id" : "SG", 153 "count" : 3.0 154 } 155 156 /* 23 */ 157 { 158 "_id" : "AT", 159 "count" : 3.0 160 } 161 162 /* 24 */ 163 { 164 "_id" : "CH", 165 "count" : 3.0 166 } 167 168 /* 25 */ 169 { 170 "_id" : "IL", 171 "count" : 3.0 172 } 173 174 /* 26 */ 175 { 123 176 "_id" : "IN", 124 177 "count" : 3.0 125 178 } 126 179 127 /* 22 */ 128 { 129 "_id" : "CH", 130 "count" : 3.0 131 } 132 133 /* 23 */ 134 { 135 "_id" : "IL", 136 "count" : 3.0 137 } 138 139 /* 24 */ 140 { 141 "_id" : "AT", 142 "count" : 3.0 143 } 144 145 /* 25 */ 146 { 147 "_id" : "RO", 148 "count" : 2.0 149 } 150 151 /* 26 */ 180 /* 27 */ 181 { 182 "_id" : "PL", 183 "count" : 2.0 184 } 185 186 /* 28 */ 187 { 188 "_id" : "ZA", 189 "count" : 2.0 190 } 191 192 /* 29 */ 193 { 194 "_id" : "VG", 195 "count" : 2.0 196 } 197 198 /* 30 */ 152 199 { 153 200 "_id" : "CK", … … 155 202 } 156 203 157 /* 27*/158 { 159 "_id" : " VG",160 "count" : 2.0161 } 162 163 /* 28*/164 { 165 "_id" : " ZA",166 "count" : 2.0167 } 168 169 /* 29*/170 { 171 "_id" : " PL",172 "count" : 2.0173 } 174 175 /* 3 0*/204 /* 31 */ 205 { 206 "_id" : "BG", 207 "count" : 1.0 208 } 209 210 /* 32 */ 211 { 212 "_id" : "PF", 213 "count" : 1.0 214 } 215 216 /* 33 */ 217 { 218 "_id" : "IO", 219 "count" : 1.0 220 } 221 222 /* 34 */ 176 223 { 177 224 "_id" : "GR", … … 179 226 } 180 227 181 /* 31 */ 228 /* 35 */ 229 { 230 "_id" : "MX", 231 "count" : 1.0 232 } 233 234 /* 36 */ 235 { 236 "_id" : "TR", 237 "count" : 1.0 238 } 239 240 /* 37 */ 241 { 242 "_id" : "ME", 243 "count" : 1.0 244 } 245 246 /* 38 */ 182 247 { 183 248 "_id" : "FI", … … 185 250 } 186 251 187 /* 32 */ 188 { 189 "_id" : "ME", 190 "count" : 1.0 191 } 192 193 /* 33 */ 252 /* 39 */ 253 { 254 "_id" : "EU", 255 "count" : 1.0 256 } 257 258 /* 40 */ 259 { 260 "_id" : "IR", 261 "count" : 1.0 262 } 263 264 /* 41 */ 194 265 { 195 266 "_id" : "PT", 196 267 "count" : 1.0 197 268 } 198 199 /* 34 */200 {201 "_id" : "IR",202 "count" : 1.0203 }204 205 /* 35 */206 {207 "_id" : "EU",208 "count" : 1.0209 }210 211 /* 36 */212 {213 "_id" : "TR",214 "count" : 1.0215 }216 217 /* 37 */218 {219 "_id" : "MX",220 "count" : 1.0221 }222 223 /* 38 */224 {225 "_id" : "IO",226 "count" : 1.0227 }228 229 /* 39 */230 {231 "_id" : "PF",232 "count" : 1.0233 }234 235 /* 40 */236 {237 "_id" : "BG",238 "count" : 1.0239 }240 241 /* 41 */242 {243 "_id" : "SG",244 "count" : 1.0245 } -
other-projects/maori-lang-detection/mongodb-data/counts_miInUrlPath.json
r33797 r33813 2 2 { 3 3 "_id" : "us", 4 "count" : 93.04 "count" : 408.0 5 5 } 6 6 … … 8 8 { 9 9 "_id" : "cn", 10 "count" : 123.0 11 } 12 13 /* 3 */ 14 { 15 "_id" : "fr", 16 "count" : 34.0 17 } 18 19 /* 4 */ 20 { 21 "_id" : "unknown", 22 "count" : 19.0 23 } 24 25 /* 5 */ 26 { 27 "_id" : "nz", 28 "count" : 14.0 29 } 30 31 /* 6 */ 32 { 33 "_id" : "de", 34 "count" : 12.0 35 } 36 37 /* 7 */ 38 { 39 "_id" : "nl", 40 "count" : 8.0 41 } 42 43 /* 8 */ 44 { 45 "_id" : "hk", 10 46 "count" : 7.0 11 47 } 12 48 13 /* 3*/49 /* 9 */ 14 50 { 15 51 "_id" : "au", … … 17 53 } 18 54 19 /* 4*/55 /* 10 */ 20 56 { 21 "_id" : "de", 57 "_id" : "ca", 58 "count" : 7.0 59 } 60 61 /* 11 */ 62 { 63 "_id" : "gb", 22 64 "count" : 5.0 23 65 } 24 66 25 /* 5*/67 /* 12 */ 26 68 { 27 "_id" : " hk",69 "_id" : "jp", 28 70 "count" : 5.0 29 71 } 30 72 31 /* 6*/73 /* 13 */ 32 74 { 33 "_id" : " nz",34 "count" : 5.075 "_id" : "ua", 76 "count" : 4.0 35 77 } 36 78 37 /* 7*/79 /* 14 */ 38 80 { 39 81 "_id" : "ru", … … 41 83 } 42 84 43 /* 8*/85 /* 15 */ 44 86 { 45 "_id" : " gb",46 "count" : 3.087 "_id" : "vg", 88 "count" : 2.0 47 89 } 48 90 49 /* 9*/91 /* 16 */ 50 92 { 51 "_id" : " jp",52 "count" : 3.093 "_id" : "sg", 94 "count" : 2.0 53 95 } 54 96 55 /* 1 0*/97 /* 17 */ 56 98 { 57 99 "_id" : "dk", … … 59 101 } 60 102 61 /* 1 1*/103 /* 18 */ 62 104 { 63 "_id" : "ca", 64 "count" : 2.0 65 } 66 67 /* 12 */ 68 { 69 "_id" : "fr", 70 "count" : 2.0 71 } 72 73 /* 13 */ 74 { 75 "_id" : "vg", 76 "count" : 2.0 77 } 78 79 /* 14 */ 80 { 81 "_id" : "nl", 105 "_id" : "se", 82 106 "count" : 1.0 83 107 } 84 108 85 /* 1 5*/109 /* 19 */ 86 110 { 87 "_id" : " ch",111 "_id" : "ie", 88 112 "count" : 1.0 89 113 } 90 114 91 /* 16 */ 115 /* 20 */ 116 { 117 "_id" : "es", 118 "count" : 1.0 119 } 120 121 /* 21 */ 122 { 123 "_id" : "tr", 124 "count" : 1.0 125 } 126 127 /* 22 */ 92 128 { 93 129 "_id" : "za", … … 95 131 } 96 132 97 /* 17*/133 /* 23 */ 98 134 { 99 135 "_id" : "cz", … … 101 137 } 102 138 103 /* 18*/139 /* 24 */ 104 140 { 105 "_id" : " kr",141 "_id" : "eu", 106 142 "count" : 1.0 107 143 } 108 109 /* 19 */110 {111 "_id" : "ua",112 "count" : 1.0113 } -
other-projects/maori-lang-detection/mongodb-data/counts_noMiInUrlPath.json
r33798 r33813 2 2 { 3 3 "_id" : "us", 4 "count" : 612.04 "count" : 288.0 5 5 } 6 6 … … 8 8 { 9 9 "_id" : "unknown", 10 "count" : 15 0.010 "count" : 154.0 11 11 } 12 12 … … 14 14 { 15 15 "_id" : "nz", 16 "count" : 1 12.016 "count" : 101.0 17 17 } 18 18 19 19 /* 4 */ 20 20 { 21 "_id" : " cn",22 "count" : 106.021 "_id" : "de", 22 "count" : 40.0 23 23 } 24 24 25 25 /* 5 */ 26 26 { 27 "_id" : "au", 28 "count" : 36.0 29 } 30 31 /* 6 */ 32 { 27 33 "_id" : "fr", 28 "count" : 69.0 29 } 30 31 /* 6 */ 32 { 33 "_id" : "de", 34 "count" : 46.0 34 "count" : 35.0 35 35 } 36 36 37 37 /* 7 */ 38 38 { 39 "_id" : " au",40 "count" : 35.039 "_id" : "nl", 40 "count" : 24.0 41 41 } 42 42 43 43 /* 8 */ 44 44 { 45 "_id" : " nl",46 "count" : 30.045 "_id" : "gb", 46 "count" : 13.0 47 47 } 48 48 … … 50 50 { 51 51 "_id" : "ca", 52 "count" : 21.052 "count" : 12.0 53 53 } 54 54 55 55 /* 10 */ 56 {57 "_id" : "gb",58 "count" : 15.059 }60 61 /* 11 */62 {63 "_id" : "es",64 "count" : 8.065 }66 67 /* 12 */68 56 { 69 57 "_id" : "dk", … … 71 59 } 72 60 61 /* 11 */ 62 { 63 "_id" : "es", 64 "count" : 7.0 65 } 66 67 /* 12 */ 68 { 69 "_id" : "cz", 70 "count" : 6.0 71 } 72 73 73 /* 13 */ 74 74 { 75 "_id" : " cz",76 "count" : 7.075 "_id" : "jp", 76 "count" : 5.0 77 77 } 78 78 79 79 /* 14 */ 80 {81 "_id" : "jp",82 "count" : 7.083 }84 85 /* 15 */86 80 { 87 81 "_id" : "it", … … 89 83 } 90 84 85 /* 15 */ 86 { 87 "_id" : "in", 88 "count" : 3.0 89 } 90 91 91 /* 16 */ 92 92 { 93 "_id" : "i n",93 "_id" : "ie", 94 94 "count" : 3.0 95 95 } … … 97 97 /* 17 */ 98 98 { 99 "_id" : " ua",99 "_id" : "at", 100 100 "count" : 3.0 101 101 } … … 103 103 /* 18 */ 104 104 { 105 "_id" : " at",105 "_id" : "ro", 106 106 "count" : 3.0 107 107 } … … 109 109 /* 19 */ 110 110 { 111 "_id" : " ie",111 "_id" : "ru", 112 112 "count" : 3.0 113 113 } … … 115 115 /* 20 */ 116 116 { 117 "_id" : "se", 118 "count" : 3.0 119 } 120 121 /* 21 */ 122 { 117 123 "_id" : "ch", 118 124 "count" : 3.0 119 125 } 120 126 121 /* 21 */122 {123 "_id" : "se",124 "count" : 3.0125 }126 127 127 /* 22 */ 128 128 { 129 "_id" : " ru",129 "_id" : "il", 130 130 "count" : 3.0 131 131 } … … 133 133 /* 23 */ 134 134 { 135 "_id" : " il",136 "count" : 3.0135 "_id" : "pl", 136 "count" : 2.0 137 137 } 138 138 … … 145 145 /* 25 */ 146 146 { 147 "_id" : " pl",147 "_id" : "cn", 148 148 "count" : 2.0 149 149 } … … 151 151 /* 26 */ 152 152 { 153 "_id" : " ro",154 "count" : 2.0153 "_id" : "sg", 154 "count" : 1.0 155 155 } 156 156 157 157 /* 27 */ 158 158 { 159 "_id" : " sg",159 "_id" : "mx", 160 160 "count" : 1.0 161 161 } … … 163 163 /* 28 */ 164 164 { 165 "_id" : " mx",165 "_id" : "io", 166 166 "count" : 1.0 167 167 } … … 169 169 /* 29 */ 170 170 { 171 "_id" : "za", 172 "count" : 1.0 173 } 174 175 /* 30 */ 176 { 171 177 "_id" : "ir", 172 178 "count" : 1.0 173 179 } 174 180 175 /* 30 */176 {177 "_id" : "eu",178 "count" : 1.0179 }180 181 181 /* 31 */ 182 182 { 183 "_id" : "ua", 184 "count" : 1.0 185 } 186 187 /* 32 */ 188 { 183 189 "_id" : "bg", 184 190 "count" : 1.0 185 191 } 186 192 187 /* 3 2*/193 /* 33 */ 188 194 { 189 195 "_id" : "gr", … … 191 197 } 192 198 193 /* 33 */ 199 /* 34 */ 200 { 201 "_id" : "fi", 202 "count" : 1.0 203 } 204 205 /* 35 */ 206 { 207 "_id" : "me", 208 "count" : 1.0 209 } 210 211 /* 36 */ 212 { 213 "_id" : "pf", 214 "count" : 1.0 215 } 216 217 /* 37 */ 194 218 { 195 219 "_id" : "pt", … … 197 221 } 198 222 199 /* 34 */200 {201 "_id" : "fi",202 "count" : 1.0203 }204 205 /* 35 */206 {207 "_id" : "pf",208 "count" : 1.0209 }210 -
other-projects/maori-lang-detection/mongodb-data/counts_sitesWithPagesContainingMRI.json
r33803 r33813 1 /* 2 Number of sites containing at least one sentence for which OpenNLP detected the best language = MRI 3 4 db.getCollection('Websites').find({numPagesContainingMRI: {$gt: 0}}).count() 5 868 6 7 8 Obviously, the following should be equal to that: 9 10 db.getCollection('Websites').find({ $or: [ { numPagesInMRI: { $gt: 0 } }, { numPagesContainingMRI: {$gt: 0} } ] } ).count() 11 868 12 13 14 Count of country codes for sites that have at least one page containing at least one sentence detected as MRI by OpenNLP: 15 16 db.Websites.aggregate([ 17 { 18 $match: { 19 numPagesContainingMRI: {$gt: 0} 20 } 21 }, 22 { $unwind: "$geoLocationCountryCode" }, 23 { 24 $group: { 25 _id: {$toLower: '$geoLocationCountryCode'}, 26 count: { $sum: 1 } 27 } 28 }, 29 { $sort : { count : -1} } 30 ]); 31 32 */ 33 1 34 /* 1 */ 2 35 { 3 36 "_id" : "us", 4 "count" : 4 79.037 "count" : 486.0 5 38 } 6 39 … … 14 47 { 15 48 "_id" : "nz", 16 "count" : 98.049 "count" : 89.0 17 50 } 18 51 … … 38 71 { 39 72 "_id" : "au", 40 "count" : 2 0.073 "count" : 21.0 41 74 } 42 75 … … 44 77 { 45 78 "_id" : "ca", 46 "count" : 1 3.079 "count" : 12.0 47 80 } 48 81 … … 55 88 /* 10 */ 56 89 { 90 "_id" : "es", 91 "count" : 7.0 92 } 93 94 /* 11 */ 95 { 57 96 "_id" : "gb", 58 97 "count" : 7.0 59 98 } 60 99 61 /* 11 */62 {63 "_id" : "es",64 "count" : 7.065 }66 67 100 /* 12 */ 68 101 { … … 73 106 /* 13 */ 74 107 { 108 "_id" : "unknown", 109 "count" : 3.0 110 } 111 112 /* 14 */ 113 { 114 "_id" : "at", 115 "count" : 3.0 116 } 117 118 /* 15 */ 119 { 120 "_id" : "ro", 121 "count" : 3.0 122 } 123 124 /* 16 */ 125 { 75 126 "_id" : "it", 76 127 "count" : 3.0 77 128 } 78 129 79 /* 14 */ 80 { 81 "_id" : "at", 82 "count" : 3.0 83 } 84 85 /* 15 */ 130 /* 17 */ 131 { 132 "_id" : "sg", 133 "count" : 2.0 134 } 135 136 /* 18 */ 137 { 138 "_id" : "jp", 139 "count" : 2.0 140 } 141 142 /* 19 */ 143 { 144 "_id" : "ie", 145 "count" : 2.0 146 } 147 148 /* 20 */ 149 { 150 "_id" : "hk", 151 "count" : 2.0 152 } 153 154 /* 21 */ 155 { 156 "_id" : "ua", 157 "count" : 2.0 158 } 159 160 /* 22 */ 161 { 162 "_id" : "ru", 163 "count" : 2.0 164 } 165 166 /* 23 */ 167 { 168 "_id" : "ch", 169 "count" : 2.0 170 } 171 172 /* 24 */ 86 173 { 87 174 "_id" : "il", … … 89 176 } 90 177 91 /* 16 */ 92 { 93 "_id" : "ch", 94 "count" : 2.0 95 } 96 97 /* 17 */ 98 { 99 "_id" : "ro", 100 "count" : 2.0 101 } 102 103 /* 18 */ 104 { 105 "_id" : "ru", 106 "count" : 2.0 107 } 108 109 /* 19 */ 110 { 111 "_id" : "ie", 112 "count" : 2.0 113 } 114 115 /* 20 */ 116 { 117 "_id" : "jp", 118 "count" : 2.0 119 } 120 121 /* 21 */ 122 { 123 "_id" : "hk", 124 "count" : 2.0 125 } 126 127 /* 22 */ 128 { 129 "_id" : "ua", 130 "count" : 2.0 131 } 132 133 /* 23 */ 134 { 135 "_id" : "unknown", 136 "count" : 2.0 137 } 138 139 /* 24 */ 178 /* 25 */ 179 { 180 "_id" : "tr", 181 "count" : 1.0 182 } 183 184 /* 26 */ 140 185 { 141 186 "_id" : "mx", … … 143 188 } 144 189 145 /* 25 */ 190 /* 27 */ 191 { 192 "_id" : "ir", 193 "count" : 1.0 194 } 195 196 /* 28 */ 197 { 198 "_id" : "gr", 199 "count" : 1.0 200 } 201 202 /* 29 */ 203 { 204 "_id" : "bg", 205 "count" : 1.0 206 } 207 208 /* 30 */ 209 { 210 "_id" : "eu", 211 "count" : 1.0 212 } 213 214 /* 31 */ 146 215 { 147 216 "_id" : "fi", 148 217 "count" : 1.0 149 218 } 150 151 /* 26 */152 {153 "_id" : "se",154 "count" : 1.0155 }156 157 /* 27 */158 {159 "_id" : "gr",160 "count" : 1.0161 }162 163 /* 28 */164 {165 "_id" : "eu",166 "count" : 1.0167 }168 169 /* 29 */170 {171 "_id" : "bg",172 "count" : 1.0173 }174 175 /* 30 */176 {177 "_id" : "ir",178 "count" : 1.0179 }180 181 /* 31 */182 {183 "_id" : "tr",184 "count" : 1.0185 }186 187 /* 32 */188 {189 "_id" : "sg",190 "count" : 1.0191 } -
other-projects/maori-lang-detection/mongodb-data/counts_sitesWithPagesInMRI.json
r33805 r33813 1 /* 2 Number of websites that have 1 or more pages detected as being in Maori, a positive numPagesInMRI. 3 4 db.getCollection('Websites').find({numPagesInMRI: { $gt: 0}}).count() 5 = 361 6 7 Count of country codes for sites that have at least one page detected as MRI: 8 9 db.Websites.aggregate([ 10 { 11 $match: { 12 numPagesInMRI: {$gt: 0} 13 } 14 }, 15 { $unwind: "$geoLocationCountryCode" }, 16 { 17 $group: { 18 _id: {$toLower: '$geoLocationCountryCode'}, 19 count: { $sum: 1 } 20 } 21 }, 22 { $sort : { count : -1} } 23 ]); 24 */ 25 1 26 /* 1 */ 2 27 { 3 28 "_id" : "us", 4 "count" : 20 7.029 "count" : 206.0 5 30 } 6 31 … … 49 74 /* 9 */ 50 75 { 51 "_id" : " ca",52 "count" : 4.076 "_id" : "gb", 77 "count" : 3.0 53 78 } 54 79 55 80 /* 10 */ 56 81 { 57 "_id" : " gb",82 "_id" : "ca", 58 83 "count" : 3.0 59 84 } … … 61 86 /* 11 */ 62 87 { 63 "_id" : " ie",88 "_id" : "ua", 64 89 "count" : 2.0 65 90 } … … 67 92 /* 12 */ 68 93 { 69 "_id" : " ua",94 "_id" : "ie", 70 95 "count" : 2.0 71 96 } … … 80 105 { 81 106 "_id" : "sg", 107 "count" : 2.0 108 } 109 110 /* 15 */ 111 { 112 "_id" : "unknown", 113 "count" : 2.0 114 } 115 116 /* 16 */ 117 { 118 "_id" : "gr", 82 119 "count" : 1.0 83 120 } 84 121 85 /* 15 */ 122 /* 17 */ 123 { 124 "_id" : "hk", 125 "count" : 1.0 126 } 127 128 /* 18 */ 129 { 130 "_id" : "jp", 131 "count" : 1.0 132 } 133 134 /* 19 */ 135 { 136 "_id" : "bg", 137 "count" : 1.0 138 } 139 140 /* 20 */ 86 141 { 87 142 "_id" : "mx", … … 89 144 } 90 145 91 /* 16*/146 /* 21 */ 92 147 { 93 "_id" : " hk",148 "_id" : "ro", 94 149 "count" : 1.0 95 150 } 96 97 /* 17 */98 {99 "_id" : "jp",100 "count" : 1.0101 }102 103 /* 18 */104 {105 "_id" : "se",106 "count" : 1.0107 }108 109 /* 19 */110 {111 "_id" : "gr",112 "count" : 1.0113 }114 115 /* 20 */116 {117 "_id" : "unknown",118 "count" : 1.0119 }120 121 /* 21 */122 {123 "_id" : "bg",124 "count" : 1.0125 } -
other-projects/maori-lang-detection/mongodb-data/counts_tentativeNonProductSites.json
r33806 r33813 1 /* 2 3 The websites that have some MRI detected AND which are either in NZ or with NZ TLD 4 or (so if they're from overseas) don't contain /mi or mi.* in URL path. 5 We'll include Australia, to get the valid "kiwiproperty.com" website, 6 otherwise the sole exception, included in the result list. 7 8 9 db.getCollection('Websites').find({$and: [ 10 {numPagesContainingMRI: {$gt: 0}}, 11 {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]} 12 ]}).count() 13 14 397 15 16 Aggregate results by a count of country codes: 17 18 db.Websites.aggregate([ 19 { 20 $match: { 21 $and: [ 22 {numPagesContainingMRI: {$gt: 0}}, 23 {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]} 24 ] 25 } 26 }, 27 { $unwind: "$geoLocationCountryCode" }, 28 { 29 $group: { 30 _id: {$toLower: '$geoLocationCountryCode'}, 31 count: { $sum: 1 } 32 } 33 }, 34 { $sort : { count : -1} } 35 ]); 36 37 */ 38 1 39 /* 1 */ 2 40 { 3 41 "_id" : "us", 4 "count" : 475.042 "count" : 181.0 5 43 } 6 44 7 45 /* 2 */ 8 46 { 9 "_id" : " cn",10 "count" : 114.047 "_id" : "nz", 48 "count" : 89.0 11 49 } 12 50 13 51 /* 3 */ 14 52 { 15 "_id" : " nz",16 "count" : 98.053 "_id" : "au", 54 "count" : 21.0 17 55 } 18 56 19 57 /* 4 */ 20 58 { 59 "_id" : "de", 60 "count" : 19.0 61 } 62 63 /* 5 */ 64 { 21 65 "_id" : "fr", 22 "count" : 36.0 23 } 24 25 /* 5 */ 26 { 27 "_id" : "de", 28 "count" : 26.0 66 "count" : 17.0 29 67 } 30 68 … … 32 70 { 33 71 "_id" : "nl", 34 "count" : 22.072 "count" : 16.0 35 73 } 36 74 37 75 /* 7 */ 38 {39 "_id" : "au",40 "count" : 17.041 }42 43 /* 8 */44 {45 "_id" : "ca",46 "count" : 13.047 }48 49 /* 9 */50 76 { 51 77 "_id" : "dk", … … 53 79 } 54 80 81 /* 8 */ 82 { 83 "_id" : "ca", 84 "count" : 7.0 85 } 86 87 /* 9 */ 88 { 89 "_id" : "es", 90 "count" : 6.0 91 } 92 55 93 /* 10 */ 56 94 { 57 "_id" : " es",58 "count" : 7.095 "_id" : "gb", 96 "count" : 5.0 59 97 } 60 98 61 99 /* 11 */ 62 {63 "_id" : "gb",64 "count" : 7.065 }66 67 /* 12 */68 100 { 69 101 "_id" : "cz", … … 71 103 } 72 104 105 /* 12 */ 106 { 107 "_id" : "at", 108 "count" : 3.0 109 } 110 73 111 /* 13 */ 74 112 { … … 79 117 /* 14 */ 80 118 { 81 "_id" : " at",119 "_id" : "ro", 82 120 "count" : 3.0 83 121 } 84 122 85 123 /* 15 */ 124 { 125 "_id" : "il", 126 "count" : 2.0 127 } 128 129 /* 16 */ 86 130 { 87 131 "_id" : "ch", … … 89 133 } 90 134 91 /* 16 */92 {93 "_id" : "ro",94 "count" : 2.095 }96 97 135 /* 17 */ 98 136 { 99 "_id" : " il",100 "count" : 2.0137 "_id" : "bg", 138 "count" : 1.0 101 139 } 102 140 103 141 /* 18 */ 104 142 { 143 "_id" : "sg", 144 "count" : 1.0 145 } 146 147 /* 19 */ 148 { 149 "_id" : "mx", 150 "count" : 1.0 151 } 152 153 /* 20 */ 154 { 155 "_id" : "ir", 156 "count" : 1.0 157 } 158 159 /* 21 */ 160 { 161 "_id" : "cn", 162 "count" : 1.0 163 } 164 165 /* 22 */ 166 { 167 "_id" : "ie", 168 "count" : 1.0 169 } 170 171 /* 23 */ 172 { 173 "_id" : "jp", 174 "count" : 1.0 175 } 176 177 /* 24 */ 178 { 179 "_id" : "fi", 180 "count" : 1.0 181 } 182 183 /* 25 */ 184 { 185 "_id" : "gr", 186 "count" : 1.0 187 } 188 189 /* 26 */ 190 { 191 "_id" : "ru", 192 "count" : 1.0 193 } 194 195 /* 27 */ 196 { 105 197 "_id" : "unknown", 106 "count" : 2.0 107 } 108 109 /* 19 */ 110 { 111 "_id" : "hk", 112 "count" : 2.0 113 } 114 115 /* 20 */ 116 { 117 "_id" : "jp", 118 "count" : 2.0 119 } 120 121 /* 21 */ 122 { 123 "_id" : "ie", 124 "count" : 2.0 125 } 126 127 /* 22 */ 128 { 129 "_id" : "ua", 130 "count" : 2.0 131 } 132 133 /* 23 */ 134 { 135 "_id" : "se", 136 "count" : 1.0 137 } 138 139 /* 24 */ 140 { 141 "_id" : "gr", 142 "count" : 1.0 143 } 144 145 /* 25 */ 146 { 147 "_id" : "ru", 148 "count" : 1.0 149 } 150 151 /* 26 */ 152 { 153 "_id" : "eu", 154 "count" : 1.0 155 } 156 157 /* 27 */ 158 { 159 "_id" : "bg", 160 "count" : 1.0 161 } 162 163 /* 28 */ 164 { 165 "_id" : "fi", 166 "count" : 1.0 167 } 168 169 /* 29 */ 170 { 171 "_id" : "sg", 172 "count" : 1.0 173 } 174 175 /* 30 */ 176 { 177 "_id" : "tr", 178 "count" : 1.0 179 } 180 181 /* 31 */ 182 { 183 "_id" : "mx", 184 "count" : 1.0 185 } 186 187 /* 32 */ 188 { 189 "_id" : "ir", 190 "count" : 1.0 191 } 198 "count" : 1.0 199 } 200 -
other-projects/maori-lang-detection/mongodb-data/geojson-features_allCrawledSites.json
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other-projects/maori-lang-detection/mongodb-data/geojson-features_tentativeNonProductSites.json
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other-projects/maori-lang-detection/mongodb-data/multipoint_allCrawledSites.json
r33802 r33813 3 3 [-95.712891,37.09024], 4 4 [57.0,-70.0], 5 [104.195397,35.86166], 5 6 [174.885971,-40.900557], 6 [104.195397,35.86166],7 7 [2.213749,46.227638], 8 8 [10.451526,51.165691], … … 11 11 [-106.346771,56.130366], 12 12 [-3.435973,55.378051], 13 [9.501785,56.26392], 13 14 [138.252924,36.204824], 14 [9.501785,56.26392],15 15 [-3.74922,40.463667], 16 [15.472962,49.817492],17 16 [105.318756,61.52401], 18 17 [114.109497,22.396428], 19 [12.56738,41.87194], 20 [18.643501,60.128161], 18 [15.472962,49.817492], 21 19 [31.16558,48.379433], 22 20 [-8.24389,53.41291], 23 [78.96288,20.593684], 21 [18.643501,60.128161], 22 [12.56738,41.87194], 23 [24.96676,45.943161], 24 [103.819836,1.352083], 25 [14.550072,47.516231], 24 26 [8.227512,46.818188], 25 27 [34.851612,31.046051], 26 [14.550072,47.516231], 27 [24.96676,45.943161], 28 [78.96288,20.593684], 29 [19.145136,51.919438], 30 [22.937506,-30.559482], 31 [-64.639968,18.420695], 28 32 [-159.777671,-21.236736], 29 [ -64.639968,18.420695],30 [ 22.937506,-30.559482],31 [ 19.145136,51.919438],33 [25.48583,42.733883], 34 [-149.406843,-17.679742], 35 [71.876519,-6.343194], 32 36 [21.824312,39.074208], 37 [-102.552784,23.634501], 38 [35.243322,38.963745], 39 [19.37439,42.708678], 33 40 [25.748151,61.92411], 34 [19.37439,42.708678], 35 [-8.224454,39.399872], 41 [-20.0,50.0], 36 42 [53.688046,32.427908], 37 [-20.0,50.0], 38 [35.243322,38.963745], 39 [-102.552784,23.634501], 40 [71.876519,-6.343194], 41 [-149.406843,-17.679742], 42 [25.48583,42.733883], 43 [103.819836,1.352083] 43 [-8.224454,39.399872] 44 44 ]} -
other-projects/maori-lang-detection/mongodb-data/multipoint_sitesWithPagesContainingMRI.json
r33803 r33813 10 10 [-106.346771,56.130366], 11 11 [9.501785,56.26392], 12 [-3.74922,40.463667], 12 13 [-3.435973,55.378051], 13 [-3.74922,40.463667],14 14 [15.472962,49.817492], 15 [57.0,-70.0], 16 [14.550072,47.516231], 17 [24.96676,45.943161], 15 18 [12.56738,41.87194], 16 [14.550072,47.516231], 17 [34.851612,31.046051], 18 [8.227512,46.818188], 19 [24.96676,45.943161], 20 [105.318756,61.52401], 19 [103.819836,1.352083], 20 [138.252924,36.204824], 21 21 [-8.24389,53.41291], 22 [138.252924,36.204824],23 22 [114.109497,22.396428], 24 23 [31.16558,48.379433], 25 [57.0,-70.0], 24 [105.318756,61.52401], 25 [8.227512,46.818188], 26 [34.851612,31.046051], 27 [35.243322,38.963745], 26 28 [-102.552784,23.634501], 27 [25.748151,61.92411], 28 [18.643501,60.128161], 29 [53.688046,32.427908], 29 30 [21.824312,39.074208], 31 [25.48583,42.733883], 30 32 [-20.0,50.0], 31 [25.48583,42.733883], 32 [53.688046,32.427908], 33 [35.243322,38.963745], 34 [103.819836,1.352083] 33 [25.748151,61.92411] 35 34 ]} -
other-projects/maori-lang-detection/mongodb-data/multipoint_sitesWithPagesInMRI.json
r33805 r33813 9 9 [10.451526,51.165691], 10 10 [9.501785,56.26392], 11 [-3.435973,55.378051], 11 12 [-106.346771,56.130366], 12 [ -3.435973,55.378051],13 [31.16558,48.379433], 13 14 [-8.24389,53.41291], 14 [31.16558,48.379433],15 15 [-3.74922,40.463667], 16 16 [103.819836,1.352083], 17 [-102.552784,23.634501], 17 [57.0,-70.0], 18 [21.824312,39.074208], 18 19 [114.109497,22.396428], 19 20 [138.252924,36.204824], 20 [18.643501,60.128161], 21 [21.824312,39.074208], 22 [57.0,-70.0], 23 [25.48583,42.733883] 21 [25.48583,42.733883], 22 [-102.552784,23.634501], 23 [24.96676,45.943161] 24 24 ]} -
other-projects/maori-lang-detection/mongodb-data/multipoint_tentativeNonProductSites.json
r33806 r33813 2 2 [ 3 3 [-95.712891,37.09024], 4 [104.195397,35.86166],5 4 [174.885971,-40.900557], 5 [133.775136,-25.274398], 6 [10.451526,51.165691], 6 7 [2.213749,46.227638], 7 [10.451526,51.165691],8 8 [5.291266,52.132633], 9 [ 133.775136,-25.274398],9 [9.501785,56.26392], 10 10 [-106.346771,56.130366], 11 [9.501785,56.26392],12 11 [-3.74922,40.463667], 13 12 [-3.435973,55.378051], 14 13 [15.472962,49.817492], 14 [14.550072,47.516231], 15 15 [12.56738,41.87194], 16 [14.550072,47.516231],17 [8.227512,46.818188],18 16 [24.96676,45.943161], 19 17 [34.851612,31.046051], 20 [57.0,-70.0], 21 [114.109497,22.396428], 18 [8.227512,46.818188], 19 [25.48583,42.733883], 20 [103.819836,1.352083], 21 [-102.552784,23.634501], 22 [53.688046,32.427908], 23 [104.195397,35.86166], 24 [-8.24389,53.41291], 22 25 [138.252924,36.204824], 23 [-8.24389,53.41291], 24 [31.16558,48.379433], 25 [18.643501,60.128161], 26 [25.748151,61.92411], 26 27 [21.824312,39.074208], 27 28 [105.318756,61.52401], 28 [-20.0,50.0], 29 [25.48583,42.733883], 30 [25.748151,61.92411], 31 [103.819836,1.352083], 32 [35.243322,38.963745], 33 [-102.552784,23.634501], 34 [53.688046,32.427908] 29 [57.0,-70.0] 35 30 ]}
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