rebuild

24 files changed, 33 insertions, 34 deletions

diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json
index 89ea03af..fda129eb 100644
--- a/site/datasets/citations/adience.json
+++ b/site/datasets/citations/adience.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/afad.json b/site/datasets/citations/afad.json
index c0640c9b..21d19141 100644
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diff --git a/site/datasets/citations/afw.json b/site/datasets/citations/afw.json
index 73ebf6ce..903e3557 100644
--- a/site/datasets/citations/afw.json
+++ b/site/datasets/citations/afw.json
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diff --git a/site/datasets/citations/alert_airport.json b/site/datasets/citations/alert_airport.json
index a5af86a7..2bdcacd1 100644
--- a/site/datasets/citations/alert_airport.json
+++ b/site/datasets/citations/alert_airport.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/celeba.json b/site/datasets/citations/celeba.json
index 4aa69116..d211641e 100644
--- a/site/datasets/citations/celeba.json
+++ b/site/datasets/citations/celeba.json
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diff --git a/site/datasets/citations/cofw.json b/site/datasets/citations/cofw.json
index 8de06374..19d2a2ac 100644
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+++ b/site/datasets/citations/cofw.json
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diff --git a/site/datasets/citations/cuhk_campus_03.json b/site/datasets/citations/cuhk_campus_03.json
index 9cf6c85c..988f338e 100644
--- a/site/datasets/citations/cuhk_campus_03.json
+++ b/site/datasets/citations/cuhk_campus_03.json
@@ -1 +1 @@
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"Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "443acd268126c777bc7194e185bec0984c3d1ae7", "title": "Retrieving relative soft biometrics for semantic identification", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://eprints.soton.ac.uk/402985/1/icpr-16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900105", "http://doi.org/10.1109/ICPR.2016.7900105"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "title": "Domain adaptation for cross-dataset person re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404852", "http://doi.org/10.1109/SIU.2018.8404852"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "title": "Cross-domain attribute representation based on convolutional neural network", "addresses": [{"name": "Jiangsu University of Technology", "source_name": "Jiangsu University of Technology, Changzhou, China", "street_adddress": "China, Jiangsu, Changzhou, Wujin, Yunhe N Rd, \u4e2d\u5434\u5927\u90531801\u53f7", "lat": "31.74657900", "lng": "119.91859500", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07295.pdf"], "doi": []}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "title": "Fast Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8011476", "http://doi.org/10.1109/TIP.2017.2740564", "https://www.ncbi.nlm.nih.gov/pubmed/28816668", "https://www.wikidata.org/entity/Q50429691"]}, {"id": "c5482c2080ed780094091b9535865c4c4e5a2984", "title": "An improved deep feature learning method for person re-identification", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322817"]}, {"id": "d348197e47a8e081bd3f12a22bc52b055ecd8302", "title": "Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "addresses": [{"name": "Computer Vision Laboratory, GIST, South Korea", "source_name": "Computer Vision Laboratory, GIST, South Korea", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07085.pdf"], "doi": []}, {"id": "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "title": "Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8085134", "http://doi.org/10.1109/TPAMI.2017.2764893", "https://www.ncbi.nlm.nih.gov/pubmed/29989963"]}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "title": "Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2016_THMS_OnLineCrossModalAdaptation_Brutti_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7742962", "http://doi.org/10.1109/THMS.2016.2620110"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "title": "Person Re-identification Using Two-Stage Convolutional Neural Network", "addresses": [{"name": "University of Electronic Science and Technology", "source_name": "University of Electronic Science and Technology, Sichuan, China", "street_adddress": "4 Jianshe North Rd 2nd Section, JianShe Lu, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610051", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545498"]}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "88e68073a175b8dfc15d7cb9c8a1baa3ebc119c9", "title": "A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz", "addresses": [{"name": "Federal University of Rio Grande do Norte", "source_name": "Federal University of Rio Grande do Norte, Natal, RN, Brazil", "street_adddress": "Campus Universit\u00e1rio Lagoa Nova - Lagoa Nova, Natal - RN, 59078-970, Brazil", "lat": "-5.84071140", "lng": "-35.20058540", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/88e6/8073a175b8dfc15d7cb9c8a1baa3ebc119c9.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "b55914fe572bd2449234eb05c300b32ad94e97d8", "title": "Person re-identification using multiple features fusion", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846660"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv
index e3448b46..d75f4cd5 100644
--- a/site/datasets/citations/datasets.csv
+++ b/site/datasets/citations/datasets.csv
@@ -3,11 +3,11 @@ adience,Adience,,26580,179
 geofaces,GeoFaces,,248000,8

 h3d,H3D,,"(None,)",716

 helen,Helen,,2330,352

-ibm_dif,IBM Diversity in Faces,,"(None,)",0

+ibm_dif,IBM Diversity in Faces,,1070000,0

 images_of_groups,Images of Groups,,5080,0

 leeds_sports_pose,Leeds Sports Pose,,2000,285

 leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169

-lfpw,LFPW,,"(None,)",0

+lfpw,LFPW,,1433,0

 mafa,MAsked FAces,,30811,5

 megaage,MegaAge,,41941,4

 megaface,MegaFace,,4753520,39

@@ -82,7 +82,7 @@ erce,ERCe,,"(None,)",29
 eth_andreas_ess,ETHZ Pedestrian,,2293,324

 europersons,EuroCity Persons,,47300,2

 expw,ExpW,,8306,11

-face_scrub,FaceScrub,,106863,138

+face_scrub,FaceScrub,,105830,138

 face_tracer,FaceTracer,,"(None,)",225

 facebook_100,Facebook100,,100,52

 faceplace,Face Place,,"(None,)",29

@@ -108,12 +108,12 @@ hrt_transgender,HRT Transgender,,10564,7
 ifad,IFAD,,3296,2

 ifdb,IFDB,,3600,0

 iit_dehli_ear,IIT Dehli Ear,,465,80

-ijb_a,IJB-A,,24327,237

-ijb_b,IJB-B,,11754,35

+ijb_a,IJB-A,,5396,237

+ijb_b,IJB-B,,11755,35

 ijb_c,IJB-C,,21294,14

 ilids_mcts,i-LIDS Multiple-Camera,,"(None,)",35

 ilids_mcts_vid,iLIDS-VID,,43800,209

-imdb_face,IMDb Face,,"(None,)",6

+imdb_face,IMDb Face,,1662888,6

 imdb_wiki,IMDB-Wiki,,523051,145

 imfdb,IMFDB,,34512,17

 immediacy,Immediacy,,10000,26

@@ -142,7 +142,7 @@ mit_cbcl,MIT CBCL,,2000,0
 miw,MIW,,154,49

 mmi_facial_expression,MMI Facial Expression Dataset,,2900,464

 morph,MORPH Commercial,,"(None,)",437

-morph_nc,MORPH Non-Commercial,,55134,437

+morph_nc,MORPH-II,,55134,437

 mot,MOT,,17757,632

 mpi_large,Large MPI Facial Expression,,"(None,)",33

 mpi_small,Small MPI Facial Expression,,12595,33

@@ -150,7 +150,7 @@ mpii_gaze,MPIIGaze,,213659,149
 mpii_human_pose,MPII Human Pose,,1021720,387

 mr2,MR2,,74,7

 mrp_drone,MRP Drone,,"(None,)",7

-msceleb,MsCeleb,,10000000,180

+msceleb,MsCeleb,,8200000,180

 msmt_17,MSMT17,,126441,24

 mtfl,MTFL,,12995,407

 mug_faces,MUG Faces,,1222,82

@@ -176,7 +176,7 @@ put_face,Put Face,,9971,99
 qmul_grid,GRID,,1275,84

 qmul_surv_face,QMUL-SurvFace,,463507,1

 rafd,RaFD,,536,487

-raid,RAiD,,6920,49

+raid,43,,6920,49

 rap_pedestrian,RAP,,"(None,)",26

 reseed,ReSEED,,430000,6

 saivt,SAIVT SoftBio,,64472,65

@@ -195,7 +195,6 @@ stickmen_pascal,Stickmen PASCAL,,549,369
 sun_attributes,SUN,,16873,116

 svs,SVS,,"(None,)",28

 texas_3dfrd,Texas 3DFRD,,1149,91

-tiny_images,Tiny Images,,7527697,999

 tisi,Times Square Intersection,,"(None,)",29

 tud_brussels,TUD-Brussels,,508,0

 tud_campus,TUD-Campus,,71,545

@@ -217,7 +216,7 @@ urban_tribes,Urban Tribes,,340,18
 v47,V47,,752,9

 vadana,VADANA,,2298,15

 vgg_celebs_in_places,CIP,,38000,5

-vgg_faces,VGG Face,,982803,999

+vgg_faces,VGG Face,,2604849,999

 vgg_faces2,VGG Face2,,3310000,83

 violent_flows,Violent Flows,,"(None,)",88

 viper,VIPeR,,1264,624

diff --git a/site/datasets/citations/duke_mtmc.json b/site/datasets/citations/duke_mtmc.json
index 8bc0c150..072c33ca 100644
--- a/site/datasets/citations/duke_mtmc.json
+++ b/site/datasets/citations/duke_mtmc.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/fiw_300.json b/site/datasets/citations/fiw_300.json
index db7defe4..98fc1652 100644
--- a/site/datasets/citations/fiw_300.json
+++ b/site/datasets/citations/fiw_300.json
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diff --git a/site/datasets/citations/helen.json b/site/datasets/citations/helen.json
index 5d24cd89..683c3a5d 100644
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diff --git a/site/datasets/citations/ijb_a.json b/site/datasets/citations/ijb_a.json
index 44b62c6f..8d0879c4 100644
--- a/site/datasets/citations/ijb_a.json
+++ b/site/datasets/citations/ijb_a.json
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\ No newline at end of file
diff --git a/site/datasets/citations/imdb_face.json b/site/datasets/citations/imdb_face.json
index 783a60f5..1e79740b 100644
--- a/site/datasets/citations/imdb_face.json
+++ b/site/datasets/citations/imdb_face.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/lfw.json b/site/datasets/citations/lfw.json
index bd3e3b52..2364fc0c 100644
--- a/site/datasets/citations/lfw.json
+++ b/site/datasets/citations/lfw.json
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diff --git a/site/datasets/citations/market_1501.json b/site/datasets/citations/market_1501.json
index 733bd622..fdd100af 100644
--- a/site/datasets/citations/market_1501.json
+++ b/site/datasets/citations/market_1501.json
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diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json
index dc264fdc..fa14a145 100644
--- a/site/datasets/citations/megaface.json
+++ b/site/datasets/citations/megaface.json
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diff --git a/site/datasets/citations/morph.json b/site/datasets/citations/morph.json
index 6ce90a94..fbaf1816 100644
--- a/site/datasets/citations/morph.json
+++ b/site/datasets/citations/morph.json
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diff --git a/site/datasets/citations/morph_nc.json b/site/datasets/citations/morph_nc.json
index f2a74812..3f8dd2f5 100644
--- a/site/datasets/citations/morph_nc.json
+++ b/site/datasets/citations/morph_nc.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/mot.json b/site/datasets/citations/mot.json
index a3338067..e301f1d3 100644
--- a/site/datasets/citations/mot.json
+++ b/site/datasets/citations/mot.json
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diff --git a/site/datasets/citations/msceleb.json b/site/datasets/citations/msceleb.json
index c173838c..d515cf7a 100644
--- a/site/datasets/citations/msceleb.json
+++ b/site/datasets/citations/msceleb.json
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diff --git a/site/datasets/citations/pa_100k.json b/site/datasets/citations/pa_100k.json
index 8df4cf7f..2d1372d0 100644
--- a/site/datasets/citations/pa_100k.json
+++ b/site/datasets/citations/pa_100k.json
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diff --git a/site/datasets/citations/pipa.json b/site/datasets/citations/pipa.json
index 320a252a..a506a1dc 100644
--- a/site/datasets/citations/pipa.json
+++ b/site/datasets/citations/pipa.json
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diff --git a/site/datasets/citations/viper.json b/site/datasets/citations/viper.json
index 0fb563c5..6a5ad257 100644
--- a/site/datasets/citations/viper.json
+++ b/site/datasets/citations/viper.json
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diff --git a/site/datasets/citations/yale_faces.json b/site/datasets/citations/yale_faces.json
index 29bbfebc..bc7a2e1c 100644
--- a/site/datasets/citations/yale_faces.json
+++ b/site/datasets/citations/yale_faces.json
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