TYPE,NAME,INFOHASH,SIZEBYTES,MIRRORS,DOWNLOADERS,TIMESCOMPLETED,DATEADDED,DATEMODIFIED
Dataset,"Udacity Didi $100k Challenge Dataset 1",76352487923a31d47a6029ddebf40d9265e770b5,32801992154,2,0,955,1490234857,1599249515
Dataset,"reddit_data",85a5bd50e4c365f8df70240ffd4ecc7dec59912b,304759701602,6,0,1971,1492420858,1599249563
Dataset,"AVA: A Large-Scale Database for Aesthetic Visual Analysis",71631f83b11d3d79d8f84efe0a7e12f0ac001460,33142609854,10,0,13771,1500205149,1599249526
Dataset,"NIH Pancreas-CT Dataset",80ecfefcabede760cdbdf63e38986501f7becd49,4863883044,16,0,21999,1505241389,1599249505
Dataset,"NIH Chest X-ray Dataset of 14 Common Thorax Disease Categories",557481faacd824c83fbf57dcf7b6da9383b3235a,45089461497,15,0,10825,1507562340,1599249439
Dataset,"UrbanMapper 3D (Digital Surface Model and Digital Terrain Model) Dataset",4ccd3743861d827ac80f0d2b234d7fcfdad2a31d,6618441904,7,0,190,1507998032,1676410024
Dataset,"GANGogh training data set",1d154cde2fab9ec8039becd03d9bb877614d351b,37153345191,4,0,905,1511915640,1599249511
Dataset,"Breast Cancer Cell Segmentation",b79869ca12787166de88311ca1f28e3ebec12dec,159955958,10,0,1500,1519069114,1599249262
Dataset,"LiTS – Liver Tumor Segmentation Challenge (LiTS17)",27772adef6f563a1ecc0ae19a528b956e6c803ce,16655115138,16,0,13285,1532208088,1599672269
Dataset,""Pwned Passwords" Dataset",53555c69e3799d876159d7290ea60e56b35e36a9,11101449979,23,0,5514,1533335867,1599249253
Dataset,"VizWiz v1.0 dataset (Answering Visual Questions from Blind People)",b633e14aa084fab57f20ad0b4612e0932ae1f2dc,15394669439,5,0,107,1535060843,1599249507
Dataset,"Spoken Wikipedia 2018",5d2a7304089a97cecb5de3f055495ed65013c968,16833686963,0,0,140,1535103083,1599249599
Dataset,"Medical Segmentation Decathlon Datasets",274be65156ed14828fb7b30b82407a2417e1924a,75906970628,7,0,292,1537440844,1599249660
Dataset,"Amazon reviews - Full",66ddbb6d5f49aa6c36a01ca5e814f1beef00b5b7,643695014,4,0,1109,1539708780,1599249502
Dataset,"The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight",eb542a231dbeb2125e4ec88ddd18841a867c2656,4789641252217,0,2,22,1540311148,1672677896
Dataset,"DeepLesion (10,594 CT scans with lesions)",de50f4d4aa3d028944647a56199c07f5fa6030ff,243037288033,8,0,2718,1548522158,1599249611
Dataset,"UN corpus - training-parallel-un.tgz (ES-EN, FR-EN)",e4dc3c28d6035a64af928dbdcbc8d6cc0d62d39c,2365634246,2,0,57,1549313997,1599249514
Dataset,"IDRiD (Indian Diabetic Retinopathy Image Dataset)",3bb974ffdad31f9df9d26a63ed2aea2f1d789405,1010096056,15,0,17624,1549438671,1599249494