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tods/datasets/NAB/combined_labels.json

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  1. {

  2.     "artificialNoAnomaly/art_daily_no_noise.csv": [],

  3.     "artificialNoAnomaly/art_daily_perfect_square_wave.csv": [],

  4.     "artificialNoAnomaly/art_daily_small_noise.csv": [],

  5.     "artificialNoAnomaly/art_flatline.csv": [],

  6.     "artificialNoAnomaly/art_noisy.csv": [],

  7.     "artificialWithAnomaly/art_daily_flatmiddle.csv": [

  8.         "2014-04-11 00:00:00"

  9.     ],

  10.     "artificialWithAnomaly/art_daily_jumpsdown.csv": [

  11.         "2014-04-11 09:00:00"

  12.     ],

  13.     "artificialWithAnomaly/art_daily_jumpsup.csv": [

  14.         "2014-04-11 09:00:00"

  15.     ],

  16.     "artificialWithAnomaly/art_daily_nojump.csv": [

  17.         "2014-04-11 09:00:00"

  18.     ],

  19.     "artificialWithAnomaly/art_increase_spike_density.csv": [

  20.         "2014-04-07 23:10:00"

  21.     ],

  22.     "artificialWithAnomaly/art_load_balancer_spikes.csv": [

  23.         "2014-04-11 04:35:00"

  24.     ],

  25.     "realAWSCloudwatch/ec2_cpu_utilization_24ae8d.csv": [

  26.         "2014-02-26 22:05:00",

  27.         "2014-02-27 17:15:00"

  28.     ],

  29.     "realAWSCloudwatch/ec2_cpu_utilization_53ea38.csv": [

  30.         "2014-02-19 19:10:00",

  31.         "2014-02-23 20:05:00"

  32.     ],

  33.     "realAWSCloudwatch/ec2_cpu_utilization_5f5533.csv": [

  34.         "2014-02-19 00:22:00",

  35.         "2014-02-24 18:37:00"

  36.     ],

  37.     "realAWSCloudwatch/ec2_cpu_utilization_77c1ca.csv": [

  38.         "2014-04-09 10:15:00"

  39.     ],

  40.     "realAWSCloudwatch/ec2_cpu_utilization_825cc2.csv": [

  41.         "2014-04-15 15:44:00",

  42.         "2014-04-16 03:34:00"

  43.     ],

  44.     "realAWSCloudwatch/ec2_cpu_utilization_ac20cd.csv": [

  45.         "2014-04-15 00:49:00"

  46.     ],

  47.     "realAWSCloudwatch/ec2_cpu_utilization_c6585a.csv": [],

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  49.         "2014-02-17 06:12:00",

  50.         "2014-02-22 00:02:00",

  51.         "2014-02-23 15:17:00"

  52.     ],

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  55.     ],

  56.     "realAWSCloudwatch/ec2_disk_write_bytes_c0d644.csv": [

  57.         "2014-04-09 01:30:00",

  58.         "2014-04-10 14:35:00",

  59.         "2014-04-13 03:00:00"

  60.     ],

  61.     "realAWSCloudwatch/ec2_network_in_257a54.csv": [

  62.         "2014-04-15 16:44:00"

  63.     ],

  64.     "realAWSCloudwatch/ec2_network_in_5abac7.csv": [

  65.         "2014-03-10 18:56:00",

  66.         "2014-03-12 21:01:00"

  67.     ],

  68.     "realAWSCloudwatch/elb_request_count_8c0756.csv": [

  69.         "2014-04-12 17:24:00",

  70.         "2014-04-22 19:34:00"

  71.     ],

  72.     "realAWSCloudwatch/grok_asg_anomaly.csv": [

  73.         "2014-01-20 08:30:00",

  74.         "2014-01-21 10:45:00",

  75.         "2014-01-29 00:45:00"

  76.     ],

  77.     "realAWSCloudwatch/iio_us-east-1_i-a2eb1cd9_NetworkIn.csv": [

  78.         "2013-10-10 09:35:00",

  79.         "2013-10-10 20:40:00"

  80.     ],

  81.     "realAWSCloudwatch/rds_cpu_utilization_cc0c53.csv": [

  82.         "2014-02-25 07:15:00",

  83.         "2014-02-27 00:50:00"

  84.     ],

  85.     "realAWSCloudwatch/rds_cpu_utilization_e47b3b.csv": [

  86.         "2014-04-13 06:52:00",

  87.         "2014-04-18 23:27:00"

  88.     ],

  89.     "realAdExchange/exchange-2_cpc_results.csv": [

  90.         "2011-07-14 13:00:01"

  91.     ],

  92.     "realAdExchange/exchange-2_cpm_results.csv": [

  93.         "2011-07-26 06:00:01",

  94.         "2011-08-10 17:00:01"

  95.     ],

  96.     "realAdExchange/exchange-3_cpc_results.csv": [

  97.         "2011-07-14 10:15:01",

  98.         "2011-07-20 10:15:01",

  99.         "2011-08-13 10:15:01"

  100.     ],

  101.     "realAdExchange/exchange-3_cpm_results.csv": [

  102.         "2011-08-19 18:15:01"

  103.     ],

  104.     "realAdExchange/exchange-4_cpc_results.csv": [

  105.         "2011-07-16 09:15:01",

  106.         "2011-08-02 12:15:01",

  107.         "2011-08-23 08:15:01"

  108.     ],

  109.     "realAdExchange/exchange-4_cpm_results.csv": [

  110.         "2011-07-16 09:15:01",

  111.         "2011-08-01 07:15:01",

  112.         "2011-08-23 08:15:01",

  113.         "2011-08-28 13:15:01"

  114.     ],

  115.     "realKnownCause/ambient_temperature_system_failure.csv": [

  116.         "2013-12-22 20:00:00",

  117.         "2014-04-13 09:00:00"

  118.     ],

  119.     "realKnownCause/cpu_utilization_asg_misconfiguration.csv": [

  120.         "2014-07-12 02:04:00",

  121.         "2014-07-14 21:44:00"

  122.     ],

  123.     "realKnownCause/ec2_request_latency_system_failure.csv": [

  124.         "2014-03-14 09:06:00",

  125.         "2014-03-18 22:41:00",

  126.         "2014-03-21 03:01:00"

  127.     ],

  128.     "realKnownCause/machine_temperature_system_failure.csv": [

  129.         "2013-12-11 06:00:00",

  130.         "2013-12-16 17:25:00",

  131.         "2014-01-28 13:55:00",

  132.         "2014-02-08 14:30:00"

  133.     ],

  134.     "realKnownCause/nyc_taxi.csv": [

  135.         "2014-11-01 19:00:00",

  136.         "2014-11-27 15:30:00",

  137.         "2014-12-25 15:00:00",

  138.         "2015-01-01 01:00:00",

  139.         "2015-01-27 00:00:00"

  140.     ],

  141.     "realKnownCause/rogue_agent_key_hold.csv": [

  142.         "2014-07-15 08:30:00",

  143.         "2014-07-17 09:50:00"

  144.     ],

  145.     "realKnownCause/rogue_agent_key_updown.csv": [

  146.         "2014-07-15 04:00:00",

  147.         "2014-07-17 08:50:00"

  148.     ],

  149.     "realTraffic/TravelTime_387.csv": [

  150.         "2015-07-30 12:29:00",

  151.         "2015-08-18 16:26:00",

  152.         "2015-09-01 05:34:00"

  153.     ],

  154.     "realTraffic/TravelTime_451.csv": [

  155.         "2015-08-11 12:07:00"

  156.     ],

  157.     "realTraffic/occupancy_6005.csv": [

  158.         "2015-09-15 06:55:00"

  159.     ],

  160.     "realTraffic/occupancy_t4013.csv": [

  161.         "2015-09-16 08:09:00",

  162.         "2015-09-17 07:55:00"

  163.     ],

  164.     "realTraffic/speed_6005.csv": [

  165.         "2015-09-17 07:00:00"

  166.     ],

  167.     "realTraffic/speed_7578.csv": [

  168.         "2015-09-11 16:44:00",

  169.         "2015-09-15 14:34:00",

  170.         "2015-09-16 14:14:00",

  171.         "2015-09-16 17:10:00"

  172.     ],

  173.     "realTraffic/speed_t4013.csv": [

  174.         "2015-09-16 08:04:00",

  175.         "2015-09-17 08:15:00"

  176.     ],

  177.     "realTweets/Twitter_volume_AAPL.csv": [

  178.         "2015-03-03 21:07:53",

  179.         "2015-03-09 17:32:53",

  180.         "2015-03-16 02:57:53",

  181.         "2015-03-31 03:27:53"

  182.     ],

  183.     "realTweets/Twitter_volume_AMZN.csv": [

  184.         "2015-03-05 19:47:53",

  185.         "2015-03-11 20:57:53",

  186.         "2015-04-01 21:57:53",

  187.         "2015-04-08 04:52:53"

  188.     ],

  189.     "realTweets/Twitter_volume_CRM.csv": [

  190.         "2015-03-09 19:07:53",

  191.         "2015-03-19 23:07:53",

  192.         "2015-03-26 19:07:53"

  193.     ],

  194.     "realTweets/Twitter_volume_CVS.csv": [

  195.         "2015-03-04 16:02:53",

  196.         "2015-03-05 19:57:53",

  197.         "2015-03-26 14:07:53",

  198.         "2015-04-14 22:37:53"

  199.     ],

  200.     "realTweets/Twitter_volume_FB.csv": [

  201.         "2015-03-16 07:07:53",

  202.         "2015-04-03 17:47:53"

  203.     ],

  204.     "realTweets/Twitter_volume_GOOG.csv": [

  205.         "2015-03-13 20:22:53",

  206.         "2015-03-14 16:27:53",

  207.         "2015-03-22 22:52:53",

  208.         "2015-04-01 05:27:53"

  209.     ],

  210.     "realTweets/Twitter_volume_IBM.csv": [

  211.         "2015-03-23 22:27:53",

  212.         "2015-04-20 20:07:53"

  213.     ],

  214.     "realTweets/Twitter_volume_KO.csv": [

  215.         "2015-03-20 13:12:53",

  216.         "2015-04-08 23:42:53",

  217.         "2015-04-14 14:52:53"

  218.     ],

  219.     "realTweets/Twitter_volume_PFE.csv": [

  220.         "2015-03-02 21:22:53",

  221.         "2015-03-04 10:32:53",

  222.         "2015-03-13 19:57:53",

  223.         "2015-04-07 23:42:53"

  224.     ],

  225.     "realTweets/Twitter_volume_UPS.csv": [

  226.         "2015-03-03 00:27:53",

  227.         "2015-03-04 11:07:53",

  228.         "2015-03-05 15:22:53",

  229.         "2015-03-24 18:17:53",

  230.         "2015-03-29 16:27:53"

  231.     ]

  232. }