number int64 0 1.02M | task stringclasses 8
values | question stringlengths 70 8.92k | question_type stringclasses 5
values | input_ts stringlengths 18 4.48k | meta_info stringlengths 57 966 | answer stringlengths 1 3.02k | domain stringlengths 2 56 | dataset stringlengths 2 117 | raw_ts stringlengths 69 25.9k | answer_gpt4o stringlengths 0 2.69k ⌀ | answer_gemini_2_5_flash stringlengths 0 72.3k |
|---|---|---|---|---|---|---|---|---|---|---|---|
10,134 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.2156, -0.1196, -0.1516, -0.0556, -0.0236, 0.0084, 0.0723, 0.1363, 0.1683, 0.1043, 0.1683, 0.1363, 0.1683, 0.1363, 0.2003, 0.1683, 0.2003, 0.2003, 0.2323, 0.2323, 0.2323, 0.2643, 0.2323, 0.2643, 0.2323, 0.2963, 0.2323, 0.2643, 0.2003, 0.2323, 0.2003, 0.2003, 0.2003, 0.2323, 0.1683, 0.2003, 0.1683, 0.1683, 0.2003, 0.... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.07999999821186066, -0.05000000074505806, -0.05999999865889549, -0.029999999329447746, -0.019999999552965164, -0.009999999776482582, 0.009999999776482582, 0.029999999329447746, 0.03999999910593033, 0.019999999552965164, 0.03999999910593033, 0.029999999329447746, 0.03999999910593033, 0.029999999329447746, 0.050000000... | T | T |
10,036 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.3889, -0.4353, -0.4818, -0.5748, -0.6445, -0.7374, -0.8071, -0.8769, -0.9466, -0.9931, -0.9931, -0.9233, -0.7374, -0.598, -0.3191, -0.1565, 0.0527, 0.1456, 0.2386, 0.2386, 0.1921, 0.0759, 0.0759, 0.0062, 0.0294, 0.0294, 0.0294, 0.0294, 0.0294, 0.0527, 0.0062, 0.0294, 0.0759, 0.0527, 0.0294, 0.0527, 0.0527, 0.0294, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.18000000715255737, -0.20000000298023224, -0.2199999988079071, -0.25999999046325684, -0.28999999165534973, -0.33000001311302185, -0.36000001430511475, -0.38999998569488525, -0.41999998688697815, -0.4399999976158142, -0.4399999976158142, -0.4099999964237213, -0.33000001311302185, -0.27000001072883606, -0.150000005960... | T | T |
10,109 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.2518, -1.4614, -1.6245, -1.7642, -1.904, -2.0204, -2.067, -2.0903, -1.9506, -1.8108, -1.6478, -1.4382, -1.2285, -0.9723, -0.7627, -0.5531, -0.3435, -0.2503, -0.1571, -0.064, -0.064, -0.0174, 0.0059, 0.0292, -0.0174, 0.0059, -0.064, 0.0059, -0.0174, -0.0174, 0.0292, -0.0407, -0.0407, 0.0059, -0.0407, -0.0174, -0.064... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.550000011920929, -0.6399999856948853, -0.7099999785423279, -0.7699999809265137, -0.8299999833106995, -0.8799999952316284, -0.8999999761581421, -0.9100000262260437, -0.8500000238418579, -0.7900000214576721, -0.7200000286102295, -0.6299999952316284, -0.5400000214576721, -0.4300000071525574, -0.3400000035762787, -0.25... | T | T |
10,124 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0412, -0.3481, -0.23, -0.1828, -0.3009, -0.4189, -0.2773, -0.3953, -0.3009, -0.3009, -0.7257, -0.2064, -0.3245, -0.5369, -0.112, -0.3953, -0.1592, -0.3481, -0.3717, -0.2773, -0.3009, -0.2773, -0.3717, -0.2773, -0.4661, -0.0176, -0.4661, -0.2537, -0.3481, -0.3009, -0.5369, -0.3953, -0.1592, -0.4661, -0.2773, -0.4189... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.029999999329447746, -0.1599999964237213, -0.10999999940395355, -0.09000000357627869, -0.14000000059604645, -0.1899999976158142, -0.12999999523162842, -0.18000000715255737, -0.14000000059604645, -0.14000000059604645, -0.3199999928474426, -0.10000000149011612, -0.15000000596046448, -0.23999999463558197, -0.0599999986... | T | T |
10,005 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.4611, -0.5102, -0.5102, -0.5592, -0.5592, -0.5102, -0.5102, -0.4611, -0.4611, -0.4611, -0.4611, -0.4611, -0.412, -0.412, -0.4611, -0.3629, -0.3629, -0.3629, -0.2647, -0.2647, -0.2156, -0.1666, -0.1666, -0.0684, -0.0193, -0.0193, -0.0193, -0.0193, -0.1175, -0.2156, -0.412, -0.4611, -0.5592, -0.5592, -0.6083, -0.6083... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.13500000536441803, -0.14499999582767487, -0.14499999582767487, -0.1550000011920929, -0.1550000011920929, -0.14499999582767487, -0.14499999582767487, -0.13500000536441803, -0.13500000536441803, -0.13500000536441803, -0.13500000536441803, -0.13500000536441803, -0.125, -0.125, -0.13500000536441803, -0.1150000020861625... | T | T |
10,027 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.2016, -1.8756, -1.9206, -1.4712, -2.1902, 1.4048, 1.4498, 0.596, -0.1231, -1.0668, -0.3927, 0.6409, 0.1016, 0.1016, 0.0567, 0.0567, 0.0118, 0.0118, 0.0118, -0.1231, -0.168, -0.2129, -0.2579, -0.3477, -0.4376, -0.6174, -0.7073, -0.8421, -0.8421, -0.887, -0.8421, -0.7522, -0.4826, -0.3477, -0.0781, 0.1915, 0.4162, 0.... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.2800000011920929, -0.4300000071525574, -0.4399999976158142, -0.3400000035762787, -0.5, 0.30000001192092896, 0.3100000023841858, 0.11999999731779099, -0.03999999910593033, -0.25, -0.10000000149011612, 0.12999999523162842, 0.009999999776482582, 0.009999999776482582, 0.0, 0.0, -0.009999999776482582, -0.009999999776482... | T | T |
1,008 | classification | Classify the given time series into one of the categories below.
Respond ONLY with the letter of the correct choice (A, B).
Choices:
A: correct
B: incorrect
| multiple_choices | [-1.016, -0.9159, -0.6745, -0.3573, -0.0076, 0.3209, 0.6366, 0.9187, 1.2368, 1.524, 1.6761, 1.4089, 1.3905, 1.5599, 1.6088, 1.4954, 1.2478, 1.0117, 0.7449, 0.4416, 0.1119, -0.2298, -0.5404, -0.8458, -0.986, -0.9877, -0.8177, -0.5332, -0.2292, 0.0745, 0.3899, 0.7156, 1.0186, 1.3238, 1.5223, 1.5003, 1.3984, 1.3511, 1.440... | This time series comes from a dataset analyzing hand and finger bone outlines automatically extracted from medical images to evaluate outline detection accuracy, predict subject age groups, and estimate developmental stages using established scoring methods for pediatric bone age assessment. | B | healthcare | UCR_Classification_ProximalPhalanxOutlineCorrect | [-1.0096025466918945, -0.9102014303207397, -0.6703031659126282, -0.35506221652030945, -0.007556108757853508, 0.3188403248786926, 0.6325990557670593, 0.9129692316055298, 1.2290682792663574, 1.514431118965149, 1.6656156778335571, 1.4000674486160278, 1.3818130493164062, 1.5501600503921509, 1.5986826419830322, 1.4860353469... | A | A |
10,114 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1557, 0.2304, 0.2553, 0.33, 0.33, 0.3798, 0.3798, 0.3798, 0.4295, 0.5789, 0.4793, 0.554, 0.554, 0.6535, 0.7033, 0.7282, 0.778, 0.9273, 0.9273, 0.8776, 0.9273, 0.9025, 0.8278, 0.7033, 0.5291, 0.2802, 0.2055, 0.0313, 0.1308, 0.0313, 0.0562, 0.1557, 0.1308, 0.1308, 0.1806, 0.106, 0.0811, 0.106, 0.0811, 0.1557, 0.1557, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.05000000074505806, 0.07999999821186066, 0.09000000357627869, 0.11999999731779099, 0.11999999731779099, 0.14000000059604645, 0.14000000059604645, 0.14000000059604645, 0.1599999964237213, 0.2199999988079071, 0.18000000715255737, 0.20999999344348907, 0.20999999344348907, 0.25, 0.27000001072883606, 0.2800000011920929, 0... | T | T |
10,011 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1806, 0.0562, 0.1557, 0.1557, 0.1308, 0.0811, 0.1806, 0.0313, 0.2055, 0.1557, 0.1806, 0.2802, 0.2304, 0.2304, 0.2802, 0.5042, 0.3549, 0.2802, 0.1806, 0.0313, 0.0064, -0.1181, -0.0185, -0.0185, 0.0313, -0.0185, 0.0313, -0.0185, 0.554, 0.9771, 0.4046, -2.632, -3.6028, -2.6071, -1.8355, -1.0141, -0.1181, 0.2553, 0.2553... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.05999999865889549, 0.009999999776482582, 0.05000000074505806, 0.05000000074505806, 0.03999999910593033, 0.019999999552965164, 0.05999999865889549, 0.0, 0.07000000029802322, 0.05000000074505806, 0.05999999865889549, 0.10000000149011612, 0.07999999821186066, 0.07999999821186066, 0.10000000149011612, 0.1899999976158142... | T | T |
10,009 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.4781, 0.1712, 0.6197, 0.4073, 0.4781, 0.4545, 0.4073, 0.1712, 0.242, 0.0532, 0.0296, 0.0532, 0.1476, 0.006, -0.0176, 0.0296, 0.2892, 0.8085, 1.1626, -1.5283, -3.3694, -2.5433, -1.8115, -0.9854, -0.2773, 0.0532, -0.0648, 0.1948, 0.1476, 0.2184, 0.1948, 0.3128, 0.2184, 0.2892, 0.2892, 0.3837, 0.3128, 0.5017, 0.4073, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.1899999976158142, 0.05999999865889549, 0.25, 0.1599999964237213, 0.1899999976158142, 0.18000000715255737, 0.1599999964237213, 0.05999999865889549, 0.09000000357627869, 0.009999999776482582, 0.0, 0.009999999776482582, 0.05000000074505806, -0.009999999776482582, -0.019999999552965164, 0.0, 0.10999999940395355, 0.33000... | T | T |
10,046 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.8747, -2.2553, -2.2777, -2.524, -2.5688, -2.5464, -2.5911, -2.6135, -2.3673, -2.1658, -2.0762, -1.718, -1.427, -1.2031, -0.733, -0.5091, -0.2181, -0.1061, 0.1625, 0.0282, 0.0953, 0.1625, 0.1177, 0.2073, 0.1177, 0.0506, 0.0953, 0.2297, -0.039, 0.2073, 0.1849, 0.1849, 0.2297, 0.1625, 0.1625, 0.0953, 0.1401, 0.1849, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.8500000238418579, -1.0199999809265137, -1.0299999713897705, -1.1399999856948853, -1.159999966621399, -1.149999976158142, -1.1699999570846558, -1.1799999475479126, -1.0700000524520874, -0.9800000190734863, -0.9399999976158142, -0.7799999713897705, -0.6499999761581421, -0.550000011920929, -0.3400000035762787, -0.2399... | T | T |
10,077 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.085, -0.1002, 0.1762, 0.1662, -0.6369, 3.644, -0.5385, -0.6369, -0.5351, -0.6369, -0.0846, -0.3278, -0.5847, -0.4847, 0.0055, -0.2075, -0.6369, -0.6369, 0.0236, 0.2885, 0.3594, 0.3338, 1.8157, -0.6076, -0.1637, -0.6079, -0.6369, 0.3598, -0.6369, -0.5796, 0.334, -0.26, -0.6369, -0.6214, -0.2694, -0.2685, -0.6369, -0.... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.168539, 0.125316, 0.189831, 0.1875, 0.0, 0.999405, 0.022973, 0.0, 0.02377, 0.0, 0.128942, 0.072165, 0.012195, 0.035549, 0.149975, 0.100266, 0.0, 0.0, 0.154208, 0.216049, 0.232603, 0.226632, 0.572589, 0.006853, 0.110473, 0.006783, 0.0, 0.232696, 0.0, 0.013384, 0.226668, 0.088008, 0.0, 0.00363, 0.085797, 0.086022, 0.0... | T | T |
10,103 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.4303, 3.173, -1.6617, -3.0098, -2.173, -3.1027, -1.8476, -0.1276, -0.1276, -0.0811, 0.0119, 0.1048, 0.1048, 0.1048, 0.1048, 0.1978, 0.0584, 0.1048, 0.1513, 0.0584, 0.1048, 0.0584, -0.0346, -0.0811, -0.2206, -0.4065, -0.546, -0.7319, -1.0108, -1.1968, -1.2898, -1.4292, -1.3827, -1.3362, -1.1503, -1.0108, -0.546, -0.4... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.07999999821186066, 0.6700000166893005, -0.3700000047683716, -0.6600000262260437, -0.47999998927116394, -0.6800000071525574, -0.4099999964237213, -0.03999999910593033, -0.03999999910593033, -0.029999999329447746, -0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.00999999977648... | T | T |
10,133 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0313, 0.106, 0.0562, 0.1308, 0.106, 0.1806, 0.3051, 0.1806, 0.2055, 0.33, 0.3549, 0.3798, 0.4793, 0.5042, 0.5291, 0.6038, 0.5789, 0.7033, 0.7531, 0.8278, 0.6784, 0.778, 0.6287, 0.4793, 0.4295, 0.2304, 0.0562, -0.0434, -0.0434, -0.0683, -0.143, -0.1181, -0.0185, -0.0434, -0.0185, -0.1181, -0.0932, -0.1181, -0.0932, -... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.0, 0.029999999329447746, 0.009999999776482582, 0.03999999910593033, 0.029999999329447746, 0.05999999865889549, 0.10999999940395355, 0.05999999865889549, 0.07000000029802322, 0.11999999731779099, 0.12999999523162842, 0.14000000059604645, 0.18000000715255737, 0.1899999976158142, 0.20000000298023224, 0.2300000041723251... | T | T |
10,015 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.2879, 0.3536, 0.5403, 0.9088, -0.6369, 3.6465, -0.5669, -0.6369, -0.5876, -0.6369, -0.3726, -0.5201, -0.5941, -0.4516, -0.3491, -0.3751, -0.6369, -0.6369, 0.1395, 0.5415, 0.6049, 0.5781, 2.7297, -0.6229, -0.0131, -0.6219, -0.6369, 0.6049, -0.6369, -0.5873, 0.5783, -0.2765, -0.6369, -0.6178, -0.2281, -0.2281, -0.6369... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.215909, 0.231242, 0.274845, 0.36087, 0.0, 1.0, 0.016346, 0.0, 0.011526, 0.0, 0.061713, 0.027273, 0.01, 0.043276, 0.067205, 0.061124, 0.0, 0.0, 0.181257, 0.275105, 0.289908, 0.283668, 0.785962, 0.003288, 0.145649, 0.003515, 0.0, 0.28992, 0.0, 0.011589, 0.283699, 0.084151, 0.0, 0.00448, 0.095446, 0.095446, 0.0, 0.0] | T | T |
10,062 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.0322, -1.0322, -1.0322, -1.0322, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9688, 0.9... | This time series is a portable pick-and-place demonstrator which uses an air tank to supply all the gripping and storage units. Data samples were taken through an OPC connection with a resolution of 50 milliseconds. | F | manufacturing | Genesis | [0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,... | T | F |
10,123 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0986, -0.5316, -0.5221, -0.4821, 3.5728, 3.6431, -0.4741, -0.6369, -0.5555, -0.6357, -0.6366, 0.1939, -0.4656, -0.2098, 0.1095, 0.161, -0.6369, -0.6369, 1.242, 1.6293, 0.7108, 0.8177, -0.6327, -0.2297, -0.6205, 0.0818, -0.6369, 0.8212, -0.6369, -0.6326, 0.7075, -0.6352, -0.6369, -0.63, 1.2685, 1.2685, -0.6369, -0.63... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.171717, 0.024586, 0.026809, 0.036145, 0.982792, 0.99921, 0.038013, 0.0, 0.01901, 0.000284, 8.2e-05, 0.193974, 0.04, 0.099723, 0.174267, 0.186288, 0.0, 0.0, 0.438644, 0.529058, 0.314635, 0.339587, 0.000997, 0.095064, 0.003841, 0.167795, 0.0, 0.340413, 0.0, 0.001005, 0.313866, 0.000414, 0.0, 0.00163, 0.444829, 0.44482... | T | T |
10,117 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9305, 0.9473, 0.9585, 0.9585, 0.9585, 0.9585, 0.9585, 0.9398, 0.9249, 0.9585, 0.9398, 0.9165, 0.9212, 0.9249, 0.9361, 0.9137, 0.9305, 0.9137, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025, 0.9025,... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 426.0, 430.20001220703125, 433.0, 433.0, 433.0, 433.0, 433.0, 428.3333435058594, 424.6000061035156, 433.0, 428.3333435058594, 422.5, 423.6666564941406, 424.6000061035156, 427.3999938964844, 421.79998779296875, 426.0, 421.79998779296875, 419.0, 419.0... | T | T |
10,030 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.6702, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714, -0.714... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453, 20.700000762939453,... | T | T |
0 | classification | Classify the given time series into one of the categories below.
Respond ONLY with the letter of the correct choice (A, B).
Choices:
A: normal process
B: abnormal process
| multiple_choices | [-1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, -1.1868, 1.0083, 1.0012, 0.9976, 0.9976, 1.0012, 1.0012, 1.0012, 1.0012, 1.0012, 1.0012, 1.0012, 1.0047, 1.0047, 1.0012, -1.1868, -1.1868, -1.1868, -1.1868, ... | This time series comes from a dataset capturing process control measurements recorded by individual sensors during the fabrication of silicon wafers in semiconductor manufacturing, providing data for monitoring and classifying normal and abnormal production processes. | B | manufacturing | UCR_Classification_Wafer | [-1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1829017400741577, -1.1... | B | B |
10,092 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.2851, -0.0868, 0.2618, 0.471, 0.7963, 0.4245, -0.8769, -0.7839, 2.3068, 3.2828, 3.7243, 4.8398, 5.2813, 5.6299, 6.5826, 3.9102, 1.5632, 0.2386, 0.1456, -0.203, -0.3889, -0.5748, -0.6677, -0.7607, -0.8769, -0.9931, -1.1325, -1.2487, -1.4113, -1.574, -1.7599, -1.9923, -2.2479, -2.5268, -2.7592, -2.9451, -3.038, -3.084... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.10999999940395355, -0.05000000074505806, 0.10000000149011612, 0.1899999976158142, 0.33000001311302185, 0.17000000178813934, -0.38999998569488525, -0.3499999940395355, 0.9800000190734863, 1.399999976158142, 1.590000033378601, 2.069999933242798, 2.259999990463257, 2.4100000858306885, 2.819999933242798, 1.6699999570846... | T | T |
10,012 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1285, -0.0166, 0.0282, -0.1061, 0.0282, -0.0614, -0.1285, -0.0166, -0.0614, -0.0614, 0.0282, -0.0166, -0.1509, -0.0166, -0.039, -0.1061, -0.1285, -0.039, -0.1061, -0.0166, -0.0838, 0.073, -0.0166, -0.1957, -0.039, -0.2181, 0.1177, 0.2521, 0.2744, 0.5207, 0.2521, -0.1061, -0.5987, -0.8002, -1.024, -0.9569, -1.427, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.07000000029802322, -0.019999999552965164, 0.0, -0.05999999865889549, 0.0, -0.03999999910593033, -0.07000000029802322, -0.019999999552965164, -0.03999999910593033, -0.03999999910593033, 0.0, -0.019999999552965164, -0.07999999821186066, -0.019999999552965164, -0.029999999329447746, -0.05999999865889549, -0.0700000002... | T | T |
10,113 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.2624, 0.234, 0.149, 0.149, 0.0357, 0.0357, 0.0357, 0.0074, -0.0776, -0.0492, 0.0074, -0.0492, -0.0492, 0.0074, -0.0209, -0.0492, 0.0357, 0.0641, 0.0641, -0.0492, 0.1774, 0.0641, 0.404, 0.3473, 0.149, 0.0357, -0.0776, -0.1625, -0.1625, -0.1909, -0.1625, -0.1909, -0.2475, -0.1909, -0.1909, -0.2475, 0.0357, 0.404, 0.99... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.07999999821186066, 0.07000000029802322, 0.03999999910593033, 0.03999999910593033, 0.0, 0.0, 0.0, -0.009999999776482582, -0.03999999910593033, -0.029999999329447746, -0.009999999776482582, -0.029999999329447746, -0.029999999329447746, -0.009999999776482582, -0.019999999552965164, -0.029999999329447746, 0.0, 0.0099999... | T | T |
10,047 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.2546, -0.2546, -0.2546, -0.1761, -0.1761, -0.1761, -0.0977, -0.1761, -0.0192, 0.0593, 0.1378, 0.2162, 0.2947, 0.4517, 0.6086, 0.4517, 0.3732, 0.2947, 0.2162, 0.0593, -0.0192, -0.1761, -0.0977, -0.1761, -0.1761, -0.0977, -0.0977, -0.0977, -0.0977, -0.0977, -0.0192, -0.0977, -0.1761, -0.1761, -0.0977, -0.0977, -0.097... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.07500000298023224, -0.07500000298023224, -0.07500000298023224, -0.06499999761581421, -0.06499999761581421, -0.06499999761581421, -0.054999999701976776, -0.06499999761581421, -0.04500000178813934, -0.03500000014901161, -0.02500000037252903, -0.014999999664723873, -0.004999999888241291, 0.014999999664723873, 0.035000... | T | T |
10,043 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.9136, -1.7897, -2.0686, -2.1926, -2.3785, -2.5025, -2.7195, -2.9984, -3.1224, -3.3083, -3.1844, -3.0914, -2.9984, -2.9364, -2.3165, -2.3475, -1.8517, -1.2938, -1.1078, -0.5499, -0.085, -0.147, -0.147, 0.5038, -0.426, -0.0231, 0.1009, -0.054, 0.1939, -0.0231, 0.0079, 0.0389, 0.3489, -0.085, 0.1009, 0.2869, 0.0699, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.6299999952316284, -0.5899999737739563, -0.6800000071525574, -0.7200000286102295, -0.7799999713897705, -0.8199999928474426, -0.8899999856948853, -0.9800000190734863, -1.0199999809265137, -1.0800000429153442, -1.0399999618530273, -1.0099999904632568, -0.9800000190734863, -0.9599999785423279, -0.7599999904632568, -0.7... | T | T |
10,025 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | F | F |
1,001 | classification | Classify the given time series into one of the categories below.
Respond ONLY with the letter of the correct choice (A, B).
Choices:
A: normal process
B: abnormal process
| multiple_choices | [1.0484, 1.0484, 1.0299, 1.0484, 1.0299, 1.0299, 1.0484, 1.0299, 1.0484, 1.0484, 1.0484, 1.0299, 1.0484, 1.0299, 1.0299, 1.0484, 1.0484, 1.0299, 1.0484, -0.3968, 0.0664, 0.3258, 0.4185, 0.4741, 0.5111, 0.5296, 0.5296, 0.5482, 0.5667, 0.5667, 0.5852, 0.5852, 1.067, 1.0484, 1.0484, 1.0484, 1.0484, 1.0484, 1.0484, 1.0484,... | This time series comes from a dataset capturing process control measurements recorded by individual sensors during the fabrication of silicon wafers in semiconductor manufacturing, providing data for monitoring and classifying normal and abnormal production processes. | B | manufacturing | UCR_Classification_Wafer | [1.0449899435043335, 1.0449899435043335, 1.0265226364135742, 1.0449899435043335, 1.0265226364135742, 1.0265226364135742, 1.0449899435043335, 1.0265226364135742, 1.0449899435043335, 1.0449899435043335, 1.0449899435043335, 1.0265226364135742, 1.0449899435043335, 1.0265226364135742, 1.0265226364135742, 1.0449899435043335,... | B | B |
10,078 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-2.7881, -1.2688, -1.0271, -0.6128, -0.1984, 0.0778, -0.302, 0.285, -0.8545, 2.046, -1.2343, 1.8733, -1.2688, 0.1469, 0.941, -1.0271, 0.872, -1.0962, -0.302, 1.2518, -0.2675, 0.7339, -0.6128, 1.7007, -1.0962, 1.2173, -0.4401, 0.2159, 3.6343, -1.8558, 2.9782, 0.5267, 1.1827, -0.4401, -0.958, -0.8545, -2.6845, 0.2505, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.8199999928474426, -0.3799999952316284, -0.3100000023841858, -0.1899999976158142, -0.07000000029802322, 0.009999999776482582, -0.10000000149011612, 0.07000000029802322, -0.25999999046325684, 0.5799999833106995, -0.3700000047683716, 0.5299999713897705, -0.3799999952316284, 0.029999999329447746, 0.25999999046325684, -... | T | T |
10,069 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.064, -0.0407, -0.0174, 0.0059, 0.0525, 0.0059, 0.0525, 0.0292, 0.0991, 0.0525, 0.0758, 0.0525, 0.0525, 0.0525, 0.0525, 0.0292, -0.0174, -0.0174, -0.1105, -0.1105, -0.1105, -0.1338, -0.1804, -0.1571, -0.2037, -0.1338, -0.1804, -0.1105, -0.1105, -0.064, -0.0872, -0.0872, -0.0407, -0.064, -0.0407, -0.0407, -0.0407, -0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.03999999910593033, -0.029999999329447746, -0.019999999552965164, -0.009999999776482582, 0.009999999776482582, -0.009999999776482582, 0.009999999776482582, 0.0, 0.029999999329447746, 0.009999999776482582, 0.019999999552965164, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.... | T | T |
10,022 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.3061, -0.0239, 0.0685, 0.1053, -0.6369, -0.3585, 3.1751, -0.6369, -0.5824, -0.6369, 0.3122, -0.2086, -0.0801, 0.1934, -0.2319, 0.3126, -0.6369, -0.6369, -0.3759, -0.0642, -0.0298, 0.3846, 0.1425, 2.8213, 0.3246, 2.8459, -0.6369, -0.0298, -0.6369, -0.1015, 0.3847, -0.6369, -0.6369, -0.3475, 0.7246, -0.3772, -0.6369, ... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.453608, 0.143124, 0.164701, 0.173272, 0.0, 0.065013, 0.88994, 0.0, 0.012728, 0.0, 0.221592, 0.1, 0.13, 0.193851, 0.094565, 0.22167, 0.0, 0.0, 0.060936, 0.133709, 0.141747, 0.238485, 0.181976, 0.807339, 0.22449, 0.813084, 0.0, 0.141747, 0.0, 0.125, 0.238517, 0.0, 0.0, 0.067568, 0.317855, 0.060646, 0.0, 0.0] | T | T |
10,031 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1258, 0.2458, 0.1018, 0.1498, 0.0299, 0.0779, 0.0299, 0.1258, 0.1498, 0.1738, 0.1258, 0.0539, 0.0539, 0.1258, 0.1498, 0.1018, 0.1018, 0.1258, 0.0779, 0.0779, 0.1738, 0.1258, 0.0779, 0.1738, 0.0539, 0.1498, 0.0299, 0.1498, 0.0539, -0.21, -0.3779, -0.6898, -0.9297, -0.8098, -0.282, 1.973, 4.5639, 7.2747, 7.8265, 7.850... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.03999999910593033, 0.09000000357627869, 0.029999999329447746, 0.05000000074505806, 0.0, 0.019999999552965164, 0.0, 0.03999999910593033, 0.05000000074505806, 0.05999999865889549, 0.03999999910593033, 0.009999999776482582, 0.009999999776482582, 0.03999999910593033, 0.05000000074505806, 0.029999999329447746, 0.02999999... | T | T |
10,116 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0779, 0.1018, 0.1018, 0.1018, 0.1498, 0.1498, 0.1498, 0.1738, 0.1258, 0.1018, 0.1018, 0.1258, 0.1258, 0.1018, 0.1258, 0.1018, 0.1018, 0.1018, 0.1498, 0.1258, 0.1018, 0.1498, 0.1018, 0.1018, 0.1498, 0.1018, 0.1498, 0.1258, 0.1018, 0.1018, 0.1258, 0.0779, 0.1018, 0.0299, 0.0779, 0.0539, 0.0539, 0.0299, 0.0539, 0.0059,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.019999999552965164, 0.029999999329447746, 0.029999999329447746, 0.029999999329447746, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05999999865889549, 0.03999999910593033, 0.029999999329447746, 0.029999999329447746, 0.03999999910593033, 0.03999999910593033, 0.029999999329447746, 0.0399999991059303... | T | T |
10,013 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1086, 0.0751, 0.0417, 0.0417, 0.0082, 0.0082, -0.0587, 0.0082, -0.0253, -0.0253, 0.0082, 0.0751, 0.2425, 0.1756, 0.3764, 0.5772, 0.5438, 0.4768, 0.209, -0.0253, -0.2261, -0.0587, -0.1257, -0.1257, -0.1592, -0.2261, -0.1926, -0.1926, 0.1086, 0.9454, 2.4182, -2.9374, -5.18, -4.1424, -3.4729, -1.5985, -0.3265, -0.1926,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.019999999552965164, 0.009999999776482582, 0.0, 0.0, -0.009999999776482582, -0.009999999776482582, -0.029999999329447746, -0.009999999776482582, -0.019999999552965164, -0.019999999552965164, -0.009999999776482582, 0.009999999776482582, 0.05999999865889549, 0.03999999910593033, 0.10000000149011612, 0.1599999964237213,... | T | T |
10,060 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1555, 0.1851, 0.2739, 0.2443, 0.3924, 0.1851, 0.5701, 0.4812, 0.2739, 0.1851, -0.0222, -0.1406, -0.0518, 0.0074, -0.0814, -0.1406, -0.111, -0.1406, -0.111, 0.0667, -0.0518, 1.3992, -0.6736, -1.5028, -1.5916, -1.7693, -1.5028, -0.4367, -0.2591, -0.1702, -0.1702, -0.111, -0.111, -0.1702, -0.0518, -0.111, -0.0222, -0.0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.03999999910593033, 0.05000000074505806, 0.07999999821186066, 0.07000000029802322, 0.11999999731779099, 0.05000000074505806, 0.18000000715255737, 0.15000000596046448, 0.07999999821186066, 0.05000000074505806, -0.019999999552965164, -0.05999999865889549, -0.029999999329447746, -0.009999999776482582, -0.039999999105930... | T | T |
10,007 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0309, 0.0943, -0.0309, 0.0943, 0.0943, 0.0525, 0.0943, 0.136, 0.136, 0.136, 0.1777, 0.0943, 0.0108, 0.0525, 0.0943, 0.0525, 0.0525, 0.0525, 0.0108, 0.0108, 0.0108, -0.0309, 0.0943, -0.0309, 0.0525, 0.0525, 0.136, 0.0525, 0.0525, 0.136, 0.136, 0.0943, 0.136, 0.0943, 0.2194, 0.2194, 0.4698, 0.3864, 0.5533, 0.6367, 0.... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.019999999552965164, 0.009999999776482582, -0.019999999552965164, 0.009999999776482582, 0.009999999776482582, 0.0, 0.009999999776482582, 0.019999999552965164, 0.019999999552965164, 0.019999999552965164, 0.029999999329447746, 0.009999999776482582, -0.009999999776482582, 0.0, 0.009999999776482582, 0.0, 0.0, 0.0, -0.00... | T | T |
10,093 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.8473, 0.8744, 1.0099, 1.0641, 1.1725, 1.2809, 1.4435, 1.5248, 1.579, 1.6603, 1.6332, 1.5519, 1.3893, 1.1183, 0.7931, 0.4679, 0.2511, 0.1426, 0.0613, 0.0342, 0.0071, 0.0613, 0.0342, 0.0613, 0.0613, 0.0884, 0.0884, 0.0884, 0.0884, 0.1426, 0.1155, 0.1697, 0.1697, 0.1697, 0.1697, 0.1426, 0.1697, 0.1155, -0.1284, -0.2639... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.30000001192092896, 0.3100000023841858, 0.36000001430511475, 0.3799999952316284, 0.41999998688697815, 0.46000000834465027, 0.5199999809265137, 0.550000011920929, 0.5699999928474426, 0.6000000238418579, 0.5899999737739563, 0.5600000023841858, 0.5, 0.4000000059604645, 0.2800000011920929, 0.1599999964237213, 0.079999998... | T | T |
10,054 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5446, -0.5963, -0.5446, -0.5446, -0.5608, -0.5661, -0.593, -0.5446, -0.55... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.0036945780739188194, 0.003694578073918819... | T | T |
10,081 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | F | F |
10,058 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.5853, 1.592, 1.6121, 1.632, 1.6164, 1.5997, 1.5882, 1.6681, 1.6371, 1.618, 1.6246, 1.6246, 1.6246, 1.6246, 1.632, 1.634, 1.6227, 1.6286, 1.6286, 1.6286, 1.6352, 1.6795, 1.6743, 1.6648, 1.6922, 1.7168, 1.6831, 1.7041, 1.6663, 1.6845, 1.7248, 1.7248, 1.7175, 1.7004, 1.7131, 1.6809, 1.6955, 1.6865, 1.5972, 1.6362, 1.66... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [0.004994789604097605, 0.004998879507184029, 0.0050111492164433, 0.005023267585784197, 0.005013745743781328, 0.005003544967621565, 0.004996538162231445, 0.0050453245639801025, 0.00502636656165123, 0.0050147599540650845, 0.005018734838813543, 0.005018734838813543, 0.005018734838813543, 0.005018734838813543, 0.0050232522... | T | T |
10 | classification | Classify the given time series into one of the categories below.
Respond ONLY with the letter of the correct choice (A, B).
Choices:
A: correct
B: incorrect
| multiple_choices | [-0.7903, -0.6592, -0.47, -0.1552, 0.1357, 0.3235, 0.658, 0.8642, 1.0232, 1.1357, 1.2785, 1.3798, 1.3878, 1.4469, 1.3066, 1.0705, 0.8806, 0.5877, 0.3376, 0.0221, -0.3144, -0.5505, -0.5531, -0.6577, -0.8271, -0.6805, -0.448, -0.1786, 0.1411, 0.4664, 0.8023, 1.136, 1.4705, 1.604, 1.6076, 1.365, 1.3011, 1.3537, 1.3306, 1.... | This time series comes from a dataset capturing hand and finger bone outlines extracted from medical images to support classification and prediction tasks related to bone outline detection accuracy, subject age group estimation, and Tanner-Whitehouse developmental scoring for pediatric bone age assessment. | A | healthcare | UCR_Classification_PhalangesOutlinesCorrect | [-0.7853870987892151, -0.6550606489181519, -0.4670798182487488, -0.1542387753725052, 0.1348385363817215, 0.32143840193748474, 0.6539003252983093, 0.8587976694107056, 1.0167429447174072, 1.1285418272018433, 1.2704912424087524, 1.3711273670196533, 1.3791253566741943, 1.4378730058670044, 1.2983977794647217, 1.063752651214... | A | A |
10,079 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0527, 0.0759, 0.1456, 0.1921, 0.1689, 0.2618, 0.2618, 0.2618, 0.3315, 0.4245, 0.4245, 0.4942, 0.5639, 0.6104, 0.6801, 0.7033, 0.7731, 0.7731, 0.7266, 0.7033, 0.5407, 0.3548, 0.2386, 0.0991, 0.0294, -0.017, -0.017, 0.0062, 0.0062, 0.0062, 0.0527, 0.0294, 0.0527, 0.0759, 0.0991, 0.0759, 0.0759, 0.1224, 0.0759, 0.1224,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.009999999776482582, 0.019999999552965164, 0.05000000074505806, 0.07000000029802322, 0.05999999865889549, 0.10000000149011612, 0.10000000149011612, 0.10000000149011612, 0.12999999523162842, 0.17000000178813934, 0.17000000178813934, 0.20000000298023224, 0.23000000417232513, 0.25, 0.2800000011920929, 0.2899999916553497... | T | T |
10,010 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.3992, 0.4459, 0.5142, 0.5643, 0.6086, 0.6443, 0.5595, 0.3741, 0.1493, -0.0076, -0.2196, -0.3947, -0.53, -0.6127, -0.6126, -0.6676, -0.6032, -0.5885, -0.5934, -0.5767, -0.5772, -0.6487, -0.7082, -0.7548, -0.7761, -0.7824, -0.7138, -0.5498, -0.2727, 0.0104, 0.2595, 0.4458, 0.6951, 0.8496, 0.9842, 1.165, 1.2881, 1.4029... | This is a Mackey-Glass time series with non-trivial anomalies. Mackey-Glass time series exhibit chaotic behavior that is difficult for the human eye to distinguish. | F | biomedical | MGAB | [1.0885361433029175, 1.1034706830978394, 1.1252955198287964, 1.1413054466247559, 1.155451774597168, 1.1668617725372314, 1.1397490501403809, 1.0805296897888184, 1.0087089538574219, 0.9585782289505005, 0.890830397605896, 0.8349044322967529, 0.7916620373725891, 0.7652381062507629, 0.7652859687805176, 0.7477095723152161, 0... | T | T |
10,102 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0868, -0.0237, -0.0237, 0.0078, 0.0709, 0.0709, 0.1025, 0.134, 0.1971, 0.1971, 0.3233, 0.3864, 0.418, 0.4495, 0.481, 0.5757, 0.6072, 0.5757, 0.5441, 0.5126, 0.481, 0.3864, 0.2602, 0.134, 0.0394, -0.0552, 0.0078, -0.0237, 0.0078, 0.0394, 0.0394, 0.0709, 0.1025, 0.0709, 0.1025, 0.1025, 0.1025, 0.134, 0.1656, 0.1971, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.03999999910593033, -0.019999999552965164, -0.019999999552965164, -0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.019999999552965164, 0.029999999329447746, 0.05000000074505806, 0.05000000074505806, 0.09000000357627869, 0.10999999940395355, 0.11999999731779099, 0.12999999523162842, 0.140000000596... | T | T |
10,051 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [2.1104, 2.1296, 2.0513, 2.0911, 2.0154, 2.0231, 1.9469, 2.0975, 2.0975, 2.0205, 2.0744, 2.0744, 2.0873, 2.0744, 2.1014, 2.1014, 2.101, 2.0462, 2.0462, 2.0462, 2.0231, 2.0231, 2.05, 2.0513, 2.0, 2.0, 2.0192, 2.0, 2.0, 1.9987, 2.0256, 2.0256, 2.0, 1.9486, 1.9486, 1.9486, 1.9486, 1.9358, 1.9486, 1.9058, 1.9743, 1.955, 1.... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [530.5, 534.25, 519.0, 526.75, 512.0, 513.5, 498.6666564941406, 528.0, 528.0, 513.0, 523.5, 523.5, 526.0, 523.5, 528.75, 528.75, 528.6666870117188, 518.0, 518.0, 518.0, 513.5, 513.5, 518.75, 519.0, 509.0, 509.0, 512.75, 509.0, 509.0, 508.75, 514.0, 514.0, 509.0, 499.0, 499.0, 499.0, 499.0, 496.5, 499.0, 490.66665649414... | T | T |
10,032 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6369, -0.6366, -0.6351, -0.6369, -0.6369, 1.0019, -0.4728, -0.6369, -0.6369, -0.6369, -0.6369, -0.1351, -0.6369, -0.4995, -0.5921, -0.5817, -0.6369, -0.6369, -0.6313, -0.6312, -0.6179, -0.621, -0.5945, -0.5664, -0.6228, -0.5664, -0.6369, -0.5958, -0.6369, 0.4339, -0.5849, -0.6369, -0.6369, -0.499, -0.448, -0.4637, ... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.0, 8.5e-05, 0.000432, 0.0, 0.0, 0.382602, 0.038316, 0.0, 0.0, 0.0, 0.0, 0.117155, 0.0, 0.032083, 0.010464, 0.012897, 0.0, 0.0, 0.001328, 0.001335, 0.004444, 0.003723, 0.009901, 0.016471, 0.0033, 0.016465, 0.0, 0.009611, 0.0, 0.25, 0.012147, 0.0, 0.0, 0.0322, 0.044118, 0.040441, 0.0, 0.0] | T | T |
10,088 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-3.2093, -3.5072, -3.805, -3.9242, -4.0433, -3.954, -3.7157, -3.2987, -2.9114, -2.3753, -1.8689, -1.3328, -0.9157, -0.5285, -0.2604, -0.1413, -0.0519, 0.0076, -0.0221, -0.0221, 0.0076, 0.0374, 0.0672, 0.0374, 0.097, 0.097, 0.1268, 0.1268, 0.1268, 0.1268, 0.1268, 0.1268, 0.1268, 0.097, 0.0672, 0.0672, 0.0672, 0.0076, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-1.090000033378601, -1.190000057220459, -1.2899999618530273, -1.3300000429153442, -1.3700000047683716, -1.340000033378601, -1.2599999904632568, -1.1200000047683716, -0.9900000095367432, -0.8100000023841858, -0.6399999856948853, -0.46000000834465027, -0.3199999928474426, -0.1899999976158142, -0.10000000149011612, -0.05... | T | T |
10,115 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.4545, 0.5961, 0.5017, 0.5725, 0.903, 0.5961, 0.4781, 0.6197, 0.1476, 0.242, 0.2656, 0.2892, 0.124, 0.5017, 0.1948, 0.124, 0.2184, 0.7377, 1.021, 0.3837, -3.2278, -3.2042, -1.7643, -0.9854, -0.4425, 0.1948, 0.1712, 0.2656, 0.2656, 0.3601, 0.3128, 0.4309, 0.3837, 0.4073, 0.4309, 0.3365, 0.4781, 0.3837, 0.4545, 0.5017,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.18000000715255737, 0.23999999463558197, 0.20000000298023224, 0.23000000417232513, 0.3700000047683716, 0.23999999463558197, 0.1899999976158142, 0.25, 0.05000000074505806, 0.09000000357627869, 0.10000000149011612, 0.10999999940395355, 0.03999999910593033, 0.20000000298023224, 0.07000000029802322, 0.03999999910593033, ... | T | T |
10,076 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0425, 0.1109, 0.1109, 0.0767, 0.1451, 0.1451, 0.1792, 0.2476, 0.2476, 0.2134, 0.2476, 0.2818, 0.316, 0.4185, 0.4527, 0.5211, 0.5895, 0.6237, 0.7262, 0.7262, 0.7604, 0.7604, 0.7262, 0.4869, 0.2818, 0.1109, -0.0259, -0.0943, -0.0943, -0.0601, -0.0259, 0.0083, 0.0425, 0.0425, 0.1109, 0.0425, 0.1451, 0.1451, 0.1451, 0.1... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.0, 0.019999999552965164, 0.019999999552965164, 0.009999999776482582, 0.029999999329447746, 0.029999999329447746, 0.03999999910593033, 0.05999999865889549, 0.05999999865889549, 0.05000000074505806, 0.05999999865889549, 0.07000000029802322, 0.07999999821186066, 0.10999999940395355, 0.11999999731779099, 0.1400000005960... | T | T |
10,067 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.527, 1.5126, 1.5126, 1.491, 1.4693, 1.4874, 1.4934, 1.5234, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5234, 1.5414, 1.5174, 1.5414, 1.4874, 1.4693, 1.5054, 1.5174, 1.5234, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1.5414, 1... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [441.0, 438.0, 438.0, 433.5, 429.0, 432.75, 434.0, 440.25, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 440.25, 444.0, 439.0, 444.0, 432.75, 429.0, 436.5, 439.0, 440.25, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 444.0, 440.25... | T | T |
10,096 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.097, 0.097, 0.0672, 0.1864, 0.1566, 0.097, 0.1864, 0.1566, 0.1864, 0.0374, 0.0672, 0.0374, -0.0519, -0.0519, -0.0817, -0.1115, -0.1115, 0.0076, 0.0374, 0.0672, 0.097, 0.1864, 0.097, 0.097, 0.1864, 0.1864, 0.1268, 0.1268, 0.1268, 0.1268, 0.1566, 0.1566, 0.1268, 0.1566, 0.1268, 0.1268, 0.1566, 0.1864, 0.1268, 0.1864, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.019999999552965164, 0.019999999552965164, 0.009999999776482582, 0.05000000074505806, 0.03999999910593033, 0.019999999552965164, 0.05000000074505806, 0.03999999910593033, 0.05000000074505806, 0.0, 0.009999999776482582, 0.0, -0.029999999329447746, -0.029999999329447746, -0.03999999910593033, -0.05000000074505806, -0.0... | T | T |
1,000 | classification | Classify the given time series into one of the categories below.
Respond ONLY with the letter of the correct choice (A, B).
Choices:
A: normal process
B: abnormal process
| multiple_choices | [-1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, 0.8459, 1.0416, 1.0343, 1.0379, 1.0416, 1.0343, 1.0379, 1.0416, 1.0343, 1.0379, 1.0343, 1.0379, 1.0379, 1.0343, -1.1364, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1.14, -1... | This time series comes from a dataset capturing process control measurements recorded by individual sensors during the fabrication of silicon wafers in semiconductor manufacturing, providing data for monitoring and classifying normal and abnormal production processes. | B | manufacturing | UCR_Classification_Wafer | [-1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809, -1.136220097541809,... | B | B |
10,120 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-2.3019, -3.3174, -2.902, -2.1173, -1.4018, -0.5016, -0.2708, -0.1554, -0.1323, -0.0631, -0.04, -0.0169, 0.0062, 0.0754, 0.0754, 0.1216, 0.1677, 0.2139, 0.2831, 0.3062, 0.3293, 0.4216, 0.4908, 0.537, 0.6293, 0.6755, 0.7217, 0.7678, 0.7447, 0.7447, 0.6986, 0.6293, 0.4908, 0.3754, 0.26, 0.1908, 0.1908, 0.1216, 0.0754, 0... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-1.0099999904632568, -1.4500000476837158, -1.2699999809265137, -0.9300000071525574, -0.6200000047683716, -0.23000000417232513, -0.12999999523162842, -0.07999999821186066, -0.07000000029802322, -0.03999999910593033, -0.029999999329447746, -0.019999999552965164, -0.009999999776482582, 0.019999999552965164, 0.01999999955... | T | T |
10,018 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.141, -0.2596, -0.1084, -0.0794, -0.6369, 0.7387, 0.4194, -0.6369, -0.6369, -0.6369, -0.4175, -0.6369, -0.6369, -0.5874, -0.6362, -0.5247, -0.6369, -0.6369, 0.5265, -0.3619, 0.4174, 0.074, -0.5908, 0.1606, 0.3079, -0.022, -0.6369, 0.4064, -0.6369, -0.0918, 0.0702, 0.4945, 0.077, -0.5598, 0.463, 0.4726, -0.6369, -0.6... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.115789, 0.088102, 0.123404, 0.13017, 0.0, 0.321149, 0.246618, 0.0, 0.0, 0.0, 0.051228, 0.0, 0.0, 0.011557, 0.000181, 0.02621, 0.0, 0.0, 0.271605, 0.064216, 0.246143, 0.165966, 0.010766, 0.186184, 0.220588, 0.143561, 0.0, 0.243579, 0.0, 0.127273, 0.165092, 0.264151, 0.166667, 0.018018, 0.256798, 0.259036, 0.0, 0.0] | T | T |
10,057 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.7137, 0.8138, 0.7637, 1.014, 0.964, 0.8638, 0.7137, 0.3133, 0.3133, 0.4134, 0.5635, 0.5135, 0.4634, 0.4634, 0.4134, 0.1131, 0.7137, 0.4634, 3.5667, -1.2884, -1.9391, -1.3385, -2.0392, -1.6388, 0.1631, 0.1131, 0.2132, 0.2632, 0.2632, 0.3133, 0.3133, 0.3133, 0.3133, 0.2632, 0.3133, 0.2632, 0.2632, 0.2132, 0.1631, 0.16... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.12999999523162842, 0.15000000596046448, 0.14000000059604645, 0.1899999976158142, 0.18000000715255737, 0.1599999964237213, 0.12999999523162842, 0.05000000074505806, 0.05000000074505806, 0.07000000029802322, 0.10000000149011612, 0.09000000357627869, 0.07999999821186066, 0.07999999821186066, 0.07000000029802322, 0.0099... | T | T |
10,121 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.4067, -0.5099, -0.4364, -0.4529, -0.6369, 3.1742, 0.5973, -0.6369, -0.5585, -0.6359, 0.1152, -0.2318, -0.5196, -0.3891, -0.2974, 0.1806, -0.6369, -0.6369, -0.4033, -0.4252, -0.4155, -0.4654, 2.106, -0.5999, -0.5703, -0.603, -0.6369, -0.4511, -0.6369, -0.5019, -0.477, -0.4937, -0.6353, -0.6368, -0.4527, -0.4525, -0.... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.053763, 0.029661, 0.046823, 0.042973, 0.0, 0.889744, 0.288136, 0.0, 0.018308, 0.000244, 0.175593, 0.094595, 0.027397, 0.057863, 0.079271, 0.190871, 0.0, 0.0, 0.054556, 0.049423, 0.051708, 0.040041, 0.64035, 0.008654, 0.015568, 0.007916, 0.0, 0.043382, 0.0, 0.031519, 0.037339, 0.033453, 0.000386, 3.4e-05, 0.043003, 0... | T | T |
10,053 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.2908, -0.6069, -0.564, -0.4717, 2.2939, 3.3217, 1.6414, -0.6369, -0.6369, -0.6369, -0.6369, -0.5252, -0.6369, -0.515, -0.6306, -0.5515, -0.6369, -0.6369, -0.1216, -0.247, -0.0852, -0.2168, 0.0164, -0.6025, -0.0755, -0.6369, -0.6369, -0.1944, -0.6369, -0.5477, -0.132, 0.1319, -0.6369, -0.6152, -0.152, -0.1195, -0.63... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.080808, 0.00702, 0.017022, 0.038569, 0.684211, 0.924163, 0.531889, 0.0, 0.0, 0.0, 0.0, 0.026087, 0.0, 0.028462, 0.001491, 0.01996, 0.0, 0.0, 0.120314, 0.091035, 0.128815, 0.098081, 0.152535, 0.008048, 0.131068, 0.0, 0.0, 0.103325, 0.0, 0.020833, 0.117892, 0.179487, 0.0, 0.005076, 0.113208, 0.120805, 0.0, 0.0] | T | T |
10,126 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0084, -0.0236, -0.0556, -0.0876, -0.1196, -0.0876, -0.0876, 0.0084, -0.0556, 0.0403, 0.0403, 0.1043, 0.0723, 0.2003, 0.2003, 0.1363, 0.2643, 0.2323, 0.2643, 0.2323, 0.3283, 0.2643, 0.2963, 0.2643, 0.2963, 0.2003, 0.2643, 0.2323, 0.2323, 0.1683, 0.2003, 0.2003, 0.1363, 0.1683, 0.2003, 0.2003, 0.1043, 0.2003, 0.1683, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.009999999776482582, -0.019999999552965164, -0.029999999329447746, -0.03999999910593033, -0.05000000074505806, -0.03999999910593033, -0.03999999910593033, -0.009999999776482582, -0.029999999329447746, 0.0, 0.0, 0.019999999552965164, 0.009999999776482582, 0.05000000074505806, 0.05000000074505806, 0.029999999329447746... | T | T |
10,024 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1177, -0.6103, -0.6098, -0.6089, 3.6465, 2.4801, 0.9821, -0.6369, -0.6362, -0.6369, -0.6369, -0.5819, -0.6369, -0.5983, -0.6236, -0.6329, -0.6369, -0.6369, 0.4278, 0.2132, 0.5488, 0.5263, 0.6481, -0.1623, 0.4963, -0.2828, -0.6369, 0.58, -0.6369, -0.127, 0.5897, 0.7485, -0.1015, 0.0439, 0.748, 0.7477, -0.6369, -0.63... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.121212, 0.00623, 0.006338, 0.006551, 1.0, 0.727698, 0.377977, 0.0, 0.000178, 0.0, 0.0, 0.012853, 0.0, 0.009013, 0.003107, 0.000945, 0.0, 0.0, 0.248581, 0.198474, 0.276829, 0.271555, 0.299991, 0.1108, 0.264561, 0.082667, 0.0, 0.284108, 0.0, 0.119048, 0.286358, 0.323445, 0.125, 0.15894, 0.323325, 0.323262, 0.0, 0.0] | T | T |
10,039 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.3246, -0.5975, -0.5783, -0.511, -0.6369, 0.6641, 1.0505, -0.6369, -0.6304, -0.6369, -0.6369, -0.5561, -0.6369, -0.6105, -0.5956, -0.5173, -0.6369, -0.6369, 0.1857, 0.0179, 0.8215, 0.6721, -0.4092, 0.1004, -0.1792, 0.0816, -0.6369, 0.757, -0.6369, -0.3606, 0.7336, -0.6369, -0.6369, -0.5549, -0.6369, -0.3692, -0.6369... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.072917, 0.009208, 0.013689, 0.029412, 0.0, 0.303734, 0.393945, 0.0, 0.001536, 0.0, 0.0, 0.018868, 0.0, 0.006182, 0.00966, 0.027923, 0.0, 0.0, 0.192043, 0.152869, 0.34048, 0.305594, 0.053177, 0.172139, 0.10687, 0.16775, 0.0, 0.325421, 0.0, 0.064516, 0.319953, 0.0, 0.0, 0.019157, 0.0, 0.0625, 0.0, 0.0] | T | T |
10,140 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5911, -0.5... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | F | F |
10,146 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | F | F |
10,040 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5045, -0.6318, -0.6304, -0.6285, 3.5439, 3.3639, 2.2362, -0.6369, -0.6062, -0.6369, -0.6369, -0.4456, -0.5937, -0.5506, -0.4906, -0.6277, -0.6369, -0.6369, 0.7551, 0.7996, 0.5544, 0.6933, 0.8306, 3.1321, 0.6908, 2.1873, -0.6369, 0.5547, -0.6369, -0.5489, 0.6933, 0.4688, -0.5373, -0.6074, 0.7004, 0.7004, -0.6369, -0... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.030928, 0.001193, 0.001525, 0.001977, 0.976048, 0.934013, 0.670743, 0.0, 0.007172, 4e-06, 0.0, 0.044681, 0.010101, 0.020167, 0.034172, 0.00217, 0.0, 0.0, 0.324992, 0.33538, 0.278126, 0.310555, 0.342606, 0.879911, 0.309961, 0.659336, 0.0, 0.278186, 0.0, 0.020548, 0.310563, 0.258134, 0.023256, 0.006905, 0.312207, 0.31... | T | T |
10,021 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.347, 1.3606, 1.3232, 1.221, 1.2916, 1.2311, 1.3142, 1.3082, 1.2474, 1.1796, 1.2743, 1.2703, 1.2323, 1.2409, 1.159, 1.1603, 1.1184, 1.1077, 1.1469, 1.0824, 1.124, 1.1064, 1.0424, 1.0424, 1.0424, 1.0424, 1.0064, 0.9824, 1.0034, 1.0454, 1.0496, 1.0328, 1.0328, 1.0454, 1.0454, 1.0564, 1.0824, 1.0824, 1.0824, 1.1124, 1.1... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [530.2000122070312, 533.5999755859375, 524.25, 498.6666564941406, 516.3333129882812, 501.20001220703125, 522.0, 520.5, 505.28570556640625, 488.3333435058594, 512.0, 511.0, 501.5, 503.6666564941406, 483.1666564941406, 483.5, 473.0, 470.3333435058594, 480.1428527832031, 464.0, 474.3999938964844, 470.0, 454.0, 454.0, 454.... | T | T |
10,014 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6369, -0.6359, -0.6326, -0.6269, -0.6369, 3.6342, -0.4197, -0.6369, -0.6369, -0.6369, -0.6369, -0.4667, -0.6369, -0.3225, -0.6069, -0.3012, -0.6369, -0.6369, -0.5768, -0.596, -0.4953, -0.5258, -0.4767, -0.5448, -0.5804, -0.5434, -0.6369, -0.3672, -0.6369, 0.4339, -0.2794, -0.5783, -0.6369, -0.522, 0.4812, 0.4812, -... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.0, 0.000255, 0.001008, 0.002355, 0.0, 0.997114, 0.050729, 0.0, 0.0, 0.0, 0.0, 0.039749, 0.0, 0.073409, 0.007015, 0.078373, 0.0, 0.0, 0.014037, 0.009563, 0.033062, 0.02594, 0.037404, 0.021513, 0.013201, 0.021841, 0.0, 0.062974, 0.0, 0.25, 0.083464, 0.013699, 0.0, 0.026834, 0.261029, 0.261029, 0.0, 0.0] | T | T |
10,074 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1, -0.1605, -0.0926, -0.0648, -0.6369, 3.306, 0.5448, -0.6369, -0.4923, -0.6364, 0.0766, -0.1739, -0.4609, -0.3048, -0.086, 0.144, -0.6369, -0.6369, 0.0798, 0.0977, 0.1136, -0.0246, 3.158, -0.5737, -0.3777, -0.5782, -0.6369, 0.0015, -0.6369, -0.5879, -0.0627, -0.2864, -0.6353, -0.6368, 0.0816, 0.0818, -0.6369, -0.63... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.172043, 0.111229, 0.12709, 0.133566, 0.0, 0.920513, 0.275895, 0.0, 0.033778, 0.000122, 0.166577, 0.108108, 0.041096, 0.077538, 0.128617, 0.182317, 0.0, 0.0, 0.16734, 0.171516, 0.175221, 0.142959, 0.885954, 0.014776, 0.060521, 0.013724, 0.0, 0.14906, 0.0, 0.011461, 0.134071, 0.081832, 0.000386, 3.4e-05, 0.167741, 0.1... | T | T |
10,101 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1678, -0.1678, -0.143, -0.1181, 0.2802, 0.7282, 1.0518, -2.8062, -3.9761, -2.8311, -2.2089, -1.0639, -0.0932, -0.0683, 0.0064, 0.106, 0.1806, 0.1308, 0.1557, 0.1806, 0.2055, 0.2055, 0.2802, 0.33, 0.33, 0.3549, 0.3549, 0.4295, 0.4793, 0.5291, 0.5291, 0.6287, 0.6287, 0.6535, 0.6784, 0.6784, 0.6038, 0.5789, 0.554, 0.4... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.07999999821186066, -0.07999999821186066, -0.07000000029802322, -0.05999999865889549, 0.10000000149011612, 0.2800000011920929, 0.4099999964237213, -1.1399999856948853, -1.6100000143051147, -1.149999976158142, -0.8999999761581421, -0.4399999976158142, -0.05000000074505806, -0.03999999910593033, -0.009999999776482582,... | T | T |
10,006 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1081, -0.436, -0.3826, -0.3653, -0.0317, 2.7551, 0.8389, -0.6369, -0.6206, -0.6369, -0.6369, -0.4429, -0.5941, -0.5667, -0.5003, -0.6131, -0.6369, -0.6369, 1.1476, 1.1853, 0.7784, 0.5434, -0.5156, 1.7664, -0.2137, -0.5949, -0.6369, 0.487, -0.6369, 0.7096, 0.3607, 0.1385, -0.6369, -0.4, -0.1006, -0.1021, -0.6369, -0... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.123457, 0.046916, 0.059385, 0.063426, 0.141304, 0.791897, 0.344554, 0.0, 0.003818, 0.0, 0.0, 0.04529, 0.01, 0.016406, 0.031903, 0.005567, 0.0, 0.0, 0.416608, 0.425402, 0.330428, 0.275556, 0.028329, 0.561078, 0.098798, 0.009819, 0.0, 0.262393, 0.0, 0.314367, 0.232895, 0.181034, 0.0, 0.055319, 0.125214, 0.124871, 0.0,... | T | T |
10,111 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6369, -0.6286, -0.6271, -0.6211, -0.6369, 3.6368, -0.4197, -0.6369, -0.6369, -0.6369, -0.6369, -0.3323, -0.6369, -0.4133, -0.5066, -0.297, -0.6369, -0.6369, -0.449, -0.5175, -0.2242, -0.2357, -0.472, -0.5333, 0.2678, -0.5463, -0.6369, 0.0759, -0.6369, 0.4339, 0.538, -0.5196, -0.161, -0.0699, 0.6386, 0.6386, -0.6369... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.0, 0.001956, 0.002305, 0.0037, 0.0, 0.997732, 0.050729, 0.0, 0.0, 0.0, 0.0, 0.07113, 0.0, 0.052202, 0.03044, 0.079365, 0.0, 0.0, 0.043878, 0.027889, 0.096369, 0.093671, 0.038504, 0.024202, 0.211221, 0.021169, 0.0, 0.166414, 0.0, 0.25, 0.274295, 0.027397, 0.111111, 0.132379, 0.297794, 0.297794, 0.0, 0.0] | T | T |
10,136 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.5655, 0.2744, 1.3714, 0.3192, 2.155, 0.3864, 0.4088, 2.7594, 2.8714, 4.3265, 4.2818, 4.4609, 4.8415, 5.3788, 4.9534, 2.6923, 0.5207, 0.0058, 0.073, -0.3076, -0.8225, -0.7778, -0.4196, -1.8524, -0.7106, -0.2852, -1.83, -1.5837, -1.4046, -1.5165, -1.9419, -2.3673, -2.4344, -2.5464, -2.6807, -2.5911, -3.4419, -2.8822, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.23999999463558197, 0.10999999940395355, 0.6000000238418579, 0.12999999523162842, 0.949999988079071, 0.1599999964237213, 0.17000000178813934, 1.2200000286102295, 1.2699999809265137, 1.9199999570846558, 1.899999976158142, 1.9800000190734863, 2.1500000953674316, 2.390000104904175, 2.200000047683716, 1.190000057220459, ... | T | T |
10,159 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0412, -0.112, -0.112, -0.112, -0.0412, -0.0176, 0.0532, 0.0532, 0.0532, 0.0768, 0.1476, 0.1004, 0.124, 0.1948, 0.1712, 0.1476, 0.124, 0.1476, 0.1712, 0.2184, 0.124, 0.1712, 0.1712, 0.2184, 0.2184, 0.242, 0.1948, 0.1476, -0.2537, 0.1712, 0.0296, 0.1004, -0.4661, -1.4339, -0.9854, 1.4695, 2.3192, 2.8385, 4.0659, 4.42... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.029999999329447746, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.029999999329447746, -0.019999999552965164, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.019999999552965164, 0.05000000074505806, 0.029999999329447746, 0.03999999910593033, 0.07000000029802322, 0.059999998... | T | T |
10,008 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.4019, 0.3087, 0.2155, 0.0292, -0.0174, 0.0059, -0.0174, 0.0525, 0.0059, 0.0525, -0.0174, 0.0758, 0.495, 0.6115, 1.4966, -2.8356, -3.8372, -2.3931, -2.1602, -0.7161, 0.0525, 0.0525, 0.1224, 0.1457, 0.169, 0.1922, 0.2388, 0.2621, 0.2854, 0.332, 0.3553, 0.3786, 0.4019, 0.4717, 0.495, 0.5183, 0.5416, 0.5882, 0.5882, 0.6... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.1599999964237213, 0.11999999731779099, 0.07999999821186066, 0.0, -0.019999999552965164, -0.009999999776482582, -0.019999999552965164, 0.009999999776482582, -0.009999999776482582, 0.009999999776482582, -0.019999999552965164, 0.019999999552965164, 0.20000000298023224, 0.25, 0.6299999952316284, -1.2300000190734863, -1.... | T | T |
10,144 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6756, -0.7626, -0.6901, -0.7481, -0.7191, -0.6611, -0.6901, -0.5597, -0.5452, -0.4437, -0.3423, -0.2843, -0.1394, -0.0525, 0.1214, 0.1649, 0.2808, 0.3098, 0.2084, 0.2518, 0.1214, 0.0924, 0.0345, -0.0235, -0.0235, -0.0525, 0.02, -0.0815, -0.009, -0.067, -0.009, 0.0055, -0.0525, 0.02, -0.038, -0.009, -0.0235, -0.038,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.49000000953674316, -0.550000011920929, -0.5, -0.5400000214576721, -0.5199999809265137, -0.47999998927116394, -0.5, -0.4099999964237213, -0.4000000059604645, -0.33000001311302185, -0.25999999046325684, -0.2199999988079071, -0.11999999731779099, -0.05999999865889549, 0.05999999865889549, 0.09000000357627869, 0.170000... | T | T |
10,086 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6369, -0.6351, -0.6351, -0.6355, -0.6369, -0.5336, -0.4659, -0.6369, -0.6369, -0.6369, -0.6369, -0.404, -0.6369, -0.3784, -0.611, -0.5732, -0.6369, -0.6369, -0.4194, -0.4329, -0.1657, -0.1333, -0.571, -0.5621, 0.4233, -0.5621, -0.6369, 0.1647, -0.6369, 0.4339, 0.6471, -0.6369, -0.6369, -0.5067, 0.119, 0.119, -0.636... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.0, 0.000425, 0.000432, 0.000336, 0.0, 0.024119, 0.039935, 0.0, 0.0, 0.0, 0.0, 0.054393, 0.0, 0.060359, 0.006064, 0.014881, 0.0, 0.0, 0.050796, 0.047634, 0.110027, 0.117569, 0.015402, 0.017479, 0.247525, 0.017473, 0.0, 0.187152, 0.0, 0.25, 0.299765, 0.0, 0.0, 0.030411, 0.176471, 0.176471, 0.0, 0.0] | T | T |
10,160 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1121, -0.183, -0.254, -0.2776, -0.2303, -0.2067, -0.1594, -0.1121, -0.0649, -0.1121, -0.0649, -0.0176, 0.0061, -0.0176, 0.0061, 0.0061, 0.0061, 0.0297, 0.0061, 0.0533, -0.0176, -0.2067, -0.2303, -0.1121, -0.1121, -0.7031, -1.3177, -1.6487, -0.2776, 0.9044, 2.0154, 2.4173, 3.1501, 3.481, 4.2375, 3.1737, 2.1336, 0.19... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.05999999865889549, -0.09000000357627869, -0.11999999731779099, -0.12999999523162842, -0.10999999940395355, -0.10000000149011612, -0.07999999821186066, -0.05999999865889549, -0.03999999910593033, -0.05999999865889549, -0.03999999910593033, -0.019999999552965164, -0.009999999776482582, -0.019999999552965164, -0.00999... | T | T |
10,131 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0422, -0.0664, -0.0664, -0.0422, 0.0548, 0.079, 0.0305, 0.1759, 0.2487, 0.2729, 0.1275, 0.0063, -0.1876, -0.333, -0.3088, -0.2603, -0.2118, -0.2603, -0.2845, -0.2118, -0.2845, 0.2487, 0.7091, 1.6785, -3.2412, -4.5499, -3.4351, -2.8777, -1.1812, -0.2118, -0.1149, -0.0664, -0.0179, 0.0305, 0.1032, 0.1517, 0.1759, 0.2... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.029999999329447746, -0.03999999910593033, -0.03999999910593033, -0.029999999329447746, 0.009999999776482582, 0.019999999552965164, 0.0, 0.05999999865889549, 0.09000000357627869, 0.10000000149011612, 0.03999999910593033, -0.009999999776482582, -0.09000000357627869, -0.15000000596046448, -0.14000000059604645, -0.1199... | T | T |
10,041 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.4254, -0.5472, -0.5551, -0.5398, 2.7619, 2.9839, 0.717, -0.6369, -0.6175, -0.6369, -0.6369, -0.28, -0.5941, -0.5647, -0.4761, -0.5349, -0.6369, -0.6369, 0.1131, 0.1937, 0.0262, -0.0719, -0.0259, 1.5268, -0.1578, 1.4284, -0.6369, -0.0702, -0.6369, -0.2835, -0.0898, 0.1847, -0.6369, -0.3818, -0.08, -0.0815, -0.6369, ... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.049383, 0.02095, 0.019103, 0.022685, 0.793478, 0.845304, 0.316092, 0.0, 0.004549, 0.0, 0.0, 0.083333, 0.01, 0.016878, 0.037545, 0.023815, 0.0, 0.0, 0.1751, 0.193922, 0.154805, 0.131914, 0.142643, 0.505141, 0.111866, 0.482171, 0.0, 0.132307, 0.0, 0.082504, 0.127732, 0.19181, 0.0, 0.059574, 0.130017, 0.129674, 0.0, 0.... | T | T |
10,075 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.4603, -0.6333, -0.6327, -0.6288, 3.5439, 3.1617, 2.5263, -0.6369, -0.5856, -0.6369, -0.6369, -0.3909, -0.5504, -0.5447, -0.3911, -0.6246, -0.6369, -0.6369, 1.0392, 1.0431, 0.8258, 0.9406, 1.0757, 3.2017, 0.8634, 2.3378, -0.6369, 0.825, -0.6369, -0.5489, 0.9387, 0.8776, 0.0604, -0.2654, 1.0085, 1.0085, -0.6369, -0.6... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.041237, 0.000859, 0.000989, 0.001906, 0.976048, 0.886811, 0.738476, 0.0, 0.011992, 0.0, 0.0, 0.057447, 0.020202, 0.021539, 0.057394, 0.002888, 0.0, 0.0, 0.391314, 0.392206, 0.341494, 0.368288, 0.399836, 0.896157, 0.350262, 0.69448, 0.0, 0.341301, 0.0, 0.020548, 0.367836, 0.353579, 0.162791, 0.08675, 0.384148, 0.3841... | T | T |
10,149 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1437, 0.1437, 0.0995, 0.0112, 0.0995, 0.0112, -0.033, 0.0112, -0.0772, -0.033, -0.0772, -0.033, 0.0112, 0.0112, 0.0112, 0.0112, -0.0772, 0.0553, 0.0553, 0.0553, 0.0112, -0.033, -0.033, 0.0112, 0.0553, -0.0772, 0.0112, -0.0772, 0.0112, 0.0553, 0.0553, 0.0553, 0.0553, 0.3205, 0.1879, 0.453, 0.3205, 0.7623, 0.3205, 0.3... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.019999999552965164, 0.019999999552965164, 0.009999999776482582, -0.009999999776482582, 0.009999999776482582, -0.009999999776482582, -0.019999999552965164, -0.009999999776482582, -0.029999999329447746, -0.019999999552965164, -0.029999999329447746, -0.019999999552965164, -0.009999999776482582, -0.009999999776482582, -... | T | T |
10,128 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.2685, -0.3148, -0.2884, -0.2439, -0.6369, 3.2511, 0.5529, -0.6369, -0.5451, -0.6364, -0.048, -0.3475, -0.5783, -0.4317, -0.2091, 0.0203, -0.6369, -0.6369, -0.1229, -0.2227, -0.2318, -0.3203, 3.2047, -0.5783, -0.5171, -0.583, -0.6369, -0.2962, -0.6369, -0.6063, -0.3413, -0.4628, -0.6369, -0.6369, -0.2946, -0.2943, -... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.086022, 0.075212, 0.081382, 0.091754, 0.0, 0.907692, 0.277778, 0.0, 0.021431, 0.000122, 0.137485, 0.067568, 0.013699, 0.047922, 0.099881, 0.153439, 0.0, 0.0, 0.120016, 0.096697, 0.094593, 0.073916, 0.896864, 0.013686, 0.027987, 0.012597, 0.0, 0.079554, 0.0, 0.007163, 0.069028, 0.040659, 0.0, 2.2e-05, 0.079925, 0.079... | T | T |
10,001 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.1908, -0.6107, -0.445, -0.4303, -0.6369, 3.6044, 3.5896, -0.6369, 0.1761, -0.6337, -0.4978, -0.1739, -0.3371, 1.0199, 0.2881, -0.5703, -0.6369, -0.6369, 0.3954, 0.7462, 0.4889, 0.5167, 2.4775, 0.128, 0.5385, 0.6481, -0.6369, 0.4942, -0.6369, 0.4339, 0.5222, 0.3366, -0.6369, -0.5894, 0.2717, 0.2717, -0.6369, -0.6369... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.104167, 0.006135, 0.044818, 0.048246, 0.0, 0.990155, 0.986721, 0.0, 0.189821, 0.000755, 0.032485, 0.108108, 0.07, 0.386791, 0.215953, 0.015564, 0.0, 0.0, 0.241001, 0.322892, 0.262833, 0.269333, 0.727073, 0.178571, 0.274419, 0.3, 0.0, 0.264069, 0.0, 0.25, 0.270611, 0.227273, 0.0, 0.011111, 0.212121, 0.212121, 0.0, 0.... | T | T |
10,063 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-1.1882, -1.1882, -1.701, -1.9061, -2.3164, -2.6924, -2.8975, -3.0685, -3.2736, -3.5813, -3.8547, -4.1966, -4.641, -5.0513, -5.5299, -6.0769, -6.4529, -6.8289, -7.0341, -6.9999, -6.6922, -6.1794, -5.3248, -4.3334, -3.3078, -2.3164, -1.5643, -1.0173, -0.6412, -0.4361, -0.3336, -0.2652, -0.1968, -0.1968, -0.1968, -0.128... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [-0.36000001430511475, -0.36000001430511475, -0.5099999904632568, -0.5699999928474426, -0.6899999976158142, -0.800000011920929, -0.8600000143051147, -0.9100000262260437, -0.9700000286102295, -1.059999942779541, -1.1399999856948853, -1.2400000095367432, -1.3700000047683716, -1.4900000095367432, -1.6299999952316284, -1.7... | T | T |
10,066 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5898, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [4.666666507720947, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... | F | T |
10,139 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.149, -0.0695, 0.0498, -0.0297, 0.0896, 0.1294, 0.0498, 0.0896, 0.2884, 0.2089, -0.0297, 0.4077, 0.2487, 0.1691, 0.2884, 0.3282, 0.1294, 0.1294, -0.149, 0.1691, -0.0695, -0.2285, -0.308, -0.2683, -0.3478, -0.4273, -0.149, -0.0695, 0.0101, -0.149, 0.4077, 0.0896, 0.1691, 0.2089, 0.2089, 0.2487, 0.1294, 0.0896, 0.368,... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.05000000074505806, -0.029999999329447746, 0.0, -0.019999999552965164, 0.009999999776482582, 0.019999999552965164, 0.0, 0.009999999776482582, 0.05999999865889549, 0.03999999910593033, -0.019999999552965164, 0.09000000357627869, 0.05000000074505806, 0.029999999329447746, 0.05999999865889549, 0.07000000029802322, 0.01... | T | T |
10,135 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | T | T |
10,004 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.4585, -0.5703, -0.5627, -0.5787, -0.6369, 2.2011, 1.719, -0.6369, -0.4747, -0.634, -0.1192, -0.2762, -0.5084, -0.2845, 0.0723, -0.1122, -0.6369, -0.6369, -0.628, -0.6267, -0.6177, -0.6132, -0.5488, 0.0359, -0.6369, 0.0373, -0.6369, -0.6177, -0.6369, -0.6369, -0.6132, -0.6349, -0.6369, -0.518, 1.9943, 1.9704, -0.636... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.041667, 0.01555, 0.017333, 0.013595, 0.0, 0.662551, 0.55, 0.0, 0.037885, 0.00068, 0.120872, 0.084211, 0.03, 0.082278, 0.165569, 0.122513, 0.0, 0.0, 0.002082, 0.002398, 0.0045, 0.005538, 0.020581, 0.157087, 0.0, 0.157417, 0.0, 0.004501, 0.0, 0.0, 0.005538, 0.000489, 0.0, 0.027778, 0.614286, 0.608696, 0.0, 0.0] | T | T |
10,003 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5474, -0.5331, -0.5522, -0.549, -0.5522, -0.5538, -0.5522, -0.5522, -0.5553, -0.549, -0.5522, -0.5601, -0.5522, -0.549, -0.5617, -0.5575, -0.5331, -0.5331, -0.5235, -0.5553, -0.5697, -0.5522, -0.5394, -0.5553, -0.5744, -0.5585, -0.5511, -0.5641, -0.5511, -0.5601, -0.5617, -0.5506, -0.5538, -0.5553, -0.549, -0.5649,... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | T | environmental sensing | Occupancy | [434.5, 439.0, 433.0, 434.0, 433.0, 432.5, 433.0, 433.0, 432.0, 434.0, 433.0, 430.5, 433.0, 434.0, 430.0, 431.3333435058594, 439.0, 439.0, 442.0, 432.0, 427.5, 433.0, 437.0, 432.0, 426.0, 431.0, 433.3333435058594, 429.25, 433.3333435058594, 430.5, 430.0, 433.5, 432.5, 432.0, 434.0, 429.0, 438.0, 439.0, 433.0, 433.5, 43... | T | T |
10,065 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5923, -0.5703, -0.5627, -0.5852, -0.6369, 1.2668, 0.9337, -0.6369, -0.6248, -0.6369, -0.3016, -0.5017, -0.5941, -0.3667, -0.5745, -0.2958, -0.6369, -0.6369, -0.6267, -0.6254, -0.6174, -0.6123, -0.253, 0.0209, -0.6369, 0.0214, -0.6369, -0.6175, -0.6369, -0.6369, -0.6123, -0.6239, -0.6369, -0.4585, 1.6272, 1.66, -0.6... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.010417, 0.01555, 0.017333, 0.012085, 0.0, 0.444444, 0.366667, 0.0, 0.002827, 0.0, 0.078288, 0.031579, 0.01, 0.063092, 0.014581, 0.079647, 0.0, 0.0, 0.002393, 0.002697, 0.004557, 0.005749, 0.089646, 0.153588, 0.0, 0.153698, 0.0, 0.004546, 0.0, 0.0, 0.005763, 0.003057, 0.0, 0.041667, 0.528571, 0.536232, 0.0, 0.0] | T | T |
10,037 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.4818, -0.2649, -0.2645, -0.2539, -0.6369, 3.1742, 0.4843, -0.6369, -0.6138, -0.6354, 0.4239, -0.5212, -0.5783, -0.4513, -0.5249, 0.4843, -0.6369, -0.6369, -0.3435, -0.4018, -0.3866, -0.4488, 1.6974, -0.589, -0.5733, -0.5933, -0.6369, -0.4253, -0.6369, -0.5694, -0.4594, -0.4892, -0.6369, -0.6369, -0.4189, -0.4186, -0... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.494624, 0.086864, 0.086957, 0.089431, 0.0, 0.889744, 0.26177, 0.0, 0.005393, 0.000354, 0.24765, 0.027027, 0.013699, 0.043349, 0.026159, 0.261761, 0.0, 0.0, 0.068516, 0.054888, 0.058444, 0.04392, 0.544965, 0.011186, 0.014868, 0.010199, 0.0, 0.049411, 0.0, 0.015759, 0.041452, 0.034483, 0.0, 2.2e-05, 0.050894, 0.050963... | T | T |
10,023 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.2713, 0.2713, 0.323, 0.2196, 0.2196, 0.2196, 0.2196, 0.478, -0.0387, 0.2713, 0.013, 0.1163, 0.0646, -0.0904, -0.2454, -0.3487, -0.4521, -0.5038, -0.5038, -0.5038, -0.2971, -0.1937, -0.0387, 0.1163, 0.2713, 0.323, 0.2196, 1.3047, 0.1163, 0.5297, 0.5297, 0.478, 0.5297, 0.4263, 0.478, 0.4263, 0.4263, 0.5297, 0.4263, 0.... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.03999999910593033, 0.03999999910593033, 0.05000000074505806, 0.029999999329447746, 0.029999999329447746, 0.029999999329447746, 0.029999999329447746, 0.07999999821186066, -0.019999999552965164, 0.03999999910593033, -0.009999999776482582, 0.009999999776482582, 0.0, -0.029999999329447746, -0.05999999865889549, -0.07999... | T | T |
10,084 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.5264, -0.5264, -0.5076, -0.5264, -0.5264, -0.5264, -0.5264, -0.5076, -0.5264, -0.5624, -0.5555, -0.5701, -0.5778, -0.5778, -0.5778, -0.5658, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5418, -0.5658, -0.5898, -0.6137, -0.6137, -0.6137, -0.6137, -0.6137, -0.6... | This time series contains experimental data of room occupancy, such as temperature, humidity, light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. | F | environmental sensing | Occupancy | [17.0, 17.0, 20.66666603088379, 17.0, 17.0, 17.0, 17.0, 20.66666603088379, 17.0, 10.0, 11.333333015441895, 8.5, 7.0, 7.0, 7.0, 9.333333015441895, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 9.333333015441895, 4.666666507720947, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,... | F | T |
10,038 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.2224, -0.4948, -0.4661, -0.4648, -0.6369, 3.3729, 3.3348, -0.6369, -0.601, -0.6349, -0.6359, -0.5149, -0.5937, -0.5712, -0.4159, -0.3113, -0.6369, -0.6369, -0.5158, -0.3456, -0.4914, -0.3234, -0.5954, 2.1368, -0.6369, 3.378, -0.6369, -0.2362, -0.6369, -0.6369, -0.1434, -0.6369, -0.6369, 0.7909, -0.6369, -0.6369, -0... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.096774, 0.033185, 0.039881, 0.040184, 0.0, 0.936129, 0.92723, 0.0, 0.008399, 0.00048, 0.000239, 0.028497, 0.010101, 0.015348, 0.051609, 0.076026, 0.0, 0.0, 0.028276, 0.06802, 0.033989, 0.0732, 0.009709, 0.647541, 0.0, 0.937313, 0.0, 0.093561, 0.0, 0.0, 0.115231, 0.0, 0.0, 0.333333, 0.0, 0.0, 0.0, 0.0] | T | T |
10,118 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.0169, -0.04, -0.0862, -0.0631, -0.0631, -0.0631, -0.0862, -0.0862, -0.0862, 0.0062, 0.0292, 0.0062, 0.1216, 0.2139, 0.3062, 0.1677, 0.0754, -0.04, -0.1785, -0.1554, -0.1323, -0.2016, -0.2016, -0.2016, -0.1785, -0.2016, 0.0523, 0.7909, 1.7834, -0.5478, -3.3174, -3.0636, -2.6481, -1.4018, -0.5016] | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [-0.019999999552965164, -0.029999999329447746, -0.05000000074505806, -0.03999999910593033, -0.03999999910593033, -0.03999999910593033, -0.05000000074505806, -0.05000000074505806, -0.05000000074505806, -0.009999999776482582, 0.0, -0.009999999776482582, 0.03999999910593033, 0.07999999821186066, 0.11999999731779099, 0.059... | T | T |
10,020 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.6066, -0.4224, -0.4265, -0.3549, -0.6369, 3.597, 2.8032, -0.6369, -0.5827, -0.6369, -0.6369, 0.2823, -0.5407, -0.5134, -0.2585, -0.5812, -0.6369, -0.6369, 0.8962, 1.0535, 1.15, 1.5723, 0.9921, 3.0197, 1.8241, 2.2953, -0.6369, 1.154, -0.6369, -0.6369, 1.5469, 0.5021, -0.4054, -0.4761, 1.2191, 1.2176, 1.2187, 1.2187] | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.290323, 0.050082, 0.049124, 0.065857, 0.0, 0.988439, 0.803112, 0.0, 0.012674, 0.0, 0.0, 0.214602, 0.022472, 0.028854, 0.088356, 0.013006, 0.0, 0.0, 0.357925, 0.394649, 0.417162, 0.515769, 0.380319, 0.853664, 0.574545, 0.684543, 0.0, 0.418109, 0.0, 0.0, 0.509839, 0.265912, 0.054054, 0.037549, 0.433312, 0.432957, 0.43... | T | T |
10,097 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.0986, -0.6097, -0.6085, -0.5978, 3.4953, 1.5093, 0.9045, -0.6369, -0.6364, -0.6369, -0.6369, -0.5463, -0.6369, -0.5907, -0.6272, -0.633, -0.6369, -0.6369, 1.3003, 0.6685, 1.3808, 1.3079, 1.4967, 0.0086, 1.2543, -0.0557, -0.6369, 1.4036, -0.6369, -0.0954, 1.4767, 1.4819, 0.077, -0.1088, 1.5827, 1.5805, -0.6369, -0.63... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.171717, 0.006358, 0.00665, 0.009134, 0.964706, 0.501059, 0.35987, 0.0, 0.000117, 0.0, 0.0, 0.021154, 0.0, 0.010805, 0.002274, 0.000916, 0.0, 0.0, 0.452257, 0.304764, 0.471045, 0.454045, 0.498101, 0.150717, 0.44153, 0.135698, 0.0, 0.476384, 0.0, 0.126437, 0.493433, 0.494658, 0.166667, 0.123288, 0.518182, 0.517666, 0.... | T | T |
10,099 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.1466, 0.1016, 0.0567, 0.1016, 0.1016, 0.1466, 0.1466, 0.1915, 0.2364, 0.3713, 0.1466, 0.6409, 0.1915, 0.1915, 0.0567, -0.3477, -0.2579, -0.2129, -0.168, -0.1231, -0.1231, -0.1231, -0.168, -0.2579, 0.7308, 1.6295, 3.1574, -2.9542, -4.7966, -4.0327, -2.8643, -1.4712, -0.0781, -0.2129, -0.168, -0.0781, 0.0567, 0.1016, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.019999999552965164, 0.009999999776482582, 0.0, 0.009999999776482582, 0.009999999776482582, 0.019999999552965164, 0.019999999552965164, 0.029999999329447746, 0.03999999910593033, 0.07000000029802322, 0.019999999552965164, 0.12999999523162842, 0.029999999329447746, 0.029999999329447746, 0.0, -0.09000000357627869, -0.0... | T | T |
10,085 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.666, 1.5592, 1.426, 1.363, -0.6369, 3.6465, 0.8433, -0.6369, -0.4819, -0.6369, 0.2794, -0.1739, -0.4609, -0.3139, -0.0376, 0.3413, -0.6369, -0.6369, 1.1109, 1.5975, 1.6604, 1.4005, 3.6462, -0.4988, 0.6218, -0.5084, -0.6369, 1.4153, -0.6369, -0.3608, 1.3317, 0.8842, -0.6353, -0.6368, 1.5257, 1.5259, -0.6369, -0.6369] | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.537634, 0.512712, 0.481605, 0.466899, 0.0, 1.0, 0.345574, 0.0, 0.036191, 0.0, 0.213933, 0.108108, 0.041096, 0.07542, 0.139913, 0.228379, 0.0, 0.0, 0.408038, 0.521654, 0.536328, 0.475643, 0.999928, 0.032244, 0.29386, 0.030018, 0.0, 0.479117, 0.0, 0.06447, 0.459588, 0.355121, 0.000386, 3.4e-05, 0.504887, 0.504923, 0.0... | T | T |
10,177 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.077, 0.1006, 0.077, 0.077, 0.0533, 0.0533, 0.0533, 0.1006, 0.077, 0.1006, 0.077, 0.1006, 0.077, 0.1006, 0.1243, 0.077, 0.1006, 0.1006, 0.1243, 0.1243, 0.1006, 0.1006, 0.1243, 0.1479, 0.1243, 0.1243, 0.1715, 0.1479, 0.1006, 0.1006, 0.1243, 0.1479, 0.077, 0.1479, 0.1243, 0.1006, 0.1006, 0.1243, 0.1006, 0.077, 0.1006, ... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | T | biomedical | ECG | [0.019999999552965164, 0.029999999329447746, 0.019999999552965164, 0.019999999552965164, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.029999999329447746, 0.019999999552965164, 0.029999999329447746, 0.019999999552965164, 0.029999999329447746, 0.019999999552965164, 0.029999999329447746, 0.039999999... | T | T |
10,068 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [-0.6369, -0.6344, -0.6332, -0.6341, -0.6369, 2.5631, -0.4428, -0.6369, -0.6369, -0.6369, -0.6369, -0.404, -0.6369, -0.4366, -0.6089, -0.433, -0.6369, -0.6369, -0.6078, -0.6129, -0.5543, -0.5752, -0.5686, -0.5592, -0.6087, -0.5578, -0.6369, -0.469, -0.6369, 0.4339, -0.4406, -0.5783, -0.6369, -0.4454, 0.119, 0.119, -0.6... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | F | it | SMD | [0.0, 0.000595, 0.000864, 0.000673, 0.0, 0.747062, 0.045332, 0.0, 0.0, 0.0, 0.0, 0.054393, 0.0, 0.046765, 0.00654, 0.047619, 0.0, 0.0, 0.006803, 0.005604, 0.019295, 0.014411, 0.015952, 0.018151, 0.006601, 0.018481, 0.0, 0.039201, 0.0, 0.25, 0.045846, 0.013699, 0.0, 0.044723, 0.176471, 0.176471, 0.0, 0.0] | T | T |
10,181 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [0.3489, 0.0699, 0.1939, 0.2559, 0.0389, 0.7518, 0.1939, 0.4109, 0.3489, 0.3179, 0.6588, 0.1939, 0.9377, 0.5348, 0.5658, 0.7208, 0.7208, 0.6588, 0.6898, 0.6278, 0.5038, 0.4109, 0.1319, 0.1009, -0.0231, 0.1009, 0.0079, -0.116, 0.1629, 0.1319, -0.0231, 0.0699, 0.2869, 0.1319, 0.0079, 0.1319, 0.1009, 0.2559, 0.1319, 0.348... | This is an electrocardiogram (ECG) time series, and the anomalies represent ventricular premature contractions. The ECG recordings were made using Del Mar Avionics model 445 two-channel reel-to-reel Holter recorders, and the analog signals were recreated for digitization using a Del Mar Avionics model 660 playback unit... | F | biomedical | ECG | [0.10000000149011612, 0.009999999776482582, 0.05000000074505806, 0.07000000029802322, 0.0, 0.23000000417232513, 0.05000000074505806, 0.11999999731779099, 0.10000000149011612, 0.09000000357627869, 0.20000000298023224, 0.05000000074505806, 0.28999999165534973, 0.1599999964237213, 0.17000000178813934, 0.2199999988079071, ... | T | T |
10,112 | anomaly_detection | Determine whether the given time series contains anomalies.
Respond ONLY with the letter of the correct choice (T or F).
Choices:
T: True.
F: False.
| true_or_false | [1.577, -0.1869, -0.0997, -0.1876, -0.6369, 3.5726, -0.5482, -0.6369, -0.5563, -0.6125, 0.1318, -0.2837, -0.5325, -0.4633, -0.1631, -0.0473, -0.6369, -0.6369, -0.3473, -0.2958, -0.2356, -0.2668, 0.4111, -0.6276, -0.4509, -0.6277, -0.6369, -0.2351, -0.6369, -0.5714, -0.2666, -0.4837, -0.6369, -0.6214, -0.4949, -0.4949, ... | SMD (Server Machine Dataset) is collected from a large Internet company. The data is sampled every 5 seconds. | T | it | SMD | [0.516854, 0.105063, 0.125424, 0.104911, 0.0, 0.982748, 0.020721, 0.0, 0.018818, 0.005701, 0.179473, 0.082474, 0.02439, 0.040543, 0.110613, 0.13765, 0.0, 0.0, 0.067628, 0.079643, 0.0937, 0.086422, 0.244671, 0.002187, 0.043423, 0.002158, 0.0, 0.093809, 0.0, 0.015296, 0.086464, 0.035783, 0.0, 0.00363, 0.033154, 0.033154,... | T | T |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.