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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 13 new columns ({'Applewatch.Calories_LE', 'ApplewatchIntensity_LE', 'SDNormalizedApplewatchHR_LE', 'NormalizedApplewatchHeartrate_LE', 'Applewatch.Steps_LE', 'CorrelationApplewatchHeartrateSteps_LE', 'Applewatch.Heart_LE', 'EntropyApplewatchStepsPerDay_LE', 'activity_trimmed', 'RestingApplewatchHeartrate_LE', 'Applewatch.Distance_LE', 'ApplewatchStepsXDistance_LE', 'EntropyApplewatchHeartPerDay_LE'}) and 15 missing columns ({'calories', 'X1', 'entropy_heart', 'norm_heart', 'entropy_setps', 'steps_times_distance', 'distance', 'resting_heart', 'sd_norm_heart', 'steps', 'hear_rate', 'device', 'corr_heart_steps', 'activity', 'intensity_karvonen'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data/data_for_weka_aw.csv (at revision 6568a1112d59e82f43f8c947a2a1e874f37811a3), [/tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/aw_fb_data.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/aw_fb_data.csv), /tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_aw.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_aw.csv), /tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_fb.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_fb.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              age: int64
              gender: int64
              height: double
              weight: double
              Applewatch.Steps_LE: double
              Applewatch.Heart_LE: double
              Applewatch.Calories_LE: double
              Applewatch.Distance_LE: double
              EntropyApplewatchHeartPerDay_LE: double
              EntropyApplewatchStepsPerDay_LE: double
              RestingApplewatchHeartrate_LE: double
              CorrelationApplewatchHeartrateSteps_LE: double
              NormalizedApplewatchHeartrate_LE: double
              ApplewatchIntensity_LE: double
              SDNormalizedApplewatchHR_LE: double
              ApplewatchStepsXDistance_LE: double
              activity_trimmed: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2799
              to
              {'Unnamed: 0': Value('int64'), 'X1': Value('int64'), 'age': Value('int64'), 'gender': Value('int64'), 'height': Value('float64'), 'weight': Value('float64'), 'steps': Value('float64'), 'hear_rate': Value('float64'), 'calories': Value('float64'), 'distance': Value('float64'), 'entropy_heart': Value('float64'), 'entropy_setps': Value('float64'), 'resting_heart': Value('float64'), 'corr_heart_steps': Value('float64'), 'norm_heart': Value('float64'), 'intensity_karvonen': Value('float64'), 'sd_norm_heart': Value('float64'), 'steps_times_distance': Value('float64'), 'device': Value('string'), 'activity': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 13 new columns ({'Applewatch.Calories_LE', 'ApplewatchIntensity_LE', 'SDNormalizedApplewatchHR_LE', 'NormalizedApplewatchHeartrate_LE', 'Applewatch.Steps_LE', 'CorrelationApplewatchHeartrateSteps_LE', 'Applewatch.Heart_LE', 'EntropyApplewatchStepsPerDay_LE', 'activity_trimmed', 'RestingApplewatchHeartrate_LE', 'Applewatch.Distance_LE', 'ApplewatchStepsXDistance_LE', 'EntropyApplewatchHeartPerDay_LE'}) and 15 missing columns ({'calories', 'X1', 'entropy_heart', 'norm_heart', 'entropy_setps', 'steps_times_distance', 'distance', 'resting_heart', 'sd_norm_heart', 'steps', 'hear_rate', 'device', 'corr_heart_steps', 'activity', 'intensity_karvonen'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data/data_for_weka_aw.csv (at revision 6568a1112d59e82f43f8c947a2a1e874f37811a3), [/tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/aw_fb_data.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/aw_fb_data.csv), /tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_aw.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_aw.csv), /tmp/hf-datasets-cache/medium/datasets/44422167032975-config-parquet-and-info-jason1966-aleespinosa_app-96d2c1d4/hub/datasets--jason1966--aleespinosa_apple-watch-and-fitbit-data/snapshots/6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_fb.csv (origin=hf://datasets/jason1966/aleespinosa_apple-watch-and-fitbit-data@6568a1112d59e82f43f8c947a2a1e874f37811a3/data_for_weka_fb.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Unnamed: 0
int64
X1
int64
age
int64
gender
int64
height
float64
weight
float64
steps
float64
hear_rate
float64
calories
float64
distance
float64
entropy_heart
float64
entropy_setps
float64
resting_heart
float64
corr_heart_steps
float64
norm_heart
float64
intensity_karvonen
float64
sd_norm_heart
float64
steps_times_distance
float64
device
string
activity
string
1
1
20
1
168
65.4
10.771429
78.531302
0.344533
0.008327
6.221612
6.116349
59
1
19.531302
0.13852
1
0.089692
apple watch
Lying
2
2
20
1
168
65.4
11.475325
78.45339
3.287625
0.008896
6.221612
6.116349
59
1
19.45339
0.137967
1
0.102088
apple watch
Lying
3
3
20
1
168
65.4
12.179221
78.540825
9.484
0.009466
6.221612
6.116349
59
1
19.540825
0.138587
1
0.115287
apple watch
Lying
4
4
20
1
168
65.4
12.883117
78.62826
10.154556
0.010035
6.221612
6.116349
59
1
19.62826
0.139208
1
0.129286
apple watch
Lying
5
5
20
1
168
65.4
13.587013
78.715695
10.825111
0.010605
6.221612
6.116349
59
0.982816
19.715695
0.139828
0.241567
0.144088
apple watch
Lying
6
6
20
1
168
65.4
14.290909
78.803129
11.495667
0.011174
6.221612
6.116349
59
1
19.803129
0.140448
0.264722
0.159691
apple watch
Sitting
7
7
20
1
168
65.4
14.994805
78.890564
12.166222
0.011744
6.221612
6.116349
59
1
19.890564
0.141068
0.264722
0.176096
apple watch
Sitting
8
8
20
1
168
65.4
15.698701
78.977999
12.836778
0.012313
6.221612
6.116349
59
1
19.977999
0.141688
0.264722
0.193303
apple watch
Sitting
9
9
20
1
168
65.4
16.402597
79.065434
13.507333
0.012883
6.221612
6.116349
59
1
20.065434
0.142308
0.264722
0.211311
apple watch
Sitting
10
10
20
1
168
65.4
17.106494
79.152869
14.177889
0.013452
6.221612
6.116349
59
1
20.152869
0.142928
0.264722
0.230121
apple watch
Sitting
11
11
20
1
168
65.4
17.81039
79.240303
14.848444
0.014022
6.221612
6.116349
59
1
20.240303
0.143548
0.264722
0.249733
apple watch
Self Pace walk
12
12
20
1
168
65.4
18.514286
79.327738
15.519
0.014591
6.221612
6.116349
59
1
20.327738
0.144168
0.264722
0.270146
apple watch
Self Pace walk
13
13
20
1
168
65.4
19.218182
79.415173
15.506875
0.015161
6.221612
6.116349
59
1
20.415173
0.144788
0.264722
0.291362
apple watch
Self Pace walk
14
14
20
1
168
65.4
19.922078
79.502608
15.49475
0.01573
6.221612
6.116349
59
1
20.502608
0.145409
0.264722
0.313379
apple watch
Self Pace walk
15
15
20
1
168
65.4
20.625974
79.590043
15.482625
0.0163
6.221612
6.116349
59
1
20.590043
0.146029
0.264722
0.336197
apple watch
Self Pace walk
16
16
20
1
168
65.4
21.32987
79.677478
15.4705
0.016869
6.221612
6.116349
59
1
20.677478
0.146649
0.264722
0.359818
apple watch
Self Pace walk
17
17
20
1
168
65.4
22.033766
79.764912
15.458375
0.017439
6.221612
6.116349
59
1
20.764912
0.147269
0.264722
0.38424
apple watch
Self Pace walk
18
18
20
1
168
65.4
22.737662
79.852347
15.44625
0.018008
6.221612
6.116349
59
1
20.852347
0.147889
0.264722
0.409464
apple watch
Self Pace walk
19
19
20
1
168
65.4
23.441558
79.939782
15.434125
0.018578
6.221612
6.116349
59
1
20.939782
0.148509
0.264722
0.435489
apple watch
Self Pace walk
20
20
20
1
168
65.4
24.145455
80.027217
15.422
0.019147
6.221612
6.116349
59
1
21.027217
0.149129
0.264722
0.462317
apple watch
Self Pace walk
21
21
20
1
168
65.4
24.849351
80.114652
15.409875
0.019717
6.221612
6.116349
59
1
21.114652
0.149749
0.264722
0.489946
apple watch
Self Pace walk
22
22
20
1
168
65.4
25.553247
80.202086
15.39775
0.020286
6.221612
6.116349
59
1
21.202086
0.150369
0.264722
0.518376
apple watch
Lying
23
23
20
1
168
65.4
26.257143
80.289521
15.385625
0.020856
6.221612
6.116349
59
1
21.289521
0.15099
0.264722
0.547609
apple watch
Lying
24
24
20
1
168
65.4
26.961039
80.376956
15.3735
0.021425
6.221612
6.116349
59
1
21.376956
0.15161
0.264722
0.577643
apple watch
Lying
25
25
20
1
168
65.4
27.664935
80.464391
15.361375
0.021995
6.221612
6.116349
59
1
21.464391
0.15223
0.264722
0.608479
apple watch
Lying
26
26
20
1
168
65.4
28.368831
80.551826
15.34925
0.022564
6.221612
6.116349
59
1
21.551826
0.15285
0.264722
0.640117
apple watch
Lying
27
27
20
1
168
65.4
29.072727
80.63926
15.337125
0.023134
6.221612
6.116349
59
1
21.63926
0.15347
0.264722
0.672556
apple watch
Running 3 METs
28
28
20
1
168
65.4
29.776623
80.726695
15.325
0.023703
6.221612
6.116349
59
1
21.726695
0.15409
0.264722
0.705797
apple watch
Running 3 METs
29
29
20
1
168
65.4
30.480519
80.81413
15.5058
0.024273
6.221612
6.116349
59
1
21.81413
0.15471
0.264722
0.73984
apple watch
Running 3 METs
30
30
20
1
168
65.4
31.184416
80.901565
15.6866
0.024842
6.221612
6.116349
59
-0.291669
21.901565
0.15533
0.264722
0.774685
apple watch
Running 3 METs
31
31
20
1
168
65.4
31.888312
80.989
15.8674
0.025412
6.221612
6.116349
59
-0.477087
21.989
0.15595
0.264722
0.810331
apple watch
Running 3 METs
32
32
20
1
168
65.4
32.592208
81.076434
16.0482
0.025981
6.221612
6.116349
59
-0.389257
22.076434
0.15657
0.264722
0.846779
apple watch
Running 3 METs
33
33
20
1
168
65.4
33.296104
81.163869
16.229
0.026551
6.221612
6.116349
59
-0.359324
22.163869
0.157191
0.264722
0.884029
apple watch
Running 3 METs
34
34
20
1
168
65.4
34
81.251304
16.4098
0.02712
6.221612
6.116349
59
-0.364948
22.251304
0.157811
0.264722
0.92208
apple watch
Running 3 METs
35
35
20
1
168
65.4
9
81.338739
16.5906
0.00621
6.221612
6.116349
59
-0.386984
22.338739
0.158431
0.264722
0.05589
apple watch
Running 3 METs
36
36
20
1
168
65.4
20
81.426174
16.7714
0.014465
6.221612
6.116349
59
-0.408859
22.426174
0.159051
0.264722
0.2893
apple watch
Running 3 METs
37
37
20
1
168
65.4
31
81.513608
16.9522
0.02272
6.221612
6.116349
59
-0.417769
22.513608
0.159671
0.264722
0.70432
apple watch
Running 3 METs
38
38
20
1
168
65.4
28
81.601043
17.133
0.020517
6.221612
6.116349
59
-0.404174
22.601043
0.160291
0.264722
0.574476
apple watch
Running 3 METs
39
39
20
1
168
65.4
25
81.688478
17.3138
0.018314
6.221612
6.116349
59
-0.358366
22.688478
0.160911
0.264722
0.45785
apple watch
Running 3 METs
40
40
20
1
168
65.4
22
81.775913
17.4946
0.016111
6.221612
6.116349
59
-0.873395
22.775913
0.161531
0.264722
0.354442
apple watch
Running 3 METs
41
41
20
1
168
65.4
19
81.863348
17.6754
0.013908
6.221612
6.116349
59
-1
22.863348
0.162151
0.264722
0.264252
apple watch
Lying
42
42
20
1
168
65.4
16
81.950782
17.8562
0.011705
6.221612
6.116349
59
-1
22.950782
0.162772
0.264722
0.18728
apple watch
Lying
43
43
20
1
168
65.4
13
82.038217
18.037
0.009502
6.221612
6.116349
59
-0.957121
23.038217
0.163392
0.264722
0.123526
apple watch
Lying
44
44
20
1
168
65.4
10
82.125652
18.031667
0.007299
6.221612
6.116349
59
-0.769967
23.125652
0.164012
0.264722
0.07299
apple watch
Lying
45
45
20
1
168
65.4
7
82.213087
18.026333
0.005096
6.221612
6.116349
59
-0.303574
23.213087
0.164632
0.264722
0.035672
apple watch
Lying
46
46
20
1
168
65.4
4
82.300522
18.021
0.002893
6.221612
6.116349
59
0.288893
23.300522
0.165252
0.264722
0.011572
apple watch
Running 5 METs
47
47
20
1
168
65.4
1
82.387956
18.015667
0.00069
6.221612
6.116349
59
0.67227
23.387956
0.165872
0.264722
0.00069
apple watch
Running 5 METs
48
48
20
1
168
65.4
6.6
82.475391
18.010333
0.005578
6.221612
6.116349
59
0.81856
23.475391
0.166492
0.264722
0.036815
apple watch
Running 5 METs
49
49
20
1
168
65.4
12.2
82.562826
18.005
0.010466
6.221612
6.116349
59
0.78243
23.562826
0.167112
0.264722
0.127685
apple watch
Running 5 METs
50
50
20
1
168
65.4
17.8
82.650261
17.999667
0.015354
6.221612
6.116349
59
0.057332
23.650261
0.167732
2.429736
0.273301
apple watch
Running 5 METs
51
51
20
1
168
65.4
23.4
82.737696
17.994333
0.020242
6.221612
6.116349
59
0.068601
23.737696
0.168352
5.282252
0.473663
apple watch
Running 5 METs
52
52
20
1
168
65.4
29
82.82513
17.989
0.02513
6.221612
6.116349
59
0.216052
23.82513
0.168973
8.487453
0.72877
apple watch
Running 5 METs
53
53
20
1
168
65.4
22
82.912565
17.983667
0.01834
6.221612
6.116349
59
0.425718
23.912565
0.169593
11.828704
0.40348
apple watch
Running 5 METs
54
54
20
1
168
65.4
15
83
17.978333
0.01155
6.221612
6.116349
59
0.572484
24
0.170213
11.55213
0.17325
apple watch
Running 5 METs
55
55
20
1
168
65.4
15
75
17.973
0.011843
6.221612
6.116349
59
0.616646
16
0.113475
11.278424
0.17765
apple watch
Running 5 METs
56
56
20
1
168
65.4
15
67
17.967667
0.012137
6.221612
6.116349
59
0.580284
8
0.056738
10.985766
0.18205
apple watch
Running 5 METs
57
57
20
1
168
65.4
15
59
17.962333
0.01243
6.221612
6.116349
59
0.534216
0
0
10.587475
0.18645
apple watch
Running 5 METs
58
58
20
1
168
65.4
14.888889
51
17.957
0.012076
6.221612
6.116349
59
0.433544
-8
-0.056738
9.398476
0.179792
apple watch
Sitting
59
59
20
1
168
65.4
14.777778
71.1126
17.9598
0.011721
6.221612
6.116349
59
0.345119
12.1126
0.085905
7.112514
0.173212
apple watch
Sitting
60
60
20
1
168
65.4
14.666667
66.741733
17.9626
0.011367
6.221612
6.116349
59
0.172672
7.741733
0.054906
5.701839
0.166711
apple watch
Sitting
61
61
20
1
168
65.4
14.555556
62.370867
17.9654
0.011012
6.221612
6.116349
59
0.012553
3.370867
0.023907
5.348613
0.160289
apple watch
Sitting
62
62
20
1
168
65.4
14.444444
58
17.9682
0.010658
6.221612
6.116349
59
0.178672
-1
-0.007092
5.397981
0.153946
apple watch
Sitting
63
63
20
1
168
65.4
14.333333
58.75
17.971
0.010303
6.221612
6.116349
59
0.365495
-0.25
-0.001773
4.267749
0.147681
apple watch
Sitting
64
64
20
1
168
65.4
14.222222
59.5
17.9738
0.009949
6.221612
6.116349
59
0.805555
0.5
0.003546
4.037345
0.141495
apple watch
Running 7 METs
65
65
20
1
168
65.4
14.111111
60.25
17.9766
0.009594
6.221612
6.116349
59
0.971239
1.25
0.008865
5.074692
0.135388
apple watch
Running 7 METs
66
66
20
1
168
65.4
14
61
17.9794
0.00924
6.221612
6.116349
59
0.989896
2
0.014184
6.422616
0.12936
apple watch
Running 7 METs
67
67
20
1
168
65.4
81.583333
64
17.9822
0.053872
6.221612
6.116349
59
0.996166
5
0.035461
7.526619
4.39503
apple watch
Running 7 METs
68
68
20
1
168
65.4
149.166667
67
17.985
0.098503
6.221612
6.116349
59
0.659855
8
0.056738
8.625262
14.693414
apple watch
Running 7 METs
69
69
20
1
168
65.4
216.75
70
17.9878
0.143135
6.221612
6.116349
59
0.38803
11
0.078014
9.61484
31.024511
apple watch
Running 7 METs
70
70
20
1
168
65.4
284.333333
73
17.9906
0.187767
6.221612
6.116349
59
0.151596
14
0.099291
9.324012
53.388322
apple watch
Running 7 METs
71
71
20
1
168
65.4
351.916667
76
17.9934
0.232398
6.221612
6.116349
59
-0.156528
17
0.120567
8.146451
81.784847
apple watch
Running 7 METs
72
72
20
1
168
65.4
419.5
80
17.9962
0.27703
6.221612
6.116349
59
1
21
0.148936
7.528704
116.214085
apple watch
Running 7 METs
73
73
20
1
168
65.4
71
84
17.999
0.05168
6.221612
6.116349
59
1
25
0.177305
7.403451
3.66928
apple watch
Running 7 METs
74
74
20
1
168
65.4
99
88
13.585383
0.07112
6.221612
6.116349
59
1
29
0.205674
7.675285
7.04088
apple watch
Running 7 METs
75
75
20
1
168
65.4
91
84.843767
9.171766
0.06602
6.221612
6.116349
59
1
25.843767
0.183289
8.156354
6.00782
apple watch
Running 7 METs
76
76
20
1
168
65.4
50.885714
81.687535
4.75815
0.037173
6.221612
6.116349
59
1
22.687535
0.160905
8.635965
1.891596
apple watch
Running 7 METs
77
77
30
0
164
68
10.771429
78.531302
0.344533
0.008327
6.026439
6.149747
69.6
1
8.931302
0.07418
8.846766
0.089692
apple watch
Lying
78
78
30
0
164
68
10.945714
78.45339
3.287625
0.008433
6.026439
6.149747
69.6
1
8.85339
0.073533
8.405923
0.092308
apple watch
Lying
79
79
30
0
164
68
11.12
78.385241
4.099509
0.00854
6.026439
6.149747
69.6
1
8.785241
0.072967
6.613366
0.094962
apple watch
Lying
80
80
30
0
164
68
11.294286
78.317091
4.911393
0.008646
6.026439
6.149747
69.6
1
8.717091
0.072401
4.442604
0.097652
apple watch
Lying
81
81
30
0
164
68
11.468571
78.248941
5.723277
0.008753
6.026439
6.149747
69.6
-0.99992
8.648941
0.071835
0.207962
0.10038
apple watch
Lying
82
82
30
0
164
68
11.642857
78.180791
6.535161
0.008859
6.026439
6.149747
69.6
-1
8.580791
0.071269
0.206334
0.103145
apple watch
Sitting
83
83
30
0
164
68
11.817143
78.112642
7.347045
0.008965
6.026439
6.149747
69.6
-1
8.512642
0.070703
0.206334
0.105946
apple watch
Sitting
84
84
30
0
164
68
11.991429
78.044492
8.158929
0.009072
6.026439
6.149747
69.6
-1
8.444492
0.070137
0.206334
0.108785
apple watch
Sitting
85
85
30
0
164
68
12.165714
77.976342
8.970813
0.009178
6.026439
6.149747
69.6
-1
8.376342
0.069571
0.206334
0.111661
apple watch
Sitting
86
86
30
0
164
68
12.34
77.908192
9.782697
0.009285
6.026439
6.149747
69.6
-1
8.308192
0.069005
0.206334
0.114574
apple watch
Sitting
87
87
30
0
164
68
12.514286
77.840043
10.594581
0.009391
6.026439
6.149747
69.6
-1
8.240043
0.068439
0.206334
0.117525
apple watch
Self Pace walk
88
88
30
0
164
68
12.688571
77.771893
11.406464
0.009498
6.026439
6.149747
69.6
-1
8.171893
0.067873
0.206334
0.120512
apple watch
Self Pace walk
89
89
30
0
164
68
12.862857
77.703743
12.218348
0.009604
6.026439
6.149747
69.6
-1
8.103743
0.067307
0.206334
0.123536
apple watch
Self Pace walk
90
90
30
0
164
68
13.037143
77.635594
13.030232
0.009711
6.026439
6.149747
69.6
-1
8.035594
0.066741
0.206334
0.126598
apple watch
Self Pace walk
91
91
30
0
164
68
13.211429
77.567444
13.842116
0.009817
6.026439
6.149747
69.6
-1
7.967444
0.066175
0.206334
0.129696
apple watch
Self Pace walk
92
92
30
0
164
68
13.385714
77.499294
14.654
0.009923
6.026439
6.149747
69.6
-1
7.899294
0.065609
0.206334
0.132832
apple watch
Self Pace walk
93
93
30
0
164
68
13.56
77.431144
14.932929
0.01003
6.026439
6.149747
69.6
-1
7.831144
0.065043
0.206334
0.136005
apple watch
Self Pace walk
94
94
30
0
164
68
13.734286
77.362995
15.211857
0.010136
6.026439
6.149747
69.6
-1
7.762995
0.064477
0.206334
0.139215
apple watch
Self Pace walk
95
95
30
0
164
68
13.908571
77.294845
15.490786
0.010243
6.026439
6.149747
69.6
-1
7.694845
0.063911
0.206334
0.142462
apple watch
Self Pace walk
96
96
30
0
164
68
14.082857
77.226695
15.769714
0.010349
6.026439
6.149747
69.6
-1
7.626695
0.063345
0.206334
0.145746
apple watch
Self Pace walk
97
97
30
0
164
68
14.257143
77.158545
16.048643
0.010456
6.026439
6.149747
69.6
-1
7.558545
0.062779
0.206334
0.149067
apple watch
Self Pace walk
98
98
30
0
164
68
14.431429
77.090396
16.327571
0.010562
6.026439
6.149747
69.6
-1
7.490396
0.062213
0.206334
0.152426
apple watch
Lying
99
99
30
0
164
68
14.605714
77.022246
16.6065
0.010668
6.026439
6.149747
69.6
-1
7.422246
0.061647
0.206334
0.155821
apple watch
Lying
100
100
30
0
164
68
14.78
76.954096
16.885429
0.010775
6.026439
6.149747
69.6
-1
7.354096
0.061081
0.206334
0.159254
apple watch
Lying
End of preview.

Apple Watch and Fitbit data

A sample of 46 participants using an apple watch and a fitbit for 65 minutes.

Dataset Info

  • Source: Kaggle
  • Original Size: 0.68 MB
  • Kaggle Downloads: 6,451
  • Files: 3

Files

  • aw_fb_data.csv
  • data_for_weka_aw.csv
  • data_for_weka_fb.csv

Mirrored from Kaggle

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