The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1 new columns ({'setpoint deviation'}) and 1 missing columns ({'set'}). This happened while the csv dataset builder was generating data using hf://datasets/smartbuildings/Faulted_Unfaulted_data_sorted/RTU_Faulted_Inc_Eco.csv (at revision d4085b43cf4201fcb8e2f6b0463863d3dbe3d27a) 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast Unnamed: 0: int64 HVAC_TOT_WATT: double RTU_MA_TEMP: double RTU_OA_DMPR_DM: double RTU_OA_TEMP: double RTU_RA_DMPR_DM: double RTU_RA_TEMP: double RTU_SA_FAN_WATT: double RTU_SA_FLOW: double RTU_SA_TEMP: double RTU_TOT_WATT: double season: string setpoint deviation: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1885 to {'Unnamed: 0': Value(dtype='int64', id=None), 'season': Value(dtype='string', id=None), 'set': Value(dtype='float64', id=None), 'HVAC_TOT_WATT': Value(dtype='float64', id=None), 'RTU_MA_TEMP': Value(dtype='float64', id=None), 'RTU_OA_DMPR_DM': Value(dtype='float64', id=None), 'RTU_OA_TEMP': Value(dtype='float64', id=None), 'RTU_RA_DMPR_DM': Value(dtype='float64', id=None), 'RTU_RA_TEMP': Value(dtype='float64', id=None), 'RTU_SA_FAN_WATT': Value(dtype='float64', id=None), 'RTU_SA_FLOW': Value(dtype='float64', id=None), 'RTU_SA_TEMP': Value(dtype='float64', id=None), 'RTU_TOT_WATT': Value(dtype='float64', id=None)} 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 1 new columns ({'setpoint deviation'}) and 1 missing columns ({'set'}). This happened while the csv dataset builder was generating data using hf://datasets/smartbuildings/Faulted_Unfaulted_data_sorted/RTU_Faulted_Inc_Eco.csv (at revision d4085b43cf4201fcb8e2f6b0463863d3dbe3d27a) 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 | season
string | set
float64 | HVAC_TOT_WATT
float64 | RTU_MA_TEMP
float64 | RTU_OA_DMPR_DM
float64 | RTU_OA_TEMP
float64 | RTU_RA_DMPR_DM
float64 | RTU_RA_TEMP
float64 | RTU_SA_FAN_WATT
float64 | RTU_SA_FLOW
float64 | RTU_SA_TEMP
float64 | RTU_TOT_WATT
float64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | Fa | 2 | 293.617795 | 69.16294 | 0 | 56.99 | 100 | 74.1775 | 132.9696 | null | 67.9575 | 180.047395 |
1 | Fa | 2 | 608.701201 | 70.13237 | 0 | 56.93 | 100 | 74.06 | 432.1512 | 1,706.5 | 65.5075 | 470.8932 |
2 | Fa | 2 | 1,761.004501 | 70.43469 | 0 | 56.91 | 100 | 73.685 | 1,567.933 | 3,606 | 64.185 | 1,606.5765 |
3 | Fa | 2 | 2,076.780001 | 70.43469 | 0 | 56.9 | 100 | 73.375 | 1,903.1275 | 3,578 | 65.0025 | 1,938.972 |
4 | Fa | 2 | 2,027.612901 | 70.13705 | 10 | 56.96 | 90 | 73.235 | 1,858.804 | 3,444 | 65.7875 | 1,897.4225 |
5 | Fa | 2 | 2,022.766401 | 69.8352 | 10 | 56.91 | 90 | 73.055 | 1,839.4125 | 3,406 | 66.365 | 1,883.573 |
6 | Fa | 2 | 4,462.407701 | 69.8352 | 10 | 56.91 | 90 | 72.9325 | 1,836.6425 | 3,381 | 66.1125 | 4,334.9875 |
7 | Fa | 2 | 6,658.9868 | 69.8352 | 10 | 56.9 | 90 | 72.845 | 1,836.6425 | 3,336.5 | 61.765 | 6,523.256 |
8 | Fa | 2 | 7,157.5798 | 69.5359 | 10 | 56.88 | 90 | 72.6575 | 1,828.332 | 3,292 | 58.98 | 7,021.849 |
9 | Fa | 2 | 7,204.6682 | 69.5359 | 10 | 56.82 | 90 | 72.5225 | 1,825.562 | 3,270 | 57.4125 | 7,077.248 |
10 | Fa | 2 | 1,977.061901 | 69.23489 | 10 | 56.84 | 90 | 72.3325 | 1,797.86 | 3,241 | 59.575 | 1,842.0235 |
11 | Fa | 2 | 1,959.056801 | 69.23489 | 10 | 56.87 | 90 | 72.2325 | 1,795.09 | 3,243 | 61.61 | 1,828.174 |
12 | Fa | 2 | 2,296.299801 | 69.23489 | 10 | 56.94 | 90 | 72.145 | 1,786.779 | 3,241 | 63.6975 | 2,160.569 |
13 | Fa | 2 | 7,290.5369 | 68.93748 | 10 | 56.94 | 90 | 72.0875 | 1,803.4 | 3,253 | 62.715 | 7,160.3465 |
14 | Fa | 2 | 7,597.3107 | 68.93748 | 10 | 56.96 | 90 | 71.955 | 1,811.711 | 3,240.5 | 59.355 | 7,465.0425 |
15 | Fa | 2 | 7,902.6986 | 68.93748 | 10 | 56.94 | 90 | 71.87 | 1,811.711 | 3,223.5 | 57.64 | 7,769.738 |
16 | Fa | 2 | 8,041.1961 | 68.93748 | 10 | 56.99 | 90 | 71.78 | 1,808.9405 | 3,222.5 | 60.3275 | 7,908.2355 |
17 | Fa | 2 | 8,066.125401 | 68.64029 | 10 | 56.97 | 90 | 71.6325 | 1,806.17 | 3,216 | 59.8325 | 7,935.935 |
18 | Fa | 2 | 8,082.7456 | 68.64029 | 10 | 57.02 | 90 | 71.5375 | 1,806.17 | 3,216.5 | 59.52 | 7,949.785 |
19 | Fa | 2 | 8,090.3628 | 68.64029 | 10 | 57.02 | 90 | 71.4425 | 1,808.9405 | 3,215 | 59.265 | 7,963.635 |
20 | Fa | 2 | 4,456.1764 | 68.34105 | 10 | 57.05 | 90 | 71.3725 | 1,795.0895 | 3,210.5 | 60.215 | 4,321.138 |
21 | Fa | 2 | 1,947.284601 | 68.34105 | 10 | 57.11 | 90 | 71.275 | 1,781.2385 | 3,198 | 64.1025 | 1,814.324 |
22 | Fa | 2 | 1,950.054801 | 68.34105 | 10 | 57.11 | 90 | 71.2575 | 1,778.468 | 3,203.5 | 64.57 | 1,814.324 |
23 | Fa | 2 | 5,359.8895 | 68.34105 | 10 | 57.14 | 90 | 71.3025 | 1,786.779 | 3,214.5 | 65.3175 | 5,055.1765 |
24 | Fa | 2 | 7,988.597301 | 68.34105 | 10 | 57.15 | 90 | 71.235 | 1,800.63 | 3,212 | 62.78 | 7,506.5915 |
25 | Fa | 2 | 8,417.9503 | 68.34105 | 10 | 57.14 | 90 | 71.18 | 1,806.17 | 3,208.5 | 60.9575 | 7,825.1365 |
26 | Fa | 2 | 8,598.0063 | 68.34105 | 10 | 57.18 | 90 | 71.1 | 1,803.4 | 3,206 | 60.025 | 7,908.2355 |
27 | Fa | 2 | 8,744.8244 | 68.34105 | 10 | 57.2 | 90 | 71.06 | 1,792.3195 | 3,180 | 59.5025 | 7,935.935 |
28 | Fa | 2 | 8,922.1222 | 68.04067 | 10 | 57.22 | 90 | 70.965 | 1,778.468 | 3,175 | 59.2025 | 7,880.536 |
29 | Fa | 2 | 9,110.4982 | 68.04067 | 10 | 57.19 | 90 | 70.895 | 1,775.698 | 3,167 | 58.9475 | 7,852.8365 |
30 | Fa | 2 | 9,282.252201 | 68.04067 | 10 | 57.22 | 90 | 70.805 | 1,772.928 | 3,174.5 | 58.755 | 7,838.987 |
31 | Fa | 2 | 9,457.470651 | 68.04067 | 10 | 57.21 | 90 | 70.725 | 1,772.928 | 3,165.5 | 58.5675 | 7,797.4375 |
32 | Fa | 2 | 9,794.747151 | 67.74326 | 10 | 57.14 | 90 | 70.665 | 1,772.928 | 3,166.5 | 58.39 | 7,742.038 |
33 | Fa | 2 | 10,156.953801 | 67.74326 | 10 | 57.17 | 90 | 70.57 | 1,775.698 | 3,159 | 58.2525 | 7,714.3385 |
34 | Fa | 2 | 10,786.466201 | 67.74326 | 10 | 57.18 | 90 | 70.5325 | 1,772.928 | 3,163 | 58.15 | 7,894.386 |
35 | Fa | 2 | 16,988.434451 | 67.74326 | 10 | 57.22 | 90 | 70.4425 | 1,781.2385 | 3,164.5 | 56.7775 | 13,752.85 |
36 | Fa | 2 | 19,052.074901 | 67.74326 | 10 | 57.2 | 90 | 70.3625 | 1,781.2385 | 3,160.5 | 55.2825 | 15,608.725 |
37 | Fa | 2 | 19,642.788401 | 67.44421 | 10 | 57.21 | 90 | 70.265 | 1,778.468 | 3,147 | 54.91 | 15,968.82 |
38 | Fa | 2 | 12,866.102401 | 67.44421 | 10 | 57.33 | 90 | 70.18 | 1,772.9275 | 3,150 | 56.8125 | 8,946.9705 |
39 | Fa | 2 | 12,102.297301 | 67.44421 | 10 | 57.27 | 90 | 70.115 | 1,775.698 | 3,154.5 | 57.55 | 8,046.7335 |
40 | Fa | 2 | 12,035.829801 | 67.44421 | 10 | 57.3 | 90 | 70.0625 | 1,775.698 | 3,159 | 57.4625 | 7,852.8365 |
41 | Fa | 2 | 12,160.488601 | 67.44421 | 10 | 57.33 | 90 | 70.05 | 1,778.468 | 3,163 | 57.38 | 7,852.8365 |
42 | Fa | 2 | 12,473.522101 | 67.14624 | 10 | 57.28 | 90 | 69.9975 | 1,781.2385 | 3,166.5 | 57.37 | 7,838.987 |
43 | Fa | 2 | 12,884.203901 | 67.14624 | 10 | 57.3 | 90 | 69.9125 | 1,772.928 | 3,163.5 | 57.315 | 7,838.987 |
44 | Fa | 2 | 13,201.392301 | 67.14624 | 10 | 57.3 | 90 | 69.865 | 1,778.468 | 3,160.5 | 57.3175 | 7,838.987 |
45 | Fa | 2 | 13,706.943401 | 67.14624 | 10 | 57.25 | 90 | 69.76 | 1,778.468 | 3,165.5 | 57.28 | 7,963.635 |
46 | Fa | 2 | 19,761.402301 | 67.14624 | 10 | 57.34 | 90 | 69.755 | 1,778.468 | 3,157.5 | 56.0075 | 13,780.55 |
47 | Fa | 2 | 21,685.151306 | 66.8492 | 10 | 57.37 | 90 | 69.6525 | 1,778.4685 | 3,152.5 | 54.5225 | 15,497.925 |
48 | Fa | 2 | 22,419.205401 | 66.8492 | 10 | 57.37 | 90 | 69.5675 | 1,778.468 | 3,145.5 | 54.18 | 15,885.725 |
49 | Fa | 2 | 15,644.566601 | 66.8492 | 10 | 57.39 | 90 | 69.5025 | 1,772.9275 | 3,147 | 56.13 | 8,836.1725 |
50 | Fa | 2 | 15,411.222501 | 66.8492 | 10 | 57.36 | 90 | 69.465 | 1,772.928 | 3,151 | 56.8525 | 7,977.485 |
51 | Fa | 2 | 15,351.753606 | 66.8492 | 10 | 57.37 | 90 | 69.4175 | 1,767.387 | 3,144.5 | 56.7775 | 7,838.987 |
52 | Fa | 2 | 16,144.015201 | 66.8492 | 10 | 57.5 | 90 | 69.3825 | 1,761.847 | 3,144 | 56.7075 | 7,825.1375 |
53 | Fa | 2 | 16,882.252001 | 66.8492 | 10 | 57.39 | 90 | 69.3325 | 1,759.077 | 3,139.5 | 56.71 | 7,811.287 |
54 | Fa | 2 | 17,362.902201 | 66.55174 | 10 | 57.42 | 90 | 69.3025 | 1,761.847 | 3,135.5 | 56.67 | 7,783.587 |
55 | Fa | 2 | 17,837.3077 | 66.55174 | 10 | 57.48 | 90 | 69.2475 | 1,761.847 | 3,144.5 | 56.6575 | 7,797.4375 |
56 | Fa | 2 | 18,337.981201 | 66.55174 | 10 | 57.57 | 90 | 69.2425 | 1,761.847 | 3,140.5 | 56.6675 | 7,935.935 |
57 | Fa | 2 | 24,366.816501 | 66.55174 | 10 | 57.54 | 90 | 69.21 | 1,764.617 | 3,140.5 | 55.49 | 13,752.85 |
58 | Fa | 2 | 25,902.758395 | 66.55174 | 10 | 57.51 | 90 | 69.16 | 1,764.617 | 3,127 | 54.05 | 15,414.825 |
59 | Fa | 2 | 26,636.0832 | 66.55174 | 10 | 57.55 | 90 | 69.0975 | 1,764.617 | 3,131 | 53.7625 | 16,024.22 |
60 | Fa | 2 | 19,308.1437 | 66.55174 | 10 | 57.51 | 90 | 69.0425 | 1,759.077 | 3,127 | 55.615 | 8,836.172 |
61 | Fa | 2 | 18,493.0716 | 66.55174 | 10 | 57.49 | 90 | 68.9875 | 1,761.847 | 3,141.5 | 56.4225 | 7,963.635 |
62 | Fa | 2 | 18,629.4787 | 66.25325 | 10 | 57.43 | 90 | 69.0025 | 1,761.847 | 3,136 | 56.3375 | 7,783.587 |
63 | Fa | 2 | 18,868.3728 | 66.25325 | 10 | 57.45 | 90 | 68.9725 | 1,759.077 | 3,137.5 | 56.255 | 7,755.8875 |
64 | Fa | 2 | 19,132.89865 | 66.25325 | 10 | 57.46 | 90 | 68.96 | 1,759.077 | 3,135 | 56.2025 | 7,742.038 |
65 | Fa | 2 | 18,804.7156 | 66.25325 | 10 | 57.46 | 90 | 68.9825 | 1,756.3065 | 3,133.5 | 56.1825 | 7,755.8875 |
66 | Fa | 2 | 18,699.4422 | 66.25325 | 10 | 57.48 | 90 | 68.9425 | 1,759.077 | 3,137.5 | 56.2175 | 7,742.038 |
67 | Fa | 2 | 18,438.3566 | 66.25325 | 10 | 57.51 | 90 | 68.97 | 1,759.077 | 3,133 | 56.1975 | 7,728.188 |
68 | Fa | 2 | 22,852.2457 | 66.25325 | 10 | 57.52 | 90 | 68.9875 | 1,767.387 | 3,138 | 55.4775 | 12,464.82 |
69 | Fa | 2 | 25,346.5678 | 66.25325 | 10 | 57.51 | 90 | 68.9625 | 1,764.617 | 3,126.5 | 53.775 | 15,234.785 |
70 | Fa | 2 | 25,775.1817 | 66.25325 | 10 | 57.51 | 90 | 68.92 | 1,764.617 | 3,125 | 53.375 | 16,051.92 |
71 | Fa | 2 | 19,193.7615 | 66.25325 | 10 | 57.52 | 90 | 68.915 | 1,764.6175 | 3,122.5 | 54.6475 | 9,971.8575 |
72 | Fa | 2 | 17,197.3013 | 66.25325 | 10 | 57.58 | 90 | 68.8875 | 1,767.387 | 3,142.5 | 56.1 | 8,102.133 |
73 | Fa | 2 | 16,959.7732 | 66.25325 | 10 | 57.58 | 90 | 68.8975 | 1,767.387 | 3,145 | 56.0875 | 7,866.686 |
74 | Fa | 2 | 17,021.3984 | 66.25325 | 10 | 57.61 | 90 | 68.905 | 1,767.387 | 3,139.5 | 56.01 | 7,825.1375 |
75 | Fa | 2 | 17,242.9947 | 66.25325 | 10 | 57.64 | 90 | 68.8975 | 1,767.3875 | 3,143.5 | 56.01 | 7,825.1375 |
76 | Fa | 2 | 17,312.2348 | 66.25325 | 10 | 57.66 | 90 | 68.9125 | 1,767.3875 | 3,149.5 | 55.9975 | 7,797.4375 |
77 | Fa | 2 | 17,583.6968 | 66.25325 | 10 | 57.64 | 90 | 68.895 | 1,770.1575 | 3,145.5 | 56.0575 | 7,811.287 |
78 | Fa | 2 | 17,674.4144 | 66.25325 | 10 | 57.64 | 90 | 68.8975 | 1,770.1575 | 3,144.5 | 56.0625 | 7,825.1375 |
79 | Fa | 2 | 19,191.7335 | 66.25325 | 10 | 57.66 | 90 | 68.9075 | 1,775.698 | 3,145.5 | 55.9975 | 9,611.764 |
80 | Fa | 2 | 23,757.361201 | 66.25325 | 10 | 57.65 | 90 | 68.895 | 1,778.468 | 3,140.5 | 54.2575 | 14,473.045 |
81 | Fa | 2 | 24,814.092601 | 66.25325 | 10 | 57.61 | 90 | 68.86 | 1,772.928 | 3,133 | 53.3225 | 15,581.025 |
82 | Fa | 2 | 22,512.256601 | 66.25325 | 10 | 57.6 | 90 | 68.8075 | 1,772.9275 | 3,133.5 | 53.4275 | 13,281.96 |
83 | Fa | 2 | 17,445.992501 | 66.25325 | 10 | 57.6 | 90 | 68.7925 | 1,772.9275 | 3,141 | 55.485 | 8,282.18 |
84 | Fa | 2 | 16,909.305601 | 66.25325 | 10 | 57.67 | 90 | 68.795 | 1,770.1575 | 3,146.5 | 55.78 | 7,838.987 |
85 | Fa | 2 | 16,938.391006 | 66.25325 | 10 | 57.67 | 90 | 68.785 | 1,770.1575 | 3,146 | 55.765 | 7,755.888 |
86 | Fa | 2 | 17,177.299701 | 66.25325 | 10 | 57.63 | 90 | 68.7475 | 1,770.1575 | 3,144 | 55.7025 | 7,755.8875 |
87 | Fa | 2 | 17,145.465901 | 66.25325 | 10 | 57.6 | 90 | 68.79 | 1,767.387 | 3,146 | 55.745 | 7,742.038 |
88 | Fa | 2 | 17,202.960401 | 66.25325 | 10 | 57.48 | 90 | 68.785 | 1,767.387 | 3,142.5 | 55.7575 | 7,672.789 |
89 | Fa | 2 | 17,189.782301 | 66.25325 | 10 | 57.55 | 90 | 68.735 | 1,770.1575 | 3,145.5 | 55.71 | 7,645.089 |
90 | Fa | 2 | 17,403.754901 | 66.25325 | 10 | 57.51 | 90 | 68.745 | 1,770.1575 | 3,145.5 | 55.66 | 7,658.939 |
91 | Fa | 2 | 22,003.938401 | 66.25325 | 10 | 57.52 | 90 | 68.7675 | 1,770.1575 | 3,139.5 | 54.975 | 12,270.92 |
92 | Fa | 2 | 24,618.780301 | 66.25325 | 10 | 57.55 | 90 | 68.7375 | 1,767.387 | 3,137.5 | 53.2025 | 14,860.835 |
93 | Fa | 2 | 25,139.568501 | 66.25325 | 10 | 57.61 | 90 | 68.7075 | 1,767.3875 | 3,132.5 | 52.82 | 15,802.62 |
94 | Fa | 2 | 19,177.223401 | 66.25325 | 10 | 57.58 | 90 | 68.635 | 1,761.847 | 3,129.5 | 54.0375 | 9,791.8085 |
95 | Fa | 2 | 17,642.666801 | 66.25325 | 10 | 57.66 | 90 | 68.6575 | 1,764.617 | 3,140.5 | 55.555 | 7,991.3345 |
96 | Fa | 2 | 17,592.105901 | 66.25325 | 10 | 57.67 | 90 | 68.6625 | 1,764.617 | 3,140.5 | 55.555 | 7,769.738 |
97 | Fa | 2 | 17,756.948701 | 65.95541 | 10 | 57.7 | 90 | 68.63 | 1,761.847 | 3,141.5 | 55.5425 | 7,755.888 |
98 | Fa | 2 | 17,581.7737 | 65.95541 | 10 | 57.73 | 90 | 68.6625 | 1,767.387 | 3,141.5 | 55.5675 | 7,728.188 |
99 | Fa | 2 | 17,756.974201 | 65.95541 | 10 | 57.7 | 90 | 68.66 | 1,764.617 | 3,142.5 | 55.53 | 7,686.639 |
End of preview.