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elskow
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Weather4cast

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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 29 new columns ({'soil_moisture_7_to_28cm (m³/m³)', 'direct_radiation (W/m²)', 'apparent_temperature (°C)', 'soil_temperature_100_to_255cm (°C)', 'cloudcover_low (%)', 'soil_temperature_28_to_100cm (°C)', 'cloudcover (%)', 'relativehumidity_2m (%)', 'dewpoint_2m (°C)', 'soil_moisture_100_to_255cm (m³/m³)', 'windspeed_100m (km/h)', 'soil_moisture_0_to_7cm (m³/m³)', 'soil_temperature_0_to_7cm (°C)', 'direct_normal_irradiance (W/m²)', 'temperature_2m (°C)', 'windspeed_10m (km/h)', 'winddirection_100m (°)', 'soil_temperature_7_to_28cm (°C)', 'cloudcover_high (%)', 'pressure_msl (hPa)', 'windgusts_10m (km/h)', 'vapor_pressure_deficit (kPa)', 'surface_pressure (hPa)', 'cloudcover_mid (%)', 'snowfall (cm)', 'soil_moisture_28_to_100cm (m³/m³)', 'shortwave_radiation (W/m²)', 'diffuse_radiation (W/m²)', 'winddirection_10m (°)'}) and 13 missing columns ({'temperature_2m_min (°C)', 'apparent_temperature_max (°C)', 'temperature_2m_max (°C)', 'winddirection_10m_dominant (°)', 'shortwave_radiation_sum (MJ/m²)', 'elevation', 'sunrise (iso8601)', 'sunset (iso8601)', 'windspeed_10m_max (km/h)', 'snowfall_sum (cm)', 'rain_sum (mm)', 'apparent_temperature_min (°C)', 'windgusts_10m_max (km/h)'}).

This happened while the csv dataset builder was generating data using

hf://datasets/elskow/Weather4cast/train_hourly.csv (at revision 763c2084a6b03532f4b6277818b03e5263d229d3)

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
              time: string
              temperature_2m (°C): double
              relativehumidity_2m (%): double
              dewpoint_2m (°C): double
              apparent_temperature (°C): double
              pressure_msl (hPa): double
              surface_pressure (hPa): double
              snowfall (cm): double
              cloudcover (%): double
              cloudcover_low (%): double
              cloudcover_mid (%): double
              cloudcover_high (%): double
              shortwave_radiation (W/m²): double
              direct_radiation (W/m²): double
              diffuse_radiation (W/m²): double
              direct_normal_irradiance (W/m²): double
              windspeed_10m (km/h): double
              windspeed_100m (km/h): double
              winddirection_10m (°): double
              winddirection_100m (°): double
              windgusts_10m (km/h): double
              et0_fao_evapotranspiration (mm): double
              vapor_pressure_deficit (kPa): double
              soil_temperature_0_to_7cm (°C): double
              soil_temperature_7_to_28cm (°C): double
              soil_temperature_28_to_100cm (°C): double
              soil_temperature_100_to_255cm (°C): double
              soil_moisture_0_to_7cm (m³/m³): double
              soil_moisture_7_to_28cm (m³/m³): double
              soil_moisture_28_to_100cm (m³/m³): double
              soil_moisture_100_to_255cm (m³/m³): double
              city: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5175
              to
              {'time': Value(dtype='string', id=None), 'temperature_2m_max (°C)': Value(dtype='float64', id=None), 'temperature_2m_min (°C)': Value(dtype='float64', id=None), 'apparent_temperature_max (°C)': Value(dtype='float64', id=None), 'apparent_temperature_min (°C)': Value(dtype='float64', id=None), 'sunrise (iso8601)': Value(dtype='string', id=None), 'sunset (iso8601)': Value(dtype='string', id=None), 'shortwave_radiation_sum (MJ/m²)': Value(dtype='float64', id=None), 'rain_sum (mm)': Value(dtype='float64', id=None), 'snowfall_sum (cm)': Value(dtype='float64', id=None), 'windspeed_10m_max (km/h)': Value(dtype='float64', id=None), 'windgusts_10m_max (km/h)': Value(dtype='float64', id=None), 'winddirection_10m_dominant (°)': Value(dtype='float64', id=None), 'et0_fao_evapotranspiration (mm)': Value(dtype='float64', id=None), 'elevation': Value(dtype='int64', id=None), 'city': Value(dtype='string', 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 29 new columns ({'soil_moisture_7_to_28cm (m³/m³)', 'direct_radiation (W/m²)', 'apparent_temperature (°C)', 'soil_temperature_100_to_255cm (°C)', 'cloudcover_low (%)', 'soil_temperature_28_to_100cm (°C)', 'cloudcover (%)', 'relativehumidity_2m (%)', 'dewpoint_2m (°C)', 'soil_moisture_100_to_255cm (m³/m³)', 'windspeed_100m (km/h)', 'soil_moisture_0_to_7cm (m³/m³)', 'soil_temperature_0_to_7cm (°C)', 'direct_normal_irradiance (W/m²)', 'temperature_2m (°C)', 'windspeed_10m (km/h)', 'winddirection_100m (°)', 'soil_temperature_7_to_28cm (°C)', 'cloudcover_high (%)', 'pressure_msl (hPa)', 'windgusts_10m (km/h)', 'vapor_pressure_deficit (kPa)', 'surface_pressure (hPa)', 'cloudcover_mid (%)', 'snowfall (cm)', 'soil_moisture_28_to_100cm (m³/m³)', 'shortwave_radiation (W/m²)', 'diffuse_radiation (W/m²)', 'winddirection_10m (°)'}) and 13 missing columns ({'temperature_2m_min (°C)', 'apparent_temperature_max (°C)', 'temperature_2m_max (°C)', 'winddirection_10m_dominant (°)', 'shortwave_radiation_sum (MJ/m²)', 'elevation', 'sunrise (iso8601)', 'sunset (iso8601)', 'windspeed_10m_max (km/h)', 'snowfall_sum (cm)', 'rain_sum (mm)', 'apparent_temperature_min (°C)', 'windgusts_10m_max (km/h)'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/elskow/Weather4cast/train_hourly.csv (at revision 763c2084a6b03532f4b6277818b03e5263d229d3)
              
              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.

time
string
temperature_2m_max (°C)
float64
temperature_2m_min (°C)
float64
apparent_temperature_max (°C)
float64
apparent_temperature_min (°C)
float64
sunrise (iso8601)
string
sunset (iso8601)
string
shortwave_radiation_sum (MJ/m²)
float64
rain_sum (mm)
float64
snowfall_sum (cm)
float64
windspeed_10m_max (km/h)
float64
windgusts_10m_max (km/h)
float64
winddirection_10m_dominant (°)
float64
et0_fao_evapotranspiration (mm)
float64
elevation
int64
city
string
2018-01-01
29.9
26
36.3
31.6
2018-01-01T05:15
2018-01-01T17:49
17.59
7.7
0
6.9
20.2
277
3.61
0
su
2018-01-02
30.6
25.7
37.7
31.2
2018-01-02T05:15
2018-01-02T17:50
19.87
9.4
0
7.1
18
168
4.11
0
su
2018-01-03
31.8
25.9
40.3
31.7
2018-01-03T05:16
2018-01-03T17:50
20.44
7.8
0
8.1
21.2
125
4.23
0
su
2018-01-04
30.8
26
39.1
31.6
2018-01-04T05:16
2018-01-04T17:50
20.44
29.7
0
7.2
21.6
190
4.22
0
su
2018-01-05
30.9
25.2
37.6
29.9
2018-01-05T05:17
2018-01-05T17:51
20.1
22.5
0
6.9
21.2
241
4.16
0
su
2018-01-06
31
25.6
38.1
30.9
2018-01-06T05:17
2018-01-06T17:51
19.81
8.7
0
10.3
20.2
253
4.08
0
su
2018-01-07
29.3
25.1
34.7
29.9
2018-01-07T05:18
2018-01-07T17:52
13.01
7.8
0
10.6
22.7
284
2.78
0
su
2018-01-08
31.4
25.4
38
30.6
2018-01-08T05:18
2018-01-08T17:52
19.78
6.4
0
7.1
17.6
133
4.21
0
su
2018-01-09
31.9
25.7
39.3
31.2
2018-01-09T05:19
2018-01-09T17:52
20.13
9.1
0
12.1
25.6
272
4.22
0
su
2018-01-10
31.9
25.5
36.9
29.8
2018-01-10T05:19
2018-01-10T17:53
19.46
10.1
0
14.8
34.2
278
4.24
0
su
2018-01-11
30.8
25.2
35.1
29.3
2018-01-11T05:20
2018-01-11T17:53
14.15
4.2
0
14.9
35.6
276
3.16
0
su
2018-01-12
30.7
24.7
36.1
28.8
2018-01-12T05:20
2018-01-12T17:53
15.45
3.1
0
11.3
45.4
280
3.5
0
su
2018-01-13
29.9
25.9
33.8
30.5
2018-01-13T05:21
2018-01-13T17:53
14.65
2.6
0
20.6
43.9
279
3.3
0
su
2018-01-14
30.6
25.8
36.3
29.9
2018-01-14T05:21
2018-01-14T17:54
16.18
4.2
0
14.2
31.7
277
3.54
0
su
2018-01-15
30.6
25.6
35.7
30.1
2018-01-15T05:22
2018-01-15T17:54
16.94
4
0
15.6
30.2
290
3.61
0
su
2018-01-16
31.1
25.7
36.8
29.7
2018-01-16T05:22
2018-01-16T17:54
20.66
2
0
18.8
33.1
287
4.44
0
su
2018-01-17
31.8
26
37.8
30.3
2018-01-17T05:23
2018-01-17T17:54
19.81
5.3
0
12.8
27
272
4.36
0
su
2018-01-18
31.3
25.6
37.6
30.3
2018-01-18T05:23
2018-01-18T17:55
21.78
17.8
0
15
34.9
284
4.41
0
su
2018-01-19
31.2
25.3
37.7
29.3
2018-01-19T05:24
2018-01-19T17:55
16.7
32
0
13.7
27.7
274
3.53
0
su
2018-01-20
29.6
24.9
34.8
29.1
2018-01-20T05:24
2018-01-20T17:55
15.2
21.7
0
12.3
32.8
279
3.17
0
su
2018-01-21
29.9
25.4
33.7
30.1
2018-01-21T05:25
2018-01-21T17:55
16.28
4.9
0
17.1
34.9
283
3.61
0
su
2018-01-22
29.6
26.1
34.4
30.4
2018-01-22T05:25
2018-01-22T17:55
13.37
6.5
0
18.2
41.8
289
3.03
0
su
2018-01-23
30.3
25.2
35.2
29.7
2018-01-23T05:25
2018-01-23T17:55
15.77
7.7
0
21
41.4
294
3.29
0
su
2018-01-24
30.3
25.8
36
30.3
2018-01-24T05:26
2018-01-24T17:55
18.59
7.4
0
17.1
38.5
286
3.84
0
su
2018-01-25
29.8
25.7
34.6
29.6
2018-01-25T05:26
2018-01-25T17:56
16.93
4.9
0
22.2
53.6
280
3.56
0
su
2018-01-26
29.9
26
35.1
30.2
2018-01-26T05:26
2018-01-26T17:56
20.85
6.1
0
21.4
41.8
295
4.28
0
su
2018-01-27
30.8
25.8
35.1
29.8
2018-01-27T05:27
2018-01-27T17:56
18.97
5.6
0
23.5
54
292
4.2
0
su
2018-01-28
30.5
26
34.9
30.1
2018-01-28T05:27
2018-01-28T17:56
16.95
15.4
0
26.5
55.8
293
3.84
0
su
2018-01-29
30.5
26.4
35.3
30
2018-01-29T05:28
2018-01-29T17:56
16.61
6.3
0
24.7
51.5
288
3.83
0
su
2018-01-30
31.4
25.6
36.3
29.5
2018-01-30T05:28
2018-01-30T17:56
20.5
2.7
0
25
45.4
294
4.41
0
su
2018-01-31
30.1
25.1
34.7
28.1
2018-01-31T05:28
2018-01-31T17:56
18.62
5.7
0
22.4
53.3
294
3.98
0
su
2018-02-01
29.3
25.8
34.4
29.8
2018-02-01T05:28
2018-02-01T17:56
15.7
11.6
0
21.1
47.5
288
3.29
0
su
2018-02-02
30.7
25
36.4
29.2
2018-02-02T05:29
2018-02-02T17:56
20.67
9.1
0
18.8
45
287
4.22
0
su
2018-02-03
29.5
25.1
35
29.4
2018-02-03T05:29
2018-02-03T17:56
17.83
16.9
0
20.7
43.6
281
3.58
0
su
2018-02-04
31.3
25.2
37.1
30.3
2018-02-04T05:29
2018-02-04T17:56
21.86
6.5
0
16.7
36
276
4.45
0
su
2018-02-05
30.7
25.4
36.9
30.2
2018-02-05T05:30
2018-02-05T17:55
19.09
20.6
0
15.2
30.2
280
4.01
0
su
2018-02-06
30
24.8
33.7
28.5
2018-02-06T05:30
2018-02-06T17:55
12.84
0.5
0
19.8
36.7
280
3.04
0
su
2018-02-07
30.9
25
36
28.9
2018-02-07T05:30
2018-02-07T17:55
22.02
6.8
0
19.5
35.3
288
4.56
0
su
2018-02-08
28.4
24.9
32.7
29.2
2018-02-08T05:30
2018-02-08T17:55
12.03
5.9
0
16.9
31.3
284
2.52
0
su
2018-02-09
31.2
24.6
36.9
28.9
2018-02-09T05:31
2018-02-09T17:55
18.09
8.7
0
15.6
29.5
287
3.71
0
su
2018-02-10
31.1
24.6
37.8
29.3
2018-02-10T05:31
2018-02-10T17:55
20.97
3.8
0
11.2
23.4
286
4.34
0
su
2018-02-11
30.3
25.1
35.3
29.3
2018-02-11T05:31
2018-02-11T17:55
16.52
6.8
0
17.8
34.2
297
3.51
0
su
2018-02-12
29.8
25.1
33.9
29.3
2018-02-12T05:31
2018-02-12T17:54
17.23
3.6
0
22.2
39.6
285
3.78
0
su
2018-02-13
31
25.7
35.5
29.7
2018-02-13T05:31
2018-02-13T17:54
22.29
9.4
0
20.9
40
284
4.63
0
su
2018-02-14
31.8
25.2
36.2
29.1
2018-02-14T05:31
2018-02-14T17:54
16.53
1.1
0
19
36.7
286
3.87
0
su
2018-02-15
30.8
24.6
36.6
28
2018-02-15T05:32
2018-02-15T17:54
17.98
16.2
0
19.5
38.5
283
3.79
0
su
2018-02-16
29.7
24.5
33.8
28
2018-02-16T05:32
2018-02-16T17:53
15.45
4
0
21.3
42.5
285
3.48
0
su
2018-02-17
31.4
24.9
37
29
2018-02-17T05:32
2018-02-17T17:53
22.91
4.5
0
20.4
38.9
285
4.61
0
su
2018-02-18
31.5
25.5
37.1
30.4
2018-02-18T05:32
2018-02-18T17:53
20.83
0.8
0
14.3
28.8
288
4.33
0
su
2018-02-19
31.2
25.6
38.6
30.5
2018-02-19T05:32
2018-02-19T17:53
23.14
10
0
9
23
280
4.71
0
su
2018-02-20
31.9
25.2
39.5
30.2
2018-02-20T05:32
2018-02-20T17:52
21.02
12.4
0
11.6
27.4
288
4.29
0
su
2018-02-21
31.3
25.4
38.9
30.6
2018-02-21T05:32
2018-02-21T17:52
21.81
9.4
0
8.3
23
295
4.46
0
su
2018-02-22
31.4
25.1
38.5
29.6
2018-02-22T05:32
2018-02-22T17:52
17.87
9.4
0
7.5
20.5
266
3.76
0
su
2018-02-23
30.5
24.2
37
28.2
2018-02-23T05:32
2018-02-23T17:51
17.07
16.3
0
11.3
24.1
276
3.65
0
su
2018-02-24
28.7
25.5
34.3
30.6
2018-02-24T05:32
2018-02-24T17:51
14.93
9.7
0
11.5
24.5
292
3.04
0
su
2018-02-25
31
25
38
29.8
2018-02-25T05:32
2018-02-25T17:51
18.55
6.2
0
9.8
18
267
3.9
0
su
2018-02-26
29.1
25.2
35.4
29.8
2018-02-26T05:32
2018-02-26T17:50
15.89
6.3
0
9.7
21.2
269
3.28
0
su
2018-02-27
31.8
25
38.8
29.9
2018-02-27T05:33
2018-02-27T17:50
20.74
1
0
6.6
16.2
238
4.31
0
su
2018-02-28
30.3
25.8
38.1
31.5
2018-02-28T05:33
2018-02-28T17:50
22.82
3.6
0
9.4
20.2
276
4.6
0
su
2018-03-01
30.1
25.6
37.5
31.4
2018-03-01T05:33
2018-03-01T17:49
15.48
12.1
0
11.2
23.8
301
3.23
0
su
2018-03-02
32
26
39.6
31.1
2018-03-02T05:33
2018-03-02T17:49
22.36
2.4
0
10.3
20.9
288
4.63
0
su
2018-03-03
29.4
26.3
36
32.3
2018-03-03T05:33
2018-03-03T17:48
16.4
4.9
0
9.7
19.1
338
3.37
0
su
2018-03-04
32
25.8
40.3
31.1
2018-03-04T05:33
2018-03-04T17:48
20.9
5.2
0
6.2
23.8
253
4.35
0
su
2018-03-05
29.9
25.9
38.8
31.4
2018-03-05T05:33
2018-03-05T17:48
21.3
41.7
0
10.2
20.9
230
4.38
0
su
2018-03-06
32.1
25.1
39.8
30.7
2018-03-06T05:32
2018-03-06T17:47
23.06
2.8
0
10.3
21.6
278
4.88
0
su
2018-03-07
30.5
25.8
38.2
30.1
2018-03-07T05:32
2018-03-07T17:47
18.84
25.7
0
10.8
21.2
280
3.96
0
su
2018-03-08
31.6
25.3
38.5
29.9
2018-03-08T05:32
2018-03-08T17:46
17.98
10.4
0
12.5
27
281
3.78
0
su
2018-03-09
31.3
25.8
38.3
30.7
2018-03-09T05:32
2018-03-09T17:46
18.99
9
0
9.7
19.4
285
3.97
0
su
2018-03-10
31.6
25.5
38.5
30.2
2018-03-10T05:32
2018-03-10T17:45
19.88
13.1
0
10
19.4
274
4.14
0
su
2018-03-11
30
25.1
35.7
29.8
2018-03-11T05:32
2018-03-11T17:45
14.24
4.7
0
6.9
16.9
274
2.97
0
su
2018-03-12
29.1
26
36
31.5
2018-03-12T05:32
2018-03-12T17:44
15.88
21
0
7.5
19.8
239
3.31
0
su
2018-03-13
29.6
26
38.3
31
2018-03-13T05:32
2018-03-13T17:44
15.7
29.7
0
13.4
25.6
200
3.28
0
su
2018-03-14
31.8
25.3
38.5
30.5
2018-03-14T05:32
2018-03-14T17:43
19.81
8
0
8
22
263
4.2
0
su
2018-03-15
32.3
26.3
39.6
31.7
2018-03-15T05:32
2018-03-15T17:43
23.41
1
0
6
17.6
290
4.89
0
su
2018-03-16
31
25.8
38
31
2018-03-16T05:32
2018-03-16T17:43
20.88
8.8
0
7.9
22
270
4.38
0
su
2018-03-17
30.6
24.3
37.2
29.2
2018-03-17T05:32
2018-03-17T17:42
17.42
13.7
0
9.4
25.9
266
3.57
0
su
2018-03-18
31.7
24.3
39.2
29.4
2018-03-18T05:32
2018-03-18T17:42
20.52
5.6
0
8.3
23.8
139
4.32
0
su
2018-03-19
32.2
26.2
40.3
31.3
2018-03-19T05:32
2018-03-19T17:41
24.12
1.1
0
7.6
18.4
273
5.06
0
su
2018-03-20
32.9
26.3
39.7
31.6
2018-03-20T05:32
2018-03-20T17:41
25.21
0.6
0
10.4
20.5
299
5.35
0
su
2018-03-21
31.9
26.4
36.7
30.9
2018-03-21T05:31
2018-03-21T17:40
19.26
9.3
0
20
36.7
301
4.06
0
su
2018-03-22
30.3
25.8
34.8
30.3
2018-03-22T05:31
2018-03-22T17:40
11.01
8.6
0
18.4
35.3
293
2.59
0
su
2018-03-23
32
25
40
29.8
2018-03-23T05:31
2018-03-23T17:39
23.25
2.4
0
9
20.2
255
4.82
0
su
2018-03-24
31.6
26.9
39.2
32.9
2018-03-24T05:31
2018-03-24T17:39
19.85
4.4
0
7.3
21.6
270
4.13
0
su
2018-03-25
30.3
26.3
38.3
31.9
2018-03-25T05:31
2018-03-25T17:38
21.81
30.1
0
9.2
19.4
245
4.47
0
su
2018-03-26
31
25.5
38.4
31.1
2018-03-26T05:31
2018-03-26T17:38
17.22
3.4
0
6.6
18
282
3.63
0
su
2018-03-27
29.6
26.6
36.1
32.1
2018-03-27T05:31
2018-03-27T17:37
15.25
6.2
0
8.7
18.7
278
3.23
0
su
2018-03-28
32.5
26
39.5
31.3
2018-03-28T05:31
2018-03-28T17:37
21.96
3.2
0
8
20.5
285
4.61
0
su
2018-03-29
32.6
26.2
40.2
32.1
2018-03-29T05:31
2018-03-29T17:36
24
2.1
0
7.9
19.4
289
5.1
0
su
2018-03-30
31.5
26.5
39.1
31.6
2018-03-30T05:31
2018-03-30T17:36
22.09
4.3
0
11.9
23.4
286
4.58
0
su
2018-03-31
32.1
25.6
38.8
30.4
2018-03-31T05:30
2018-03-31T17:35
23.44
4.9
0
14.5
28.4
286
4.8
0
su
2018-04-01
32
25.8
40
31.2
2018-04-01T05:30
2018-04-01T17:35
21.72
5.3
0
13.8
29.2
269
4.5
0
su
2018-04-02
32.4
25.4
40.4
31.1
2018-04-02T05:30
2018-04-02T17:34
21.9
18.9
0
10.2
24.5
264
4.52
0
su
2018-04-03
31.7
25.3
39.2
30.5
2018-04-03T05:30
2018-04-03T17:34
20.96
4
0
7.2
22.3
285
4.38
0
su
2018-04-04
32.4
26
39.9
31.6
2018-04-04T05:30
2018-04-04T17:33
22.56
0.9
0
7.2
16.9
149
4.82
0
su
2018-04-05
33
27
40
32.7
2018-04-05T05:30
2018-04-05T17:33
23.39
0.3
0
11.1
17.3
128
5.16
0
su
2018-04-06
31.9
27.3
39.5
32.8
2018-04-06T05:30
2018-04-06T17:32
23.09
1.8
0
11.3
19.4
120
5
0
su
2018-04-07
31.5
26.3
38.3
31.6
2018-04-07T05:30
2018-04-07T17:32
20.09
5.3
0
12.8
26.3
104
4.32
0
su
2018-04-08
32
24.8
37.5
29.5
2018-04-08T05:30
2018-04-08T17:31
19.17
15.6
0
11.6
29.9
109
4.18
0
su
2018-04-09
32.3
26.6
38.2
32.1
2018-04-09T05:30
2018-04-09T17:31
19.59
4.3
0
11.3
31.3
126
4.21
0
su
2018-04-10
32.8
27.1
39
32.7
2018-04-10T05:29
2018-04-10T17:30
22.53
0
0
8.7
16.6
131
4.91
0
su
End of preview.

This repository contains the dataset of weather forecasting competition - Datavidia 2022

Deskripsi File

  • train.csv - Data yang digunakan untuk melatih model berisi fitur-fitur dan target
  • train_hourly.csv - Data tambahan berisi fitur-fitur untuk setiap jam
  • test.csv - Data uji yang berisi fitur-fitur untuk prediksi target
  • test_hourly.csv - Data tambahan berisi fitur-fitur untuk setiap jam pada tanggal-tanggal yang termasuk dalam test.csv
  • sample_submission.csv - File berisi contoh submisi untuk kompetisi ini

Deskripsi Fitur

train.csv

  • time – Tanggal pencatatan
  • temperature_2m_max (°C) – Temperatur udara tertinggi pada ketinggian 2 m di atas permukaan
  • temperature_2m_min (°C) – Temperatur udara terendah pada ketinggian 2 m di atas permukaan
  • apparent_temperature_max (°C) – Temperatur semu maksimum yang terasa
  • apparent_temperature_min (°C) – Temperatur semu minimum yang terasa
  • sunrise (iso8601) – Waktu matahari terbit pada hari itu dengan format ISO 8601
  • sunset (iso8601) – Waktu matahari tenggelam pada hari itu dengan format ISO 8601
  • shortwave_radiation_sum (MJ/m²) – Total radiasi matahari pada hari tersebut
  • rain_sum (mm) – Jumlah curah hujan pada hari tersebut
  • snowfall_sum (cm) – Jumlah hujan salju pada hari tersebut
  • windspeed_10m_max (km/h) – Kecepatan angin maksimum pada ketinggian 10 m
  • windgusts_10m_max (km/h) - Kecepatan angin minimum pada ketinggian 10 m
  • winddirection_10m_dominant (°) – Arah angin dominan pada hari tersebut
  • et0_fao_evapotranspiration (mm) – Jumlah evaporasi dan transpirasi pada hari tersebut
  • elevation – Ketinggian kota yang tercatat
  • city – Nama kota yang tercatat

train_hourly.csv

  • time – Tanggal dan jam pencatatan
  • temperature_2m (°C) – Temperatur pada ketinggian 2 m
  • relativehumidity_2m (%) – Kelembapan pada ketinggian 2 m
  • dewpoint_2m (°C) – Titik embun; suhu ambang udara mengembun
  • apparent_temperature (°C) – Temperatur semu yang dirasakan
  • pressure_msl (hPa) – Tekanan udara pada ketinggian permukaan air laut rata-rata (mean sea level)
  • surface_pressure (hPa) – Tekanan udara pada ketinggian permukaan daerah tersebut
  • snowfall (cm) – Jumlah hujan salju pada jam tersebut
  • cloudcover (%) – Persentase awan yang menutupi langit
  • cloudcover_low (%) – Persentase cloud cover pada awan sampai ketinggian 2 km
  • cloudcover_mid (%) – Persentase cloud cover pada ketinggian 2-6 km
  • cloudcover_high (%) – Persentase cloud cover pada ketinggian di atas 6 km
  • shortwave_radiation (W/m²) – Rata-rata energi pancaran matahari pada gelombang inframerah hingga ultraviolet
  • direct_radiation (W/m²) – Rata-rata pancaran matahari langsung pada permukaan tanah seluas 1 m2
  • diffuse_radiation (W/m²) – Rata-rata pancaran matahari yang dihamburkan oleh permukaan dan atmosfer
  • direct_normal_irradiance (W/m²) – Rata-rata pancaran matahari langsung pada luas 1 m2 tegak lurus dengan arah pancaran
  • windspeed_10m (km/h) – Kecepatan angin pada ketinggian 10 m
  • windspeed_100m (km/h) – Kecepatan angin pada ketinggian 100 m
  • winddirection_10m (°) – Arah angin pada ketinggian 10 m
  • winddirection_100m (°) – Arah angin pada ketinggian 100 m
  • windgusts_10m (km/h) – Kecepatan angin ketika terdapat angin kencang
  • et0_fao_evapotranspiration (mm) – Jumlah evapotranspirasi (evaporasi dan transpirasi) pada jam tersebut
  • vapor_pressure_deficit (kPa) – Perbedaan tekanan uap air dari udara dengan tekanan uap air ketika udara tersaturasi
  • soil_temperature_0_to_7cm (°C) – Rata-rata temperatur tanah pada kedalaman 0-7 cm
  • soil_temperature_7_to_28cm (°C) – Rata-rata temperatur tanah pada kedalaman 7-28 cm
  • soil_temperature_28_to_100cm (°C) – Rata-rata temperatur tanah pada kedalaman 28-100 cm
  • soil_temperature_100_to_255cm (°C) – Rata-rata temperatur tanah pada kedalaman 100-255 cm
  • soil_moisture_0_to_7cm (m³/m³) – Rata-rata kelembapan air pada tanah untuk kedalaman 0-7 cm
  • soil_moisture_7_to_28cm (m³/m³) – Rata-rata kelembapan air pada tanah untuk kedalaman 7-28 cm
  • soil_moisture_28_to_100cm (m³/m³) – Rata-rata kelembapan air pada tanah untuk kedalaman 28-100 cm
  • soil_moisture_100_to_255cm (m³/m³) – Rata-rata kelembapan air pada tanah untuk kedalaman 100-255 cm
  • city – Nama kota
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