Dataset Preview
Full Screen
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 4 new columns ({'Amounts_(m3)', 'Years', 'Districts', 'Months'}) and 7 missing columns ({'Volume', 'Adj Close', 'Open', 'Date', 'Close', 'High', 'Low'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Bmurug3/Timeseris/Time seris /Gas_consuption/train.csv (at revision 05d6a10a39a53fcfad9bc144187b7c08092c0566)

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
              ID: int64
              Years: int64
              Months: int64
              Districts: string
              Amounts_(m3): double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 822
              to
              {'ID': Value(dtype='int64', id=None), 'Date': Value(dtype='string', id=None), 'Open': Value(dtype='float64', id=None), 'High': Value(dtype='float64', id=None), 'Low': Value(dtype='float64', id=None), 'Close': Value(dtype='float64', id=None), 'Adj Close': Value(dtype='float64', id=None), 'Volume': Value(dtype='int64', 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 1577, 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 1191, 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 4 new columns ({'Amounts_(m3)', 'Years', 'Districts', 'Months'}) and 7 missing columns ({'Volume', 'Adj Close', 'Open', 'Date', 'Close', 'High', 'Low'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Bmurug3/Timeseris/Time seris /Gas_consuption/train.csv (at revision 05d6a10a39a53fcfad9bc144187b7c08092c0566)
              
              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.

ID
int64
Date
string
Open
float64
High
float64
Low
float64
Close
float64
Adj Close
float64
Volume
int64
1
2014-09-17
465.864014
468.174011
452.421997
457.334015
457.334015
21,056,800
2
2014-09-18
456.859985
456.859985
413.104004
424.440002
424.440002
34,483,200
3
2014-09-19
424.102997
427.834991
384.532013
394.79599
394.79599
37,919,700
4
2014-09-20
394.673004
423.29599
389.882996
408.903992
408.903992
36,863,600
5
2014-09-21
408.084991
412.425995
393.181
398.821014
398.821014
26,580,100
6
2014-09-22
399.100006
406.915985
397.130005
402.152008
402.152008
24,127,600
7
2014-09-23
402.09201
441.557007
396.196991
435.790985
435.790985
45,099,500
8
2014-09-24
435.751007
436.112
421.131989
423.204987
423.204987
30,627,700
9
2014-09-25
423.156006
423.519989
409.467987
411.574005
411.574005
26,814,400
10
2014-09-26
411.428986
414.937988
400.009003
404.424988
404.424988
21,460,800
11
2014-09-27
403.556
406.622986
397.372009
399.519989
399.519989
15,029,300
12
2014-09-28
399.471008
401.016998
374.332001
377.181
377.181
23,613,300
13
2014-09-29
376.928009
385.210999
372.23999
375.46701
375.46701
32,497,700
14
2014-09-30
376.088013
390.97699
373.442993
386.944
386.944
34,707,300
15
2014-10-01
387.427002
391.378998
380.779999
383.61499
383.61499
26,229,400
16
2014-10-02
383.988007
385.497009
372.946014
375.071991
375.071991
21,777,700
17
2014-10-03
375.181
377.695007
357.859009
359.511993
359.511993
30,901,200
18
2014-10-04
359.891998
364.487
325.885986
328.865997
328.865997
47,236,500
19
2014-10-05
328.915985
341.800995
289.29599
320.51001
320.51001
83,308,096
20
2014-10-06
320.389008
345.134003
302.559998
330.07901
330.07901
79,011,800
21
2014-10-07
330.584015
339.247009
320.481995
336.187012
336.187012
49,199,900
22
2014-10-08
336.115997
354.364014
327.187988
352.940002
352.940002
54,736,300
23
2014-10-09
352.747986
382.726013
347.687012
365.026001
365.026001
83,641,104
24
2014-10-10
364.687012
375.066986
352.963013
361.562012
361.562012
43,665,700
25
2014-10-11
361.362
367.19101
355.950989
362.299011
362.299011
13,345,200
26
2014-10-12
362.605988
379.433014
356.144012
378.549011
378.549011
17,552,800
27
2014-10-13
377.92099
397.226013
368.897003
390.414001
390.414001
35,221,400
28
2014-10-14
391.691986
411.697998
391.324005
400.869995
400.869995
38,491,500
29
2014-10-15
400.954987
402.22699
388.765991
394.77301
394.77301
25,267,100
30
2014-10-16
394.518005
398.807007
373.070007
382.556
382.556
26,990,000
31
2014-10-17
382.756012
385.477997
375.389008
383.757996
383.757996
13,600,700
32
2014-10-18
383.976013
395.15799
378.971008
391.441986
391.441986
11,416,800
33
2014-10-19
391.253998
393.938995
386.457001
389.54599
389.54599
5,914,570
34
2014-10-20
389.230988
390.084015
378.252014
382.845001
382.845001
16,419,000
35
2014-10-21
382.42099
392.645996
380.834015
386.475006
386.475006
14,188,900
36
2014-10-22
386.118011
388.575989
382.248993
383.15799
383.15799
11,641,300
37
2014-10-23
382.962006
385.048004
356.446991
358.416992
358.416992
26,456,900
38
2014-10-24
358.591003
364.345001
353.304993
358.345001
358.345001
15,585,700
39
2014-10-25
358.610992
359.860992
342.877014
347.270996
347.270996
18,127,500
40
2014-10-26
347.487
359.221008
343.931
354.70401
354.70401
11,272,500
41
2014-10-27
354.777008
358.631989
349.80899
352.989014
352.989014
13,033,000
42
2014-10-28
353.214996
359.984009
352.678986
357.618011
357.618011
7,845,880
43
2014-10-29
357.088989
357.833008
335.342987
335.591003
335.591003
18,192,700
44
2014-10-30
335.709015
350.912994
335.071991
345.304993
345.304993
30,177,900
45
2014-10-31
345.009003
348.045013
337.141998
338.321014
338.321014
12,545,400
46
2014-11-01
338.649994
340.528992
321.054993
325.748993
325.748993
16,677,200
47
2014-11-02
326.075012
329.049988
320.626007
325.891998
325.891998
8,603,620
48
2014-11-03
325.569
334.002014
325.480988
327.553986
327.553986
12,948,500
49
2014-11-04
327.161011
331.766998
325.076996
330.492004
330.492004
15,655,500
50
2014-11-05
330.683014
343.368988
330.683014
339.485992
339.485992
19,817,200
51
2014-11-06
339.458008
352.966003
338.424011
349.290009
349.290009
18,797,000
52
2014-11-07
349.817993
352.731995
341.776001
342.415009
342.415009
16,834,200
53
2014-11-08
342.153992
347.032013
342.153992
345.488007
345.488007
8,535,470
54
2014-11-09
345.376007
363.626007
344.255005
363.264008
363.264008
24,205,600
55
2014-11-10
362.265015
374.81601
357.561005
366.924011
366.924011
30,450,100
56
2014-11-11
365.856995
371.309998
363.734985
367.695007
367.695007
15,838,900
57
2014-11-12
367.984985
429.717987
367.984985
423.561005
423.561005
45,783,200
58
2014-11-13
427.27301
457.092987
401.122986
420.734985
420.734985
58,945,000
59
2014-11-14
418.416992
419.252014
384.789001
397.817993
397.817993
29,589,200
60
2014-11-15
399.649994
405.528015
371.007996
376.132996
376.132996
15,727,500
61
2014-11-16
374.730011
390.799011
374.60199
387.881989
387.881989
11,905,600
62
2014-11-17
388.348999
410.199005
377.502014
387.40799
387.40799
41,518,800
63
2014-11-18
387.785004
392.402008
371.117004
375.197998
375.197998
32,222,500
64
2014-11-19
373.895996
386.480988
373.895996
380.554993
380.554993
18,931,800
65
2014-11-20
380.307007
382.024994
356.781006
357.839996
357.839996
25,233,200
66
2014-11-21
357.878998
357.878998
344.112
350.847992
350.847992
29,850,100
67
2014-11-22
351.604004
364.841003
350.877991
352.920013
352.920013
15,273,000
68
2014-11-23
353.174988
370.845001
353.174988
367.572998
367.572998
15,151,600
69
2014-11-24
366.947998
387.209015
366.669006
376.901001
376.901001
30,930,100
70
2014-11-25
376.885986
394.700989
374.783997
375.347992
375.347992
25,442,200
71
2014-11-26
376.019012
377.697998
365.81601
368.369995
368.369995
18,601,700
72
2014-11-27
370.502014
373.992004
368.282013
369.670013
369.670013
8,748,030
73
2014-11-28
369.373993
382.838013
358.454987
376.446991
376.446991
22,946,500
74
2014-11-29
376.152008
387.601013
372.144989
375.490997
375.490997
15,375,600
75
2014-11-30
375.51001
382.527008
373.30899
378.046997
378.046997
9,194,440
76
2014-12-01
378.248993
383.661987
376.669006
379.244995
379.244995
11,763,000
77
2014-12-02
379.25
384.037994
377.863007
381.315002
381.315002
12,364,100
78
2014-12-03
381.721985
383.026001
374.346008
375.01001
375.01001
13,340,100
79
2014-12-04
375.717987
378.654999
367.759003
369.604004
369.604004
14,529,600
80
2014-12-05
369.441986
379.191986
365.756012
376.854004
376.854004
15,181,800
81
2014-12-06
376.756989
378.447998
370.945007
374.785004
374.785004
7,009,320
82
2014-12-07
374.835999
376.291992
373.274994
375.095001
375.095001
6,491,650
83
2014-12-08
374.964996
376.028992
361.885986
361.908997
361.908997
18,898,700
84
2014-12-09
361.894989
363.066986
344.950989
352.218994
352.218994
32,915,500
85
2014-12-10
352.204987
352.384003
346.36499
346.36499
346.36499
16,427,700
86
2014-12-11
344.339996
361.356995
338.763
350.506012
350.506012
32,431,300
87
2014-12-12
350.833008
352.983002
349.290985
352.541992
352.541992
16,989,800
88
2014-12-13
352.381012
352.381012
346.588013
347.376007
347.376007
11,675,900
89
2014-12-14
346.72699
353.31601
345.417999
351.631989
351.631989
12,415,200
90
2014-12-15
351.360992
351.815002
344.93399
345.345001
345.345001
17,264,200
91
2014-12-16
345.673004
345.859009
327.062012
327.062012
327.062012
30,864,900
92
2014-12-17
326.855011
333.95401
315.152008
319.776001
319.776001
37,567,900
93
2014-12-18
319.785004
323.709015
304.231995
311.395996
311.395996
39,173,000
94
2014-12-19
311.178986
318.53299
306.769012
317.842987
317.842987
23,823,100
95
2014-12-20
317.618988
330.325012
316.044006
329.955994
329.955994
20,856,700
96
2014-12-21
329.542999
329.628998
318.903015
320.842987
320.842987
15,207,600
97
2014-12-22
321.067993
334.117004
320.424988
331.885986
331.885986
22,315,100
98
2014-12-23
332.016998
336.286987
329.60199
334.571991
334.571991
16,574,200
99
2014-12-24
334.38501
334.740997
321.356995
322.533997
322.533997
15,092,300
100
2014-12-25
322.286011
322.670013
316.958008
319.007996
319.007996
9,883,640
End of preview.
README.md exists but content is empty. Use the Edit dataset card button to edit it.
Downloads last month
37