CEA Open Data
Collection
https://www.ceaforum.org/ceaod • 8 items • Updated
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 12 new columns ({'Hypocotyl length (mm)', 'Unnamed: 12', 'Epicotyl length (mm)', 'Shoot DW (g)', 'Shoot length (mm)', '#leaf', 'Stem diameter (mm)', 'Leaf area (without cotyledons) (cm2)', 'block', 'Leaf area including cotyledons (cm2)', 'Shoot FW (g)', 'treatment'}) and 11 missing columns ({'WFL (oC)', 'Time', 'Unnamed: 2', 'RH (%)', 'UV (oC)', 'Unnamed: 1', 'CO2 (ppm)', 'LED1 (oC)', 'LED3 (oC)', 'Air (oC)', 'Day'}).
This happened while the csv dataset builder was generating data using
hf://datasets/koidra/VF_Tomato/VF_Tomato/UAzIntUVBDataKubota/IntUVBPlantDataKubotaEguchi/Growth_data.csv (at revision b8988f9f01ab4249b9a6245b2c4087036e200b4e)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
treatment: string
block: int64
ID: int64
Hypocotyl length (mm): double
Epicotyl length (mm): double
Shoot length (mm): double
#leaf: int64
Stem diameter (mm): double
Leaf area including cotyledons (cm2): double
Leaf area (without cotyledons) (cm2): double
Shoot FW (g): double
Shoot DW (g): double
Unnamed: 12: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1968
to
{'ID': Value('int64'), 'Unnamed: 1': Value('int64'), 'Unnamed: 2': Value('int64'), 'Day': Value('string'), 'Time': Value('int64'), 'LED1 (oC)': Value('float64'), 'LED3 (oC)': Value('float64'), 'WFL (oC)': Value('float64'), 'UV (oC)': Value('float64'), 'Air (oC)': Value('float64'), 'RH (%)': Value('float64'), 'CO2 (ppm)': Value('float64')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 12 new columns ({'Hypocotyl length (mm)', 'Unnamed: 12', 'Epicotyl length (mm)', 'Shoot DW (g)', 'Shoot length (mm)', '#leaf', 'Stem diameter (mm)', 'Leaf area (without cotyledons) (cm2)', 'block', 'Leaf area including cotyledons (cm2)', 'Shoot FW (g)', 'treatment'}) and 11 missing columns ({'WFL (oC)', 'Time', 'Unnamed: 2', 'RH (%)', 'UV (oC)', 'Unnamed: 1', 'CO2 (ppm)', 'LED1 (oC)', 'LED3 (oC)', 'Air (oC)', 'Day'}).
This happened while the csv dataset builder was generating data using
hf://datasets/koidra/VF_Tomato/VF_Tomato/UAzIntUVBDataKubota/IntUVBPlantDataKubotaEguchi/Growth_data.csv (at revision b8988f9f01ab4249b9a6245b2c4087036e200b4e)
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 | Unnamed: 1 int64 | Unnamed: 2 int64 | Day string | Time int64 | LED1 (oC) float64 | LED3 (oC) float64 | WFL (oC) float64 | UV (oC) float64 | Air (oC) float64 | RH (%) float64 | CO2 (ppm) float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2,016 | 177 | 6/25 | 0 | 23.01 | 23.17 | 26.18 | 23.38 | 23.26 | 61.62 | 393.4 |
2 | 2,016 | 177 | 6/25 | 15 | 24.09 | 24.07 | 26.57 | 24.07 | 23.94 | 63.33 | 391.6 |
3 | 2,016 | 177 | 6/25 | 30 | 22.29 | 22.49 | 25.55 | 22.66 | 22.27 | 64.09 | 389 |
4 | 2,016 | 177 | 6/25 | 45 | 24.41 | 24.41 | 27 | 24.5 | 24.67 | 61.19 | 390.2 |
5 | 2,016 | 177 | 6/25 | 100 | 22.21 | 22.37 | 25.33 | 22.46 | 21.97 | 65.2 | 387 |
6 | 2,016 | 177 | 6/25 | 115 | 23.54 | 23.68 | 26.56 | 23.86 | 24.02 | 60.73 | 388.7 |
7 | 2,016 | 177 | 6/25 | 130 | 23.41 | 23.43 | 26.01 | 23.42 | 22.99 | 65.2 | 386 |
8 | 2,016 | 177 | 6/25 | 145 | 22.6 | 22.79 | 25.81 | 22.97 | 22.7 | 63.08 | 386.2 |
9 | 2,016 | 177 | 6/25 | 200 | 24.27 | 24.23 | 26.7 | 24.24 | 24.23 | 62.78 | 386.8 |
10 | 2,016 | 177 | 6/25 | 215 | 22.17 | 22.38 | 25.42 | 22.53 | 22.13 | 64.45 | 385.3 |
11 | 2,016 | 177 | 6/25 | 230 | 24.47 | 24.45 | 26.97 | 24.51 | 24.64 | 61.5 | 387.6 |
12 | 2,016 | 177 | 6/25 | 245 | 22.25 | 22.41 | 25.35 | 22.51 | 22.08 | 65.1 | 385.7 |
13 | 2,016 | 177 | 6/25 | 300 | 23.49 | 23.62 | 26.53 | 23.81 | 23.96 | 60.72 | 388.5 |
14 | 2,016 | 177 | 6/25 | 315 | 23.31 | 23.33 | 25.92 | 23.32 | 22.88 | 65.41 | 387.3 |
15 | 2,016 | 177 | 6/25 | 330 | 22.77 | 22.96 | 25.95 | 23.14 | 22.94 | 62.53 | 388.9 |
16 | 2,016 | 177 | 6/25 | 345 | 24.12 | 24.08 | 26.54 | 24.07 | 24 | 63.46 | 389.8 |
17 | 2,016 | 177 | 6/25 | 400 | 22.42 | 22.61 | 25.62 | 22.76 | 22.4 | 64.22 | 389.5 |
18 | 2,016 | 177 | 6/25 | 415 | 24.49 | 24.44 | 26.94 | 24.52 | 24.62 | 61.68 | 391.6 |
19 | 2,016 | 177 | 6/25 | 430 | 22.23 | 22.41 | 25.36 | 22.49 | 22.08 | 65.22 | 389.2 |
20 | 2,016 | 177 | 6/25 | 445 | 23.73 | 23.85 | 26.65 | 24.02 | 24.21 | 60.82 | 390.7 |
21 | 2,016 | 177 | 6/25 | 500 | 23.11 | 23.17 | 25.77 | 23.13 | 22.65 | 65.62 | 387.3 |
22 | 2,016 | 177 | 6/25 | 515 | 22.88 | 23.07 | 26.04 | 23.24 | 23.08 | 62.29 | 387.1 |
23 | 2,016 | 177 | 6/25 | 530 | 24 | 23.99 | 26.43 | 23.95 | 23.83 | 64.04 | 386.4 |
24 | 2,016 | 177 | 6/25 | 545 | 22.41 | 22.62 | 25.63 | 22.77 | 22.42 | 63.98 | 384.7 |
25 | 2,016 | 177 | 6/25 | 600 | 24.39 | 24.35 | 26.77 | 24.34 | 24.4 | 62.44 | 384.9 |
26 | 2,016 | 177 | 6/25 | 615 | 22.29 | 22.49 | 25.46 | 22.62 | 22.21 | 64.89 | 382.5 |
27 | 2,016 | 177 | 6/25 | 630 | 24.28 | 24.32 | 26.89 | 24.42 | 24.61 | 61.29 | 384.5 |
28 | 2,016 | 177 | 6/25 | 645 | 22.5 | 22.63 | 25.41 | 22.65 | 22.16 | 65.65 | 382.1 |
29 | 2,016 | 177 | 6/25 | 700 | 23.4 | 23.54 | 26.41 | 23.71 | 23.8 | 61.29 | 384 |
30 | 2,016 | 177 | 6/25 | 715 | 23.58 | 23.58 | 26.07 | 23.55 | 23.19 | 65.6 | 382.4 |
31 | 2,016 | 177 | 6/25 | 730 | 22.81 | 23.02 | 25.94 | 23.16 | 22.9 | 63.6 | 381.1 |
32 | 2,016 | 177 | 6/25 | 745 | 24.41 | 24.37 | 26.76 | 24.35 | 24.34 | 63.18 | 380.2 |
33 | 2,016 | 177 | 6/25 | 800 | 22.3 | 22.52 | 25.44 | 22.62 | 22.23 | 65.28 | 377.4 |
34 | 2,016 | 177 | 6/25 | 815 | 24.21 | 24.26 | 26.87 | 24.37 | 24.56 | 61.91 | 378.7 |
35 | 2,016 | 177 | 6/25 | 830 | 22.73 | 22.83 | 25.54 | 22.83 | 22.34 | 66.14 | 376.3 |
36 | 2,016 | 177 | 6/25 | 845 | 23.1 | 23.29 | 26.19 | 23.44 | 23.37 | 62.52 | 378 |
37 | 2,016 | 177 | 6/25 | 900 | 23.94 | 23.93 | 26.37 | 23.88 | 23.66 | 65.6 | 378.2 |
38 | 2,016 | 177 | 6/25 | 915 | 22.58 | 22.77 | 25.72 | 22.9 | 22.57 | 64.95 | 378.2 |
39 | 2,016 | 177 | 6/25 | 930 | 24.17 | 24.19 | 26.79 | 24.27 | 24.41 | 63.28 | 380.2 |
40 | 2,016 | 177 | 6/25 | 945 | 17.56 | 17.96 | 21.82 | 18.24 | 17.43 | 60.64 | 375 |
41 | 2,016 | 177 | 6/25 | 1,000 | 14.25 | 14.59 | 18.06 | 14.56 | 13.57 | 58.74 | 371.5 |
42 | 2,016 | 177 | 6/25 | 1,015 | 13.27 | 13.5 | 16.5 | 13.31 | 12.3 | 62.37 | 369.9 |
43 | 2,016 | 177 | 6/25 | 1,030 | 13.59 | 13.83 | 16.79 | 13.82 | 13.2 | 69.61 | 371.6 |
44 | 2,016 | 177 | 6/25 | 1,045 | 13.62 | 13.85 | 16.7 | 13.86 | 13.33 | 72.4 | 373.9 |
45 | 2,016 | 177 | 6/25 | 1,100 | 13.69 | 13.89 | 16.71 | 13.91 | 13.5 | 74.4 | 375.6 |
46 | 2,016 | 177 | 6/25 | 1,115 | 13.93 | 14.11 | 16.82 | 14.13 | 13.68 | 76.6 | 376.9 |
47 | 2,016 | 177 | 6/25 | 1,130 | 13.96 | 14.09 | 16.71 | 14.09 | 13.58 | 77.8 | 378 |
48 | 2,016 | 177 | 6/25 | 1,145 | 13.61 | 13.74 | 16.41 | 13.71 | 13.13 | 77.4 | 378.3 |
49 | 2,016 | 177 | 6/25 | 1,200 | 13.31 | 13.48 | 16.3 | 13.5 | 13.11 | 77.2 | 380.1 |
50 | 2,016 | 177 | 6/25 | 1,215 | 13.34 | 13.5 | 16.36 | 13.54 | 13.2 | 77.5 | 382 |
51 | 2,016 | 177 | 6/25 | 1,230 | 13.61 | 13.75 | 16.57 | 13.81 | 13.56 | 78.5 | 383.9 |
52 | 2,016 | 177 | 6/25 | 1,245 | 13.83 | 13.95 | 16.71 | 14.02 | 13.77 | 79.5 | 385.3 |
53 | 2,016 | 177 | 6/25 | 1,300 | 13.98 | 14.07 | 16.7 | 14.07 | 13.65 | 80.5 | 385.6 |
54 | 2,016 | 177 | 6/25 | 1,315 | 13.54 | 13.64 | 16.36 | 13.63 | 13.15 | 79.5 | 385.6 |
55 | 2,016 | 177 | 6/25 | 1,330 | 13.35 | 13.48 | 16.32 | 13.53 | 13.2 | 78.9 | 387.2 |
56 | 2,016 | 177 | 6/25 | 1,345 | 13.46 | 13.59 | 16.43 | 13.63 | 13.38 | 79.1 | 388.8 |
57 | 2,016 | 177 | 6/25 | 1,400 | 13.64 | 13.75 | 16.57 | 13.81 | 13.62 | 79.6 | 390.9 |
58 | 2,016 | 177 | 6/25 | 1,415 | 13.98 | 14.07 | 16.79 | 14.13 | 13.9 | 80.9 | 391.8 |
59 | 2,016 | 177 | 6/25 | 1,430 | 13.95 | 14.02 | 16.69 | 14.03 | 13.66 | 80.8 | 392.3 |
60 | 2,016 | 177 | 6/25 | 1,445 | 13.63 | 13.72 | 16.43 | 13.7 | 13.3 | 79.9 | 392.8 |
61 | 2,016 | 177 | 6/25 | 1,500 | 13.43 | 13.55 | 16.36 | 13.56 | 13.28 | 79.5 | 394.4 |
62 | 2,016 | 177 | 6/25 | 1,515 | 13.49 | 13.61 | 16.43 | 13.63 | 13.39 | 79.5 | 396.5 |
63 | 2,016 | 177 | 6/25 | 1,530 | 13.74 | 13.85 | 16.62 | 13.87 | 13.64 | 80.4 | 398.6 |
64 | 2,016 | 177 | 6/25 | 1,545 | 15.62 | 15.67 | 17.96 | 15.52 | 15.31 | 83.8 | 402.4 |
65 | 2,016 | 177 | 6/25 | 1,600 | 17.45 | 17.42 | 19.77 | 17.32 | 17.43 | 82.8 | 406.7 |
66 | 2,016 | 177 | 6/25 | 1,615 | 18.83 | 18.77 | 21.16 | 18.65 | 18.88 | 80.1 | 408.4 |
67 | 2,016 | 177 | 6/25 | 1,630 | 20.01 | 19.93 | 22.36 | 19.83 | 20.1 | 77.2 | 407.6 |
68 | 2,016 | 177 | 6/25 | 1,645 | 21.13 | 21.05 | 23.5 | 20.93 | 21.22 | 74.5 | 404.2 |
69 | 2,016 | 177 | 6/25 | 1,700 | 22.18 | 22.09 | 24.57 | 21.99 | 22.32 | 71.4 | 390.5 |
70 | 2,016 | 177 | 6/25 | 1,715 | 23.06 | 22.98 | 25.49 | 22.91 | 23.25 | 69.62 | 379 |
71 | 2,016 | 177 | 6/25 | 1,730 | 23.89 | 23.81 | 26.37 | 23.79 | 24.12 | 68.24 | 370.2 |
72 | 2,016 | 177 | 6/25 | 1,745 | 22.72 | 22.84 | 25.84 | 22.95 | 22.98 | 68.9 | 363.9 |
73 | 2,016 | 177 | 6/25 | 1,800 | 23.58 | 23.54 | 26.12 | 23.48 | 23.46 | 73.9 | 360.3 |
74 | 2,016 | 177 | 6/25 | 1,815 | 22.92 | 23.04 | 26.06 | 23.12 | 23.18 | 70.1 | 360.3 |
75 | 2,016 | 177 | 6/25 | 1,830 | 23.54 | 23.55 | 26.13 | 23.47 | 23.33 | 75.6 | 359.9 |
76 | 2,016 | 177 | 6/25 | 1,845 | 22.93 | 23.1 | 26.07 | 23.14 | 23.12 | 71.4 | 361.3 |
77 | 2,016 | 177 | 6/25 | 1,900 | 23.77 | 23.79 | 26.34 | 23.7 | 23.58 | 76.1 | 362.5 |
78 | 2,016 | 177 | 6/25 | 1,915 | 22.74 | 22.94 | 25.91 | 22.97 | 22.81 | 72.8 | 363.8 |
79 | 2,016 | 177 | 6/25 | 1,930 | 24.18 | 24.17 | 26.68 | 24.07 | 24.09 | 75.4 | 365.8 |
80 | 2,016 | 177 | 6/25 | 1,945 | 22.35 | 22.59 | 25.59 | 22.63 | 22.32 | 73.6 | 366.2 |
81 | 2,016 | 177 | 6/25 | 2,000 | 24.42 | 24.42 | 26.89 | 24.3 | 24.41 | 74.4 | 368.5 |
82 | 2,016 | 177 | 6/25 | 2,015 | 22.28 | 22.54 | 25.51 | 22.56 | 22.2 | 74.2 | 367.9 |
83 | 2,016 | 177 | 6/25 | 2,030 | 24.35 | 24.4 | 26.97 | 24.34 | 24.57 | 72.9 | 370.7 |
84 | 2,016 | 177 | 6/25 | 2,045 | 22.56 | 22.75 | 25.56 | 22.7 | 22.23 | 75.1 | 369.7 |
85 | 2,016 | 177 | 6/25 | 2,100 | 23.49 | 23.63 | 26.48 | 23.66 | 23.79 | 71.1 | 371.3 |
86 | 2,016 | 177 | 6/25 | 2,115 | 23.55 | 23.62 | 26.19 | 23.52 | 23.17 | 75.6 | 369.1 |
87 | 2,016 | 177 | 6/25 | 2,130 | 22.79 | 23.01 | 25.98 | 23.04 | 22.87 | 71.1 | 367.2 |
88 | 2,016 | 177 | 6/25 | 2,145 | 24.06 | 24.09 | 26.56 | 23.97 | 23.9 | 74.2 | 365.6 |
89 | 2,016 | 177 | 6/25 | 2,200 | 22.63 | 22.86 | 25.84 | 22.91 | 22.61 | 72 | 363.3 |
90 | 2,016 | 177 | 6/25 | 2,215 | 24.51 | 24.52 | 26.98 | 24.42 | 24.52 | 72 | 363.2 |
91 | 2,016 | 177 | 6/25 | 2,230 | 22.13 | 22.38 | 25.35 | 22.4 | 21.96 | 73 | 361.5 |
92 | 2,016 | 177 | 6/25 | 2,245 | 24.15 | 24.23 | 26.92 | 24.24 | 24.49 | 70.2 | 363.9 |
93 | 2,016 | 177 | 6/25 | 2,300 | 22.78 | 22.93 | 25.69 | 22.87 | 22.37 | 73.8 | 363.1 |
94 | 2,016 | 177 | 6/25 | 2,315 | 23.2 | 23.37 | 26.31 | 23.43 | 23.45 | 69.19 | 365.5 |
95 | 2,016 | 177 | 6/25 | 2,330 | 23.56 | 23.62 | 26.15 | 23.51 | 23.2 | 74.1 | 366 |
96 | 2,016 | 177 | 6/25 | 2,345 | 22.84 | 23.05 | 26.02 | 23.12 | 22.95 | 69.58 | 367.8 |
97 | 2,016 | 178 | 6/26 | 0 | 23.95 | 23.97 | 26.45 | 23.86 | 23.72 | 73.2 | 369.9 |
98 | 2,016 | 178 | 6/26 | 15 | 22.54 | 22.79 | 25.79 | 22.86 | 22.58 | 70.3 | 371.5 |
99 | 2,016 | 178 | 6/26 | 30 | 24.26 | 24.27 | 26.74 | 24.16 | 24.18 | 71.7 | 373.5 |
100 | 2,016 | 178 | 6/26 | 45 | 22.44 | 22.68 | 25.65 | 22.75 | 22.38 | 71.4 | 374 |
No dataset card yet