Water supply network monitoring data
Collection
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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 1 new columns ({'f0'}) and 1 missing columns ({'f1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries/PlantA_1_InstFlow.csv (at revision 3c910e0bbf33dfad46257993a5e9e991b7c1c3fd), ['hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_1_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_1_InstFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_2_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_2_InstFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantB_1_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantB_1_InstFlow.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
f0: double
uploadDate: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 506
to
{'f1': Value('float64'), 'uploadDate': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 ({'f0'}) and 1 missing columns ({'f1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries/PlantA_1_InstFlow.csv (at revision 3c910e0bbf33dfad46257993a5e9e991b7c1c3fd), ['hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_1_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_1_InstFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_2_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantA_2_InstFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantB_1_CumFlow.csv', 'hf://datasets/XI41822CN/SingleNetwork_TwoPlants_EffluentVolume_TimeSeries@3c910e0bbf33dfad46257993a5e9e991b7c1c3fd/PlantB_1_InstFlow.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.
f1 float64 | uploadDate string |
|---|---|
168,105 | 2022-01-01 00:00:00 |
168,201 | 2022-01-01 00:01:00 |
168,291 | 2022-01-01 00:02:00 |
168,378 | 2022-01-01 00:03:00 |
168,463 | 2022-01-01 00:04:00 |
168,547 | 2022-01-01 00:05:00 |
168,632 | 2022-01-01 00:06:00 |
168,716 | 2022-01-01 00:07:00 |
168,803 | 2022-01-01 00:08:00 |
168,891 | 2022-01-01 00:09:00 |
168,979 | 2022-01-01 00:10:00 |
169,067 | 2022-01-01 00:11:00 |
169,157 | 2022-01-01 00:12:00 |
169,247 | 2022-01-01 00:13:00 |
169,336 | 2022-01-01 00:14:00 |
169,425 | 2022-01-01 00:15:00 |
169,513 | 2022-01-01 00:16:00 |
169,602 | 2022-01-01 00:17:00 |
169,692 | 2022-01-01 00:18:00 |
169,782 | 2022-01-01 00:19:00 |
169,870 | 2022-01-01 00:20:00 |
169,959 | 2022-01-01 00:21:00 |
170,048 | 2022-01-01 00:22:00 |
170,136 | 2022-01-01 00:23:00 |
170,223 | 2022-01-01 00:24:00 |
170,311 | 2022-01-01 00:25:00 |
170,399 | 2022-01-01 00:26:00 |
170,485 | 2022-01-01 00:27:00 |
170,572 | 2022-01-01 00:28:00 |
170,659 | 2022-01-01 00:29:00 |
170,745 | 2022-01-01 00:30:00 |
170,831 | 2022-01-01 00:31:00 |
170,917 | 2022-01-01 00:32:00 |
171,001 | 2022-01-01 00:33:00 |
171,084 | 2022-01-01 00:34:00 |
171,164 | 2022-01-01 00:35:00 |
171,243 | 2022-01-01 00:36:00 |
171,322 | 2022-01-01 00:37:00 |
171,399 | 2022-01-01 00:38:00 |
171,473 | 2022-01-01 00:39:00 |
171,548 | 2022-01-01 00:40:00 |
171,624 | 2022-01-01 00:41:00 |
171,697 | 2022-01-01 00:42:00 |
171,770 | 2022-01-01 00:43:00 |
171,843 | 2022-01-01 00:44:00 |
171,914 | 2022-01-01 00:45:00 |
171,985 | 2022-01-01 00:46:00 |
172,057 | 2022-01-01 00:47:00 |
172,129 | 2022-01-01 00:48:00 |
172,199 | 2022-01-01 00:49:00 |
172,270 | 2022-01-01 00:50:00 |
172,342 | 2022-01-01 00:51:00 |
172,411 | 2022-01-01 00:52:00 |
172,480 | 2022-01-01 00:53:00 |
172,549 | 2022-01-01 00:54:00 |
172,617 | 2022-01-01 00:55:00 |
172,685 | 2022-01-01 00:56:00 |
172,752 | 2022-01-01 00:57:00 |
172,819 | 2022-01-01 00:58:00 |
172,886 | 2022-01-01 00:59:00 |
172,954 | 2022-01-01 01:00:00 |
173,023 | 2022-01-01 01:01:00 |
173,091 | 2022-01-01 01:02:00 |
173,158 | 2022-01-01 01:03:00 |
173,225 | 2022-01-01 01:04:00 |
173,295 | 2022-01-01 01:05:00 |
173,364 | 2022-01-01 01:06:00 |
173,431 | 2022-01-01 01:07:00 |
173,499 | 2022-01-01 01:08:00 |
173,566 | 2022-01-01 01:09:00 |
173,633 | 2022-01-01 01:10:00 |
173,700 | 2022-01-01 01:11:00 |
173,765 | 2022-01-01 01:12:00 |
173,832 | 2022-01-01 01:13:00 |
173,897 | 2022-01-01 01:14:00 |
173,962 | 2022-01-01 01:15:00 |
174,026 | 2022-01-01 01:16:00 |
174,092 | 2022-01-01 01:17:00 |
174,157 | 2022-01-01 01:18:00 |
174,222 | 2022-01-01 01:19:00 |
174,288 | 2022-01-01 01:20:00 |
174,352 | 2022-01-01 01:21:00 |
174,416 | 2022-01-01 01:22:00 |
174,479 | 2022-01-01 01:23:00 |
174,541 | 2022-01-01 01:24:00 |
174,604 | 2022-01-01 01:25:00 |
174,666 | 2022-01-01 01:26:00 |
174,727 | 2022-01-01 01:27:00 |
174,789 | 2022-01-01 01:28:00 |
174,849 | 2022-01-01 01:29:00 |
174,910 | 2022-01-01 01:30:00 |
174,971 | 2022-01-01 01:31:00 |
175,032 | 2022-01-01 01:32:00 |
175,093 | 2022-01-01 01:33:00 |
175,153 | 2022-01-01 01:34:00 |
175,214 | 2022-01-01 01:35:00 |
175,274 | 2022-01-01 01:36:00 |
175,333 | 2022-01-01 01:37:00 |
175,393 | 2022-01-01 01:38:00 |
175,453 | 2022-01-01 01:39:00 |
End of preview.
Dataset Card: Dual-Plant Water Supply Flow Time Series (Single Distribution Network)
Dataset Description
Overview
This dataset provides high-frequency time-series measurements of water supply from two water treatment plants operating within a single shared water distribution network. Both plants are hydraulically coupled and exclusively subject to the hydraulic conditions and demand fluctuations of this common network, making the data well-suited for studying cross-plant flow correlations and network-level hydraulic behavior.
The data is sampled at 1-minute intervals with standardized timestamps, and contains two core flow metrics: instantaneous flow rate and cumulative flow.
Data Specifications
- Data type: Multivariate time series
- Temporal granularity: 1 minute
- Timestamp format:
yyyy-mm-dd HH:mm:ss(local standard time) - Coverage: Two co-network water plants
Dataset Structure
Data Fields
Each entry contains the following fields:
| Field | Description |
|---|---|
timestamp |
Sampling time point, formatted as yyyy-mm-dd HH:mm:ss |
f0 |
Instantaneous Flow Rate — real-time flow value at the sampling moment, reflecting the current outlet flow intensity of the water plant |
f1 |
Cumulative Flow — totalized accumulated flow volume up to the corresponding timestamp, a monotonically increasing cumulative metric |
Data Files
The dataset is split by plant and metric type, with separate CSV files for instantaneous flow and cumulative flow for each plant.
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