Datasets:
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ValueError
Message: Some splits are duplicated in data_files: ['train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1215, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1190, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 646, in get_module
patterns = sanitize_patterns(next(iter(metadata_configs.values()))["data_files"])
File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 151, in sanitize_patterns
raise ValueError(f"Some splits are duplicated in data_files: {splits}")
ValueError: Some splits are duplicated in data_files: ['train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train', 'train']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.
SG_Carpark (TsFile)
Apache TsFile version of the SG_Carpark sub-dataset of Real-TSF/TIME-ProcessedCSV.
Overview
SG_Carpark is one of the processed time-series collections bundled in TIME-ProcessedCSV, a multi-domain repository of cleaned CSV series (energy, transport, weather, finance, health and more), each with a timestamp column and one or more measurement columns per file.
- Source files: 1 CSV file(s) under
https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/SG_Carpark - Converted rows: 5,131,230 (long format: one row per measurement)
- Data files:
['sg_carpark_1.tsfile', 'sg_carpark_10.tsfile', 'sg_carpark_11.tsfile', 'sg_carpark_2.tsfile', 'sg_carpark_3.tsfile', 'sg_carpark_4.tsfile', 'sg_carpark_5.tsfile', 'sg_carpark_6.tsfile', 'sg_carpark_7.tsfile', 'sg_carpark_8.tsfile', 'sg_carpark_9.tsfile']
Schema (TsFile structure)
- Time (INT64, milliseconds) — the source
timestampcolumn. - freq (TAG) — source sampling-frequency directory (e.g.
H,15T,D). - series (TAG) — source file stem (e.g.
item0,NRSROT). - channel (TAG) — source measurement column name.
- measurement (FIELD, FLOAT) — the measurement value.
Usage
Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:
from pathlib import Path
from tsfile import TsFileReader
path = Path("sg_carpark_1.tsfile")
with TsFileReader(str(path)) as reader:
schemas = reader.get_all_table_schemas()
print("tables:", list(schemas))
table_name = next(iter(schemas))
table = schemas[table_name]
columns = [column.get_column_name() for column in table.get_columns()]
print("columns:", columns)
field_names = [
column.get_column_name()
for column in table.get_columns()
if column.get_column_name() not in {"Time", "time"}
]
if field_names:
with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
batch = result.read_arrow_batch()
if batch is not None:
print(batch.to_pandas().head())
Source & license
- Original dataset: https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/SG_Carpark
- Bundle: https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV
- License: apache-2.0
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