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']
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']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.
ts_arena_illness
Converted from the Hugging Face dataset ts-arena/illness to Apache TsFile format.
Source Dataset
- Original dataset:
ts-arena/illness - Authors: ts-arena
ILI surveillance time series (7 US CDC channels) converted with a dedicated
converter. Source ships preprocessed normalized splits train/val/test with a
0-based timestamp_idx (no wall-clock dates); each split becomes its own
TsFile and Time is the sample index. Channel names are schema-sanitized.
Conversion Notes
- Conversion mode:
script - Time precision:
ms - TsFile data files:
['ts_arena_illness_test.tsfile', 'ts_arena_illness_train.tsfile', 'ts_arena_illness_val.tsfile'] - Converter:
scripts/converters/ts_arena_illness.py
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("ts_arena_illness_test.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())
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