Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 2 fields in line 7, saw 205
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2998, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1918, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, in __iter__
for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 2 fields in line 7, saw 205Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Intro
The data organization follows TFB format: https://github.com/decisionintelligence/TFB.
TFB data format
TFB stores time series in a format of three column long tables, which we will introduce below：
Format Introduction
First column: date (the exact column name is required, the same applies below.)
- The columns stores the time information in the time series, which can be in either of the following formats:
- Timestamps in string, datetime, or other types that are compatible with pd.to_datetime;
- Integers starting from 1, e.g. 1, 2, 3, 4, 5, ...
Second column: data
- This column stores the series values corresponding to the timestamps.
Third column: cols
- This column stores the column name (variable name).
Multivariate time series example:
A common time series in wide table format:
| date | channel1 | channel2 | channel3 |
|---|---|---|---|
| 1 | 0.1 | 1 | 10 |
| 2 | 0.2 | 2 | 20 |
| 3 | 0.3 | 3 | 30 |
Convert to TFB format:
| date | data | cols |
|---|---|---|
| 1 | 0.1 | channel1 |
| 2 | 0.2 | channel1 |
| 3 | 0.3 | channel1 |
| 1 | 1 | channel2 |
| 2 | 2 | channel2 |
| 3 | 3 | channel2 |
| 1 | 10 | channel3 |
| 2 | 20 | channel3 |
| 3 | 30 | channel3 |
License
This dataset is released under CC BY 4.0
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