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Datasets:
THUgewu
/
PEMS-SF

Tasks:
Time Series Forecasting
Modalities:
Time-series
Size:
10K<n<100K
ArXiv:
Tags:
tsfile
timeseries
time-series
classification
License:
Dataset card Files
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Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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PEMS-SF (TsFile)

Apache TsFile version of the PEMS-SF UEA classification subset of thuml/Time-Series-Library.

Overview

San Francisco freeway lane occupancy; classify the day of week.

  • Train samples: 267 • Test samples: 173.
  • Dimensions (channels): 963 • Series length: 144.
  • Classes: 7.

Each sample is an independent multivariate series. TRAIN and TEST are stored as two separate TsFiles (PEMS-SF_train.tsfile / PEMS-SF_test.tsfile).

Schema (TsFile structure)

  • sample_index (TAG) — one device per sample. Query one sample with WHERE sample_index=0.
  • Time (INT64) — within-sample position (0..143); a frame index, not a wall-clock timestamp (the sktime .ts source has none).
  • dim_0 … dim_962 (FIELD, FLOAT) — the 963 channels at each position.
  • class_label (FIELD, STRING) — the sample's class, repeated on every row.

Converted from the sktime .ts format. Nothing is dropped: every dimension, time point, and label is preserved.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Source & license

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Total file size:
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Paper for THUgewu/PEMS-SF