Datasets:

smilegeng
/

gifteval

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              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(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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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GIFT-Eval - TsFile Conversion

This repository contains a TsFile conversion of Salesforce/GiftEval.

GIFT-Eval is a benchmark for zero-shot time-series forecasting. The original dataset contains 23 datasets, about 144,000 time series and 177 million data points across seven domains and ten frequencies.

Conversion Layout

Each source Arrow file is converted separately and the original dataset/frequency hierarchy is preserved:

data/
  <dataset>.tsfile
  <dataset>/<freq>.tsfile

TsFile Mapping

item_id is a TAG.
start and freq are used to synthesize millisecond Time values.
Univariate target is stored as field target.
Multivariate target is stored as fields target_0, target_1, ...
past_feat_dynamic_real, when present, is stored as past_feat_dynamic_real_0, past_feat_dynamic_real_1, ...

start and freq are not repeated as fields because they are encoded by the generated time axis and output hierarchy.

Citation

@article{aksu2024giftevalbenchmarkgeneraltime,
  title={GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation},
  author={Taha Aksu and Gerald Woo and Juncheng Liu and Xu Liu and Chenghao Liu and Silvio Savarese and Caiming Xiong and Doyen Sahoo},
  journal={arxiv preprint arxiv:2410.10393},
  year={2024}
}

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Total file size:

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Paper for smilegeng/gifteval

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Paper • 2410.10393 • Published Oct 14, 2024