Datasets:

smilegeng
/

next-purchase-day

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 68, 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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next-purchase-day — TsFile

This dataset is a conversion of the HuggingFace dataset alexgrigoras/next-purchase-day to the Apache TsFile format. The original CSV files are also kept here, as in the source repository.

Original dataset

Source dataset: alexgrigoras/next-purchase-day
Content: a GluonTS-format purchase time-series — 34 users (item_id) per split, each with a sequence of purchase times (target, seconds-of-day). Three splits: train / validation / test.

What is in this repository

data/
├── train.tsfile          # converted (TsFile)
├── validation.tsfile
└── test.tsfile
df_purchases_train.csv     # original CSVs, copied verbatim
df_purchases_validation.csv
df_purchases_test.csv

TsFile storage mapping (table model, per split)

Role	Column	Type	Notes
TAG	`item_id`	STRING	34 users → 34 devices
Time	within-series position index	INT64	0, 1, 2, … per series
FIELD	`target`	INT32	purchase second-of-day (integer, 0..86340)
FIELD	`feat_static_cat_0`	INT64	per-series static category

Conversion notes

GluonTS nested rows expanded to a long table: each source row is one sequence (start, target[], item_id, feat_static_cat[1], feat_dynamic_real); the target array is exploded so each point becomes one row.
Three splits → three separate TsFiles (train / validation / test); the original split is preserved, not merged.
TAG = item_id (34 devices). Time = within-series position index (0, 1, 2, …). The source start field is a 1970-01-01 placeholder (not a real timestamp), so the ordinal index is used as the time axis.
feat_static_cat → feat_static_cat_0 (INT64, the single static category).
Dropped (with consent): feat_dynamic_real — entirely null across all splits (an empty column carrying no information). No rows dropped (train 2,448 / validation 2,584 / test 2,720 points, matching the source exactly).
The original CSVs (df_purchases_{train,validation,test}.csv) are kept verbatim.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/train.tsfile")
schemas = reader.get_all_table_schemas()
tname = next(iter(schemas))

cols = ["item_id", "target", "feat_static_cat_0"]
with reader.query_table(tname, cols, batch_size=65536) as rs:
    while (batch := rs.read_arrow_batch()) is not None:
        df = batch.to_pandas()
        # ... process ...
reader.close()

Citation

@misc{next_purchase_day,
  title  = {next-purchase-day},
  author = {alexgrigoras},
  url    = {https://huggingface.co/datasets/alexgrigoras/next-purchase-day},
  publisher = {Hugging Face}
}

The source HuggingFace dataset does not declare an explicit license.

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