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.

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.

IAAI Insurance Auto Auction Dataset in TsFile

Converted from rebrowser/iaai-dataset to Apache TsFile format.

The source dataset is a daily preview sample of IAAI insurance auto auction lots published by Rebrowser. It contains vehicle specifications, damage classifications, loss types, title status, mileage, drivetrain, bidding-related fields, storage location details, branch locations, and auction scheduling information. Modalities: Time-series, tabular.

Source Dataset

  • Original dataset: rebrowser/iaai-dataset
  • Source entity: Auction Listings (auction-listings)
  • Source files used: auction-listings/data/*.parquet
  • Source license: cc-by-nc-4.0
  • Source author: Rebrowser
  • Source notes: premium fields are present in the source files, but preview values are replaced with [PREMIUM] by the publisher.

Converted Data

  • TsFile file: iaai_dataset.tsfile
  • Table name: iaai_auction_listings
  • Rows: 9,429
  • Devices: 9,429, one per _primaryKey
  • Source Parquet files: 30 daily files
  • Time precision: milliseconds

Schema

  • Time: derived from source updatedAt, converted to epoch milliseconds.
  • TAG: _primaryKey, the unique source record identifier. This avoids collisions because many listings share the same updatedAt timestamp globally, while each _primaryKey has one row.
  • FIELD columns: all other source fields, including listing IDs, vehicle attributes, damage/title fields, auction fields, location fields, seller/provider fields, URLs, and the original timestamp fields converted to epoch-millisecond integer fields.

Datetime source columns converted to integer millisecond fields:

  • _firstSeenAt
  • _lastSeenAt
  • auctionDateTime
  • updatedAt

Conversion Notes

  • No source columns were dropped.
  • A synthetic Time column was added for TsFile using updatedAt.
  • _primaryKey was declared as a TsFile TAG and also remains the source identifier.
  • All 9,429 source rows are preserved. The staged Parquet row count and TsFile metadata row count both equal 9,429.
  • The source repository also contains CSV copies of the data; this conversion used only the Parquet files to avoid duplicate inputs.

Read Example

from tsfile import TsFileReader

path = "iaai_dataset.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())

Citation

@misc{rebrowser_iaai,
  author       = {Rebrowser},
  title        = {IAAI Insurance Auto Auction Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/iaai}},
  note         = {Converted to Apache TsFile format}
}
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