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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 791, in read_json
                  json_reader = JsonReader(
                      path_or_buf,
                  ...<16 lines>...
                      engine=engine,
                  )
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 905, in __init__
                  self.data = self._preprocess_data(data)
                              ~~~~~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
                  data = data.read()
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe6 in position 14: invalid continuation byte
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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D2F Review Processed Dataset Bundle

This dataset repository hosts a reduced processed-data bundle for anonymous review. It is intended to support subset evaluation using redistributable processed inputs only.

Files

  • d2f_review_processed_datasets_public.zip: reduced processed dataset bundle
  • d2f_review_processed_datasets_public.manifest.json: file list, byte counts, and SHA256 checksums

Bundle Summary

  • Size: 2,336,951,424 bytes (2.18 GiB)
  • SHA256: 9b35e971668875f31312eaa4fa0058339a5a1c7ec16aa9a7207c5d2d0d4eb5f2
  • File count: 16
  • Uncompressed member bytes: 3,664,989,844

Included Data

  • data/cryptos_binance_spot_monthly_1s_l10.npz
  • Processed Monash dataset manifests, audits, and .tsf source files under paper_datasets/monash/

Excluded Data

The public bundle excludes restricted or non-public-review files:

  • data/es_mbp_10.npz
  • data/sleep_edf_3ch_100hz_stage_conditioned.npz
  • data/sleep_edf_3ch_100hz_stage_conditioned.json
  • Monash raw download zip files under paper_datasets/monash/*/raw/

Usage

from huggingface_hub import hf_hub_download

bundle = hf_hub_download(
    repo_id="mpstoryfans/d2f-dataset",
    filename="d2f_review_processed_datasets_public.zip",
    repo_type="dataset",
)

Then pass the downloaded path to the evaluation runner:

CUDA_VISIBLE_DEVICES='' PYTHONDONTWRITEBYTECODE=1 python -m diffusion_flow_inference.evaluation.diffusion_flow_time_reparameterization \
  --dataset_bundle_zip "$bundle" \
  --dataset_bundle_mode auto \
  --dataset_bundle_extract_root outputs/dataset_bundles/extracted \
  --backbone_manifest outputs/backbone_matrix/backbone_manifest.json

Users are responsible for complying with the terms of the upstream datasets represented in this processed review artifact.

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