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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:    CastError
Message:      Couldn't cast
bucket_name: string
prompt_version: string
bucket_id: string
asset_id: string
video_url: string
metadata_url: string
to
{'dataset_name': Value('string'), 'prompt_version': Value('string'), 'parameter_name': Value('string'), 'asset_id': Value('string'), 'parameter_id': Value('string'), 'package_id': Value('string'), 'video_url': Value('string'), 'metadata_url': Value('string')}
because column names don't match
Traceback:    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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              bucket_name: string
              prompt_version: string
              bucket_id: string
              asset_id: string
              video_url: string
              metadata_url: string
              to
              {'dataset_name': Value('string'), 'prompt_version': Value('string'), 'parameter_name': Value('string'), 'asset_id': Value('string'), 'parameter_id': Value('string'), 'package_id': Value('string'), 'video_url': Value('string'), 'metadata_url': Value('string')}
              because column names don't match

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Dataset Card for Dataset Name

This dataset card aims to be a base template for Flikforge's datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

  • Curated by: Flikforge
  • Shared by: Sandy Phulluke
  • Language(s) (NLP): English

Dataset Sources [optional]

Dataset

  • Cinematic Physical Veracity Residential Kitchen Cleaning.parquet
  • Robotic Embodiment Washing Dishes.parquet
  • Upload Robotic Embodiment Washing Dishes.parquet
  • Semantic Scene & Shots understanding.parquet
  • SensorData-Ultra wide-fisheye-GoPro.parquet

Data Collection and Processing

  • Covers Rights-cleared, shot-level, GPU-ready training datasets

Glossary [optional]

  • Domain-validated ground truth
  • Anomaly flagging on every delivery
  • Schema completeness checks
  • Coverage analysis vs. your gaps
  • Machine labeling at validated quality

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[More Information Needed]https://flikforge.com/contact-us/

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