Datasets:

hackhackhack66666
/

close-dataset-rc

Tasks:

Robotics

Tags:

oat

robocasa

close_drawer

License:

Dataset card Files Files and versions

xet

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test

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
checkpoint: string
close_drawer/mean_success_rate_mean: double
close_drawer/video_10001_0: string
close_drawer/video_10002_0: string
close_drawer/video_10003_0: string
close_drawer/video_10004_0: string
mean_success_rate_mean: double
mean_tokens_used_mean: double
num_exp: int64
close_drawer/video_10000_0: string
to
{'checkpoint': Value('string'), 'close_drawer/mean_success_rate_mean': Value('float64'), 'close_drawer/video_10000_0': Value('string'), 'close_drawer/video_10001_0': Value('string'), 'close_drawer/video_10002_0': Value('string'), 'close_drawer/video_10003_0': Value('string'), 'mean_success_rate_mean': Value('float64'), 'mean_tokens_used_mean': Value('float64'), 'num_exp': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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
              checkpoint: string
              close_drawer/mean_success_rate_mean: double
              close_drawer/video_10001_0: string
              close_drawer/video_10002_0: string
              close_drawer/video_10003_0: string
              close_drawer/video_10004_0: string
              mean_success_rate_mean: double
              mean_tokens_used_mean: double
              num_exp: int64
              close_drawer/video_10000_0: string
              to
              {'checkpoint': Value('string'), 'close_drawer/mean_success_rate_mean': Value('float64'), 'close_drawer/video_10000_0': Value('string'), 'close_drawer/video_10001_0': Value('string'), 'close_drawer/video_10002_0': Value('string'), 'close_drawer/video_10003_0': Value('string'), 'mean_success_rate_mean': Value('float64'), 'mean_tokens_used_mean': Value('float64'), 'num_exp': Value('int64')}
              because column names don't match

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OAT RoboCasa — close_drawer dataset + Wave1 logs

Companion model repo: hackhackhack66666/close-rc-models.

Path	Description
`close_drawer_N200.zarr/`	Official 50H+150M demos → zarr (Da=12)
`wave1_close_drawer/summary_literal5.json`	aggregated baseline + BoN8
`wave1_close_drawer/baseline_seed{10000..10004}/eval_log.json`	Wave1 baseline
`wave1_close_drawer/bon_n8_seed{10000..10004}/eval_log.json`	Wave1 BoN N=8 vote

Wave1 locked: baseline 0.560, BoN8 0.596, Δ +0.036.

Videos omitted (eval_log only).

Place under `oat/`

cd oat
rsync -a close_drawer_N200.zarr data/robocasa/
rsync -a wave1_close_drawer/ output/eval/matched_s10000/robocasa/close_drawer/

Downloads last month: 16

Total file size:

1.48 GB

OAT RoboCasa — close_drawer dataset + Wave1 logs

Contents

Place under oat/

Place under `oat/`