Dataset Viewer
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
coffee_press_button/mean_success_rate_mean: double
coffee_press_button/video_10001_0: string
coffee_press_button/video_10002_0: string
coffee_press_button/video_10003_0: string
coffee_press_button/video_10004_0: string
mean_success_rate_mean: double
mean_tokens_used_mean: double
num_exp: int64
coffee_press_button/video_10000_0: string
to
{'checkpoint': Value('string'), 'coffee_press_button/mean_success_rate_mean': Value('float64'), 'coffee_press_button/video_10000_0': Value('string'), 'coffee_press_button/video_10001_0': Value('string'), 'coffee_press_button/video_10002_0': Value('string'), 'coffee_press_button/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
coffee_press_button/mean_success_rate_mean: double
coffee_press_button/video_10001_0: string
coffee_press_button/video_10002_0: string
coffee_press_button/video_10003_0: string
coffee_press_button/video_10004_0: string
mean_success_rate_mean: double
mean_tokens_used_mean: double
num_exp: int64
coffee_press_button/video_10000_0: string
to
{'checkpoint': Value('string'), 'coffee_press_button/mean_success_rate_mean': Value('float64'), 'coffee_press_button/video_10000_0': Value('string'), 'coffee_press_button/video_10001_0': Value('string'), 'coffee_press_button/video_10002_0': Value('string'), 'coffee_press_button/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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OAT RoboCasa — coffee dataset + Wave1 logs
Companion to model repo hackhackhack66666/Rc-cofee.
Contents
| Path | Description |
|---|---|
coffee_press_button_N200.zarr/ |
Official 50H+150M demos → zarr (Da=12) |
coffee_press_button_N200.zarr/ROBOCASA_SOURCE.txt |
source provenance |
wave1_coffee_press_button/summary_literal5.json |
aggregated baseline + BoN8 |
wave1_coffee_press_button/baseline_seed{10000..10004}/eval_log.json |
Wave1 baseline |
wave1_coffee_press_button/bon_n8_seed{10000..10004}/eval_log.json |
Wave1 BoN N=8 vote |
Videos omitted (eval_log only).
Place under oat/
cd oat
rsync -a coffee_press_button_N200.zarr data/robocasa/
rsync -a wave1_coffee_press_button/ \
output/eval/matched_s10000/robocasa/coffee_press_button/
Full mentee runbook: oat/AGENT_GUIDE_ROBOCASA_COFFEE_BON16_AWR.md on branch robocasa.
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