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hackhackhack66666
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rc-last-two

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
checkpoint: string
mean_success_rate_mean: double
mean_tokens_used_mean: double
num_exp: int64
turn_off_microwave/mean_success_rate_mean: double
turn_off_microwave/video_10001_0: string
turn_off_microwave/video_10002_0: string
turn_off_microwave/video_10003_0: string
turn_off_microwave/video_10004_0: string
turn_off_microwave/video_10000_0: string
to
{'checkpoint': Value('string'), 'mean_success_rate_mean': Value('float64'), 'mean_tokens_used_mean': Value('float64'), 'num_exp': Value('int64'), 'turn_off_microwave/mean_success_rate_mean': Value('float64'), 'turn_off_microwave/video_10000_0': Value('string'), 'turn_off_microwave/video_10001_0': Value('string'), 'turn_off_microwave/video_10002_0': Value('string'), 'turn_off_microwave/video_10003_0': Value('string')}
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
              mean_success_rate_mean: double
              mean_tokens_used_mean: double
              num_exp: int64
              turn_off_microwave/mean_success_rate_mean: double
              turn_off_microwave/video_10001_0: string
              turn_off_microwave/video_10002_0: string
              turn_off_microwave/video_10003_0: string
              turn_off_microwave/video_10004_0: string
              turn_off_microwave/video_10000_0: string
              to
              {'checkpoint': Value('string'), 'mean_success_rate_mean': Value('float64'), 'mean_tokens_used_mean': Value('float64'), 'num_exp': Value('int64'), 'turn_off_microwave/mean_success_rate_mean': Value('float64'), 'turn_off_microwave/video_10000_0': Value('string'), 'turn_off_microwave/video_10001_0': Value('string'), 'turn_off_microwave/video_10002_0': Value('string'), 'turn_off_microwave/video_10003_0': Value('string')}
              because column names don't match

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RoboCasa last-two — datasets + Wave1 logs

Companion models: hackhackhack66666/rc-model-two-last

Guides (branch robocasa):

Inventory (mentee readiness)

Asset	Status	Needed for AWR16 Wave2?
`turn_off_sink_faucet_N200.zarr.tar`	✅ on repo	yes (untar → `data/robocasa/`)
`turn_off_microwave_N200.zarr.tar`	✅ on repo	yes
Wave1 sink baseline seeds `10000..10004`	✅	yes (Wave2 gate)
Wave1 sink BoN8 seeds `10000..10004` + `summary_literal5.json`	✅	no (Table P only)
Wave1 microwave baseline seeds `10000..10004`	✅	yes (Wave2 gate)
Wave1 microwave BoN8	⏳ 1/5 (`seed10000` only) — cluster still running	no for AWR16
Microwave `summary_literal5.json`	⏳ provisional (BoN incomplete)	no

Wave1 Table P (literal-5)

Protocol: seeds 10000..10004, -n 1 --n_test 50, OAT8; BoN --bon_free 8 --bon_signal vote.
Aggregation: mean±SEM over 5 seeds; Δ = mean(BoN)−mean(base), SEM_Δ = sqrt(SEM_b²+SEM_m²).

task	baseline mean±SEM	BoN N=8	Δ_BoN±SEM_Δ	status
`turn_off_sink_faucet`	52.4±2.5%	56.0±3.4%	+3.6±4.2 pp	DONE
`turn_off_microwave`	43.6±3.1%	(pending 1/5)	—	base DONE · BoN RUNNING

Layout after download

turn_off_*_N200.zarr.tar          # large — already on this dataset
wave1_turn_off_sink_faucet/
  baseline_seed{10000..10004}/eval_log.json
  bon_n8_seed{10000..10004}/eval_log.json
  summary_literal5.json
wave1_turn_off_microwave/
  baseline_seed{10000..10004}/eval_log.json   # complete — mentee OK to start Wave2
  bon_n8_seed10000/eval_log.json              # partial
  summary_literal5.json                       # provisional until BoN 5/5

Place under `oat/`

tar -xf turn_off_sink_faucet_N200.zarr.tar -C data/robocasa/
tar -xf turn_off_microwave_N200.zarr.tar -C data/robocasa/
rsync -a wave1_turn_off_sink_faucet/ \
  output/eval/matched_s10000/robocasa/turn_off_sink_faucet/
rsync -a wave1_turn_off_microwave/ \
  output/eval/matched_s10000/robocasa/turn_off_microwave/

Wave2 gate check (both tasks):

for t in turn_off_sink_faucet turn_off_microwave; do
  for s in 10000 10001 10002 10003 10004; do
    test -f output/eval/matched_s10000/robocasa/$t/baseline_seed$s/eval_log.json && echo OK $t $s
  done
done

When microwave BoN finishes on cluster, refresh bon_n8_seed* + final summary_literal5.json here (or see hackhackhack66666/last).

Downloads last month: 11

Total file size:

2.51 GB

RoboCasa last-two — datasets + Wave1 logs

Inventory (mentee readiness)

Wave1 Table P (literal-5)

Layout after download

Place under oat/

Place under `oat/`