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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
unique_id: string
scene_analysis: string
counterfactual_action_instruction: list<item: struct<divergence_segment_index: int64, counterfactual_action: string, counterfactual_ins (... 37 chars omitted)
child 0, item: struct<divergence_segment_index: int64, counterfactual_action: string, counterfactual_instruction: s (... 25 chars omitted)
child 0, divergence_segment_index: int64
child 1, counterfactual_action: string
child 2, counterfactual_instruction: string
child 3, reasoning: string
batch_failed: int64
model: string
failure_reason: string
already_done_before_batch: int64
batch_submitted: int64
step: string
failure_rate_pct: double
total_written: int64
total_frame_pairs: int64
batch_written: int64
to
{'step': Value('string'), 'model': Value('string'), 'total_frame_pairs': Value('int64'), 'already_done_before_batch': Value('int64'), 'batch_submitted': Value('int64'), 'batch_written': Value('int64'), 'batch_failed': Value('int64'), 'failure_rate_pct': Value('float64'), 'total_written': Value('int64'), 'failure_reason': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
unique_id: string
scene_analysis: string
counterfactual_action_instruction: list<item: struct<divergence_segment_index: int64, counterfactual_action: string, counterfactual_ins (... 37 chars omitted)
child 0, item: struct<divergence_segment_index: int64, counterfactual_action: string, counterfactual_instruction: s (... 25 chars omitted)
child 0, divergence_segment_index: int64
child 1, counterfactual_action: string
child 2, counterfactual_instruction: string
child 3, reasoning: string
batch_failed: int64
model: string
failure_reason: string
already_done_before_batch: int64
batch_submitted: int64
step: string
failure_rate_pct: double
total_written: int64
total_frame_pairs: int64
batch_written: int64
to
{'step': Value('string'), 'model': Value('string'), 'total_frame_pairs': Value('int64'), 'already_done_before_batch': Value('int64'), 'batch_submitted': Value('int64'), 'batch_written': Value('int64'), 'batch_failed': Value('int64'), 'failure_rate_pct': Value('float64'), 'total_written': Value('int64'), 'failure_reason': Value('string')}
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.
CAST Pipeline Outputs — Thesis Safety-Critical Navigation
Pipeline outputs from the safety-critical CAST navigation pipeline.
Files
| File | Description |
|---|---|
safety_margins/pipeline_v1/nwm_frames_by_key.pkl |
1000 NWM-rolled CF trajectories × 8 predicted frames each (PNG bytes). 100 MB. |
safety_margins/pipeline_v1/safety_pipeline_results.jsonl |
Per-CF safety scores (spatial + GPT-NWM) |
unsafe_action_generation/unsafe_action_generation_outputs.pkl |
Atomic policy waypoints for 20k+ CF actions |
counterfactual/counterfactual_unsafe_responses.jsonl |
GPT-4o unsafe CF generation responses (240 MB JSONL) |
Loading
import pickle
with open("nwm_frames_by_key.pkl", "rb") as f:
nwm_cache = pickle.load(f)
# nwm_cache: dict[str, list[bytes]]
# key format: "{uid}|{start_frame}|{cf_action}"
# value: list of 8 JPEG bytes (predicted future frames)
See: VasuDevi/thesis, VasuDevi/CAST
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