IMPRINT
Collection
Models and data for IMPRINT • 2 items • Updated
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
episode_index: int64
global_episode_index: int64
length: int64
prompt: string
sample_end: int64
sample_start: int64
source_index: int64
task: string
qwen_tokenizer: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
hf_repo: string
schema_version: int64
stored_language_embedding_files: int64
stage2_metadata: list<item: string>
child 0, item: string
dino_model: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
path_prefix: string
to
{'dino_model': {'repo': Value('string'), 'revision': Value('string')}, 'hf_repo': Value('string'), 'path_prefix': Value('string'), 'qwen_tokenizer': {'repo': Value('string'), 'revision': Value('string')}, 'schema_version': Value('int64'), 'stage2_metadata': List(Value('string')), 'stored_language_embedding_files': Value('int64')}
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 483, 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
episode_index: int64
global_episode_index: int64
length: int64
prompt: string
sample_end: int64
sample_start: int64
source_index: int64
task: string
qwen_tokenizer: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
hf_repo: string
schema_version: int64
stored_language_embedding_files: int64
stage2_metadata: list<item: string>
child 0, item: string
dino_model: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
path_prefix: string
to
{'dino_model': {'repo': Value('string'), 'revision': Value('string')}, 'hf_repo': Value('string'), 'path_prefix': Value('string'), 'qwen_tokenizer': {'repo': Value('string'), 'revision': Value('string')}, 'schema_version': Value('int64'), 'stage2_metadata': List(Value('string')), 'stored_language_embedding_files': 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.
This repository contains the public training stores and simulator environment assets for IMPRINT.
| Path | Contents |
|---|---|
simulation/rmbench/450/ |
RMBench 450-episode Stage-1 and Stage-2 stores |
simulation/rmbench/molmoact2_eval_assets/ |
MolmoAct2 metadata and 450 stored language embeddings |
simulation/robocasa/600/ |
Customized RoboCasa 600-episode shared store |
simulation/robocasa/environment/ |
Patched RoboCasa evaluation environment |
The stores contain precomputed visual features and causal action/state streams
used by the released training configurations. See release_manifest.json for
immutable source revisions, file counts, and byte counts.
Code, configuration, and evaluation instructions are published in the
Amazon-FAR/imprint GitHub repository.
Dataset and simulator assets remain subject to their source terms. Public release does not relicense third-party simulator assets or upstream features.