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AutoLab-SJTU
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robofollow-data

Tasks:

Robotics

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xet

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train

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
episode_0: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
  child 0, cluttered_table_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: string
      child 1, {arm}: string
      child 2, {action}: string
episode_1: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
  child 0, cluttered_table_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: string
      child 1, {arm}: string
      child 2, {action}: string
episode_2: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
  child 0, cluttered_table_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: strin
...
e_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: string
      child 1, {arm}: string
      child 2, {action}: string
episode_48: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
  child 0, cluttered_table_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: string
      child 1, {arm}: string
      child 2, {action}: string
episode_49: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
  child 0, cluttered_table_info: list<item: null>
      child 0, item: null
  child 1, texture_info: struct<wall_texture: null, table_texture: null>
      child 0, wall_texture: null
      child 1, table_texture: null
  child 2, info: struct<{source}: string, {arm}: string, {action}: string>
      child 0, {source}: string
      child 1, {arm}: string
      child 2, {action}: string
seen: list<item: string>
  child 0, item: string
unseen: list<item: null>
  child 0, item: null
to
{'seen': List(Value('string')), 'unseen': List(Value('null'))}
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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_0: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
                child 0, cluttered_table_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: string
                    child 1, {arm}: string
                    child 2, {action}: string
              episode_1: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
                child 0, cluttered_table_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: string
                    child 1, {arm}: string
                    child 2, {action}: string
              episode_2: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
                child 0, cluttered_table_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: strin
              ...
              e_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: string
                    child 1, {arm}: string
                    child 2, {action}: string
              episode_48: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
                child 0, cluttered_table_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: string
                    child 1, {arm}: string
                    child 2, {action}: string
              episode_49: struct<cluttered_table_info: list<item: null>, texture_info: struct<wall_texture: null, table_textur (... 74 chars omitted)
                child 0, cluttered_table_info: list<item: null>
                    child 0, item: null
                child 1, texture_info: struct<wall_texture: null, table_texture: null>
                    child 0, wall_texture: null
                    child 1, table_texture: null
                child 2, info: struct<{source}: string, {arm}: string, {action}: string>
                    child 0, {source}: string
                    child 1, {arm}: string
                    child 2, {action}: string
              seen: list<item: string>
                child 0, item: string
              unseen: list<item: null>
                child 0, item: null
              to
              {'seen': List(Value('string')), 'unseen': List(Value('null'))}
              because column names don't match

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RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents

This dataset is part of the RoboFollow benchmark, designed to evaluate instruction-following capabilities of embodied agents in manipulation tasks. Built on RoboTwin, it provides shared-scene task configurations where multiple tasks coexist, requiring policies to rely on language to disambiguate objectives.

The dataset includes expert demonstrations and evaluation tasks across four scene families, covering spatial relations, object attributes, trajectory constraints, and conditional instructions. It supports the benchmark's hierarchical evaluation protocol (L0–L3) to separate intent comprehension from physical execution.

For more details, refer to:

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Paper for AutoLab-SJTU/robofollow-data

RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents

Paper • 2609.25636 • Published 2 days ago • 4