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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
conversation: list<item: struct<react: string, world_model_observation: string, env_observation: string>>
  child 0, item: struct<react: string, world_model_observation: string, env_observation: string>
      child 0, react: string
      child 1, world_model_observation: string
      child 2, env_observation: string
item_id: string
world_model_success: int64
reward: double
success: int64
accuracy: double
total: int64
errors: int64
processed: int64
to
{'total': Value('int64'), 'processed': Value('int64'), 'success': Value('int64'), 'errors': Value('int64'), 'accuracy': Value('float64')}
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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              conversation: list<item: struct<react: string, world_model_observation: string, env_observation: string>>
                child 0, item: struct<react: string, world_model_observation: string, env_observation: string>
                    child 0, react: string
                    child 1, world_model_observation: string
                    child 2, env_observation: string
              item_id: string
              world_model_success: int64
              reward: double
              success: int64
              accuracy: double
              total: int64
              errors: int64
              processed: int64
              to
              {'total': Value('int64'), 'processed': Value('int64'), 'success': Value('int64'), 'errors': Value('int64'), 'accuracy': Value('float64')}
              because column names don't match

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WebShop W2W (LLaMA3.1-8B SFT) WM/W2R Trajectories - Qwen3-32B Agent

Trajectories for the WebShop SFT baseline world model X1AOX1A/WorldModel-Webshop-Llama3.1-8B (W2W: world-model-only training), evaluated with Qwen/Qwen3-32B as the agent.

Configuration

  • World model: X1AOX1A/WorldModel-Webshop-Llama3.1-8B
  • World model serving: vLLM, tensor parallel size 1, max_model_len=32768
  • Agent: Qwen/Qwen3-32B
  • Agent serving: vLLM, tensor parallel size 4, max_model_len=40960, temperature 0, thinking disabled
  • Eval concurrency: 16
  • Task: WebShop test split (200 items)

Metrics

  • WM total items: 200, processed: 190, errors: 10, accuracy: 17.37%
  • W2R total items: 200, processed: 200, errors: 4, accuracy: 13.27%

Files

  • webshop_*.json: agent and world-model interaction trajectories.
  • _metrics.json: WM metrics.
  • valid_on_real_env/webshop_*.json: W2R replay results on the real WebShop environment.
  • valid_on_real_env/_metrics.json: W2R metrics.
  • metadata.json: configuration and run notes.
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