The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
answer: string
reward_metric: string
task_type: string
prompt: string
task_id: string
data: struct<task_type: string, reward_metric: string>
child 0, task_type: string
child 1, reward_metric: string
to
{'task_id': Value('string'), 'prompt': Value('string'), 'data': {'task_type': Value('string'), 'reward_metric': Value('string')}}
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 478, 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
answer: string
reward_metric: string
task_type: string
prompt: string
task_id: string
data: struct<task_type: string, reward_metric: string>
child 0, task_type: string
child 1, reward_metric: string
to
{'task_id': Value('string'), 'prompt': Value('string'), 'data': {'task_type': Value('string'), 'reward_metric': 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.
crmarena — real agent-environment traces
Professional CRM analytics over a realistic Salesforce org snapshot: case routing, handle-time analytics, and entity disambiguation via SQL.
Every trace is a REAL run: an LLM agent stepping against the actual benchmark environment, with
each transition (tool call → true environment observation) recorded as OpenTelemetry GenAI spans
(traces.otel.jsonl, one span per line). Captured by
world-model-harness's
environment-capture package, which also holds the adapter, capture scripts, and per-corpus
provenance: see
packages/environment-capture/crmarena/.
License and attribution
Derived from Salesforce CRMArena (CC BY-NC 4.0); this corpus is redistributed under the same terms
(cc-by-nc-4.0). The trace text embeds task data and environment output from the upstream
benchmark — keep this attribution if you redistribute.
Contents
traces.otel.jsonl— the trace corpus (OTel GenAI spans, one JSON object per line)data/— task index (train/test splits: prompts + task metadata)gold/— per-task gold sidecars (graders read these; never staged into agent workspaces)
Using it
from huggingface_hub import hf_hub_download
path = hf_hub_download(
"experiential-labs/wmh-crmarena-traces", "traces.otel.jsonl", repo_type="dataset"
)
or, from a world-model-harness checkout:
uv run wmh download crmarena
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