The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/tools/[]/outputSchema/properties/phone/type) changed from string to array in row 0
During handling of the above exception, another exception occurred:
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 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
NeMo Gym EnterpriseOps-Gym Assets
Build-time assets for the enterpriseops_gym resources server in
NVIDIA-NeMo/Gym.
This repository holds the seven per-domain tools/list schema snapshots captured from the
public EnterpriseOps-Gym (ServiceNow,
Apache-2.0) MCP gym Docker containers. They are hosted here rather than committed to the
NeMo Gym repository because they are ~30k lines of generated JSON that can be re-captured
from the upstream containers at any time.
Layout
enterpriseops_gym/tools/
├── calendar.json gym-calendar 37 tools
├── csm.json sn-csm-server 89 tools
├── drive.json gym-google-drive-mcp 55 tools
├── email.json gym-email-mcp 79 tools
├── hr.json sn-hr-internal 89 tools
├── itsm.json gym-itsm-mcp 93 tools
└── teams.json gym-teams-mcp 70 tools
Integrity
Consumers pin these bytes by content, not by tag:
file_count = 7
tree_sha256 = d9ee1a279ec85985ba3fc59f2f9502a9c470301062800cab4d07c87b123354b3
tree_sha256 is a sha256 over the flat directory: for each file sorted by name, the
filename, a NUL byte, then the file bytes. Reproduce it with:
python -m resources_servers.enterpriseops_gym.prepare --print-hash <dir>
Usage
python -m resources_servers.enterpriseops_gym.prepare
prepare.py downloads the pinned revision, validates the filename set and the hash above,
and materializes resources_servers/enterpriseops_gym/data/tools/. A refresh of the
schemas is published as a new commit here and picked up by bumping DEFAULT_REVISION,
TOOLS_FILE_COUNT, and TOOLS_TREE_SHA256 in that script.
Provenance and license
Captured unmodified from the public EnterpriseOps-Gym Docker containers with
resources_servers/enterpriseops_gym/snapshot_tools.py. EnterpriseOps-Gym is a
ServiceNow project licensed Apache-2.0; these snapshots are redistributed under the
same license. The tool descriptions are upstream content describing mock services that
imitate third-party APIs. See NOTICE.
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