The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 85, in _split_generators
pa.Table.from_pylist(cast_to_python_objects([example], only_1d_for_numpy=True))
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 2049, in pyarrow.lib._Tabular.from_pylist
File "pyarrow/table.pxi", line 6454, in pyarrow.lib._from_pylist
return cls.from_arrays(arrays, names, metadata=metadata)
File "pyarrow/table.pxi", line 4896, in pyarrow.lib.Table.from_arrays
converted_arrays = _sanitize_arrays(arrays, names, schema, metadata,
File "pyarrow/table.pxi", line 1611, in pyarrow.lib._sanitize_arrays
converted_arrays = _schema_from_arrays(arrays, names, metadata,
File "pyarrow/table.pxi", line 1592, in pyarrow.lib._schema_from_arrays
val = array(val)
File "pyarrow/array.pxi", line 375, in pyarrow.lib.array
File "pyarrow/array.pxi", line 46, in pyarrow.lib._sequence_to_array
chunked = GetResultValue(
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.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 4877844480
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MCTD optional OPD annotation snapshots
Consistent SQLite backups of the existing ALFWorld, ScienceWorld, PlanCraft and EB-Habitat
teacher-output stores. They retain outputs regardless of success, with
separate trajectory_outcomes labels where available. Missing outcome labels
mean unknown, not success. Publication does not re-label these entries.
| Environment | Output records | Outcome records |
|---|---|---|
| ALFWorld | 275,140 | 243,700 |
| ScienceWorld | 15,246 | 15,246 |
| PlanCraft (2026-09-10 snapshot) | 16,197 | 11,015 |
| EB-Habitat | 39,938 | 0 |
The latest PlanCraft pack also contains 1,750 teacher-results cache rows.
The main output archive includes 403 additional unique outputs from the earlier
Qwen3.8 archive, preserving its 432 additional outcome associations.
It installs immutable databases under data/opd_cache/plancraft/snapshots/20260910/;
the OPD workflow seeds separate writable runtime stores on first use. Existing
live caches on the source server are reused without being overwritten by a
download. The older PlanCraft pack remains available in repository history and
as a versioned artifact; the current manifest selects the newer snapshot.
Outputs and outcomes are not necessarily one-to-one. The same context may
have multiple results and episode outcomes. SQLite quick_check, SHA-256 and
archive inventories are checked during export. Use the exact manifest counts
if a newer revision differs from this card.
python scripts/download_resources.py --environment all --with-cache
Reuse contract
These caches preserve original namespace/context/payload keys, provenance, quality flags and outcomes. Historical path or model-contract differences can prevent cache hits on another machine. Only compatible entries may be reused; this snapshot does not promise that every historical output will hit, and the download does not rekey incompatible E+C supervision.
Duplicate static-success indexes are deliberately omitted: the existing training code rebuilds them from the teacher dataset in oosnow/mctd-data. These caches are optional acceleration inputs, not success-only SFT data. Keep the algorithm's outcome-aware reuse and reward-weighting rules.
Model management labels are not proof of the actual generator. Preserve the original backend provenance; multiple teacher and scorer runs are represented. The files contain no model weights, API credentials or training optimizer state. Environment-derived/generated material remains subject to applicable upstream/provider terms; this card does not establish a new blanket license.
The Habitat snapshot (eb-habitat-20260909.tar.gz) has no separate trajectory
outcome records. These entries are unknown-outcome outputs, not successful
or failed trajectory labels. They must not bypass outcome-aware reuse rules.
Successful static trajectories are distributed separately in mctd-data.
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