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 92, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<schemaVersion: int64, mediaType: string, manifests: list<item: struct<mediaType: string, digest: string, size: int64>>> vs list<item: struct<Config: string, RepoTags: null, Layers: list<item: string>>>
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.
HeatMix A_PORTABLE private environment payloads
The sole code repository is https://github.com/ruiyangwang-thu/SciLabSim-WetLab . Scientific source A remains a307d25dfe776dd6874c622c085de7cfebe229af, 553 original bytes/SHA/modes, manifest acd10af0f549bae4c31dcbebeadcbc1a3fc7cf06d74106222e2e0f00b0f00352. The default distributable deployment is explicitly A_PORTABLE; it is not original-A Snapshot/image qualification.
Included deployment inputs
- The original 233 ordinary resources retain their previous exact hashes and original per-file rights (232 LabUtopia CC-BY-NC4.0 asset/derived objects plus one project-authorized public configuration). Their full attribution, source URL, modification and SHA records remain unchanged in ASSET_PROVENANCE.json.
- QEMU archive, 185 package notices and 430 exact corresponding-source objects for 132 original Debian source versions are reused unchanged from the earlier qualified delivery.
- Browser-free HEATMIX_A_PORTABLE_BASE_SNAPSHOT template:
portable/snapshots/heatmix-a-portable-base.qcow2, 3075604480 downloaded bytes, SHA2565d9e29b188159a1595b0f6eacb44215e2084ef3e2d1a7bcaec089194ea817532. The restored QCOW identity, when outer compression is used, is separately locked. This is a new distributable browser-free filesystem identity; it does not pretend to be original 12cf or the locally assembled Snapshot. - native-python38:
sha256:34bd2a61bc88ebe89ff832aef8e1533e855f38675695b68b067e178ebfdb5b40; archiveportable/images/native-A-portable.docker.tar, 4662647808 bytes, SHA25655b20e78a91b4b8488f200ddf37c34612a5d4561607eeadc53f3f1d22a9de547, separate configsha256:f9478b721f134459fb123fd83be97b9fc8429ed1bf7fbaeade191001a732a671. - official-tools-python312:
sha256:c1c6987a5b7bea7fa2ad60466ae5a56959c4be26abb50ad94135c712353a82dd; archiveportable/images/tools-A-portable.docker.tar, 308126208 bytes, SHA256577733ab2692d75d31c50edb3eb9398ac264571be4df70e691c391d46aba6381, separate configsha256:b12fa9420e460de97b00249f2f655335d0188fb85f919609597b7da7b4a449c5. - qemu:
sha256:0277a5868454fa62a294a81180112862b235fbcf116e71e4e5e1c4b32f8eed16; archiveimages/A/qemu-A.docker.tar, 224458240 bytes, SHA25612858c5575fd31d4b6c6df18b8efe33850cd9f96c47a6e64c23999ebb5fd690d, separate configsha256:353426a99ae3774b16d979da63ccd87f8747be5acc5e6ee07c3108cfd987ec75. - Snapshot/image system-package source bundles/indexes, Mozilla source and supplemental Canonical recipes, actual notices, first-boot source and distribution terms are locked sidecars. The old branded Firefox binary is NOT an HF object: each recipient downloads the unchanged official archive directly from Mozilla and locally composes its own image. Separate vendor size/SHA256/SHA512 and final local QCOW SHA are bound by the code repository's DEPLOYMENT_LOCK. No GitHub/HF credential is sent to Mozilla.
The historical original 12cf Snapshot and original d508/d586 binaries are not redistributed or requalified here. A_PORTABLE resolves those delivery conditions with separately identified artifacts, not a false old-SHA claim. Applicable third-party licenses remain per component; GPL/MPL/Ubuntu/QEMU sources are not placed under a blanket CC-BY-NC condition.
Install and access
Use the sole GitHub README, DEPLOYMENT_LOCK.json and scripts/bootstrap_remote.py. The installer pins actual code/HF revisions plus the official Mozilla vendor URL, restores canonical 553 / upstream 166 / 234 resource mappings, checks template/vendor/assembled/image identities and runs the original interfaces and public/private projection checks. It never starts a VM or model API. Actual install and one permitted minimal boot results belong to REMOTE_INSTALL_RESULT.json, not this Dataset Card. Historical science/Frame20s/Clock/Viewer issues and scores remain separate.
This Dataset stays Private. No personal owner token is shared with a team or Agent. Actual team usernames/Organization are unknown; any transfer of this same Dataset and grants must be separately authorized and verified. Model workers receive only original public views, no repository/evaluator/GT/Host-channel/credential mount. No second Host repository, GHCR or developer-machine cache is an installation dependency.
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