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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
py unknown | __key__ string | __url__ string |
|---|---|---|
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... | modal/export_portable | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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... | modal/gates | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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6... | modal/image | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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11... | modal/pins | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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... | modal/publish_source | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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114... | modal/qualify | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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1... | node/stage_assets | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | tools/all_receipts | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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116,... | tools/check_runbook | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | tools/fetch_export_receipt | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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4... | tools/hf_set_visibility | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | tools/modal_run | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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1... | tools/show_receipt | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | tools/snapshot_evidence | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
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... | tests/test_stage_assets_portability | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-assets | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-cpu | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-cuda | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-dpca_gpu | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-package | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-probe | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-publish | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/log-status | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/publish-uvlock-cu128-manifest | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/publish-uvlock-cu128-receipt | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/qualification-uvlock-cu128-assets | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/qualification-uvlock-cu128-cpu | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/qualification-uvlock-cu128-cuda | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | evidence/qualification-uvlock-cu128-dpca_gpu | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | dist/dpca-b200-source-20261005 | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
null | PROJECT | hf://datasets/codemaivanngu/dpca-b200-source@122fb9a52855f7b13e739ec2893a0ed089b18c31/dpca-b200-source-20261005.tar.gz |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
dpca-b200-source
Tooling that builds, qualifies, packages and publishes the portable B200 runtime for
the DPCA reproduction of On-Policy Distillation (ivanniu/On-Policy-Distill).
This repo is the harness, not the runtime. The runtime payload (venv, source tree, node helpers) and the model weights live in a separate dataset repo, because they are ~56 GB and the tooling is 61 KB.
What is here
| File | What it is |
|---|---|
dpca-b200-source-20261005.tar.gz |
The tooling tree: modal/, node/, tools/, tests/, evidence/, PROJECT.md |
dpca-b200-source-20261005.SHA256SUMS |
sha256 of every file inside the archive, as extracted |
Verify before using
sha256sum dpca-b200-source-20261005.tar.gz
# ba89a9913635881ef583840f33e5697eb438c300b19f9e78e3e83e4e21534285
tar -xzf dpca-b200-source-20261005.tar.gz
sha256sum -c dpca-b200-source-20261005.SHA256SUMS
Provenance
| Upstream paper repo | https://github.com/ivanniu/On-Policy-Distill |
| Upstream commit | 927a8264f2e303b7f82c2d331a58fd4240c8805a |
| Overlay branch | repro/modal-dpca-smoke |
| Overlay commit | fc0a34b216e29f8b12e99794731e3ebaa747c6d8 |
| Overlay fork | https://github.com/sontungkieu/On-Policy-Distill |
The overlay is 4 commits on top of the upstream commit. That count is a build-time
assertion (OVERLAY_COMMITS_AHEAD = 4), not a claim in this README.
Scope, honestly stated
The tooling proves the runtime executes the paper's objective on the paper's Table 4 model pair, on B200, from a portable payload that another machine can verify byte-for-byte. It does not reproduce the paper's numbers: the paper uses 16 GPUs, 500 steps, response length 16384 and global batch 128. The student SFT checkpoint the paper starts from was never published, and the vLLM rollout path was never qualified.
PROJECT.md in the archive carries the full record, including the defects that only
appeared on a second machine.
License
Apache-2.0, matching the upstream repository.
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