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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 1539, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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csv
unknown
__key__
string
__url__
string
[ 103, 101, 110, 101, 44, 112, 101, 114, 116, 44, 115, 112, 108, 105, 116, 95, 110, 97, 109, 101, 44, 100, 114, 117, 103, 95, 110, 111, 100, 101, 95, 110, 97, 109, 101, 44, 100, 105, 115, 116, 97, 110, 99, 101, 44, 112, 97, ...
audits/c32/graph_context/test/A2M_shortest_paths_depth_le6
hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.tar.gz
[ 103, 101, 110, 101, 44, 112, 101, 114, 116, 44, 115, 112, 108, 105, 116, 95, 110, 97, 109, 101, 44, 100, 114, 117, 103, 95, 110, 111, 100, 101, 95, 110, 97, 109, 101, 44, 100, 105, 115, 116, 97, 110, 99, 101, 44, 112, 97, ...
audits/c32/graph_context/test/ABCC6P2_shortest_paths_depth_le6
hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.tar.gz
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/ADAM33_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/ADAMTS12_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/ADAMTS6_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/ADARB2_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/ADGRD1_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/AFP_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/AGMO_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
"Z2VuZSxwZXJ0LHNwbGl0X25hbWUsZHJ1Z19ub2RlX25hbWUsZGlzdGFuY2UscGF0aF9pZHgscmVsYXRpb25fc2VxdWVuY2UscGF(...TRUNCATED)
audits/c32/graph_context/test/AHSG_shortest_paths_depth_le6
"hf://datasets/katarinayuan/CORE-Reasoning-data@b02af2170a8e1db7257a4a7b8daa10bc8f13fed3/c32_audit.t(...TRUNCATED)
End of preview.

CORE reproduction inputs

Fixed data inputs for CORE-Reasoning and CORE-Voting on C32 and PerturbQA K562. The corresponding code and commands are maintained in release/minimal.

  • canonical_kg.tar.gz: canonical CombKG_fix nodes/edges and its retrieval projection, preserved byte for byte. No KG edges or nodes are removed.
  • c32_audit.tar.gz, k562_audit.tar.gz: benchmark-aligned query audits plus fixed KG-derived distance/path context. Query records match the cleaned benchmarks. Graph context contains no test outcome labels and can cover endpoint pairs outside the evaluated query list; it preserves graph features needed for retrieval and fallback mappings.
  • k562_fixed_inputs.tar.gz: the fixed K562 similarity and two complemented description files.
  • manifest.json and manifests/: byte counts, SHA-256 digests, schemas and benchmark identifiers for integrity verification.

The cleaned C32 main test contains 74,444 pairs, with 10,000 support rows. K562 contains 22,844 test pairs, with 134,467 support rows. The code repository provides these CSVs and their exclusion manifests. Training labels determine support transfer and distance calibration; held-out outcome labels are not graph features.

C32's four fixed similarity/description inputs are also available in the versioned GeneTAK / VCWorld archive. The code's download scripts verify its exact member hashes. That archive's own KG is a different graph and is not a replacement for canonical CombKG_fix.

The stored C32 expression matrix is not part of this collection. These inputs support reproduction from the released benchmark CSVs.

Use immutable dataset revision URLs and verify SHA-256 before extracting. Source data and code retain their respective terms; see THIRD_PARTY.md.

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