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mliu444
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data-archive-1

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    JSONDecodeError
Message:      Expecting value: line 1 column 2 (char 1)
Traceback:    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 2383, in __iter__
                  for key, example in self.ex_iterable:
                                      ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 315, in __iter__
                  for key_example in islice(self.generate_examples_fn(**gen_kwargs), shard_example_idx_start, None):
                                     ~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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 54, in _get_pipeline_from_tar
                  current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/json/__init__.py", line 352, in loads
                  return _default_decoder.decode(s)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^
                File "/usr/local/lib/python3.14/json/decoder.py", line 345, in decode
                  obj, end = self.raw_decode(s, idx=_w(s, 0).end())
                             ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/json/decoder.py", line 363, in raw_decode
                  raise JSONDecodeError("Expecting value", s, err.value) from None
              json.decoder.JSONDecodeError: Expecting value: line 1 column 2 (char 1)

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Data Archive 1

An anonymized archive of multi-agent evaluation artifacts.

Files

  • data-1.tar.zst: evaluation artifacts, group 1
  • data-2.tar.zst: evaluation artifacts, group 2
  • data-3.tar.zst: evaluation artifacts, group 3
  • SHA256SUMS: archive checksums
  • MANIFEST.json: file counts, sizes, and preparation details

The archives contain trajectories, agent events, evaluation results, logs, status files, cost records, run parameters, and sanitized metadata. Source-code trees, recovery worktrees, Git metadata, patches, executables, and submission archives are excluded.

Files matching credential-like patterns were excluded in full. Method names, account identifiers, user-specific paths, bucket names, and email addresses were replaced with neutral placeholders. Fourteen incomplete report.json files are retained as source artifacts and are listed in the manifest; all other JSON and JSONL files passed structural validation.

Extract an archive with:

tar --use-compress-program=unzstd -xf data-1.tar.zst

Verify downloaded files with:

sha256sum -c SHA256SUMS
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