Dataset Viewer
Duplicate
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:    CastError
Message:      Couldn't cast
execution_model: string
expert: string
path: string
sha256: string
988fc9f10f34f5d805afcb9b: int64
4a64a1fd409ed027fcf930ee: int64
a37526d86e534ea1e212da93: int64
e683e3a3c05b50b12b82667c: int64
deb3a68ed44a79c98f2e07f8: int64
e6cc4dcb600cda14c0c411e4: int64
7a66ac263946b685f37653de: int64
225b8325f7dbac96d7a6dcd3: int64
5c065345b05b22f0353da375: int64
e743f18b4dd4f6a27b639155: int64
32353f2d7d0b7cbed5020d27: int64
2ded7eee4f6312fcc9bf5b84: int64
c273b7fc85dff1b1d2fe2ea1: int64
f0609b9f4859dbcaac0b843c: int64
d01bd4c6ca94758752ed4438: int64
27f91ac3ff91fc34c2f3f210: int64
79308fea55a9b850f4d9f9d0: int64
cc395e14fef3d5604bbfbbc4: int64
37ce9a597e3ca6c6c077dd32: int64
77c2ac2ae707523087ee0505: int64
cbd1af58d0a0ac5f7d7aec3e: int64
48e7af442137dbdf55e11775: int64
97c063bc7a35a391bd5255e5: int64
cd35c1d61bdf75ab96b485f5: int64
7c695913cdeac7099c5737a0: int64
5e288a115c170d58485dd9fa: int64
f8bdccd8b72e2a9d2bdfa231: int64
a77dd2708cd3fa2c10cb1357: int64
a926f7407bc589510f7374ba: int64
8618cfbc1387b6260c5dc577: int64
b2543fac0342b27acb4bc23b: int64
347c4fbcd94c88cbb1d8316b: int64
7399c7ebb00ef8f0fe4fef5a: int64
c624f2d8f63ec14deeeca2b9: int64
1176fd2c501b0f998f34827c: int64
f3c29d152fd839622950fce9: int64
9f8bc3563e8fc6fbdaf14264: int64
3d2f01dd4a4320c78f77d94d: int64
5678f8398657593c08c5b59e: int64
e87678a7c527ee17be017d0f: int64
0f615be034517aeff6963059: int64
58032f6a2d3023c7b89e55f7: int64
108a9dd3affcbd8ca72f8783: int64
8579c89bd4c594b8e851dfc4: int64
5727929b5116b728276314d7:
...
742e3a895c966f36be060: int64
7b632845471842d0c9d3fb3d: int64
071aa929e72e506fd3a00044: int64
64ae4560e79c0423fdd6559e: int64
c11ed7c13bd2d15fbe0dea43: int64
15e098b5bfa97d469ccecf40: int64
2bd342b8af36a33ee9871a5e: int64
73665b155a16b8bf903f93bf: int64
9866acaab00fde6dd7896026: int64
0b0f3035a8672de7ebc5467e: int64
534d32013b49a8e21c8f4dbd: int64
edabf827d2885c5347e9a07c: int64
20986b4ce09363af10f6a424: int64
6bc5a44bf83c89f3de47d772: int64
bf4272e1d07fdd1b55817dd1: int64
c3d0b75da8f2786eb35f51a2: int64
14afa88b49fdb7b37c3dc6b9: int64
0673d6044e22101724c39680: int64
a83ae9f675396779ea08e005: int64
2a18334ceefaa3f27293c37b: int64
a7fe13b24381b390c84e8a61: int64
97f3a2d09cbde5db5fe40dfd: int64
df581468e35550e262bc3916: int64
74535f1f2c4922a3d165dc44: int64
1d3ba69624b27b794ed26c02: int64
a22097282c5f9b35184e2611: int64
29c7f5ced2856b3358c64cd5: int64
46adf6636cbc8fa2bad74c7b: int64
6538f403e6dfb80398fda4bc: int64
a63357f61b44acfa77e4779f: int64
9cd8c3abf8c5ff880c8a90ce: int64
4fed18949acf5c96521a88b7: int64
ffa46d2b2fa786eb7a00e3d3: int64
e3804ca95613716ab8106b84: int64
05dde97a3b127bf511211398: int64
5ee9aca4a8b0b36d5c5fce12: int64
9cb7ce388297ed5efe39cf73: int64
06dbef86bae9d294f490283e: int64
3004e7f7fc433dfa9349b77c: int64
15c728a713f15eaa8ce25e63: int64
d504ffb0172193deb029423e: int64
8db6cf8e8a17b200d72b56bf: int64
b790ea60f4d8e1439fdc9c0e: int64
e7eb999ca82ed5fd768e1530: int64
70f863e7193ac12851ba7ec8: int64
61281a22de2d87f595449e12: int64
47336d4b05e7be2ac2d7de0f: int64
to
{'e9a86988161a6be303bcf58d': Value('int64'), '73665b155a16b8bf903f93bf': Value('int64'), '3c745e2b78f85c87e36248f9': Value('int64'), 'b6b3373c1683216b827bba0e': Value('int64'), '74535f1f2c4922a3d165dc44': Value('int64'), 'fc4a6c20d582887b1a489620': Value('int64'), 'fb10e4a0e1c42c9b56877d26': Value('int64'), '53ddbdf51557a58351a3ca2a': Value('int64'), 'd394654a2c0e31916b1fc489': Value('int64'), '84584c4fd30b996cb369c85b': Value('int64'), 'c57dd0683d051d69a5b06b47': Value('int64'), 'cbd7d71aad62c3de0bd10ece': Value('int64'), '2227af315e421b14a596ab7e': Value('int64'), '7399c7ebb00ef8f0fe4fef5a': Value('int64'), '2d95e0728cf3439ddb41ebad': Value('int64'), '97c063bc7a35a391bd5255e5': Value('int64'), '94131ef5dba680b8da47d218': Value('int64'), '8a7f87da87fa45f2a678a3b9': Value('int64'), '5a04707c7ebaf660a6e770ee': Value('int64'), 'd017715e201088f532c36b4f': Value('int64'), '43dd7babfd9e0f0e302d6c39': Value('int64'), 'd5fe944fac4eee51203b20ca': Value('int64'), '9cd8c3abf8c5ff880c8a90ce': Value('int64'), '0a3a8ca84ff9a467e447fc3d': Value('int64'), '672aabb31edab2368bbc0ba1': Value('int64'), '46adf6636cbc8fa2bad74c7b': Value('int64'), '7d111af0f1d6fa8957840061': Value('int64'), '5ab1ea74b532ba07e35076ec': Value('int64'), '0e4921729d0229344c3e030f': Value('int64'), '19e2b74d621fe6ed21adb49a': Value('int64'), '125011ad55cbd1c722b12bee': Value('int64'), 'f379c6b825bc609aabab92c5': Value('int64'), 'f1a371c1e5e0a3a9703c4e93': Value('int64'), '14afa88b49fdb7b37c3dc6b9': Value('int64'), '75
...
4'), '9da473172a77858cf5f5db93': Value('int64'), 'fa1c075c9159bd89bdb28917': Value('int64'), '05dde97a3b127bf511211398': Value('int64'), 'c494bf9c038e7a7d0b3f9568': Value('int64'), 'a81ac49d045910b3a629a536': Value('int64'), 'dea9b1290106937f492d2920': Value('int64'), '120957a1158387adb0ecd985': Value('int64'), '5ee25b0cbc8561e7171bfe3d': Value('int64'), '020f62e8bd1d394287192b01': Value('int64'), 'c1c93af774c439b162ef541b': Value('int64'), 'f17f1f4e768fbe29c1b05c46': Value('int64'), '983359501b06e982db58c15e': Value('int64'), '4c0c035f19135f53a2a030c8': Value('int64'), '17028885adf0b9b21e845674': Value('int64'), '5da4d424246201629ae27aaf': Value('int64'), 'c2b0a1761afc72794217047d': Value('int64'), '64ae4560e79c0423fdd6559e': Value('int64'), '8288dccc0f87364a28521f24': Value('int64'), '8d04cff3843dc62aca601eef': Value('int64'), '7e645b8d5d915b892c51dd29': Value('int64'), 'a37526d86e534ea1e212da93': Value('int64'), '96ae1a8ca58532f837fbbee0': Value('int64'), '109246afc50d49f904dcea97': Value('int64'), 'c883a8e4d91f59228038580a': Value('int64'), '3ef3f2b834da0f62fd2641ee': Value('int64'), '9f8bc3563e8fc6fbdaf14264': Value('int64'), '54e410fba1cd62c84d87d678': Value('int64'), '204d179b61f01bd4008512a6': Value('int64'), 'cf8b635a1896cfe88e560b97': Value('int64'), '506a47b6bd1f2840e6394ad2': Value('int64'), '5727929b5116b728276314d7': Value('int64'), '765300d364df2d640ad92d06': Value('int64'), '4df01b14b0186bd10452a1c1': Value('int64'), '05895f1a219a3bee73c6850a': Value('int64')}
because column names don't match
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              execution_model: string
              expert: string
              path: string
              sha256: string
              988fc9f10f34f5d805afcb9b: int64
              4a64a1fd409ed027fcf930ee: int64
              a37526d86e534ea1e212da93: int64
              e683e3a3c05b50b12b82667c: int64
              deb3a68ed44a79c98f2e07f8: int64
              e6cc4dcb600cda14c0c411e4: int64
              7a66ac263946b685f37653de: int64
              225b8325f7dbac96d7a6dcd3: int64
              5c065345b05b22f0353da375: int64
              e743f18b4dd4f6a27b639155: int64
              32353f2d7d0b7cbed5020d27: int64
              2ded7eee4f6312fcc9bf5b84: int64
              c273b7fc85dff1b1d2fe2ea1: int64
              f0609b9f4859dbcaac0b843c: int64
              d01bd4c6ca94758752ed4438: int64
              27f91ac3ff91fc34c2f3f210: int64
              79308fea55a9b850f4d9f9d0: int64
              cc395e14fef3d5604bbfbbc4: int64
              37ce9a597e3ca6c6c077dd32: int64
              77c2ac2ae707523087ee0505: int64
              cbd1af58d0a0ac5f7d7aec3e: int64
              48e7af442137dbdf55e11775: int64
              97c063bc7a35a391bd5255e5: int64
              cd35c1d61bdf75ab96b485f5: int64
              7c695913cdeac7099c5737a0: int64
              5e288a115c170d58485dd9fa: int64
              f8bdccd8b72e2a9d2bdfa231: int64
              a77dd2708cd3fa2c10cb1357: int64
              a926f7407bc589510f7374ba: int64
              8618cfbc1387b6260c5dc577: int64
              b2543fac0342b27acb4bc23b: int64
              347c4fbcd94c88cbb1d8316b: int64
              7399c7ebb00ef8f0fe4fef5a: int64
              c624f2d8f63ec14deeeca2b9: int64
              1176fd2c501b0f998f34827c: int64
              f3c29d152fd839622950fce9: int64
              9f8bc3563e8fc6fbdaf14264: int64
              3d2f01dd4a4320c78f77d94d: int64
              5678f8398657593c08c5b59e: int64
              e87678a7c527ee17be017d0f: int64
              0f615be034517aeff6963059: int64
              58032f6a2d3023c7b89e55f7: int64
              108a9dd3affcbd8ca72f8783: int64
              8579c89bd4c594b8e851dfc4: int64
              5727929b5116b728276314d7:
              ...
              742e3a895c966f36be060: int64
              7b632845471842d0c9d3fb3d: int64
              071aa929e72e506fd3a00044: int64
              64ae4560e79c0423fdd6559e: int64
              c11ed7c13bd2d15fbe0dea43: int64
              15e098b5bfa97d469ccecf40: int64
              2bd342b8af36a33ee9871a5e: int64
              73665b155a16b8bf903f93bf: int64
              9866acaab00fde6dd7896026: int64
              0b0f3035a8672de7ebc5467e: int64
              534d32013b49a8e21c8f4dbd: int64
              edabf827d2885c5347e9a07c: int64
              20986b4ce09363af10f6a424: int64
              6bc5a44bf83c89f3de47d772: int64
              bf4272e1d07fdd1b55817dd1: int64
              c3d0b75da8f2786eb35f51a2: int64
              14afa88b49fdb7b37c3dc6b9: int64
              0673d6044e22101724c39680: int64
              a83ae9f675396779ea08e005: int64
              2a18334ceefaa3f27293c37b: int64
              a7fe13b24381b390c84e8a61: int64
              97f3a2d09cbde5db5fe40dfd: int64
              df581468e35550e262bc3916: int64
              74535f1f2c4922a3d165dc44: int64
              1d3ba69624b27b794ed26c02: int64
              a22097282c5f9b35184e2611: int64
              29c7f5ced2856b3358c64cd5: int64
              46adf6636cbc8fa2bad74c7b: int64
              6538f403e6dfb80398fda4bc: int64
              a63357f61b44acfa77e4779f: int64
              9cd8c3abf8c5ff880c8a90ce: int64
              4fed18949acf5c96521a88b7: int64
              ffa46d2b2fa786eb7a00e3d3: int64
              e3804ca95613716ab8106b84: int64
              05dde97a3b127bf511211398: int64
              5ee9aca4a8b0b36d5c5fce12: int64
              9cb7ce388297ed5efe39cf73: int64
              06dbef86bae9d294f490283e: int64
              3004e7f7fc433dfa9349b77c: int64
              15c728a713f15eaa8ce25e63: int64
              d504ffb0172193deb029423e: int64
              8db6cf8e8a17b200d72b56bf: int64
              b790ea60f4d8e1439fdc9c0e: int64
              e7eb999ca82ed5fd768e1530: int64
              70f863e7193ac12851ba7ec8: int64
              61281a22de2d87f595449e12: int64
              47336d4b05e7be2ac2d7de0f: int64
              to
              {'e9a86988161a6be303bcf58d': Value('int64'), '73665b155a16b8bf903f93bf': Value('int64'), '3c745e2b78f85c87e36248f9': Value('int64'), 'b6b3373c1683216b827bba0e': Value('int64'), '74535f1f2c4922a3d165dc44': Value('int64'), 'fc4a6c20d582887b1a489620': Value('int64'), 'fb10e4a0e1c42c9b56877d26': Value('int64'), '53ddbdf51557a58351a3ca2a': Value('int64'), 'd394654a2c0e31916b1fc489': Value('int64'), '84584c4fd30b996cb369c85b': Value('int64'), 'c57dd0683d051d69a5b06b47': Value('int64'), 'cbd7d71aad62c3de0bd10ece': Value('int64'), '2227af315e421b14a596ab7e': Value('int64'), '7399c7ebb00ef8f0fe4fef5a': Value('int64'), '2d95e0728cf3439ddb41ebad': Value('int64'), '97c063bc7a35a391bd5255e5': Value('int64'), '94131ef5dba680b8da47d218': Value('int64'), '8a7f87da87fa45f2a678a3b9': Value('int64'), '5a04707c7ebaf660a6e770ee': Value('int64'), 'd017715e201088f532c36b4f': Value('int64'), '43dd7babfd9e0f0e302d6c39': Value('int64'), 'd5fe944fac4eee51203b20ca': Value('int64'), '9cd8c3abf8c5ff880c8a90ce': Value('int64'), '0a3a8ca84ff9a467e447fc3d': Value('int64'), '672aabb31edab2368bbc0ba1': Value('int64'), '46adf6636cbc8fa2bad74c7b': Value('int64'), '7d111af0f1d6fa8957840061': Value('int64'), '5ab1ea74b532ba07e35076ec': Value('int64'), '0e4921729d0229344c3e030f': Value('int64'), '19e2b74d621fe6ed21adb49a': Value('int64'), '125011ad55cbd1c722b12bee': Value('int64'), 'f379c6b825bc609aabab92c5': Value('int64'), 'f1a371c1e5e0a3a9703c4e93': Value('int64'), '14afa88b49fdb7b37c3dc6b9': Value('int64'), '75
              ...
              4'), '9da473172a77858cf5f5db93': Value('int64'), 'fa1c075c9159bd89bdb28917': Value('int64'), '05dde97a3b127bf511211398': Value('int64'), 'c494bf9c038e7a7d0b3f9568': Value('int64'), 'a81ac49d045910b3a629a536': Value('int64'), 'dea9b1290106937f492d2920': Value('int64'), '120957a1158387adb0ecd985': Value('int64'), '5ee25b0cbc8561e7171bfe3d': Value('int64'), '020f62e8bd1d394287192b01': Value('int64'), 'c1c93af774c439b162ef541b': Value('int64'), 'f17f1f4e768fbe29c1b05c46': Value('int64'), '983359501b06e982db58c15e': Value('int64'), '4c0c035f19135f53a2a030c8': Value('int64'), '17028885adf0b9b21e845674': Value('int64'), '5da4d424246201629ae27aaf': Value('int64'), 'c2b0a1761afc72794217047d': Value('int64'), '64ae4560e79c0423fdd6559e': Value('int64'), '8288dccc0f87364a28521f24': Value('int64'), '8d04cff3843dc62aca601eef': Value('int64'), '7e645b8d5d915b892c51dd29': Value('int64'), 'a37526d86e534ea1e212da93': Value('int64'), '96ae1a8ca58532f837fbbee0': Value('int64'), '109246afc50d49f904dcea97': Value('int64'), 'c883a8e4d91f59228038580a': Value('int64'), '3ef3f2b834da0f62fd2641ee': Value('int64'), '9f8bc3563e8fc6fbdaf14264': Value('int64'), '54e410fba1cd62c84d87d678': Value('int64'), '204d179b61f01bd4008512a6': Value('int64'), 'cf8b635a1896cfe88e560b97': Value('int64'), '506a47b6bd1f2840e6394ad2': Value('int64'), '5727929b5116b728276314d7': Value('int64'), '765300d364df2d640ad92d06': Value('int64'), '4df01b14b0186bd10452a1c1': Value('int64'), '05895f1a219a3bee73c6850a': Value('int64')}
              because column names don't match

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ReCoF reproducibility resources

Optional resources for the ReCoF code release, separate from the clean ReInBench dataset. This repository contains the actual frozen feature arrays, selected Recovery Pattern Expert checkpoints, binary Assessment LLM verdicts, and reference predictions used by the published five-seed fusion and ablation experiments. It contains no API keys, SSH details, raw API responses, or server logs.

Dataset inputs and targets are downloaded separately from ReInBench. Join arrays by sample_id. There are 1,025 CUA feature rows, 228 validation score rows, and 238 test score rows. The positive class is observed non-recovery. Assessment LLM cached verdicts cover validation and test only. Five fusion seeds do not represent five independent retrainings of the frozen encoders, expert checkpoints, or Assessment LLM.

The eight local score columns preserve the original implementation. The sixth and seventh columns are identical raw predictions from the same RBF checkpoint. The eighth is the recorded stable vote ensemble. Keep that duplicate for exact reproduction, and use the explicit duplicate-score ablation to remove it.

Pretrained encoder weights are not redistributed here. Source images and task material retain the terms documented by ReInBench. This resource package does not assign a blanket license to third-party material.

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