Dataset Viewer
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
artifact_count: int64
artifacts: list<item: struct<bytes: int64, relative_path: string, sha256: string>>
child 0, item: struct<bytes: int64, relative_path: string, sha256: string>
child 0, bytes: int64
child 1, relative_path: string
child 2, sha256: string
combined_sha256: string
instance_id: string
policy: string
schema_version: string
task_id: string
source_artifact_combined_sha256: string
official_pass: bool
evidence_signal_count: int64
candidate_code_change_content_public: bool
verification: struct<independently_verified: bool, self_published: bool>
child 0, independently_verified: bool
child 1, self_published: bool
model_id: string
selected_evidence_bytes: int64
benchmark: struct<benchmark_id: string, name: string, numbering: string, task_count: int64>
child 0, benchmark_id: string
child 1, name: string
child 2, numbering: string
child 3, task_count: int64
raw_evaluator_log_content_public: bool
generated_at_utc: timestamp[s]
status: string
selected_evidence_sha256: string
crosscheck_conflict: bool
source_artifact_count: int64
counted_as_wrong: bool
classification_reason: string
selected_evidence: string
to
{'benchmark': {'benchmark_id': Value('string'), 'name': Value('string'), 'numbering': Value('string'), 'task_count': Value('int64')}, 'candidate_code_change_content_public': Value('bool'), 'classification_reason': Value('string'), 'counted_as_wrong': Value('bool'), 'crosscheck_conflict': Value('bool'), 'evidence_signal_count': Value('int64'), 'generated_at_utc': Value('timestamp[s]'), 'instance_id': Value('string'), 'model_id': Value('string'), 'official_pass': Value('bool'), 'raw_evaluator_log_content_public': Value('bool'), 'schema_version': Value('string'), 'selected_evidence': Value('string'), 'selected_evidence_bytes': Value('int64'), 'selected_evidence_sha256': Value('string'), 'source_artifact_combined_sha256': Value('string'), 'source_artifact_count': Value('int64'), 'status': Value('string'), 'task_id': Value('string'), 'verification': {'independently_verified': Value('bool'), 'self_published': Value('bool')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
artifact_count: int64
artifacts: list<item: struct<bytes: int64, relative_path: string, sha256: string>>
child 0, item: struct<bytes: int64, relative_path: string, sha256: string>
child 0, bytes: int64
child 1, relative_path: string
child 2, sha256: string
combined_sha256: string
instance_id: string
policy: string
schema_version: string
task_id: string
source_artifact_combined_sha256: string
official_pass: bool
evidence_signal_count: int64
candidate_code_change_content_public: bool
verification: struct<independently_verified: bool, self_published: bool>
child 0, independently_verified: bool
child 1, self_published: bool
model_id: string
selected_evidence_bytes: int64
benchmark: struct<benchmark_id: string, name: string, numbering: string, task_count: int64>
child 0, benchmark_id: string
child 1, name: string
child 2, numbering: string
child 3, task_count: int64
raw_evaluator_log_content_public: bool
generated_at_utc: timestamp[s]
status: string
selected_evidence_sha256: string
crosscheck_conflict: bool
source_artifact_count: int64
counted_as_wrong: bool
classification_reason: string
selected_evidence: string
to
{'benchmark': {'benchmark_id': Value('string'), 'name': Value('string'), 'numbering': Value('string'), 'task_count': Value('int64')}, 'candidate_code_change_content_public': Value('bool'), 'classification_reason': Value('string'), 'counted_as_wrong': Value('bool'), 'crosscheck_conflict': Value('bool'), 'evidence_signal_count': Value('int64'), 'generated_at_utc': Value('timestamp[s]'), 'instance_id': Value('string'), 'model_id': Value('string'), 'official_pass': Value('bool'), 'raw_evaluator_log_content_public': Value('bool'), 'schema_version': Value('string'), 'selected_evidence': Value('string'), 'selected_evidence_bytes': Value('int64'), 'selected_evidence_sha256': Value('string'), 'source_artifact_combined_sha256': Value('string'), 'source_artifact_count': Value('int64'), 'status': Value('string'), 'task_id': Value('string'), 'verification': {'independently_verified': Value('bool'), 'self_published': Value('bool')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
VeriLoop Coder-E1 Evaluation Evidence
This repository contains the public evaluation-evidence packages referenced by the official VeriLoop Coder-E1 benchmark result files.
Model repository:
tsinghua-sigs-robot-lab/veriloop-coder-e1
Evidence packages
| Benchmark | Evidence directory |
|---|---|
| DeepSWE | veriloop-coder-e1-deepswe-evaluation-evidence-v1.0.0 |
| SWE-bench Pro | veriloop-coder-e1-swe-bench-pro-evaluation-evidence-v1.0.0 |
| SWE-bench Verified | veriloop-coder-e1-swe-bench-verified-evaluation-evidence-v1.0.0 |
| Terminal-Bench 2.0 | veriloop-coder-e1-terminal-bench-2-evaluation-evidence-v1.0.0 |
These packages are self-published evaluation evidence. Their presence does not constitute independent benchmark verification unless a valid verification mechanism explicitly states otherwise.
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