Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Trailing data
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from 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 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

EvolveBench v11 — judge traces (Claude Opus 5.5, Qwen3.7-Plus)

Grounded-judge traces for the 78-task EvolveBench v11 suite (tasks_version_v11_20260922). Every score in these archives was produced by the same judge: the vendored record-rules-v12-access-recovery grounding harness reached through PYTHONPATH=<task>/environment, scored by gpt-5.4.

Contents

file agent tasks notes
v11_claude_opus55_rejudge_gpt54_redacted.zip Claude Code · Opus 5.5, effort High 78 host-side rejudge, late fallback rungs enabled
v11_qwen37_judge_gpt54_redacted.zip Qwen Code · Qwen3.7-Plus (OpenRouter) 78 host-side judge; see caveats

Each task directory holds judge_runs.json (full record-level verdicts and captured evidence), judge_trajectory.json, judge_summary.json, reward.json, feedback.txt, rejudge.log.

Headline numbers

Reward = overall_score / 5, averaged over all 78 tasks with agent failures counted as zero.

agent overall Lookup Comparison Planning Analysis Custom runtime
Claude Code · Opus 5.5 (High) 74.8 76.5 74.9 77.3 67.4 76.5 7:59 ± 6:34
Qwen Code · Qwen3.7-Plus 53.6 53.7 51.4 58.6 50.4 55.8 8:18 ± 5:55

Task-type columns key on metadata.primary_type in each task's task.toml (n = 16 / 25 / 13 / 11 / 13).

Caveats that matter for comparison

  • Reasoning effort is not matched. Claude ran at effort High. Qwen Code exposes no reasoning-effort dial, so its row carries none. Gemini's adapter caps turn 1 at 600s against Qwen's 2250s, a 3.75x turn-1 compute difference.
  • Failure modes differ in kind, not just degree. Qwen lost 11/78 tasks to agent-side give-ups — 8 client-side tool-call repetition halts, 1 upstream repetition rejection, 1 turn-1 timeout, 1 unparseable summary — versus 1/78 for Claude. A large share of the 21-point gap is the agent stopping, not answering badly.
  • One stale task. Qwen's task-ar-010-job-application-tracker retains its pre-repair judge output (its rejudge exceeded the 3600s judge timeout twice) and is flagged with a rejudge_note field. It also holds 70 of that run's 113 source_access_blocked records; excluding it the blocked residual is 43/1901 = 2.3%, against 3.4% for Claude.

Redaction

These archives are redacted for public release. Scores, record-level verdicts, claim text, URLs and evidence structure are unchanged — every one of the 156 task rewards is byte-identical to the unredacted originals, and all 588 JSON files parse strictly.

Replaced inside string values only:

pattern replacement why
AIzaSy… AIzaSy__THIRD_PARTY_KEY_REDACTED__ Google API keys belonging to third parties, scraped from captured pages (e.g. Maps tile URLs). 26k+ occurrences.
email addresses __EMAIL_REDACTED__ third-party addresses appearing in captured page content
/Users/icy /home/user local filesystem paths
provider key shapes (sk-…, hf_…) placeholder defensive; none of ours were present

No credentials belonging to this project appear in these traces.

Gemini

A Gemini CLI row is not included. The first attempt was cut short when the provider route ran out of quota, and a clean 78-task run is pending. A partial result would invite citation of a number that should not be cited.

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