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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schemaVersion: int64
scorerVersion: string
provenance: string
suiteHash: string
seeds: list<item: int64>
  child 0, item: int64
cells: list<item: string>
  child 0, item: string
excludedFamilies: list<item: null>
  child 0, item: null
sources: list<item: struct<file: string, sha256: string>>
  child 0, item: struct<file: string, sha256: string>
      child 0, file: string
      child 1, sha256: string
models: list<item: struct<model: string, all: struct<total: int64, n: int64, errors: int64, passed: int64, s (... 6321 chars omitted)
  child 0, item: struct<model: string, all: struct<total: int64, n: int64, errors: int64, passed: int64, strict: doub (... 6309 chars omitted)
      child 0, model: string
      child 1, all: struct<total: int64, n: int64, errors: int64, passed: int64, strict: double, interval95: list<item:  (... 75 chars omitted)
          child 0, total: int64
          child 1, n: int64
          child 2, errors: int64
          child 3, passed: int64
          child 4, strict: double
          child 5, interval95: list<item: double>
              child 0, item: double
          child 6, finalAnswerMatches: int64
          child 7, finalAnswer: double
          child 8, formatOnly: int64
      child 2, eligible: struct<total: int64, n: int64, errors: int64, passed: int64, strict: double, interval95: list<item:  (... 75 chars omitted)
          child 0, total: int64
          child 1, n: int64
          child 2, errors: int64
          child 3, passed: int64
   
...
 int64
          child 1, gainedPasses: int64
collectedOn: timestamp[s]
status: string
protocol: list<item: struct<adapter: string, config: struct<model: string, endpoint: string, maxTokens: int64, (... 185 chars omitted)
  child 0, item: struct<adapter: string, config: struct<model: string, endpoint: string, maxTokens: int64, temperatur (... 173 chars omitted)
      child 0, adapter: string
      child 1, config: struct<model: string, endpoint: string, maxTokens: int64, temperature: int64, timeoutMs: int64, prot (... 13 chars omitted)
          child 0, model: string
          child 1, endpoint: string
          child 2, maxTokens: int64
          child 3, temperature: int64
          child 4, timeoutMs: int64
          child 5, protocol: string
      child 2, concurrency: int64
      child 3, timeoutMs: int64
      child 4, runtime: string
      child 5, source: struct<revision: string, dirty: bool>
          child 0, revision: string
          child 1, dirty: bool
      child 6, episodeProtocol: string
id: string
suiteVersion: string
limitations: list<item: string>
  child 0, item: string
track: string
artifacts: list<item: struct<file: string, sha256: string, bytes: int64>>
  child 0, item: struct<file: string, sha256: string, bytes: int64>
      child 0, file: string
      child 1, sha256: string
      child 2, bytes: int64
scoring: struct<strict: string, diagnostic: string, errors: string>
  child 0, strict: string
  child 1, diagnostic: string
  child 2, errors: string
to
{'schemaVersion': Value('int64'), 'id': Value('string'), 'track': Value('string'), 'status': Value('string'), 'collectedOn': Value('timestamp[s]'), 'suiteVersion': Value('string'), 'scorerVersion': Value('string'), 'suiteHash': Value('string'), 'seeds': List(Value('int64')), 'cells': List(Value('string')), 'models': List(Value('string')), 'protocol': List({'adapter': Value('string'), 'config': {'model': Value('string'), 'endpoint': Value('string'), 'maxTokens': Value('int64'), 'temperature': Value('int64'), 'timeoutMs': Value('int64'), 'protocol': Value('string')}, 'concurrency': Value('int64'), 'timeoutMs': Value('int64'), 'runtime': Value('string'), 'source': {'revision': Value('string'), 'dirty': Value('bool')}, 'episodeProtocol': Value('string')}), 'scoring': {'strict': Value('string'), 'diagnostic': Value('string'), 'errors': Value('string')}, 'limitations': List(Value('string')), 'artifacts': List({'file': Value('string'), 'sha256': Value('string'), 'bytes': 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
              schemaVersion: int64
              scorerVersion: string
              provenance: string
              suiteHash: string
              seeds: list<item: int64>
                child 0, item: int64
              cells: list<item: string>
                child 0, item: string
              excludedFamilies: list<item: null>
                child 0, item: null
              sources: list<item: struct<file: string, sha256: string>>
                child 0, item: struct<file: string, sha256: string>
                    child 0, file: string
                    child 1, sha256: string
              models: list<item: struct<model: string, all: struct<total: int64, n: int64, errors: int64, passed: int64, s (... 6321 chars omitted)
                child 0, item: struct<model: string, all: struct<total: int64, n: int64, errors: int64, passed: int64, strict: doub (... 6309 chars omitted)
                    child 0, model: string
                    child 1, all: struct<total: int64, n: int64, errors: int64, passed: int64, strict: double, interval95: list<item:  (... 75 chars omitted)
                        child 0, total: int64
                        child 1, n: int64
                        child 2, errors: int64
                        child 3, passed: int64
                        child 4, strict: double
                        child 5, interval95: list<item: double>
                            child 0, item: double
                        child 6, finalAnswerMatches: int64
                        child 7, finalAnswer: double
                        child 8, formatOnly: int64
                    child 2, eligible: struct<total: int64, n: int64, errors: int64, passed: int64, strict: double, interval95: list<item:  (... 75 chars omitted)
                        child 0, total: int64
                        child 1, n: int64
                        child 2, errors: int64
                        child 3, passed: int64
                 
              ...
               int64
                        child 1, gainedPasses: int64
              collectedOn: timestamp[s]
              status: string
              protocol: list<item: struct<adapter: string, config: struct<model: string, endpoint: string, maxTokens: int64, (... 185 chars omitted)
                child 0, item: struct<adapter: string, config: struct<model: string, endpoint: string, maxTokens: int64, temperatur (... 173 chars omitted)
                    child 0, adapter: string
                    child 1, config: struct<model: string, endpoint: string, maxTokens: int64, temperature: int64, timeoutMs: int64, prot (... 13 chars omitted)
                        child 0, model: string
                        child 1, endpoint: string
                        child 2, maxTokens: int64
                        child 3, temperature: int64
                        child 4, timeoutMs: int64
                        child 5, protocol: string
                    child 2, concurrency: int64
                    child 3, timeoutMs: int64
                    child 4, runtime: string
                    child 5, source: struct<revision: string, dirty: bool>
                        child 0, revision: string
                        child 1, dirty: bool
                    child 6, episodeProtocol: string
              id: string
              suiteVersion: string
              limitations: list<item: string>
                child 0, item: string
              track: string
              artifacts: list<item: struct<file: string, sha256: string, bytes: int64>>
                child 0, item: struct<file: string, sha256: string, bytes: int64>
                    child 0, file: string
                    child 1, sha256: string
                    child 2, bytes: int64
              scoring: struct<strict: string, diagnostic: string, errors: string>
                child 0, strict: string
                child 1, diagnostic: string
                child 2, errors: string
              to
              {'schemaVersion': Value('int64'), 'id': Value('string'), 'track': Value('string'), 'status': Value('string'), 'collectedOn': Value('timestamp[s]'), 'suiteVersion': Value('string'), 'scorerVersion': Value('string'), 'suiteHash': Value('string'), 'seeds': List(Value('int64')), 'cells': List(Value('string')), 'models': List(Value('string')), 'protocol': List({'adapter': Value('string'), 'config': {'model': Value('string'), 'endpoint': Value('string'), 'maxTokens': Value('int64'), 'temperature': Value('int64'), 'timeoutMs': Value('int64'), 'protocol': Value('string')}, 'concurrency': Value('int64'), 'timeoutMs': Value('int64'), 'runtime': Value('string'), 'source': {'revision': Value('string'), 'dirty': Value('bool')}, 'episodeProtocol': Value('string')}), 'scoring': {'strict': Value('string'), 'diagnostic': Value('string'), 'errors': Value('string')}, 'limitations': List(Value('string')), 'artifacts': List({'file': Value('string'), 'sha256': Value('string'), 'bytes': Value('int64')})}
              because column names don't match

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Clankdar benchmark reports

Published calibration reports for Clankdar, which generates puzzles and scores answers with deterministic rules. Use these files to inspect recorded counts, model aliases, excluded cells, and the exact suite and scorer versions behind the published results.

Files and interpretation

Each folder under data/ preserves one public archive's manifest.json and report.json:

  • pilot-v0: the legacy pilot. Its provenance and scoring limits remain part of the report.
  • v2-calibration-0: calibration on the earlier clankdar-suite-v2 puzzle set.
  • frontier-v0: unaided responses on the frontier puzzle set.
  • agent-v0: tool use with a fixed interaction budget.

Compare runs only when the suite, scorer, prompt, seed policy, and interaction budget match. Keep the tool-agent results separate from unaided results. Model names are requested aliases; they do not establish the identity of the system that answered. These historical scores do not describe the current ALGAL puzzle set.

The reports contain aggregate scores and source references. Raw response archives remain linked from the original benchmark page. This dataset does not contain those responses or signed check records. A report alone cannot independently establish the correctness of every recorded score.

These downloads form an artifact archive with several JSON schemas. Read individual files using their recorded schema; a combined datasets.load_dataset table is not provided.

Provenance and updates

The source repository owns these files. export-manifest.json records the source commit and SHA-256 of each file. Existing version folders remain frozen; new public runs receive new folders. Corrections receive a new version with an explanation linking the affected archive.

License and attribution

The selected aggregate reports and protocols in this archive are by Hraness and licensed under Creative Commons Attribution 4.0 International. Attribute Hraness and link to the original benchmark page and the source revision recorded in export-manifest.json.

This license covers the selected files listed in export-manifest.json and this card. It does not cover source code, private transcripts, or raw provider responses. Source code retains its original terms.

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