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
category_counts: struct<grid-matrix-image: int64, ordered-trees-indexes: int64, queues-buffers-caches-lists: int64, s (... 85 chars omitted)
  child 0, grid-matrix-image: int64
  child 1, ordered-trees-indexes: int64
  child 2, queues-buffers-caches-lists: int64
  child 3, scheduling-simulation: int64
  child 4, temporal-calendar: int64
  child 5, text-sequence-encoding: int64
contract: struct<official_26: string, official_task_id_overlap: list<item: null>, reference_answers_packaged:  (... 67 chars omitted)
  child 0, official_26: string
  child 1, official_task_id_overlap: list<item: null>
      child 0, item: null
  child 2, reference_answers_packaged: bool
  child 3, response_format: string
  child 4, reward: string
  child 5, task_design: string
counts: struct<categories: int64, families: int64, tasks: int64, terminal_executable_receipts: int64>
  child 0, categories: int64
  child 1, families: int64
  child 2, tasks: int64
  child 3, terminal_executable_receipts: int64
family_counts: struct<ascii-art-scaling: int64, binary-search-tree: int64, circular-buffer: int64, circular-deque:  (... 765 chars omitted)
  child 0, ascii-art-scaling: int64
  child 1, binary-search-tree: int64
  child 2, circular-buffer: int64
  child 3, circular-deque: int64
  child 4, clock-arithmetic: int64
  child 5, countdown-timers: int64
  child 6, cross-midnight-intervals: int64
  child 7, date-difference: int64
  child 8, duration-formatting: int64
  child 9, elapsed-time-accumulation: int64
  child 10, flood-fill: int64
  child 11, future-date-calculations: int64
  child 12, grid-ownership-mapping: int64
  child 13, interval-scheduling: int64
  child 14, leap-year-rule: int64
  child 15, maze-to-graph: int64
  child 16, nth-and-final-occurrences: int64
  child 17, offset-aware-range-overlap: int64
  child 18, ordered-registry: int64
  child 19, overflow-safe-date-math: int64
  child 20, pattern-printing: int64
  child 21, producer-consumer-ring: int64
  child 22, robot-simulation: int64
  child 23, run-length-encoding: int64
  child 24, run-length-image-encoding: int64
  child 25, sequence-pattern: int64
  child 26, skip-list: int64
  child 27, sliding-window-maximum: int64
  child 28, sparse-matrix-encoding: int64
  child 29, table-pivot: int64
  child 30, text-justification: int64
  child 31, trie: int64
kind: string
schema_version: int64
usage: struct<argument: struct<max_turns: int64, tasks_dir: string>, data_builder: string, environment: str (... 70 chars omitted)
  child 0, argument: struct<max_turns: int64, tasks_dir: string>
      child 0, max_turns: int64
      child 1, tasks_dir: string
  child 1, data_builder: string
  child 2, environment: string
  child 3, environment_code_changes_required: bool
  child 4, reward_function: string
archive_root: string
source_manifest_kind: string
source_tree_sha256: string
archive_sha256: string
source_manifest_sha256: string
archive: string
to
{'archive': Value('string'), 'archive_root': Value('string'), 'archive_sha256': Value('string'), 'contract': {'official_26': Value('string'), 'official_task_id_overlap': List(Value('null')), 'reference_answers_packaged': Value('bool'), 'response_format': Value('string'), 'reward': Value('string'), 'task_design': Value('string')}, 'counts': {'files': Value('int64'), 'tasks': Value('int64')}, 'kind': Value('string'), 'schema_version': Value('int64'), 'source_manifest_kind': Value('string'), 'source_manifest_sha256': Value('string'), 'source_tree_sha256': Value('string')}
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
              category_counts: struct<grid-matrix-image: int64, ordered-trees-indexes: int64, queues-buffers-caches-lists: int64, s (... 85 chars omitted)
                child 0, grid-matrix-image: int64
                child 1, ordered-trees-indexes: int64
                child 2, queues-buffers-caches-lists: int64
                child 3, scheduling-simulation: int64
                child 4, temporal-calendar: int64
                child 5, text-sequence-encoding: int64
              contract: struct<official_26: string, official_task_id_overlap: list<item: null>, reference_answers_packaged:  (... 67 chars omitted)
                child 0, official_26: string
                child 1, official_task_id_overlap: list<item: null>
                    child 0, item: null
                child 2, reference_answers_packaged: bool
                child 3, response_format: string
                child 4, reward: string
                child 5, task_design: string
              counts: struct<categories: int64, families: int64, tasks: int64, terminal_executable_receipts: int64>
                child 0, categories: int64
                child 1, families: int64
                child 2, tasks: int64
                child 3, terminal_executable_receipts: int64
              family_counts: struct<ascii-art-scaling: int64, binary-search-tree: int64, circular-buffer: int64, circular-deque:  (... 765 chars omitted)
                child 0, ascii-art-scaling: int64
                child 1, binary-search-tree: int64
                child 2, circular-buffer: int64
                child 3, circular-deque: int64
                child 4, clock-arithmetic: int64
                child 5, countdown-timers: int64
                child 6, cross-midnight-intervals: int64
                child 7, date-difference: int64
                child 8, duration-formatting: int64
                child 9, elapsed-time-accumulation: int64
                child 10, flood-fill: int64
                child 11, future-date-calculations: int64
                child 12, grid-ownership-mapping: int64
                child 13, interval-scheduling: int64
                child 14, leap-year-rule: int64
                child 15, maze-to-graph: int64
                child 16, nth-and-final-occurrences: int64
                child 17, offset-aware-range-overlap: int64
                child 18, ordered-registry: int64
                child 19, overflow-safe-date-math: int64
                child 20, pattern-printing: int64
                child 21, producer-consumer-ring: int64
                child 22, robot-simulation: int64
                child 23, run-length-encoding: int64
                child 24, run-length-image-encoding: int64
                child 25, sequence-pattern: int64
                child 26, skip-list: int64
                child 27, sliding-window-maximum: int64
                child 28, sparse-matrix-encoding: int64
                child 29, table-pivot: int64
                child 30, text-justification: int64
                child 31, trie: int64
              kind: string
              schema_version: int64
              usage: struct<argument: struct<max_turns: int64, tasks_dir: string>, data_builder: string, environment: str (... 70 chars omitted)
                child 0, argument: struct<max_turns: int64, tasks_dir: string>
                    child 0, max_turns: int64
                    child 1, tasks_dir: string
                child 1, data_builder: string
                child 2, environment: string
                child 3, environment_code_changes_required: bool
                child 4, reward_function: string
              archive_root: string
              source_manifest_kind: string
              source_tree_sha256: string
              archive_sha256: string
              source_manifest_sha256: string
              archive: string
              to
              {'archive': Value('string'), 'archive_root': Value('string'), 'archive_sha256': Value('string'), 'contract': {'official_26': Value('string'), 'official_task_id_overlap': List(Value('null')), 'reference_answers_packaged': Value('bool'), 'response_format': Value('string'), 'reward': Value('string'), 'task_design': Value('string')}, 'counts': {'files': Value('int64'), 'tasks': Value('int64')}, 'kind': Value('string'), 'schema_version': Value('int64'), 'source_manifest_kind': Value('string'), 'source_manifest_sha256': Value('string'), 'source_tree_sha256': Value('string')}
              because column names don't match

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.

GLM-4.7 Aider-style C++ RL tasks v2

This access-controlled package contains 253 independently authored C++ repository-editing tasks used for executable-reward post-training of GLM-4.7-Flash.

These are training tasks, not official Aider or Exercism benchmark tasks. The official 26-task Aider C++ evaluation set is not included and remains evaluation-only. The package proves zero official task-ID overlap.

Each task provides an Aider whole-file-edit prompt, starter repository, controlled rubric, and hidden executable tests. Reference answers are not packaged. Training rewards response-format validity, compilation, partial executable-test progress, and complete test success.

Package identity:

  • 253 tasks and 1,519 files
  • archive SHA-256: 97d70ca9e6ab3ef76141169b188e1049524bdbfa651b2420dbbd5c78968c7c59
  • source manifest SHA-256: b37653def2cdad8c2e927af30c4de6e979c3af3ef0ea66a66671d5e7ff18d1ee
  • source tree SHA-256: a8bb8030f7ec287eee4f5c19146374d6722ec5af310cad632ed5938e7280f686

SHA256SUMS binds the deterministic archive and manifests. Consumers must verify the pinned repository revision, checksums, task count, file allowlists, and hidden-test hashes before training.

Downloads last month
4