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
rule: string
cluster: string
file: string
cards: list<item: string>
child 0, item: string
expected_rows: int64
expected_output: string
org: string
author_model: string
checker_failed: list<item: struct<file: string, reasons: list<item: string>>>
child 0, item: struct<file: string, reasons: list<item: string>>
child 0, file: string
child 1, reasons: list<item: string>
child 0, item: string
files: list<item: struct<file: string, rule: string, cluster: string, row_count: int64, per_card: struct<F3 (... 11051 chars omitted)
child 0, item: struct<file: string, rule: string, cluster: string, row_count: int64, per_card: struct<F38-S1: struc (... 11039 chars omitted)
child 0, file: string
child 1, rule: string
child 2, cluster: string
child 3, row_count: int64
child 4, per_card: struct<F38-S1: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: in (... 10876 chars omitted)
child 0, F38-S1: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: in (... 5 chars omitted)
child 0, n: int64
child 1, want_n: int64
child 2, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 1, F38-S1.ord.before_act: struct<n: int64,
...
rfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 89, M45-S5.lawful: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: in (... 5 chars omitted)
child 0, n: int64
child 1, want_n: int64
child 2, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 5, checker: string
child 6, reasons: list<item: string>
child 0, item: string
child 7, sha256: string
child 8, git_commit: string
date: timestamp[s]
dataset: string
totals: struct<files: int64, rows: int64, rows_per_rule: struct<F38: int64, F53: int64, F54: int64, M31: int (... 66 chars omitted)
child 0, files: int64
child 1, rows: int64
child 2, rows_per_rule: struct<F38: int64, F53: int64, F54: int64, M31: int64, M32.generic: int64, M32.medical_necessity: in (... 16 chars omitted)
child 0, F38: int64
child 1, F53: int64
child 2, F54: int64
child 3, M31: int64
child 4, M32.generic: int64
child 5, M32.medical_necessity: int64
child 6, M45: int64
github_repo: string
synced_utc: timestamp[s]
to
{'dataset': Value('string'), 'org': Value('string'), 'github_repo': Value('string'), 'author_model': Value('string'), 'date': Value('timestamp[s]'), 'synced_utc': Value('timestamp[s]'), 'files': List({'file': Value('string'), 'rule': Value('string'), 'cluster': Value('string'), 'row_count': Value('int64'), 'per_card': {'F38-S1': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.ord.before_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.ord.after_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2.ord.before_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2.ord.after_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool
...
64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S3': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S3.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S4': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S5': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S5.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}}, 'checker': Value('string'), 'reasons': List(Value('string')), 'sha256': Value('string'), 'git_commit': Value('string')}), 'totals': {'files': Value('int64'), 'rows': Value('int64'), 'rows_per_rule': {'F38': Value('int64'), 'F53': Value('int64'), 'F54': Value('int64'), 'M31': Value('int64'), 'M32.generic': Value('int64'), 'M32.medical_necessity': Value('int64'), 'M45': Value('int64')}}, 'checker_failed': List({'file': Value('string'), 'reasons': List(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
rule: string
cluster: string
file: string
cards: list<item: string>
child 0, item: string
expected_rows: int64
expected_output: string
org: string
author_model: string
checker_failed: list<item: struct<file: string, reasons: list<item: string>>>
child 0, item: struct<file: string, reasons: list<item: string>>
child 0, file: string
child 1, reasons: list<item: string>
child 0, item: string
files: list<item: struct<file: string, rule: string, cluster: string, row_count: int64, per_card: struct<F3 (... 11051 chars omitted)
child 0, item: struct<file: string, rule: string, cluster: string, row_count: int64, per_card: struct<F38-S1: struc (... 11039 chars omitted)
child 0, file: string
child 1, rule: string
child 2, cluster: string
child 3, row_count: int64
child 4, per_card: struct<F38-S1: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: in (... 10876 chars omitted)
child 0, F38-S1: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: in (... 5 chars omitted)
child 0, n: int64
child 1, want_n: int64
child 2, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 1, F38-S1.ord.before_act: struct<n: int64,
...
rfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 89, M45-S5.lawful: struct<n: int64, want_n: int64, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: in (... 5 chars omitted)
child 0, n: int64
child 1, want_n: int64
child 2, surfaces: struct<tool: int64, rag: int64, ingress: int64, egress: int64>
child 0, tool: int64
child 1, rag: int64
child 2, ingress: int64
child 3, egress: int64
child 5, checker: string
child 6, reasons: list<item: string>
child 0, item: string
child 7, sha256: string
child 8, git_commit: string
date: timestamp[s]
dataset: string
totals: struct<files: int64, rows: int64, rows_per_rule: struct<F38: int64, F53: int64, F54: int64, M31: int (... 66 chars omitted)
child 0, files: int64
child 1, rows: int64
child 2, rows_per_rule: struct<F38: int64, F53: int64, F54: int64, M31: int64, M32.generic: int64, M32.medical_necessity: in (... 16 chars omitted)
child 0, F38: int64
child 1, F53: int64
child 2, F54: int64
child 3, M31: int64
child 4, M32.generic: int64
child 5, M32.medical_necessity: int64
child 6, M45: int64
github_repo: string
synced_utc: timestamp[s]
to
{'dataset': Value('string'), 'org': Value('string'), 'github_repo': Value('string'), 'author_model': Value('string'), 'date': Value('timestamp[s]'), 'synced_utc': Value('timestamp[s]'), 'files': List({'file': Value('string'), 'rule': Value('string'), 'cluster': Value('string'), 'row_count': Value('int64'), 'per_card': {'F38-S1': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.ord.before_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.ord.after_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S1.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2.ord.before_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'F38-S2.ord.after_act': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool
...
64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S3': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S3.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S4': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S5': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}, 'M45-S5.lawful': {'n': Value('int64'), 'want_n': Value('int64'), 'surfaces': {'tool': Value('int64'), 'rag': Value('int64'), 'ingress': Value('int64'), 'egress': Value('int64')}}}, 'checker': Value('string'), 'reasons': List(Value('string')), 'sha256': Value('string'), 'git_commit': Value('string')}), 'totals': {'files': Value('int64'), 'rows': Value('int64'), 'rows_per_rule': {'F38': Value('int64'), 'F53': Value('int64'), 'F54': Value('int64'), 'M31': Value('int64'), 'M32.generic': Value('int64'), 'M32.medical_necessity': Value('int64'), 'M45': Value('int64')}}, 'checker_failed': List({'file': Value('string'), 'reasons': List(Value('string'))})}
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.
Status: source. never_train=False. Canonical registry: Trustgate_SLM docs/DATASET_REGISTRY.md.
ds-compslm-frontier-run1
Family: multi (COMP-SLM frontier transcripts) Role/status: candidate GitHub repo: trustgate-slm-factory Dataset IDs used: this dataset (not a shipped training mix) Drop=NO list pointer: docs/DATASET_REGISTRY.md Baseline pointer: UNKNOWN
Authored by Trustgate AI. Checker: tools/validate_batch.py. See MANIFEST.json for per-file PASS/FAIL, shas, and git commits.
- Downloads last month
- 138