Datasets:

ChengyiX
/

context-freshness-ledger-cases

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
record_id: string
source: struct<kind: string, reference: string, observed_at: timestamp[s]>
  child 0, kind: string
  child 1, reference: string
  child 2, observed_at: timestamp[s]
scope: string
proposed_action: string
freshness: struct<review_by: timestamp[s], status: string, reason: string>
  child 0, review_by: timestamp[s]
  child 1, status: string
  child 2, reason: string
human_return: struct<required: bool, reason: string>
  child 0, required: bool
  child 1, reason: string
title: string
properties: struct<record_id: struct<type: string, minLength: int64>, source: struct<type: string, additionalPro (... 783 chars omitted)
  child 0, record_id: struct<type: string, minLength: int64>
      child 0, type: string
      child 1, minLength: int64
  child 1, source: struct<type: string, additionalProperties: bool, required: list<item: string>, properties: struct<ki (... 154 chars omitted)
      child 0, type: string
      child 1, additionalProperties: bool
      child 2, required: list<item: string>
          child 0, item: string
      child 3, properties: struct<kind: struct<type: string, enum: list<item: string>>, reference: struct<type: string, minLeng (... 62 chars omitted)
          child 0, kind: struct<type: string, enum: list<item: string>>
              child 0, type: string
              child 1, enum: list<item: string>
                  child 0, item: string
          child 1, reference: struct<type: string, minLength: int64>
              child 0, type: strin
...
additionalProperties: bool
      child 2, required: list<item: string>
          child 0, item: string
      child 3, properties: struct<review_by: struct<type: string, format: string>, status: struct<type: string, enum: list<item (... 59 chars omitted)
          child 0, review_by: struct<type: string, format: string>
              child 0, type: string
              child 1, format: string
          child 1, status: struct<type: string, enum: list<item: string>>
              child 0, type: string
              child 1, enum: list<item: string>
                  child 0, item: string
          child 2, reason: struct<type: string, minLength: int64>
              child 0, type: string
              child 1, minLength: int64
  child 5, human_return: struct<type: string, additionalProperties: bool, required: list<item: string>, properties: struct<re (... 78 chars omitted)
      child 0, type: string
      child 1, additionalProperties: bool
      child 2, required: list<item: string>
          child 0, item: string
      child 3, properties: struct<required: struct<type: string>, reason: struct<type: string, minLength: int64>>
          child 0, required: struct<type: string>
              child 0, type: string
          child 1, reason: struct<type: string, minLength: int64>
              child 0, type: string
              child 1, minLength: int64
$schema: string
description: string
additionalProperties: bool
type: string
required: list<item: string>
  child 0, item: string
to
{'$schema': Value('string'), 'title': Value('string'), 'description': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'record_id': {'type': Value('string'), 'minLength': Value('int64')}, 'source': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'kind': {'type': Value('string'), 'enum': List(Value('string'))}, 'reference': {'type': Value('string'), 'minLength': Value('int64')}, 'observed_at': {'type': Value('string'), 'format': Value('string')}}}, 'scope': {'type': Value('string'), 'minLength': Value('int64')}, 'proposed_action': {'type': Value('string'), 'minLength': Value('int64')}, 'freshness': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'review_by': {'type': Value('string'), 'format': Value('string')}, 'status': {'type': Value('string'), 'enum': List(Value('string'))}, 'reason': {'type': Value('string'), 'minLength': Value('int64')}}}, 'human_return': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'required': {'type': Value('string')}, 'reason': {'type': Value('string'), 'minLength': 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
              record_id: string
              source: struct<kind: string, reference: string, observed_at: timestamp[s]>
                child 0, kind: string
                child 1, reference: string
                child 2, observed_at: timestamp[s]
              scope: string
              proposed_action: string
              freshness: struct<review_by: timestamp[s], status: string, reason: string>
                child 0, review_by: timestamp[s]
                child 1, status: string
                child 2, reason: string
              human_return: struct<required: bool, reason: string>
                child 0, required: bool
                child 1, reason: string
              title: string
              properties: struct<record_id: struct<type: string, minLength: int64>, source: struct<type: string, additionalPro (... 783 chars omitted)
                child 0, record_id: struct<type: string, minLength: int64>
                    child 0, type: string
                    child 1, minLength: int64
                child 1, source: struct<type: string, additionalProperties: bool, required: list<item: string>, properties: struct<ki (... 154 chars omitted)
                    child 0, type: string
                    child 1, additionalProperties: bool
                    child 2, required: list<item: string>
                        child 0, item: string
                    child 3, properties: struct<kind: struct<type: string, enum: list<item: string>>, reference: struct<type: string, minLeng (... 62 chars omitted)
                        child 0, kind: struct<type: string, enum: list<item: string>>
                            child 0, type: string
                            child 1, enum: list<item: string>
                                child 0, item: string
                        child 1, reference: struct<type: string, minLength: int64>
                            child 0, type: strin
              ...
              additionalProperties: bool
                    child 2, required: list<item: string>
                        child 0, item: string
                    child 3, properties: struct<review_by: struct<type: string, format: string>, status: struct<type: string, enum: list<item (... 59 chars omitted)
                        child 0, review_by: struct<type: string, format: string>
                            child 0, type: string
                            child 1, format: string
                        child 1, status: struct<type: string, enum: list<item: string>>
                            child 0, type: string
                            child 1, enum: list<item: string>
                                child 0, item: string
                        child 2, reason: struct<type: string, minLength: int64>
                            child 0, type: string
                            child 1, minLength: int64
                child 5, human_return: struct<type: string, additionalProperties: bool, required: list<item: string>, properties: struct<re (... 78 chars omitted)
                    child 0, type: string
                    child 1, additionalProperties: bool
                    child 2, required: list<item: string>
                        child 0, item: string
                    child 3, properties: struct<required: struct<type: string>, reason: struct<type: string, minLength: int64>>
                        child 0, required: struct<type: string>
                            child 0, type: string
                        child 1, reason: struct<type: string, minLength: int64>
                            child 0, type: string
                            child 1, minLength: int64
              $schema: string
              description: string
              additionalProperties: bool
              type: string
              required: list<item: string>
                child 0, item: string
              to
              {'$schema': Value('string'), 'title': Value('string'), 'description': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'record_id': {'type': Value('string'), 'minLength': Value('int64')}, 'source': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'kind': {'type': Value('string'), 'enum': List(Value('string'))}, 'reference': {'type': Value('string'), 'minLength': Value('int64')}, 'observed_at': {'type': Value('string'), 'format': Value('string')}}}, 'scope': {'type': Value('string'), 'minLength': Value('int64')}, 'proposed_action': {'type': Value('string'), 'minLength': Value('int64')}, 'freshness': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'review_by': {'type': Value('string'), 'format': Value('string')}, 'status': {'type': Value('string'), 'enum': List(Value('string'))}, 'reason': {'type': Value('string'), 'minLength': Value('int64')}}}, 'human_return': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'required': {'type': Value('string')}, 'reason': {'type': Value('string'), 'minLength': Value('int64')}}}}}
              because column names don't match

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Context Freshness Ledger Cases

Context Freshness Ledger Cases is a tiny, fully synthetic reference dataset for testing whether remembered Context remains appropriate for a proposed next step. Each row preserves the source, observed time, scope, proposed action, freshness decision, and whether a person must review the work before it moves forward.

Intended use

The eight records are inspection cases, not user data, product telemetry, benchmarks, or operational authorization. They can help evaluate whether an agent distinguishes current Context from stale or scope-changing Context before preparing a bounded action.

The records use only three synthetic freshness outcomes:

current — the proposed preparation remains inside verified scope.
stale — the source should be rechecked before further work.
needs_review — the source may be current, but a new permission, material judgment, or external commitment requires a person.

Boundaries

This dataset does not access accounts, call tools, send messages, grant permission, contact people, or authorize an external effect. A current decision means only that a bounded preparation may proceed in the synthetic case; it does not make an agent autonomous.

Klik disclosure

I work on Klik. Klik is a pre-launch, app-first, recorder-agnostic proactive-AI direction for carrying deliberate Sessions into persistent Context and permission-aware follow-through. New access, material judgment, and external commitments remain with people.

Explore Klik's pre-launch direction

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