Datasets:

aldea-ai
/

ruler-6m-niah-appen

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
num_samples: int64
tasks: struct<single_needle_uuid: int64>
  child 0, single_needle_uuid: int64
target_lengths: struct<6000000: int64>
  child 0, 6000000: int64
seed: int64
negative_rate: double
gold_answer: string
n_tokens: int64
doc_id: string
target_tokens: int64
task_type: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'task_type': Value('string'), 'target_tokens': Value('int64'), 'n_tokens': Value('int64'), 'gold_answer': Value('string'), 'doc_id': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              num_samples: int64
              tasks: struct<single_needle_uuid: int64>
                child 0, single_needle_uuid: int64
              target_lengths: struct<6000000: int64>
                child 0, 6000000: int64
              seed: int64
              negative_rate: double
              gold_answer: string
              n_tokens: int64
              doc_id: string
              target_tokens: int64
              task_type: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'task_type': Value('string'), 'target_tokens': Value('int64'), 'n_tokens': Value('int64'), 'gold_answer': Value('string'), 'doc_id': 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.

RULER-6M NIAH Eval — Appen handoff

50 × single_needle_uuid samples at ~6 M tokens per sample. One of four length variants (1 M / 2 M / 6 M / 12 M) prepared for the Appen long-context retrieval handoff.

field	value
samples	50
tasks	`{single_needle_uuid: 50}`
target tokens	6,000,000
seed	1344
negative_rate	0.0

eval/heldout/data.jsonl is the chat-templated form, ready for model.forward(); eval/heldout/raw.jsonl is the pre-template form (tokenizer-agnostic — re-pack with subq-data ruler-pack against any target tokenizer).

Downloads last month: 59

Total file size:

2.5 GB