Datasets:

aldea-ai
/

ruler-4m-niah

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<4000000: int64>
  child 0, 4000000: int64
seed: int64
negative_rate: double
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
doc_id: string
n_tokens: int64
gold_answer: string
target_tokens: int64
task_type: 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<4000000: int64>
                child 0, 4000000: int64
              seed: int64
              negative_rate: double
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              doc_id: string
              n_tokens: int64
              gold_answer: string
              target_tokens: int64
              task_type: 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-4M NIAH Eval

20 single_needle_uuid held-out samples at ~4 M tokens per sample, for benchmarking long-context retrieval. Generated with subq-data (github.com/subquadratic-ai/ruler-data-generator), packed with phase4-vocab tokenizer (vocab 248,044).

Stats

field	value
samples	20
tasks	{single_needle_uuid: 20}
target tokens	4,000,000
actual median tokens	3,879,905 (~97%)
seed	1344
negative_rate	0.0

Files

eval/heldout/data.jsonl - chat-templated, ready for model.forward()
eval/heldout/raw.jsonl - pre-template form
eval/heldout/stats.json, eval/heldout/raw_stats.json

Sibling

12M version: https://huggingface.co/datasets/aldea-ai/ruler-12m-sft

Downloads last month: 28

Total file size:

667 MB