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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
study: string
link: string
classification: string
indexed: timestamp[s]
receipt: list<item: string>
  child 0, item: string
terms: string
note: string
studies: list<item: struct<study: string, link: string, classification: string, indexed: timestamp[s], receip (... 23 chars omitted)
  child 0, item: struct<study: string, link: string, classification: string, indexed: timestamp[s], receipt: list<ite (... 11 chars omitted)
      child 0, study: string
      child 1, link: string
      child 2, classification: string
      child 3, indexed: timestamp[s]
      child 4, receipt: list<item: string>
          child 0, item: string
to
{'note': Value('string'), 'terms': Value('string'), 'studies': List({'study': Value('string'), 'link': Value('string'), 'classification': Value('string'), 'indexed': Value('timestamp[s]'), 'receipt': List(Value('string'))})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              study: string
              link: string
              classification: string
              indexed: timestamp[s]
              receipt: list<item: string>
                child 0, item: string
              terms: string
              note: string
              studies: list<item: struct<study: string, link: string, classification: string, indexed: timestamp[s], receip (... 23 chars omitted)
                child 0, item: struct<study: string, link: string, classification: string, indexed: timestamp[s], receipt: list<ite (... 11 chars omitted)
                    child 0, study: string
                    child 1, link: string
                    child 2, classification: string
                    child 3, indexed: timestamp[s]
                    child 4, receipt: list<item: string>
                        child 0, item: string
              to
              {'note': Value('string'), 'terms': Value('string'), 'studies': List({'study': Value('string'), 'link': Value('string'), 'classification': Value('string'), 'indexed': Value('timestamp[s]'), 'receipt': List(Value('string'))})}
              because column names don't match

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IRIS List: indexed language-model evaluation studies

Published language-model evaluation studies IRIS has read and indexed, with classification, date indexed and receipt. A classification for indexing, not an assessment.

One row per study in list.jsonl. Codes L1 to L9: https://indahl.ai/iris/key .

Terms

Free to download, read and cite with attribution (Heuremen LLC, with a link to indahl.ai). All rights reserved. Text and data mining, and use of this data to train, fine-tune or build AI models, are not permitted. Names of authors appear as published in their own papers. To have a name or a study removed: https://indahl.ai/contact . Policy: https://indahl.ai/terms#ai-training Reference HLC-3BD5F9D3.

Published by Heuremen LLC. Source: https://indahl.ai . We found it.

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