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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
query_id: string
vector: list<item: int64>
  child 0, item: int64
filter: struct<all: list<item: int64>>
  child 0, all: list<item: int64>
      child 0, item: int64
k: int64
group: string
ids: list<item: int64>
  child 0, item: int64
distances: list<item: double>
  child 0, item: double
eligible_count: int64
to
{'query_id': Value('string'), 'ids': List(Value('int64')), 'distances': List(Value('float64')), 'eligible_count': Value('int64'), 'group': 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
              query_id: string
              vector: list<item: int64>
                child 0, item: int64
              filter: struct<all: list<item: int64>>
                child 0, all: list<item: int64>
                    child 0, item: int64
              k: int64
              group: string
              ids: list<item: int64>
                child 0, item: int64
              distances: list<item: double>
                child 0, item: double
              eligible_count: int64
              to
              {'query_id': Value('string'), 'ids': List(Value('int64')), 'distances': List(Value('float64')), 'eligible_count': Value('int64'), 'group': Value('string')}
              because column names don't match

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Search-SWE development inputs — bingyu

Public input assets for the implementation task task-1-x-1, authored by bingyu. This is a contributor development dataset, not the official Search-SWE release.

Files live under development/bingyu/1-x-1/:

  • corpus/: YFCC-10M vectors, CSR tags and format metadata.
  • validation/: ten public development queries and exact filtered Top-10 labels.
  • example/: an independent synthetic 64-document example with 17 queries.

The nine files total 2,865,730,488 bytes. manifest.json records their exact sizes and SHA-256 hashes. In the GitHub task package they are restored under data/, using the immutable HF revision pinned in that package's assets.json.

The upstream YFCC-10M release is attributed and linked under CC BY 4.0 in SOURCES.md. That file distinguishes upstream data and derived inputs from task-authored metadata and the synthetic fixture, whose standalone license has not been supplied. The repository-level other label refers to those per-file terms; it does not replace or relicense the upstream CC BY 4.0 grant.

Only public input assets are included. Held-out task queries/labels, reference solutions, job results, credentials and task code are not part of this dataset. Keep this pinned development snapshot available through task review and until any official replacement has been published and verified.

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