Reproducing Personalised Session Search over the AOL Query Log
Paper • 2201.08622 • Published
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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
doc_id: string
url: string
wb_url: string
status: string
title: string
text: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
counts: struct<ok: int64, not_found: int64, non_html: int64>
child 0, ok: int64
child 1, not_found: int64
child 2, non_html: int64
source_md5: string
source_url: string
total_mapping_rows: int64
resolved: int64
complete: bool
updated_at: timestamp[s]
upstream_revision: string
to
{'source_url': Value('string'), 'source_md5': Value('string'), 'upstream_revision': Value('string'), 'counts': {'ok': Value('int64'), 'not_found': Value('int64'), 'non_html': Value('int64')}, 'total_mapping_rows': Value('int64'), 'resolved': Value('int64'), 'complete': Value('bool'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'bytes': Value('int64')}), 'updated_at': Value('timestamp[s]')}
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
doc_id: string
url: string
wb_url: string
status: string
title: string
text: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
counts: struct<ok: int64, not_found: int64, non_html: int64>
child 0, ok: int64
child 1, not_found: int64
child 2, non_html: int64
source_md5: string
source_url: string
total_mapping_rows: int64
resolved: int64
complete: bool
updated_at: timestamp[s]
upstream_revision: string
to
{'source_url': Value('string'), 'source_md5': Value('string'), 'upstream_revision': Value('string'), 'counts': {'ok': Value('int64'), 'not_found': Value('int64'), 'non_html': Value('int64')}, 'total_mapping_rows': Value('int64'), 'resolved': Value('int64'), 'complete': Value('bool'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'bytes': Value('int64')}), 'updated_at': Value('timestamp[s]')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
AOL-IA document download
Resumable reconstruction, not a completed benchmark release. Only archived public documents and URL/download state; no user IDs, queries or click logs. Source: https://github.com/terrierteam/aolia-tools Paper: https://arxiv.org/abs/2201.08622
Document copyrights remain with their respective owners; no new license is granted. See manifest.json for progress and hashes. Shards contain status=ok documents and explicit not_found/non_html records. Retryable failures are NOT marked complete. 403 responses are retried, unlike the original downloader.
Recovery commands: scripts/AOL_IA.md. Never run two writers on this repo concurrently.
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