The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
bridges: list<item: struct<normalized_weight: double, target_address: string, target_leaf: int64>>
child 0, item: struct<normalized_weight: double, target_address: string, target_leaf: int64>
child 0, normalized_weight: double
child 1, target_address: string
child 2, target_leaf: int64
child_id: string
child_index: int64
leaf_index: int64
llm_label: null
machine_label: string
parent_id: string
parent_index: int64
representatives: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
size: int64
view_palette: struct<episode: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centr (... 183 chars omitted)
child 0, episode: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
child 1, relation: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
url: string
docid: string
title: string
index: int64
domain: string
to
{'docid': Value('string'), 'domain': Value('string'), 'index': Value('int64'), 'title': Value('string'), 'url': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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
bridges: list<item: struct<normalized_weight: double, target_address: string, target_leaf: int64>>
child 0, item: struct<normalized_weight: double, target_address: string, target_leaf: int64>
child 0, normalized_weight: double
child 1, target_address: string
child 2, target_leaf: int64
child_id: string
child_index: int64
leaf_index: int64
llm_label: null
machine_label: string
parent_id: string
parent_index: int64
representatives: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
size: int64
view_palette: struct<episode: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centr (... 183 chars omitted)
child 0, episode: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
child 1, relation: list<item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, r (... 27 chars omitted)
child 0, item: struct<domain: string, file_index: int64, handle: string, multiview_centrality: double, rank: int64, (... 15 chars omitted)
child 0, domain: string
child 1, file_index: int64
child 2, handle: string
child 3, multiview_centrality: double
child 4, rank: int64
child 5, title: string
url: string
docid: string
title: string
index: int64
domain: string
to
{'docid': Value('string'), 'domain': Value('string'), 'index': Value('int64'), 'title': Value('string'), 'url': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
docid string | domain string | index int64 | title string | url string |
|---|---|---|---|---|
FQ00000307 | en.wikipedia.org | 0 | Title: Abraham Lincoln | https://en.wikipedia.org/wiki/Abraham_Lincoln |
FQ00000624 | en.wikipedia.org | 1 | Title: Alaska | https://en.wikipedia.org/wiki/Alaska |
FQ00000689 | en.wikipedia.org | 2 | Title: Asia | https://en.wikipedia.org/wiki/Asia |
FQ00000737 | en.wikipedia.org | 3 | Title: Afghanistan | https://en.wikipedia.org/wiki/Afghanistan |
FQ00000738 | en.wikipedia.org | 4 | Title: Albania | https://en.wikipedia.org/wiki/Albania |
FQ00000802 | en.wikipedia.org | 5 | Title: Ankara | https://en.wikipedia.org/wiki/Ankara |
FQ00000856 | en.wikipedia.org | 6 | Title: Apple Inc. | https://en.wikipedia.org/wiki/Apple_Inc. |
FQ00000899 | en.wikipedia.org | 7 | Title: Actinium | https://en.wikipedia.org/wiki/Actinium |
FQ00000984 | en.wikipedia.org | 8 | Title: Agatha Christie | https://en.wikipedia.org/wiki/Agatha_Christie |
FQ00001247 | en.wikipedia.org | 9 | Title: Alfonso Cuarón | https://en.wikipedia.org/wiki/Alfonso_Cuar%C3%B3n |
FQ00001623 | en.wikipedia.org | 10 | Title: Andrew Jackson | https://en.wikipedia.org/wiki/Andrew_Jackson |
FQ00001624 | en.wikipedia.org | 11 | Title: Andrew Johnson | https://en.wikipedia.org/wiki/Andrew_Johnson |
FQ00001701 | en.wikipedia.org | 12 | Title: Amazon River | https://en.wikipedia.org/wiki/Amazon_River |
FQ00002067 | en.wikipedia.org | 13 | Title: Ann Arbor, Michigan | https://en.wikipedia.org/wiki/Ann_Arbor,_Michigan |
FQ00002140 | en.wikipedia.org | 14 | Title: Atlanta Braves | https://en.wikipedia.org/wiki/Atlanta_Braves |
FQ00002174 | en.wikipedia.org | 15 | Title: Arsenal F.C. | https://en.wikipedia.org/wiki/Arsenal_F.C. |
FQ00003338 | en.wikipedia.org | 16 | Title: The Bronx | https://en.wikipedia.org/wiki/The_Bronx |
FQ00003343 | en.wikipedia.org | 17 | Title: Belgium | https://en.wikipedia.org/wiki/Belgium |
FQ00003354 | en.wikipedia.org | 18 | Title: Berlin | https://en.wikipedia.org/wiki/Berlin |
FQ00003356 | en.wikipedia.org | 19 | Title: Bill Clinton | https://en.wikipedia.org/wiki/Bill_Clinton |
FQ00003378 | en.wikipedia.org | 20 | Title: Beryllium | https://en.wikipedia.org/wiki/Beryllium |
FQ00003383 | en.wikipedia.org | 21 | Title: Brazil | https://en.wikipedia.org/wiki/Brazil |
FQ00003454 | en.wikipedia.org | 22 | Title: Bangladesh | https://en.wikipedia.org/wiki/Bangladesh |
FQ00003457 | en.wikipedia.org | 23 | Title: Belarus | https://en.wikipedia.org/wiki/Belarus |
FQ00003466 | en.wikipedia.org | 24 | Title: Brunei | https://en.wikipedia.org/wiki/Brunei |
FQ00003747 | en.wikipedia.org | 25 | Title: Bill Gates | https://en.wikipedia.org/wiki/Bill_Gates |
FQ00003755 | en.wikipedia.org | 26 | Title: Boron | https://en.wikipedia.org/wiki/Boron |
FQ00003758 | en.wikipedia.org | 27 | Title: Berkelium | https://en.wikipedia.org/wiki/Berkelium |
FQ00003986 | en.wikipedia.org | 28 | Title: Benjamin Franklin | https://en.wikipedia.org/wiki/Benjamin_Franklin |
FQ00004157 | en.wikipedia.org | 29 | Title: Brown University | https://en.wikipedia.org/wiki/Brown_University |
FQ00004315 | en.wikipedia.org | 30 | Title: Buffalo Bills | https://en.wikipedia.org/wiki/Buffalo_Bills |
FQ00004368 | en.wikipedia.org | 31 | Title: Beagle | https://en.wikipedia.org/wiki/Beagle |
FQ00004443 | en.wikipedia.org | 32 | Title: Barcelona | https://en.wikipedia.org/wiki/Barcelona |
FQ00004518 | en.wikipedia.org | 33 | Title: Borneo | https://en.wikipedia.org/wiki/Borneo |
FQ00004752 | en.wikipedia.org | 34 | Title: Brasília | https://en.wikipedia.org/wiki/Bras%C3%ADlia |
FQ00005192 | en.wikipedia.org | 35 | Title: Geography of Canada | https://en.wikipedia.org/wiki/Geography_of_Canada |
FQ00005193 | en.wikipedia.org | 36 | Title: Demographics of Canada | https://en.wikipedia.org/wiki/Demographics_of_Canada |
FQ00005222 | en.wikipedia.org | 37 | Title: Colombia | https://en.wikipedia.org/wiki/Colombia |
FQ00005405 | en.wikipedia.org | 38 | Title: China | https://en.wikipedia.org/wiki/China |
FQ00005407 | en.wikipedia.org | 39 | Title: California | https://en.wikipedia.org/wiki/California |
FQ00005447 | en.wikipedia.org | 40 | Title: Cameroon | https://en.wikipedia.org/wiki/Cameroon |
FQ00005573 | en.wikipedia.org | 41 | Title: Croatia | https://en.wikipedia.org/wiki/Croatia |
FQ00005765 | en.wikipedia.org | 42 | Title: Çatalhöyük | https://en.wikipedia.org/wiki/%C3%87atalh%C3%B6y%C3%BCk |
FQ00006195 | en.wikipedia.org | 43 | Title: Calvin Coolidge | https://en.wikipedia.org/wiki/Calvin_Coolidge |
FQ00006285 | en.wikipedia.org | 44 | Title: Cube | https://en.wikipedia.org/wiki/Cube |
FQ00006310 | en.wikipedia.org | 45 | Title: Columbia University | https://en.wikipedia.org/wiki/Columbia_University |
FQ00006612 | en.wikipedia.org | 46 | Title: Cincinnati Bengals | https://en.wikipedia.org/wiki/Cincinnati_Bengals |
FQ00006613 | en.wikipedia.org | 47 | Title: Yangtze | https://en.wikipedia.org/wiki/Yangtze |
FQ00006827 | en.wikipedia.org | 48 | Title: Cuban Missile Crisis | https://en.wikipedia.org/wiki/Cuban_Missile_Crisis |
FQ00006886 | en.wikipedia.org | 49 | Title: Chicago | https://en.wikipedia.org/wiki/Chicago |
FQ00007199 | en.wikipedia.org | 50 | Title: List of cat breeds | https://en.wikipedia.org/wiki/List_of_cat_breeds |
FQ00007473 | en.wikipedia.org | 51 | Title: Chelsea F.C. | https://en.wikipedia.org/wiki/Chelsea_F.C. |
FQ00008121 | en.wikipedia.org | 52 | Title: Dallas Cowboys | https://en.wikipedia.org/wiki/Dallas_Cowboys |
FQ00008182 | en.wikipedia.org | 53 | Title: Dwight D. Eisenhower | https://en.wikipedia.org/wiki/Dwight_D._Eisenhower |
FQ00008244 | en.wikipedia.org | 54 | Title: Dice | https://en.wikipedia.org/wiki/Dice |
FQ00008418 | en.wikipedia.org | 55 | Title: Dartmouth College | https://en.wikipedia.org/wiki/Dartmouth_College |
FQ00009228 | en.wikipedia.org | 56 | Title: Earth | https://en.wikipedia.org/wiki/Earth |
FQ00009232 | en.wikipedia.org | 57 | Title: Eiffel Tower | https://en.wikipedia.org/wiki/Eiffel_Tower |
FQ00009239 | en.wikipedia.org | 58 | Title: Europe | https://en.wikipedia.org/wiki/Europe |
FQ00009288 | en.wikipedia.org | 59 | Title: Elvis Presley | https://en.wikipedia.org/wiki/Elvis_Presley |
FQ00009317 | en.wikipedia.org | 60 | Title: European Union | https://en.wikipedia.org/wiki/European_Union |
FQ00009366 | en.wikipedia.org | 61 | Title: Equatorial Guinea | https://en.wikipedia.org/wiki/Equatorial_Guinea |
FQ00009736 | en.wikipedia.org | 62 | Title: Empire State Building | https://en.wikipedia.org/wiki/Empire_State_Building |
FQ00009904 | en.wikipedia.org | 63 | Title: England national football team | https://en.wikipedia.org/wiki/England_national_football_team |
FQ00010258 | en.wikipedia.org | 64 | Title: Enid Blyton | https://en.wikipedia.org/wiki/Enid_Blyton |
FQ00010577 | en.wikipedia.org | 65 | Title: Finland | https://en.wikipedia.org/wiki/Finland |
FQ00010854 | en.wikipedia.org | 66 | Title: Formula One | https://en.wikipedia.org/wiki/Formula_One#Grands_Prix |
FQ00010859 | en.wikipedia.org | 67 | Title: Fields Medal | https://en.wikipedia.org/wiki/Fields_Medal |
FQ00010979 | en.wikipedia.org | 68 | Title: Franklin D. Roosevelt | https://en.wikipedia.org/wiki/Franklin_D._Roosevelt |
FQ00011169 | en.wikipedia.org | 69 | Title: Fortaleza | https://en.wikipedia.org/wiki/Fortaleza |
FQ00011228 | en.wikipedia.org | 70 | Title: Fulham F.C. | https://en.wikipedia.org/wiki/Fulham_F.C. |
FQ00011250 | en.wikipedia.org | 71 | Title: Premier League | https://en.wikipedia.org/wiki/Premier_League |
FQ00011315 | en.wikipedia.org | 72 | Title: Friends | https://en.wikipedia.org/wiki/Friends |
FQ00011370 | en.wikipedia.org | 73 | Title: FIFA World Cup | https://en.wikipedia.org/wiki/FIFA_World_Cup |
FQ00011551 | en.wikipedia.org | 74 | Title: Francis II, Holy Roman Emperor | https://en.wikipedia.org/wiki/Francis_II,_Holy_Roman_Emperor |
FQ00011867 | en.wikipedia.org | 75 | Title: Germany | https://en.wikipedia.org/wiki/Germany |
FQ00011955 | en.wikipedia.org | 76 | Title: George H. W. Bush | https://en.wikipedia.org/wiki/George_H._W._Bush |
FQ00011968 | en.wikipedia.org | 77 | Title: George Washington | https://en.wikipedia.org/wiki/George_Washington |
FQ00012102 | en.wikipedia.org | 78 | Title: General Motors | https://en.wikipedia.org/wiki/General_Motors |
FQ00012118 | en.wikipedia.org | 79 | Title: Greenland | https://en.wikipedia.org/wiki/Greenland |
FQ00012431 | en.wikipedia.org | 80 | Title: Google Search | https://en.wikipedia.org/wiki/Google_Search |
FQ00012495 | en.wikipedia.org | 81 | Title: Grover Cleveland | https://en.wikipedia.org/wiki/Grover_Cleveland |
FQ00012663 | en.wikipedia.org | 82 | Title: Green Bay Packers | https://en.wikipedia.org/wiki/Green_Bay_Packers |
FQ00013255 | en.wikipedia.org | 83 | Title: Hydrogen | https://en.wikipedia.org/wiki/Hydrogen |
FQ00013256 | en.wikipedia.org | 84 | Title: Helium | https://en.wikipedia.org/wiki/Helium |
FQ00013270 | en.wikipedia.org | 85 | Title: Hawaii | https://en.wikipedia.org/wiki/Hawaii |
FQ00013394 | en.wikipedia.org | 86 | Title: Honduras | https://en.wikipedia.org/wiki/Honduras |
FQ00013404 | en.wikipedia.org | 87 | Title: Hong Kong | https://en.wikipedia.org/wiki/Hong_Kong |
FQ00013652 | en.wikipedia.org | 88 | Title: Hindi | https://en.wikipedia.org/wiki/Hindi |
FQ00013682 | en.wikipedia.org | 89 | Title: Herbert Hoover | https://en.wikipedia.org/wiki/Herbert_Hoover |
FQ00013692 | en.wikipedia.org | 90 | Title: History of the Internet | https://en.wikipedia.org/wiki/History_of_the_Internet |
FQ00013774 | en.wikipedia.org | 91 | Title: Houston | https://en.wikipedia.org/wiki/Houston |
FQ00013864 | en.wikipedia.org | 92 | Title: Houston Texans | https://en.wikipedia.org/wiki/Houston_Texans |
FQ00013887 | en.wikipedia.org | 93 | Title: Honolulu | https://en.wikipedia.org/wiki/Honolulu |
FQ00013894 | en.wikipedia.org | 94 | Title: Houston Astros | https://en.wikipedia.org/wiki/Houston_Astros |
FQ00014532 | en.wikipedia.org | 95 | Title: Italy | https://en.wikipedia.org/wiki/Italy |
FQ00014533 | en.wikipedia.org | 96 | Title: India | https://en.wikipedia.org/wiki/India |
FQ00014579 | en.wikipedia.org | 97 | Title: Indonesia | https://en.wikipedia.org/wiki/Indonesia |
FQ00014598 | en.wikipedia.org | 98 | Title: Demographics of India | https://en.wikipedia.org/wiki/Demographics_of_India |
FQ00014644 | en.wikipedia.org | 99 | Title: Geography of Indonesia | https://en.wikipedia.org/wiki/Geography_of_Indonesia |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
AtlasNav anonymous research artifacts
This companion release is consumed by AtlasNav 0.2.x. Verify it before use:
atlasnav artifacts verify --artifact-root PATH_TO_RELEASE
atlasnav reproduce --suite paper --artifact-root PATH_TO_RELEASE --output reproduced
BrowseComp-Plus
browsecomp_plus/trajectories contains seven checksummed full-830 archives:
one adopted trajectory per query for AtlasNav, DR-DCI, and raw DCI with the
DeepSeek and ChatGPT backbones, plus the ChatGPT Gold-document Reference. The
archives are clean merged units rather than development/remainder shards. The
replay command recomputes strict accuracy—including the paper's
801/830 = 96.51% empirical-reference cell—recorded online cost, paper
consistency, paired outcome cells, passive
checkpoint endpoints, frozen checkpoint-manifest integrity, and Evidence
Blindness. Passive replay is not relabeled as counterfactual active Safe
Release accuracy.
browsecomp_plus/atlas/unified_multiplex_v1 contains the complete frozen
100,195-file Atlas: four reduced vector matrices and transforms, sparse graphs,
77-parent/443-leaf hierarchy arrays, cards, labels, catalog, and provenance.
browsecomp_plus/router/linear_v1 contains the exact deployed Router.
The original full-830 query-vector bundle is no longer available. To preserve exact online reconstruction, browsecomp_plus/frozen_ranking/full830 contains the checksummed post-Router weighted-RRF score for every query/document pair, the aligned query-ID catalog, retrieval audit, and byte-exact frozen first viewports with their navigation metadata. Together with the frozen Atlas, upstream corpus, and full-text index, this recreates the exact initial routes without an embedding API call. This is explicitly a later-stage frozen representation, not a claim that the missing raw query vectors were recovered.
candidate_tasks_v1 contains 30,000 corpus-grounded support candidates, not
the exact final 7,163 generated training examples; those rows are unavailable
and must not be represented as recovered.
The fragment-level Qrel under qrel/v2_4 covers 830 questions, 889 required
answer slots, and 1,753 acceptable spans. Benchmark-derived quotations remain
subject to final upstream redistribution review.
MiMo and Qwen are summary-only because their final consolidated trajectories are not recoverable from this server.
Frozen auxiliary construction assets
The frozen/ directories for the reported auxiliary benchmarks now contain the exact final Atlas and the full four-view query embeddings. Each Atlas includes four 192-dimensional reduced document-vector matrices, the fitted PCA transforms, four sparse graphs, hierarchy arrays, cards, labels, and the aligned catalog. Full 2,560-dimensional document matrices are deliberately omitted as a reproducible high-volume intermediate; the public pipeline can regenerate them from upstream corpora. Upstream corpora and query text are not redistributed.
Auxiliary records
Compact per-query or aggregate records are provided for PhantomWiki, FanOutQA, TREC-COVID, 2Wiki-Global-400, and fixed SciFact/ArguAna samples. EnterpriseRAG is explicitly an outcome-aware, one-rerun known-error-replacement upper-bound diagnostic. Its 500 adopted rows and official metrics are merged, but it is not a stable single-trajectory leaderboard submission.
Integrity and scope
release_manifest.json declares schema compatibility and known blockers.
MANIFEST.sha256.json binds every admitted path, byte size, and SHA-256.
Upstream corpora and question datasets are not redistributed here. No account
credentials, provider-specific host configuration, author identity, or local
machine path is part of this release.
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