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The dataset generation failed
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 dataset

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.

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
End of preview.

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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