The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
generated_at: string
edge_window_start: timestamp[s]
eligible_recent_nodes: int64
recent_authors: int64
effective_authors: int64
ignored_broad_authors: int64
candidate_edges: int64
edges_after_shared_threshold: int64
mutual_edges: int64
connected_components: int64
largest_component: int64
min_shared_authors: int64
max_author_topics: int64
top_neighbors: int64
communities: int64
largest_community: int64
community_iterations: int64
total_clusters: int64
model: string
regions: list<item: string>
child 0, item: string
assignments: list<item: struct<community_id: int64, region: string, confidence: double, reason: string>>
child 0, item: struct<community_id: int64, region: string, confidence: double, reason: string>
child 0, community_id: int64
child 1, region: string
child 2, confidence: double
child 3, reason: string
to
{'generated_at': Value('string'), 'model': Value('string'), 'regions': List(Value('string')), 'assignments': List({'community_id': Value('int64'), 'region': Value('string'), 'confidence': Value('float64'), 'reason': Value('string')}), 'total_clusters': Value('int64')}
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
generated_at: string
edge_window_start: timestamp[s]
eligible_recent_nodes: int64
recent_authors: int64
effective_authors: int64
ignored_broad_authors: int64
candidate_edges: int64
edges_after_shared_threshold: int64
mutual_edges: int64
connected_components: int64
largest_component: int64
min_shared_authors: int64
max_author_topics: int64
top_neighbors: int64
communities: int64
largest_community: int64
community_iterations: int64
total_clusters: int64
model: string
regions: list<item: string>
child 0, item: string
assignments: list<item: struct<community_id: int64, region: string, confidence: double, reason: string>>
child 0, item: struct<community_id: int64, region: string, confidence: double, reason: string>
child 0, community_id: int64
child 1, region: string
child 2, confidence: double
child 3, reason: string
to
{'generated_at': Value('string'), 'model': Value('string'), 'regions': List(Value('string')), 'assignments': List({'community_id': Value('int64'), 'region': Value('string'), 'confidence': Value('float64'), 'reason': Value('string')}), 'total_clusters': Value('int64')}
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.
gok Eksi Atlas
Versioned snapshots of durable Ekşi Sözlük topics, represented as a graph through shared writer participation. The dataset is intended for visualising and analysing the released maps. It is not sufficient to construct a new or refreshed participation graph.
See: https://github.com/humanova/gok
Contents
Each snapshot directory is immutable and includes:
graph/nodes.csv: topic metadata and graph metrics.graph/edges.csv: retained, mutually strong shared-participation relationships.graph/clusters.csv: community membership.community-regions/semantic-regions.json: community region labels.node-regions/node-regions.json: audited topic region labels.layout/layout.csv: display coordinates for rendering the snapshot.manifest.jsonandSHA256SUMS: file inventory and integrity checks.
The directories are named <map-kind>-<snapshot-id>. current contains topics active in the current-map window; long-term uses the longer activity window configured for that snapshot.
What You Can Reproduce
The published node, edge, label, and coordinate data are enough to render this exact map in another application, inspect its communities, or run graph analysis on the released snapshot. Coordinates may be regenerated from the graph if a different visual layout is wanted.
They cannot create a genuinely new map from this release. Constructing a new or refreshed map requires the withheld author-to-topic participation data and a new collection run against the source platform.
Method
Topics must show durable, recurring activity before inclusion. Two topics are linked only when enough of the same writers participate in both and the relationship is among each topic's strongest links. Communities are derived from those retained links; reader-facing labels are added afterward.
A link represents participation overlap, not factual, political, or semantic similarity. See the full methodology in the gok source repository's docs/map-curation.md.
Privacy And Source Scope
This release contains derived topic-level and graph-level data only. It excludes entry text, author identifiers, author-to-topic participation records, and the profile artifacts from which new maps can be built. Topic titles and their URLs point to publicly visible Ekşi Sözlük discussions.
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