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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
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 match

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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

gok atlas preview

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.json and SHA256SUMS: 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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