Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
name: string
title: string
description: string
version: string
created: timestamp[s]
homepage: string
keywords: list<item: string>
child 0, item: string
licenses: list<item: struct<name: string, title: string, path: string>>
child 0, item: struct<name: string, title: string, path: string>
child 0, name: string
child 1, title: string
child 2, path: string
contributors: list<item: struct<title: string, role: string, path: string>>
child 0, item: struct<title: string, role: string, path: string>
child 0, title: string
child 1, role: string
child 2, path: string
sources: list<item: struct<title: string>>
child 0, item: struct<title: string>
child 0, title: string
resources: list<item: struct<name: string, type: string, path: string, scheme: string, format: string, mediatyp (... 150 chars omitted)
child 0, item: struct<name: string, type: string, path: string, scheme: string, format: string, mediatype: string, (... 138 chars omitted)
child 0, name: string
child 1, type: string
child 2, path: string
child 3, scheme: string
child 4, format: string
child 5, mediatype: string
child 6, encoding: string
child 7, schema: struct<fields: list<item: struct<name: string, type: string>>, missingValues: list<item: string>>
child 0, fields: list<item: struct<name: string, type: string>>
child 0, item: struct<name: string, type: string>
child 0, name: str
...
: stri (... 20 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, sha256: (... 8 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, contentUrl: string
child 4, encodingFormat: string
child 5, sha256: string
citation: string
recordSet: list<item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, (... 129 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, @id: string (... 117 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, field: list<item: struct<@type: string, @id: string, name: string, dataType: string, source: struct<fileObj (... 60 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, dataType: string, source: struct<fileObject: struct (... 48 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, dataType: string
child 4, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>
child 0, fileObject: struct<@id: string>
child 0, @id: string
child 1, extract: struct<column: string>
child 0, column: string
url: string
to
{'@context': {'@vocab': Value('string'), 'cr': Value('string'), 'sc': Value('string'), 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'field': Value('string'), 'fileObject': Value('string'), 'recordSet': Value('string'), 'source': Value('string'), 'extract': Value('string'), 'column': Value('string')}, '@type': Value('string'), 'cr:conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'license': Value('string'), 'url': Value('string'), 'version': Value('string'), 'citation': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}, 'extract': {'column': Value('string')}}})})}
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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
name: string
title: string
description: string
version: string
created: timestamp[s]
homepage: string
keywords: list<item: string>
child 0, item: string
licenses: list<item: struct<name: string, title: string, path: string>>
child 0, item: struct<name: string, title: string, path: string>
child 0, name: string
child 1, title: string
child 2, path: string
contributors: list<item: struct<title: string, role: string, path: string>>
child 0, item: struct<title: string, role: string, path: string>
child 0, title: string
child 1, role: string
child 2, path: string
sources: list<item: struct<title: string>>
child 0, item: struct<title: string>
child 0, title: string
resources: list<item: struct<name: string, type: string, path: string, scheme: string, format: string, mediatyp (... 150 chars omitted)
child 0, item: struct<name: string, type: string, path: string, scheme: string, format: string, mediatype: string, (... 138 chars omitted)
child 0, name: string
child 1, type: string
child 2, path: string
child 3, scheme: string
child 4, format: string
child 5, mediatype: string
child 6, encoding: string
child 7, schema: struct<fields: list<item: struct<name: string, type: string>>, missingValues: list<item: string>>
child 0, fields: list<item: struct<name: string, type: string>>
child 0, item: struct<name: string, type: string>
child 0, name: str
...
: stri (... 20 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, sha256: (... 8 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, contentUrl: string
child 4, encodingFormat: string
child 5, sha256: string
citation: string
recordSet: list<item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, (... 129 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, @id: string (... 117 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, field: list<item: struct<@type: string, @id: string, name: string, dataType: string, source: struct<fileObj (... 60 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, dataType: string, source: struct<fileObject: struct (... 48 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, dataType: string
child 4, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>
child 0, fileObject: struct<@id: string>
child 0, @id: string
child 1, extract: struct<column: string>
child 0, column: string
url: string
to
{'@context': {'@vocab': Value('string'), 'cr': Value('string'), 'sc': Value('string'), 'dataType': {'@id': Value('string'), '@type': Value('string')}, 'field': Value('string'), 'fileObject': Value('string'), 'recordSet': Value('string'), 'source': Value('string'), 'extract': Value('string'), 'column': Value('string')}, '@type': Value('string'), 'cr:conformsTo': Value('string'), 'name': Value('string'), 'description': Value('string'), 'license': Value('string'), 'url': Value('string'), 'version': Value('string'), 'citation': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'sha256': Value('string')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'field': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}, 'extract': {'column': Value('string')}}})})}
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.
South Korea 2025, Electoral Divergence Dataset
Open, auditable cross-reference of prediction market (Polymarket) × opinion polls × press for the 3 June 2025 South Korean snap presidential election, validated against the official result. Part of the AFOS Analytics validated-cases collection.
The case
Lee Jae-myung (Democratic Party) won with 49.42% of the vote, defeating Kim Moon-soo (People Power Party, 41.15%) and Lee Jun-seok (Reform Party, about 8.3%). The snap election followed Yoon Suk-yeol's martial-law crisis and his removal by the Constitutional Court.
The signal was strong and early: from early April the market already gave Lee about 80% probability of winning, rising to about 95% at the close, while polls measured his vote share around 46-49%. The market treated the race as decided, and it even nailed the victory margin (the "8-11pp" band; the actual margin was 8.27pp). With about US$290M in total volume, it was one of the largest election markets AFOS has tracked outside the US.
The market measures probability of winning; the poll measures vote share. That gap, candidate by candidate, is the AFOS signal, not a polling error.
Note: Korean law bars Koreans from betting on Polymarket, so the market volume is mostly international.
Files
data/south-korea-2025-market-odds-timeseries.csv, daily Polymarket win-probability per candidate (59 days, 2025-04-06 to 2025-06-03).data/south-korea-2025-divergence.csv, market % vs poll % per candidate at the closing snapshot (2025-06-02).data/south-korea-2025-structural-context.csv, World Bank governance (WGI) + macro/education (WDI).data/south-korea-2025-poly-raw.json, raw Polymarket source (events + price history), fetched via the AFOS server-side proxy.polls/south-korea-2025-polls.csv, full vote-intention series for the finalized race (82 polls, 36 pollsters, 12 May-3 June 2025), long format (one row per poll/candidate), parsed deterministically from the Wikipedia aggregation.polls/south-korea-2025-polls.json, the same polls as structured JSON (per-poll, per-candidate).news/south-korea-2025-press-coverage.csv, dated headlines from 5 Korean national outlets (Yonhap, Korea Herald, Korea Times, Korea JoongAng Daily, The Hankyoreh).
Sources
Polymarket (live odds via AFOS proxy), Korea opinion polls (36 pollsters, incl. Gallup Korea, KOPRA, Hangil, Jowon C&I, Media Tomato, Embrain, Metavoice) via the public Wikipedia aggregation, National Election Commission (official result), Korean national press. Market snapshot total volume: US$290.7M.
Provenance & method: poll figures compiled deterministically (rowspan/colspan-aware HTML parser) from the public Wikipedia aggregation "Opinion polling for the 2025 South Korean presidential election" (CC BY-SA), covering the finalized three-way race (Lee Jae-myung × Kim Moon-soo × Lee Jun-seok, plus minor candidates) from 12 May to 3 June 2025; hypothetical pre-nomination matchups and the official vote count are excluded. Nothing is imputed or smoothed; missing values left blank. The divergence snapshot compares the closing market (2025-06-02) against the final-wave vote-intention consensus (mean of the 25-27 May polls: Lee 47.1, Kim 38.2, Lee Jun-seok 9.8). Market odds come from the public Polymarket market. Underlying numbers are facts released by the named pollsters; please attribute AFOS Analytics and the original pollsters.
License: data CC BY 4.0; code Apache 2.0. afos-analytics.com
Provenance and reproducibility (v1.2.0)
- raw/ vs. derived.
raw/holds immutable source pulls: the Polymarket snapshot(s) (*-poly-raw.json) and the official result (south-korea-2025-official-result.json). The CSVs underdata/,polls/andnews/are derived/transcribed series. - Validated against the official result. Winner: Lee Jae-myung (Democratic Party). Source: National Election Commission (NEC), Republic of Korea. See
raw/south-korea-2025-official-result.json. - Poll disclosure. The poll series carries per-row pollster, fieldwork date and sample size. Each poll row now carries a page-level
source_url(the Wikipedia opinion-polling page it was compiled from: https://en.wikipedia.org/wiki/Opinion_polling_for_the_2025_South_Korean_presidential_election); per-pollster report URLs remain a future enhancement (the source aggregation footnotes were not retained per row). - Integrity.
datapackage.json(Frictionless, validated),croissant.json(MLCommons) andCHECKSUMS.txt(SHA-256) describe and verify every file.
📬 The method, and where it runs live
English · This is one of the elections AFOS has validated against the official result. How the validation works and what qualifies as a case: the method and methodology. The same method runs live on Brazil 2026, published every day in AFOS Daily, free by email.
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