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
version: string
gitCommit: string
domain: string
subdomain: string
info: struct<gameID: string, config: struct<gameMap: string, difficulty: string, donateGold: bool, donateT (... 1341 chars omitted)
child 0, gameID: string
child 1, config: struct<gameMap: string, difficulty: string, donateGold: bool, donateTroops: bool, gameType: string, (... 285 chars omitted)
child 0, gameMap: string
child 1, difficulty: string
child 2, donateGold: bool
child 3, donateTroops: bool
child 4, gameType: string
child 5, gameMode: string
child 6, gameMapSize: string
child 7, publicGameModifiers: struct<>
child 8, nations: string
child 9, bots: int64
child 10, infiniteGold: bool
child 11, infiniteTroops: bool
child 12, instantBuild: bool
child 13, randomSpawn: bool
child 14, maxPlayers: int64
child 15, spawnImmunityDuration: int64
child 16, disabledUnits: list<item: null>
child 0, item: null
child 17, disableClanTags: bool
child 2, players: list<item: struct<stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: str (... 761 chars omitted)
child 0, item: struct<stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: struct<victim: (... 749 chars omitted)
child 0, stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: struct<victim: string, tick: (... 494 chars omitted)
child
...
g
child 11, emoji: int64
child 12, gold: int64
child 13, unitID: int64
child 14, quickChatKey: string
child 15, target: string
child 16, unitId: int64
child 17, unitIds: list<item: int64>
child 0, item: int64
child 18, action: string
child 19, rocketDirectionUp: bool
child 2, hash: int64
parityCommit: string
oracleFingerprint: string
schemaVersion: int64
recordSetHash: string
outcomes: list<item: struct<schemaVersion: int64, gameId: string, winner: string, terminalTick: int64, termina (... 199 chars omitted)
child 0, item: struct<schemaVersion: int64, gameId: string, winner: string, terminalTick: int64, terminalReason: st (... 187 chars omitted)
child 0, schemaVersion: int64
child 1, gameId: string
child 2, winner: string
child 3, terminalTick: int64
child 4, terminalReason: string
child 5, winnerLandShare: double
child 6, finalTick: int64
child 7, landTilesWithoutFallout: int64
child 8, finalRanking: list<item: struct<identity: string, name: string, team: string, tiles: int64, alive: bool>>
child 0, item: struct<identity: string, name: string, team: string, tiles: int64, alive: bool>
child 0, identity: string
child 1, name: string
child 2, team: string
child 3, tiles: int64
child 4, alive: bool
to
{'schemaVersion': Value('int64'), 'parityCommit': Value('string'), 'recordSetHash': Value('string'), 'oracleFingerprint': Value('string'), 'outcomes': List({'schemaVersion': Value('int64'), 'gameId': Value('string'), 'winner': Value('string'), 'terminalTick': Value('int64'), 'terminalReason': Value('string'), 'winnerLandShare': Value('float64'), 'finalTick': Value('int64'), 'landTilesWithoutFallout': Value('int64'), 'finalRanking': List({'identity': Value('string'), 'name': Value('string'), 'team': Value('string'), 'tiles': Value('int64'), 'alive': Value('bool')})})}
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 478, 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
version: string
gitCommit: string
domain: string
subdomain: string
info: struct<gameID: string, config: struct<gameMap: string, difficulty: string, donateGold: bool, donateT (... 1341 chars omitted)
child 0, gameID: string
child 1, config: struct<gameMap: string, difficulty: string, donateGold: bool, donateTroops: bool, gameType: string, (... 285 chars omitted)
child 0, gameMap: string
child 1, difficulty: string
child 2, donateGold: bool
child 3, donateTroops: bool
child 4, gameType: string
child 5, gameMode: string
child 6, gameMapSize: string
child 7, publicGameModifiers: struct<>
child 8, nations: string
child 9, bots: int64
child 10, infiniteGold: bool
child 11, infiniteTroops: bool
child 12, instantBuild: bool
child 13, randomSpawn: bool
child 14, maxPlayers: int64
child 15, spawnImmunityDuration: int64
child 16, disabledUnits: list<item: null>
child 0, item: null
child 17, disableClanTags: bool
child 2, players: list<item: struct<stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: str (... 761 chars omitted)
child 0, item: struct<stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: struct<victim: (... 749 chars omitted)
child 0, stats: struct<attacks: list<item: string>, killedAt: string, kills: list<item: struct<victim: string, tick: (... 494 chars omitted)
child
...
g
child 11, emoji: int64
child 12, gold: int64
child 13, unitID: int64
child 14, quickChatKey: string
child 15, target: string
child 16, unitId: int64
child 17, unitIds: list<item: int64>
child 0, item: int64
child 18, action: string
child 19, rocketDirectionUp: bool
child 2, hash: int64
parityCommit: string
oracleFingerprint: string
schemaVersion: int64
recordSetHash: string
outcomes: list<item: struct<schemaVersion: int64, gameId: string, winner: string, terminalTick: int64, termina (... 199 chars omitted)
child 0, item: struct<schemaVersion: int64, gameId: string, winner: string, terminalTick: int64, terminalReason: st (... 187 chars omitted)
child 0, schemaVersion: int64
child 1, gameId: string
child 2, winner: string
child 3, terminalTick: int64
child 4, terminalReason: string
child 5, winnerLandShare: double
child 6, finalTick: int64
child 7, landTilesWithoutFallout: int64
child 8, finalRanking: list<item: struct<identity: string, name: string, team: string, tiles: int64, alive: bool>>
child 0, item: struct<identity: string, name: string, team: string, tiles: int64, alive: bool>
child 0, identity: string
child 1, name: string
child 2, team: string
child 3, tiles: int64
child 4, alive: bool
to
{'schemaVersion': Value('int64'), 'parityCommit': Value('string'), 'recordSetHash': Value('string'), 'oracleFingerprint': Value('string'), 'outcomes': List({'schemaVersion': Value('int64'), 'gameId': Value('string'), 'winner': Value('string'), 'terminalTick': Value('int64'), 'terminalReason': Value('string'), 'winnerLandShare': Value('float64'), 'finalTick': Value('int64'), 'landTilesWithoutFallout': Value('int64'), 'finalRanking': List({'identity': Value('string'), 'name': Value('string'), 'team': Value('string'), 'tiles': Value('int64'), 'alive': Value('bool')})})}
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.
OpenFront.io archived human games
285 real public multiplayer games of OpenFront.io (10-116 humans per lobby, all maps, FFA + team modes), pulled from the game's public archive API and replayed through the deterministic engine (openfrontio/OpenFrontIO) to regenerate full state trajectories. ~420k snapshots at 10-tick (1s) cadence.
Every game passed the engine's embedded state-hash verification during replay (games that desynced were discarded), so snapshots are bit-exact reconstructions of what the players actually saw. Player identities are stripped by the API; usernames remain.
Generated by and documented at github.com/djmango/openfront-ai.
Contents
maps/<map>.tar— replayed snapshots, one game directory per game, same format v3 as openfront-snapshots:terrain.bin,states/t<tick>.bin.gz(tile ownership grid),states/t<tick>.json.gz(players, diplomacy, units, attacks),meta.json(+gitCommit,hashesChecked,numHumans).records/<gitCommit>/<gameID>.json.gz— the raw archived game records: full per-turn human intent logs (every attack, boat, build, nuke, alliance, betrayal, donation, emote). Replay them withdatagen/replay.tsfrom the repo (engine checked out at the matching commit), or use them directly for behavior cloning.
Why
Bot self-play data (openfront-snapshots) covers the state space thinly: built-in nations rarely ally, betray, nuke, or invade by sea. Human games supply realistic territory shapes and the full diplomatic/military action distribution — both better observation coverage for encoders and (state, human action) pairs for imitation pretraining.
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