The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
OpenFront.io game-state snapshots
250 bot/nation-only games of OpenFront.io (25 games on each of 10 maps), played headless on the real deterministic game engine (openfrontio/OpenFrontIO) and snapshotted every 10 ticks / 1s of game time (~375k snapshots total).
Generated by and documented at github.com/djmango/openfront-ai — see the repo for loaders, training code, and results.
Format v3: every snapshot captures the complete game state — the tile grid plus all entities (players, diplomacy, units, attacks in flight) — so a single snapshot is enough to reconstruct everything an agent could observe. The 10-tick cadence means a typical nuke flight (20-60 ticks) spans 2-6 snapshots, and units in transit carry their destination.
One tar per map. Each game directory contains:
terrain.bin— uint8[w*h] immutable terrain (bit 7 land, bit 6 shoreline, bit 5 ocean, bits 0-4 magnitude; magnitude 31 = impassable)states/t<tick>.bin.gz— gzipped little-endian uint16[w*h] mutable tile state: owner smallID in bits 0-11 (0 = unowned), fallout bit 13, defense bonus bit 14states/t<tick>.json.gz— gzipped JSON with full entity state:players: id (smallID), name, type, troops, gold, tiles, alive, traitor, disconnected, targets, embargoes, pending alliance requests (in/out), sparse relation listalliances:[playerA, playerB, expiresAtTick]for each active allianceunits: type (city, port, warship, transport, silo, SAM, nukes in flight, ...), owner, x, y, target tile tx/ty (null if idle — for nukes this is the impact point), samLock (a SAM is intercepting), level, health, constructing, cooldown, troopsattacks: from, to (0 = terra nullius), troops, retreating, srcX/srcY (boat-landing origin, null for land attacks)
meta.json— format version, map, dims, snapshot tick list, winner
A game evolving (each color a player, Onion map, ticks 3175 and 12375):
Generated by djmango/openfront-ai for training observation encoders for RL agents.
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