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
demo_key: uint32 not null
item_instance: string not null
item_id: string not null
region_id: int16
x: float not null
y: float not null
z: float not null
event: string not null
t: int32 not null
taken_by_slot: uint8
next_spawn_t: int32
schema_version: uint16 not null
parser_version: string not null
parsed_at: string not null
to
{'demo_key': Value('uint32'), 't': Value('int32'), 'killer_slot': Value('uint8'), 'victim_slot': Value('uint8'), 'weapon_id': Value('string'), 'killer_x': Value('float32'), 'killer_y': Value('float32'), 'killer_z': Value('float32'), 'victim_x': Value('float32'), 'victim_y': Value('float32'), 'victim_z': Value('float32'), 'killer_region_id': Value('int16'), 'victim_region_id': Value('int16'), 'is_teamkill': Value('bool'), 'is_suicide': Value('bool'), 'killer_powerup': Value('string'), 'schema_version': Value('uint16'), 'parser_version': Value('string'), 'parsed_at': 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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
demo_key: uint32 not null
item_instance: string not null
item_id: string not null
region_id: int16
x: float not null
y: float not null
z: float not null
event: string not null
t: int32 not null
taken_by_slot: uint8
next_spawn_t: int32
schema_version: uint16 not null
parser_version: string not null
parsed_at: string not null
to
{'demo_key': Value('uint32'), 't': Value('int32'), 'killer_slot': Value('uint8'), 'victim_slot': Value('uint8'), 'weapon_id': Value('string'), 'killer_x': Value('float32'), 'killer_y': Value('float32'), 'killer_z': Value('float32'), 'victim_x': Value('float32'), 'victim_y': Value('float32'), 'victim_z': Value('float32'), 'killer_region_id': Value('int16'), 'victim_region_id': Value('int16'), 'is_teamkill': Value('bool'), 'is_suicide': Value('bool'), 'killer_powerup': Value('string'), 'schema_version': Value('uint16'), 'parser_version': Value('string'), 'parsed_at': 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.
QuakeWorld Demo-Mined Corpus
Status: PRIVATE / work-in-progress. First import is the QWD movement-mining bundle; MVD-derived data and the queryable Parquet marts follow.
The queryable store for parsed QuakeWorld demo data, built for other QW developers and for possible ML use. The producers (the miners) are strictly deterministic and ML-free; ML is a downstream consumer concern only.
Layout
qwd/movement-bundle-2026-07-15/— frozen extraction output from the 8,240-demo QWD movement corpus: the v1qwd_dump --rawmovement cache (7,945 per-demo CSVs), the strict-v2 per-demo JSON documents (8,240; 4,868 accepted / 3,372 rejected byte-exact), aggregate manifests, framing census, a preliminary map-census, andMANIFEST.sha256(SHA-256 for every file, for integrity verification). See that folder's ownREADME.md.
Provenance & schema
- Logical schema:
Xerialen/qw-demo-miner→schema/SCHEMA.md— a 3-layer model (Map / Evidence / Calibration) with a hard no-imitation boundary: human trajectories are evidence/calibration only, never controller waypoints. - Physical: Parquet + DuckDB (host-agnostic). The Parquet marts are a later transform of this raw layer, not part of this first import.
- QWD self-POV demos carry authoritative wire velocity + usercmds; strict-v2 accounts for every byte or rejects.
License
TBD — owner to decide. Public-vs-private and license are open decisions; do not redistribute until set.
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