Hugging Face's logo

Datasets:
cbctr
/
cs2-pov-hltv-artifacts

Tags:
counter-strike
pov
world-model
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
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
sample_ids: list<item: string>
  child 0, item: string
segments: list<item: string>
  child 0, item: string
per_demo: struct<phantom-academy-vs-dh-premium-m1-ancient-93300ee3: struct<dup_segments: int64, excluded_rows: (... 382 chars omitted)
  child 0, phantom-academy-vs-dh-premium-m1-ancient-93300ee3: struct<dup_segments: int64, excluded_rows: int64>
      child 0, dup_segments: int64
      child 1, excluded_rows: int64
  child 1, phantom-academy-vs-dh-premium-m2-mirage-e9ab1e59: struct<dup_segments: int64, excluded_rows: int64>
      child 0, dup_segments: int64
      child 1, excluded_rows: int64
  child 2, dh-premium-vs-mxm-inferno-962f465c: struct<dup_segments: int64, excluded_rows: int64>
      child 0, dup_segments: int64
      child 1, excluded_rows: int64
  child 3, phantom-academy-vs-bullpeek-mirage-4c8e6423: struct<dup_segments: int64, excluded_rows: int64>
      child 0, dup_segments: int64
      child 1, excluded_rows: int64
  child 4, entropy-vs-mai-tai-m2-mirage-d16eb1c6: struct<dup_segments: int64, excluded_rows: int64>
      child 0, dup_segments: int64
      child 1, excluded_rows: int64
inferno: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
  child 0, map_id: int64
  child 1, centroids: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, names: list<item: string>
      child 0, item: string
  child 3, roles: list<item:
...
child 4, site_centroids: struct<436: list<item: double>, 931: list<item: double>>
      child 0, 436: list<item: double>
          child 0, item: double
      child 1, 931: list<item: double>
          child 0, item: double
overpass: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
  child 0, map_id: int64
  child 1, centroids: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, names: list<item: string>
      child 0, item: string
  child 3, roles: list<item: string>
      child 0, item: string
  child 4, site_centroids: struct<392: list<item: double>, 453: list<item: double>>
      child 0, 392: list<item: double>
          child 0, item: double
      child 1, 453: list<item: double>
          child 0, item: double
dust2: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
  child 0, map_id: int64
  child 1, centroids: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, names: list<item: string>
      child 0, item: string
  child 3, roles: list<item: string>
      child 0, item: string
  child 4, site_centroids: struct<392: list<item: double>, 393: list<item: double>>
      child 0, 392: list<item: double>
          child 0, item: double
      child 1, 393: list<item: double>
          child 0, item: double
to
{'nuke': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'120': List(Value('float64')), '467': List(Value('float64'))}}, 'ancient': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'492': List(Value('float64')), '843': List(Value('float64'))}}, 'mirage': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'545': List(Value('float64')), '546': List(Value('float64'))}}, 'anubis': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'175': List(Value('float64')), '314': List(Value('float64'))}}, 'inferno': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'264': List(Value('float64')), '355': List(Value('float64'))}}, '9': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'436': List(Value('float64')), '931': List(Value('float64'))}}, 'dust2': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'392': List(Value('float64')), '393': List(Value('float64'))}}, 'overpass': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'392': List(Value('float64')), '453': List(Value('float64'))}}}
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
              sample_ids: list<item: string>
                child 0, item: string
              segments: list<item: string>
                child 0, item: string
              per_demo: struct<phantom-academy-vs-dh-premium-m1-ancient-93300ee3: struct<dup_segments: int64, excluded_rows: (... 382 chars omitted)
                child 0, phantom-academy-vs-dh-premium-m1-ancient-93300ee3: struct<dup_segments: int64, excluded_rows: int64>
                    child 0, dup_segments: int64
                    child 1, excluded_rows: int64
                child 1, phantom-academy-vs-dh-premium-m2-mirage-e9ab1e59: struct<dup_segments: int64, excluded_rows: int64>
                    child 0, dup_segments: int64
                    child 1, excluded_rows: int64
                child 2, dh-premium-vs-mxm-inferno-962f465c: struct<dup_segments: int64, excluded_rows: int64>
                    child 0, dup_segments: int64
                    child 1, excluded_rows: int64
                child 3, phantom-academy-vs-bullpeek-mirage-4c8e6423: struct<dup_segments: int64, excluded_rows: int64>
                    child 0, dup_segments: int64
                    child 1, excluded_rows: int64
                child 4, entropy-vs-mai-tai-m2-mirage-d16eb1c6: struct<dup_segments: int64, excluded_rows: int64>
                    child 0, dup_segments: int64
                    child 1, excluded_rows: int64
              inferno: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
                child 0, map_id: int64
                child 1, centroids: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, names: list<item: string>
                    child 0, item: string
                child 3, roles: list<item:
              ...
              child 4, site_centroids: struct<436: list<item: double>, 931: list<item: double>>
                    child 0, 436: list<item: double>
                        child 0, item: double
                    child 1, 931: list<item: double>
                        child 0, item: double
              overpass: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
                child 0, map_id: int64
                child 1, centroids: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, names: list<item: string>
                    child 0, item: string
                child 3, roles: list<item: string>
                    child 0, item: string
                child 4, site_centroids: struct<392: list<item: double>, 453: list<item: double>>
                    child 0, 392: list<item: double>
                        child 0, item: double
                    child 1, 453: list<item: double>
                        child 0, item: double
              dust2: struct<map_id: int64, centroids: list<item: list<item: double>>, names: list<item: string>, roles: l (... 92 chars omitted)
                child 0, map_id: int64
                child 1, centroids: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, names: list<item: string>
                    child 0, item: string
                child 3, roles: list<item: string>
                    child 0, item: string
                child 4, site_centroids: struct<392: list<item: double>, 393: list<item: double>>
                    child 0, 392: list<item: double>
                        child 0, item: double
                    child 1, 393: list<item: double>
                        child 0, item: double
              to
              {'nuke': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'120': List(Value('float64')), '467': List(Value('float64'))}}, 'ancient': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'492': List(Value('float64')), '843': List(Value('float64'))}}, 'mirage': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'545': List(Value('float64')), '546': List(Value('float64'))}}, 'anubis': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'175': List(Value('float64')), '314': List(Value('float64'))}}, 'inferno': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'264': List(Value('float64')), '355': List(Value('float64'))}}, '9': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'436': List(Value('float64')), '931': List(Value('float64'))}}, 'dust2': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'392': List(Value('float64')), '393': List(Value('float64'))}}, 'overpass': {'map_id': Value('int64'), 'centroids': List(List(Value('float64'))), 'names': List(Value('string')), 'roles': List(Value('string')), 'site_centroids': {'392': List(Value('float64')), '453': List(Value('float64'))}}}
              because column names don't match

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.

CS2 single-POV HLTV artifacts (heads, latents, labels)

The irreplaceable ~183 MB extracted from a 163 GB local render workspace, so the bulk could be deleted. Companion to cs2-hwm-scale300 and cs2-10k-vjepa2-latents-300.

These come from rendered GOTV POV of 19 pro matches. Unlike CS2-10k, these renders contain HUD and radar pixels, which is what makes the HUD digit reader and the economy/value heads possible at all - CS2-10k cannot support that line of work.

Contents

path what
planner_bundle/*.pt 10 trained heads: HUD digit + token readers, value, option value, destination, enemy belief (audio-only / video-only / video+audio), utility threat
pov_vjepa_cache/ frozen V-JEPA2 POV latents + repair_causal_vjepa_ckpt.pt
pov_observations.parquet per-window observation labels and round-win targets
pov_multimodal_manifest.parquet window -> video segment/frame mapping
option_value_cache.parquet the train/holdout split the caches were built against
pov_economy_labels.parquet, destination_labels.parquet economy + destination labels
pov_hud_digit_tokens.parquet, pov_hud_tokens.parquet HUD reader outputs
destination_zones.json 8-zone map partition (centroids, names, roles)
*_report.json measured results for each head

What is NOT here

The 143 GB of rendered POV mp4 segments, the HUD crop/digit image caches, and the source .dem files. Those are regenerable from HLTV demos via the CSDM render pipeline (~52 h), assuming the demos are still hosted.
Downloads last month
153
Total file size:
192 MB