Dataset Viewer
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
demo_stem: string
demo_file: string
map_name: string
map_short: string
tickrate: int64
interval_s: double
interval_ticks: int64
total_rounds: int64
total_captures: int64
captures: list<item: struct<tick: int64, round_num: int64, player_name: string, player_side: string, reason: string, screenshot_id: string>>
vs
game_state: struct<map_name: string, round_num: int64, round_phase: string, player_name: string, player_side: string, player_health: int64, player_armor: int64, player_has_helmet: bool, player_money: int64, weapon_primary: null, weapon_secondary: string, utility: list<item: string>, has_defuser: bool, alive_teammates: int64, alive_enemies: int64, bomb_status: string, score_t: int64, score_ct: int64>
teammates: list<item: struct<name: string, alive: bool, health: int64>>
metadata: struct<demo_file: string, tick: int64, round_num: int64, screenshot_id: string, pov_player: string, pov_side: string, capture_reason: string>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              demo_stem: string
              demo_file: string
              map_name: string
              map_short: string
              tickrate: int64
              interval_s: double
              interval_ticks: int64
              total_rounds: int64
              total_captures: int64
              captures: list<item: struct<tick: int64, round_num: int64, player_name: string, player_side: string, reason: string, screenshot_id: string>>
              vs
              game_state: struct<map_name: string, round_num: int64, round_phase: string, player_name: string, player_side: string, player_health: int64, player_armor: int64, player_has_helmet: bool, player_money: int64, weapon_primary: null, weapon_secondary: string, utility: list<item: string>, has_defuser: bool, alive_teammates: int64, alive_enemies: int64, bomb_status: string, score_t: int64, score_ct: int64>
              teammates: list<item: struct<name: string, alive: bool, health: int64>>
              metadata: struct<demo_file: string, tick: int64, round_num: int64, screenshot_id: string, pov_player: string, pov_side: string, capture_reason: string>

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Chimera CS2 Dataset

Labeled Counter-Strike 2 screenshots for vision-language model training.

Each sample has:

  • A CS2 gameplay screenshot
  • Ground truth JSON with game_state, analysis, and advice

Structure

screenshots/    # PNG/JPG images
labels/         # Matching JSON files (same stem name)
manifest.jsonl  # Data provenance tracking

Usage

from datasets import load_dataset
ds = load_dataset("skkwowee/chimera-cs2")

Stats

  • Labels: 1504
  • Screenshots: 0

Paper

See, Then Think: Two-Phase VLM Training for Game Understanding

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