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Datasets:
ArnieRamesh
/
CounterStrike-1K-sample

Tasks:
Video Classification
Reinforcement Learning
Video-to-Video
Modalities:
Tabular
Text
Video
Formats:
parquet
Size:
< 1K
Tags:
counter-strike-2
world-model
video-prediction
action-conditioned-video
multi-view
sample
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
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ArnieRamesh commited on
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Upload CounterStrike-1K sample package

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  1. README.md +57 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ pretty_name: CounterStrike-1K Sample
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+ tags:
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+ - counter-strike-2
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+ - webdataset
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+ - video
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+ - sample
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+ ---
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+
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+ # CounterStrike-1K Sample
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+
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+ This is a small unsharded reviewer/developer sample for CounterStrike-1K. It
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+ uses the same v12 per-sample schema as the full release, but stores ordinary
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+ files instead of WebDataset tar shards.
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+
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+ ## Contents
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+
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+ - Resolution: `360p`
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+ - Match-map demos: 1
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+ - Map(s): dust2
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+ - Rounds: 16
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+ - Samples: 160
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+ - Rendered POV-hours: 2.630
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+
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+ Each sample has:
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+
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+ ```text
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+ videos/360p/{sample_key}.mp4
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+ actions/{sample_key}.actions.bin
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+ state/{sample_key}.state.bin
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+ events/{sample_key}.events.json
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+ metadata/{sample_key}.json
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+ ```
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+
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+ The package also includes `manifest.parquet`, `round_index.parquet`,
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+ `match_index.parquet`, `subsets/sample.parquet`, and the public schema files.
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+
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+ ## Loading
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+
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+ ```python
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+ from pathlib import Path
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+ from huggingface_hub import snapshot_download
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+ from counterstrike1k import CounterStrike1K
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+
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+ root = Path(snapshot_download(
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+ repo_id="ArnieRamesh/CounterStrike-1K-sample",
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+ repo_type="dataset",
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+ ))
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+ ds = CounterStrike1K(root, subset="sample", resolution="360p")
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+ sample = next(iter(ds))
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+ print(sample["metadata"]["sample_key"])
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+ print(sample["actions"].shape, sample["state"].shape, sample["player_alive"].mean())
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+ ```
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+
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+ No raw demos, Steam IDs, account identifiers, raw HLTV identifiers, player
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+ names, or chat text are included.
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