updated readme
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README.md
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license: cc-by-4.0
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language:
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- en
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tags:
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- Game
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- Counter-Strike
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- CS2
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- Counter-Strike 2
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- Video Game
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- Cheat Detection
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- Gameplay
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pretty_name: Counter-Strike 2 Cheat Detection
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size_categories:
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- n<1K
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---
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# Counter Strike 2 Cheat Detection Dataset
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## Overview
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The dataset is partitioned into data with at least one cheater present, and data with no cheaters present.
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### Root folder
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```python
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import pandas as pd
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import json
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import os
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filepath = "Data/no_cheater_present/0"
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match_0_ticks = pd.read_csv(filepath_or_buffer=filepath+".csv.gz", compression="gzip")
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# Loading json event data a list of tuples (str, pd.Dataframe)
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def json_2_eventlist(filepath:str)
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with open(filepath, "r") as f:
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json_data = json.load(f)
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- `networkid`
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- `PlayerID`
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- `address`
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The following data is the complete list of **altered data** in the dataset:
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- `name`
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- `user_name`
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- `names`
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- `steamid`
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- `user_steamid`
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- `attacker_name`
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- `attacker_steamid`
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- `victim_name`
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- `victim_steamid`
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- `active_weapon_original_owner`
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- `assister_name`
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- `assister_steamid`
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- `approximate_spotted_by`
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- The dataset is formated in UTF-8 encoding.
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- Researchers should **cite this dataset appropriately** in publications
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## Applications
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# Counter Strike 2 Cheat Detection Dataset
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## Overview
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The dataset is partitioned into data with at least one cheater present, and data with no cheaters present.
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<div style="border:1px solid #ccc; padding: 10px; border-radius: 5px; background-color: #fff3cd; color: #000;">
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<p><strong style="color: #000">⚠️ Warning: </strong>Data containing no cheaters has not been verified</p>
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<p>Only files, containing at least one VAC(Valve Anti-cheat)-banned player, have been manually labelled and verified. Hence, <strong style="color: #000">cheaters may be present in the data without cheaters</strong>.</p>
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<p>When examining a subset containing 50 data points (demos) with no VAC-banned players, it was discovered that in 97.2% of players in these matches were not presenting any cheater-like behaviour. When examining a subset of 50 data points (demos) in the set of matches with with at least one VAC-banned player, it was discovered that the label precission of the "not cheater" label was 55.6%. This is possibly due to CS2 using <a href="https://help.steampowered.com/en/faqs/view/00EF-D679-C76A-C185" target="_blank" style="color: #007bff; text-decoration: underline;">trust factor match making</a>.</p>
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<p>Hence, it was decided, that resources were best spent with labeling data containing at least one VAC-banned player.</p>
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<p>For more information regarding the data collection see <a href="https://help.steampowered.com/en/faqs/view/00EF-D679-C76A-C185" target="_blank" style="color: #007bff; text-decoration: underline;">Counter-Strike 2 Game data collection with cheat labelling</a> by Mille Mei Zhen Loo & Gert Lužkov.</p>
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</div>
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### Root folder
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```python
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import pandas as pd
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import json
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filepath = "Data/no_cheater_present/0"
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match_0_ticks = pd.read_csv(filepath_or_buffer=filepath+".csv.gz", compression="gzip")
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# Loading json event data a list of tuples (str, pd.Dataframe)
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def json_2_eventlist(filepath:str) -> list[tuple[str, pd.DataFrame]]:
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with open(filepath, "r") as f:
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json_data = json.load(f)
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- `networkid`
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- `PlayerID`
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- `address`
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- `name`
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- `user_name`
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- `victim_name`
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- `attacker_name`
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- `assister_name`
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- `chat_message`
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The following data is the complete list of **altered data** in the dataset:
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- `steamid`
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- `user_steamid`
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- `attacker_steamid`
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- `victim_steamid`
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- `active_weapon_original_owner`
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- `assister_steamid`
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- `approximate_spotted_by`
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- The dataset is formated in UTF-8 encoding.
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- Researchers should **cite this dataset appropriately** in publications
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- In the case that all players from a single team quits the match, a single bot is spawned to fill the empty team. This may result in kills where no steamid is present. This is due to the bot not having a steamid.
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## Applications
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