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updated readme

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@@ -1,20 +1,3 @@
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- ---
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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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-
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  # Counter Strike 2 Cheat Detection Dataset
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  ## Overview
@@ -25,11 +8,16 @@ The **CS2CD (Counter-Strike 2 Cheat Detection)** dataset is an anonymised datase
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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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- > ⚠️
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- > Only files, containing at least one VAC(Valve Anti-cheat)-banned player, have been manually labelled and verified. Hence, **cheaters may be present in the data without cheaters**.
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- > When examining a subset of NUMBER data points in the set of matches with no VAC-banned players, it was discovered that in NUMBER% of players in these matches were not presenting any cheater-like behaviour.
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- > When examining a subset of NUMBER data points in the set of matches with with at least one VAC-banned players, it was discovered that in NUMBER% of players in these matches were not presenting any cheater-like behaviour[[TODO:CITE OUR PAPER]()]. This is possibly due to CS2 using [trust factor match making](https://help.steampowered.com/en/faqs/view/00EF-D679-C76A-C185).
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- > Hence, it was decided, that resources were best spent with labeling data containing at least one VAC-banned player.
 
 
 
 
 
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  ### Root folder
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@@ -53,7 +41,6 @@ The following piece of code loads a single data point in the dataset. The result
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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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@@ -61,7 +48,7 @@ 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) -&gt; list:
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  with open(filepath, "r") as f:
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  json_data = json.load(f)
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@@ -121,20 +108,20 @@ The following is the complete list of **data removed** from the dataset:
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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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@@ -149,6 +136,7 @@ Data added from scraping process:
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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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+
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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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+
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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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+
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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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