Datasets:
license: cc-by-4.0
size_categories:
- 100K<n<1M
tags:
- Game
- Counter-Strike
- CS2
- Counter-Strike 2
- Video Game
- Cheat Detection
- Gameplay
- Context Window
pretty_name: Counter Strike 2 Cheat Detection Context Windows - Length 1024
Counter Strike 2 Cheat Detection Context Windows - Length 1024
Overview
The Counter Strike 2 Cheat Detection Context Windows - Length 1024 (Context_window_1024) is a dataset conprised of "context windows". This dataset was created using extracted data from the CS2CD dataset. For more information regarding the data see AntiCheatPT: A Transformer-Based Approach to Cheat Detection In Competitive Computer Games by Mille Mei Zhen Loo and Gert Lužkov 1/6/2025.
Dataset Structure
⚠️ Warning: Any warnings that apply to the
CS2CD dataset at commit 44e5129654508b22802a050a45bcdbb44b103d87
also apply to this project.
In the context of this project a context window(CW) is a sequence of ticks containing gameplay information. The CW in this dataset are centered around kills. These CWs capture the data of two parties: The attacker(the player performing the kill) and the victim(the player being killed). Given that the attacker was a cheater, the CW would be marked as a "cheater kill". Kills not performed by a cheater were marked as not-cheater kills regardless of whether the victim was a cheater or not.
Counter-Strike 2 gameplay data is recorded in 64 ticks/second. With the CW length being 1024 ticks, the CWs capture 16 seconds of gameplay.
| Ticks before kill | Ticks after kill | Total Number of ticks |
|---|---|---|
| 896 (14 S) | 128 (2 S) | 1024 (16 S) |
Tick structure
A single tick in the CW is composed of the following information:
| # | Data point | Description |
|---|---|---|
| 1 | attacker_X | X coordinate of the attacking player |
| 2 | attacker_Y | Y coordinate of the attacking player |
| 3 | attacker_Z | Z coordinate of the attacking player |
| 4 | attacker_vel | Velocity of the attacking player |
| 5 | attacker_pitch | Pitch angle of the attacking player |
| 6 | attacker_yaw | Yaw angle of the attacking player |
| 7 | attacker_pitch_delta | Change in pitch angle of the attacking player since last tick |
| 8 | attacker_yaw_delta | Change in yaw angle of the attacking player since last tick |
| 9 | attacker_pitch_head_delta | Pitch angle distance from the victim's head |
| 10 | attacker_yaw_head_delta | Yaw angle distance from victim's head |
| 11 | attacker_flashed | Is the attacker currently flashed |
| 12 | attacker_shot | Did the attacker shoot their weapon on this specific tick |
| 13 | attacker_kill | Did the attacker kill the victim on this specific tick |
| 14 | is_kill_headshot | Was the kill a headshot |
| 15 | is_kill_through_smoke | Was the kill through a smoke |
| 16 | is_kill_wallbang | Was the kill through some wall or surface |
| 17 | attacker_midair | Did the kill happen while the attacker was midair |
| 18 | attacker_weapon_knife | Is the attacker holding a knife |
| 19 | attacker_weapon_auto_rifle | Is the attacker holding an automatic rifle |
| 20 | attacker_weapon_semi_rifle | Is the attacker holding a semi-automatic rifle |
| 21 | attacker_weapon_pistol | Is the attacker holding a pistol |
| 22 | attacker_weapon_grenade | Is the attacker holding a grenade |
| 23 | attacker_weapon_smg | Is the attacker holding a submachine gun |
| 24 | attacker_weapon_shotgun | Is the attacker holding a shotgun |
| 25 | victim_X | X coordinate of the victim player |
| 26 | victim_Y | Y coordinate of the victim player |
| 27 | victim_Z | Z coordinate of the victim player |
| 28 | victim_health | Health of the victim player |
| 29 | victim_noise | Did the victim player make noise |
| 30 | map_dust2 | Is the played map de_dust2 |
| 31 | map_mirage | Is the played map map_mirage |
| 32 | map_inferno | Is the played map de_inferno |
| 33 | map_train | Is the played map de_train |
| 34 | map_nuke | Is the played map de_nuke |
| 35 | map_ancient | Is the played map de_ancient |
| 36 | map_vertigo | Is the played map de_vertigo |
| 37 | map_anubis | Is the played map de_anubis |
| 38 | map_office | Is the played map cs_office |
| 39 | map_overpass | Is the played map de_overpass |
| 40 | map_basalt | Is the played map de_basalt |
| 41 | map_edin | Is the played map de_edin |
| 42 | map_italy | Is the played map cs_italy |
| 43 | map_thera | Is the played map de_thera |
| 44 | map_mills | Is the played map de_mills |
In order to capture the weapon used by the attacker without increasing the size of the tick vector too much, a weapon grouping was used as can be seen in row 18-24. The weapon groups were made based on similarity in gameplay.
| # | Weapon group | Weapons |
|---|---|---|
| 1 | attacker_weapon_knife | Zeus x27, knifet, knife, Bayonet, Bowie Knife, Butterfly Knife, Classic Knife, Falchion Knife, Flip Knife, Gut Knife, Huntsman Knife, Karambit, Kukri Knife, M9 Bayonet, Navaja Knife, Nomad Knife, Paracord Knife, Shadow Daggers, Skeleton Knife, Stiletto Knife, Survival Knife, Talon Knife, Ursus Knife |
| 2 | attacker_weapon_autorifle | AK-47, M4A1-S, Galil AR, SG 553, M4A4, AUG, FAMAS, M249, Negev |
| 3 | attacker_weapon_semirifle | G3SG1, SSG 08, AWP, SCAR-20 |
| 4 | attacker_weapon_pistol | CZ75-Auto, Desert Eagle, Dual Berettas, Five-SeveN, Glock-18, P2000, P250, R8 Revolver, Tec-9, USP-S |
| 5 | attacker_weapon_grenade | C4 Explosive, Decoy Grenade, Flashbang, High Explosive Grenade, Incendiary Grenade, Molotov, Smoke Grenade |
| 6 | attacker_weapon_smg | MAC-10, MP5-SD, MP7, MP9, P90, PP-Bizon, UMP-45 |
| 7 | attacker_weapon_shotgun | MAG-7, Nova, Sawed-Off, XM1014 |
Usage notes
- The dataset is formated in UTF-8 encoding.
- Researchers should cite this dataset appropriately in publications.
Application
- Cheat detection
Acknowledgements
A big heartfelt thanks to Paolo Burelli for supervising the project.