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Update dataset card: Eimantas Kulbe credit, coverage plan T1/T2/T3, usage examples

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  ---
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- license: cc-by-nc-4.0
 
 
 
 
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  tags:
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  - cs2
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  - counter-strike
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  - esports
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  - demos
 
 
 
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  size_categories:
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- - n>1T
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  ---
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- # CounterQuant-CS2-Demos
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- **Official CS2 Tier 1 match demo files.**
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- Raw `.dem` files extracted from HLTV demo archives.
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- Organized as `data/{year}/{match_id}/{map}.dem`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Usage
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- Use [demoparser2](https://github.com/LaihoE/demoparser2) or [awpy](https://github.com/pnxenopoulos/awpy) to parse.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## License
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- CC-BY-NC-4.0 — research and non-commercial use.
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- ## CounterQuant
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- cs2quant.kedevo.com
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - other
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+ language:
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+ - en
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  tags:
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  - cs2
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  - counter-strike
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  - esports
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  - demos
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+ - game-theory
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+ - sports-analytics
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+ pretty_name: CounterQuant CS2 Demos
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  size_categories:
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+ - 10K<n<100K
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  ---
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+ # CounterQuant CS2 Demos
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+ Raw CS2 (Counter-Strike 2) demo files (.dem) collected from HLTV — the authoritative competitive CS2 demo repository.
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+ **Curated and maintained by [Eimantas Kulbe](https://github.com/redrum88) as part of the [CounterQuant](https://cs2quant.kedevo.com) esports analytics project.**
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+
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+ ## Dataset Goal
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+
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+ Provide the CS2 research community with the largest open-access collection of raw professional demo files, covering all competitive tiers from CS:GO's origin through CS2's present day.
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+
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+ **The philosophy:** squeeze every available demo into one place so anyone can preprocess, parse, or derive features in any way they want — no gatekeeping, no preprocessing lock-in.
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+
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+ ## Coverage
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+
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+ | Tier | Description | Years | Status |
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+ |------|-------------|-------|--------|
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+ | T1 | Major/S-tier events (top 20 world teams) | 2024–present | Active — daily updates |
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+ | T2 | A-tier events (top 50 teams) | 2024–present | Active — daily updates |
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+ | T3 | B-tier / regional events | 2024–present | In progress |
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+ | Historical | CS:GO T1/T2 (pre-2024) | 2012–2023 | Planned |
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+
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+ ## File Structure
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+
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+ ```
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+ data/
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+ {year}/
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+ tier{N}/
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+ {match_id}/
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+ {map_name}.dem
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+ ```
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+
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+ Example:
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+ ```
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+ data/2024/tier1/2378549/astralis-vs-natus-vincere-mirage.dem
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+ data/2025/tier2/2401337/team-vitality-vs-g2-inferno.dem
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+ ```
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  ## Usage
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+
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+ ### Parse with demoparser2 (Python)
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+
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+ ```python
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+ from demoparser2 import DemoParser
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+
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+ parser = DemoParser("data/2024/tier1/2378549/astralis-vs-natus-vincere.dem")
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+
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+ # Player kill events
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+ kills = parser.parse_event("player_death", player=["name", "team_name"])
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+
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+ # Round-by-round economy
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+ rounds = parser.parse_ticks(["total_rounds_played", "cash_spent_t", "cash_spent_ct"])
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+ ```
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+
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+ ### Download via huggingface_hub
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ # Download all 2024 T1 demos
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+ path = snapshot_download(
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+ repo_id="KEDevO/CounterQuant-CS2-Demos",
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+ repo_type="dataset",
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+ allow_patterns="data/2024/tier1/**",
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+ local_dir="./demos",
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+ )
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+ ```
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+
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+ ### Stream individual files
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+
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+ dem = hf_hub_download(
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+ repo_id="KEDevO/CounterQuant-CS2-Demos",
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+ repo_type="dataset",
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+ filename="data/2024/tier1/2378549/match.dem",
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+ )
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+ ```
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+
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+ ## What You Can Do With These Demos
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+
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+ - **Feature engineering**: extract round economy, positioning, utility, player rating
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+ - **Model training**: win-probability, player rating, team strength models
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+ - **Research**: CS2 game theory, tactical analysis, team dynamics
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+ - **Statistics**: compute your own KDA, HLTV Rating 2.0, ADR, Impact
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+ - **No restrictions**: raw bytes, parse however you like
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+
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+ ## Update Schedule
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+
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+ New demos are added within 24–48 hours of match completion. The pipeline runs continuously across dedicated VPS infrastructure.
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+
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+ ## Data Source
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+
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+ Demos sourced from [HLTV.org](https://www.hltv.org) — the official repository for professional CS2 match data. HLTV is the authoritative source for all competitive CS2/CS:GO results and replays.
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+
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+ ## Citation
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+
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+ If you use this dataset in research, please cite:
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+
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+ ```bibtex
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+ @dataset{kulbe2025counterquant,
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+ author = {Eimantas Kulbe},
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+ title = {CounterQuant CS2 Demos},
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+ year = {2025},
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+ publisher = {HuggingFace},
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+ url = {https://huggingface.co/datasets/KEDevO/CounterQuant-CS2-Demos},
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+ note = {Continuously updated professional CS2 demo dataset, all tiers, T1/T2/T3}
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+ }
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+ ```
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  ## License
 
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+ [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — use freely with attribution to Eimantas Kulbe / CounterQuant.
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+
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+ ## Related Resources
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+
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+ - [CounterQuant Platform](https://cs2quant.kedevo.com) — live CS2 analytics dashboard
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+ - [CounterQuant Bronze Dataset](https://huggingface.co/datasets/KEDevO/CounterQuant-Bronze) — structured match/player/team data (JSON/Parquet)