datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cs2-demo-archive
CS2 Demo to Dataset — Pipeline Output Samples
Sample archives produced by the open-source
cs2-demo-to-dataset
pipeline, which converts a single CS2 .dem replay file into per-round,
per-player first-person video aligned to tick-level state, input and event
tables.
This release is not a dataset contribution. The point of the upload is to
demonstrate that the pipeline produces a coherent, reproducible archive
format. Please see the
GitHub repository for the
recorder code… See the full description on the dataset page: https://huggingface.co/datasets/Vasy7777/cs2-demo-archive.cs2-highlights
Dataset Card for Counter-Strike 2 Highlight Clips
Dataset Summary
This dataset contains 8,369 high-quality gameplay highlight clips primarily from Counter-Strike 2, with a small portion from Counter-Strike: Global Offensive. The clips focus on key gameplay moments such as kills, bomb interactions, and grenade usage. The clips are collected from competitive platforms like Faceit and in-game competitive modes (Premier, Matchmaking) across various skill levels, making it… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/cs2-highlights.cs2-v3-prompt-comparison-7-examples-with-multiaction-gemini35
CS2 V3 七案例 Gemini 3.5 Flash 最终结果对比 / Seven-case Gemini 3.5 Flash Comparison
本 README 展示 Gemini 3.5 Flash 对同一批 7 个视频的最终打标结果：每个案例先显示视频，再用左右两列并排展示两轮和七轮的完整 English JSON 与中文 JSON；内容直接展开，字号保持较小以便对照。
This README shows Gemini 3.5 Flash final labels for the same 7 videos. Each case places the video first, then displays complete English and Chinese JSON side by side: two-round on the left and seven-round on the right.
两轮与七轮的 API 输入详情通过顶部索引查看；中文侧保持与英文 JSON 相同的键、时间边界、数组长度和 Action 标签。
API… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/cs2-v3-prompt-comparison-7-examples-with-multiaction-gemini35.CS2-HUD-OCR-Crops
CS2 HUD OCR Crops
Per-region HUD crops sliced from three Counter-Strike 2 match recordings,
labelled where possible from the demo file's parse_ticks state. Built
to train a specialist CRNN that replaces the EasyOCR killfeed reader
(currently ~6 s p95 on CPU) with a sub-30 ms specialist.
Source
Three matches by the same POV player (farouqqq), recorded in CS2's
built-in DVR + the corresponding .dem files:
sample
map
dem
rounds
resolution
fps
sample1
Ancient… See the full description on the dataset page: https://huggingface.co/datasets/ybashir/CS2-HUD-OCR-Crops.cs2-yolocs2-v3-prompt-comparison-5-examples-with-multiaction
CS2 V3 七案例最终结果对比 / Seven-case Final Result Comparison
本 README 只展示模型的最终输出结果，不展示 API 请求 prompt。每个案例使用同一个视频：左列是两轮结果，右列是七轮结果。结果直接展开，无需点击折叠。英文和中文同时提供，字号缩小以便并排查看。
This README shows only the model's final output results, not the API request prompts. Each case uses the same video: the two-round result is on the left and the seven-round result is on the right. Results are visible directly with no expandable sections. English and Chinese are shown together in a small type size for… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/cs2-v3-prompt-comparison-5-examples-with-multiaction.cs2-action-inference-test
CS2 战术 Action 推理测试集
本测试集用于 WAN I2V 的战术动作定性测试。每个小类只保留 1 张真实比赛 POV 第一帧，以及两种英文文本条件；本版不提供 GT 视频。第一帧来源依据 parse-dem 的 events.csv、game_events.csv 或逐 tick 状态对齐到 opencs2_matches* 视频。
数据约定
共 45 个 case、9 个大类。
每个 case 只有一张 832x480 的 first_frame.png，作为 WAN I2V 条件图；不裁剪或复制 GT clip。首帧优先选择正常持械、水平视角、无遮挡且较开阔的画面。
prompt.txt 是完整英文 prompt，包含首帧可见环境、初始持械状态、画面保持要求和整段唯一动作变化。
chunk_prompts.json 固定包含 5 个英文 prompt，依次描述期望生成视频的 0-1、1-2、2-3、3-4、4-5 秒。
metadata.json… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/cs2-action-inference-test.CS2Tipscs280-synthetic-circles-v3chimera-cs2-screenshots
Chimera CS2 Screenshots
Raw Counter-Strike 2 gameplay screenshots for vision-language model training.
Labels coming soon — will include ground truth JSON with game_state, analysis, and advice.
Paper
Think Before You See: VLMs as Game Agents Without Reinforcement Learning from Scratch
cs294y_project2_segcs280-synthetic-circles-v1cs2-highlights
Dataset Card for Counter-Strike 2 Highlight Clips
Dataset Summary
This dataset contains 8,369 high-quality gameplay highlight clips primarily from Counter-Strike 2, with a small portion from Counter-Strike: Global Offensive. The clips focus on key gameplay moments such as kills, bomb interactions, and grenade usage. The clips are collected from competitive platforms like Faceit and in-game competitive modes (Premier, Matchmaking) across various skill levels, making it… See the full description on the dataset page: https://huggingface.co/datasets/UnwilledLight/cs2-highlights.cs224vcs280-synthetic-circles-v2course2notes-transition-pairs-cs224ncs280-synthetic-circles-v4CS231_30VNFoods_processedAmigo25