datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/CS2CD/CS2CD.Counter-Strike_2_Cheat_Detection.cs2-anticheat-rawCS2-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-yolocs-230-news-v3CS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/adhitsamonkar/CS2CD.Counter-Strike_2_Cheat_Detection.cs2-v3-prompt-comparison-5-examples
CS2 V3 五案例最终结果对比 / Five-case Final Result Comparison
本 README 只展示模型最终输出结果，不展示发送给 API 的 Prompt。每个案例使用同一视频：左侧为两轮结果，右侧为七轮结果。结果无需展开即可直接查看，英文原文和中文翻译同时提供并排对比。
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 for side-by-side comparison.
Case 1… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/cs2-v3-prompt-comparison-5-examples.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.cs2-10k-vjepa2-latents-300
CS2-10k V-JEPA2 latent cache (300 matches)
Frozen facebook/vjepa2-vitl-fpc64-256 embeddings of single-POV Counter-Strike 2
gameplay, from 300 matches of RekaAI/CS2-10k
(mirage + dust2). This is the training substrate for the
scale300 hierarchical world model.
Rebuilding it from source takes ~82 hours of wall-clock (elapsed_min 4942.7),
almost all of it network-bound, which is why it is published here.
Contents
file
shape / rows
notes
latents.npy
[6,942… See the full description on the dataset page: https://huggingface.co/datasets/cbctr/cs2-10k-vjepa2-latents-300.italic-extkd-pool
italic-extkd-pool
The stage-3 training data of idealab-cs2/zagreus-0.4B-italic-extkd: 57,563 Italian multiple-choice questions from public, in-distribution datasets with teacher soft labels. One soft-KD stage from the stage-2 checkpoint on the agreement-filtered subset (28,561 items where the teacher agrees with the gold answer) reaches 0.4921 / 0.4929 / 0.4932 on the full ITALIC 10K (official harness, 5-shot fast, temperature 0, three independent runs). Full lineage: 0.2802… See the full description on the dataset page: https://huggingface.co/datasets/idealab-cs2/italic-extkd-pool.italic-softkd-pool
italic-softkd-pool
The exact training data of idealab-cs2/zagreus-0.4B-italic-softkd: 21,606 Italian multiple-choice questions with committee soft labels. One soft-KD training run from mii-llm/zagreus-0.4B-ita on the train split reaches 0.4787 on the full ITALIC 10K (official harness, 5-shot fast, temperature 0), from a 0.2802 base.
train is the full pool; the other three splits partition it by provenance:
split
rows
contents
train
21,606
the full training file (union… See the full description on the dataset page: https://huggingface.co/datasets/idealab-cs2/italic-softkd-pool.cs2-pro-round-economy
CS2 Professional Round Economy
A compact, researcher-oriented extraction of round-level economy and freeze-time inventory from 1,988 professional Counter-Strike 2 maps. The source demos total 935.2 GB; this release contains only approximately 22.2 MiB of compressed Parquet tables and does not redistribute any demo files.
The maps come from 860 series across 70 events collected in blanchon/cs2_dataset_demo, fixed at source revision 912a363098feec3f220e41d68634d2f71676c28b. They… See the full description on the dataset page: https://huggingface.co/datasets/sneakyzero/cs2-pro-round-economy.Context_window_256
Counter Strike 2 Cheat Detection Context Windows - Length 256
Overview
The Counter Strike 2 Cheat Detection Context Windows - Length 256 (Context_window_256) 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.… See the full description on the dataset page: https://huggingface.co/datasets/CS2CD/Context_window_256.cs2-pro-statscs230-news-unfiltereddeliberative-quality-72b
Reddit Deliberative Quality Labels (Qwen2.5-72B-Instruct)
This dataset has not been validated against human annotations. It is provided for illustrative and educational purposes only — specifically, as a training resource for building classifiers that rate the deliberative quality of Reddit comments. Scores should not be treated as ground-truth measures of discourse quality.
205,851 Reddit comment-parent pairs from r/worldnews and r/geopolitics (January 1 – February 3, 2026), each… See the full description on the dataset page: https://huggingface.co/datasets/idealab-cs2/deliberative-quality-72b.cs2-playstyle-dataset-2024
CS2 Playstyle Dataset (2024)
Author: Jamie PackerLicense: CC BY 4.0Source: GitHub Repository
Overview
This dataset captures player playstyle features and role labels from professional Counter-Strike 2 matches in 2024.It includes aggregated player-level metrics describing opening attempts, trading behaviour, time-alive-per-death,and team-relative positioning features (ADNT, ADAT) derived from parsed demo files usingawpy.
Designed for clustering, player profiling, and… See the full description on the dataset page: https://huggingface.co/datasets/Jamie-Packer/cs2-playstyle-dataset-2024.cs217-rlhf-dataset
CS217 Fixed HH-RLHF Dataset
Fixed subset of Anthropic's HH-RLHF dataset for reproducible RLHF experiments
Created for Stanford CS217: Hardware Accelerators for Machine Learning - Final Project
🔗 GitHub Repository: CS217-Final-Project
Dataset Description
This is a fixed subset of the Anthropic/hh-rlhf dataset, created to ensure reproducible experiments across all runs. The dataset contains human preference pairs for training reward models and RLHF (Reinforcement Learning… See the full description on the dataset page: https://huggingface.co/datasets/hivamoh/cs217-rlhf-dataset.cs-230-news-v3-test-liberalyoutoks-transcripts-Stanford-CS25-Transformers-Unitedmsmarco-docids-rkmeans-nc24-cs256common-voicecs2-historical-item-prices-hourly-march-april-2026
CS2 Historical Item Price Dataset - Hourly Data from BUFF, CSFloat, Youpin (March-April 2026)
Published by cs2.sh - the pricing API for the Counter-Strike 2 skin market. Released free under CC BY 4.0.
Hourly price history for Counter-Strike 2 (CS2) items across three marketplaces - BUFF (buff163), CSFloat, and Youpin (youpin898) - plus a cross-marketplace aggregate with trading volume and total supply.
Window: 2026-03-22 → 2026-04-15 (25 days, 600 hourly buckets)
Items: 33,063… See the full description on the dataset page: https://huggingface.co/datasets/idomanteu/cs2-historical-item-prices-hourly-march-april-2026.tinysql_cs2_datasetPaper: https://arxiv.org/abs/2503.12730
cs230-newsh-novel-alpacaConvert data to alpaca format based on https://huggingface.co/datasets/ystemsrx/Erotic_Literature_Collection and porn novel from other source.
Max length of the content is 7000
cs-230-news-v3-test-moderatecs224w_final_proj_fxcs2-processingcs-230-news-v2