dota-2
Datasets
All datasets matching “dota-2”betty-dota2-canonical-v1Dota2PornFx
Dota2PornFx Dataset
This dataset contains a collection of mods designed for the website Dota2PornFxWeb.
Website Repository: h6rd/Dota2PornFxWeb
📜 License & Usage Terms
This dataset is distributed under the GNU General Public License v3.0 (GPL-3.0).
While the dataset is open-source under GPLv3, you must adhere to the following attribution guidelines when using, modifying, or redistributing these files:
Attribution Requirements
Credit the… See the full description on the dataset page: https://huggingface.co/datasets/hrdq/Dota2PornFx.betty-dota2-canonical-v1
Betty Dota 2 Canonical Dataset
Enriched version of the Dota 2 match data.
Created during backfill process.
betty-dota2
Betty Dota 2 — Decision Context Dataset
Overview
9,385 professional Dota 2 matches parsed from replay files (.dem) into a rich, per-second decision context: hero states, ability cooldowns, building HP, combat events, modifiers, ward placements, and objectives.
Built to train Transformer and RL models that understand the game state at each moment in time.
Dataset Structure
matches.parquet — 9,385 rows
One row per match. Match metadata, STRATZ player… See the full description on the dataset page: https://huggingface.co/datasets/wolframko/betty-dota2.betty-dota2-raw-v2
Betty Dota 2 Raw Dataset v2
Lossless delta-encoded extraction of Dota 2 professional match replays.
Structure
betty/
├── README.md — this file
├── replays/ — original .dem.bz2 replay files (symlink)
├── raw/{match_id}/ — parsed data per match
│ ├── entities.parquet — entity property deltas (all 200+ entity classes)
│ ├── entity_classes.parquet — class_id → class_name mapping
│ ├── property_dict.parquet — prop_id →… See the full description on the dataset page: https://huggingface.co/datasets/wolframko/betty-dota2-raw-v2.Game-Oracle_DOTA2-Match-Prediction-Dataset
Game Oracle: DOTA 2 Match Prediction Dataset
Executive Summary
Game Oracle is a comprehensive data analysis project focused on DOTA 2 match prediction and professional gameplay patterns. The project addresses the growing demand for data-driven insights in esports, particularly in competitive gaming strategy and outcome prediction.
Motivation
The exponential growth of esports has created a need for sophisticated analytical tools to understand game dynamics and… See the full description on the dataset page: https://huggingface.co/datasets/howl-anderson/Game-Oracle_DOTA2-Match-Prediction-Dataset.