datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.dota2tuned-data
DOTA2Tuned Data
This dataset supports the DOTA2Tuned Hugging Face Build Small Hackathon app. It contains compact derived artifacts for Dota 2 draft recommendations, hero meta lookup, build timing summaries, match prediction, retrieval, and supervised fine-tuning examples.
Contents
sft_examples.jsonl: instruction examples generated from normalized Dota 2 recommendations, patch/stat cards, and app behaviors.
Compact Parquet artifacts used by the Space:
dim_hero… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/dota2tuned-data.dota-2-toxic-chat-datadota2dota2_instruct_promptInstruction-answer dataset generated with GPT 3.5 Turbo using (html) data scrapped from fandom wiki. Data includes the following topics:
Heroes
Background lore
Attributes / Stats
Abilities
Talents
Runes
Buildings
Items
Gameplay mechanics
Creeps
Pending enhancement:
Data cleaning/preprocessing before fed into GPT 3.5 Turbo for instruction-answer set generation
Strategy data of each hero, i.e. guide to using each hero
Individual items' properties
Types of creeps in details
Types of runes… See the full description on the dataset page: https://huggingface.co/datasets/Aiden07/dota2_instruct_prompt.dota-2-toxic-chat-datadota2_seg