README.md

---
license: mit
task_categories:
- reinforcement-learning
- tabular-classification
- text-classification
- tabular-to-text
tags:
- decision-making
- reinforcement-learning
- games
- rpg
- RL
- gym
- human-gameplay
task_ids:
- emoji_quest_rl
pretty_name: Emoji Quest RL Dataset
dataset_info:
  configs:
  - config_name: game_states
    data_files:
    - split: train
      path: game_states.csv
    features:
    - name: timestamp
      dtype: int64
    - name: action
      dtype: string
    - name: reward
      dtype: float64
    - name: outcome
      dtype: string
    - name: decision_type
      dtype: string
    - name: player_state_snapshot
      dtype: string
    - name: enemy_info
      dtype: string
    - name: player_state
      dtype: string
    - name: enemy_state
      dtype: string
    - name: enemy_count
      dtype: int64
    - name: game_state
      dtype: string
  - config_name: decisions
    data_files:
    - split: train
      path: decisions.csv
    features:
    - name: timestamp
      dtype: int64
    - name: action
      dtype: string
    - name: reward
      dtype: float64
    - name: outcome
      dtype: string
    - name: decision_type
      dtype: string
    - name: player_state_snapshot
      dtype: string
    - name: enemy_info
      dtype: string
    - name: player_state
      dtype: string
    - name: enemy_state
      dtype: string
    - name: enemy_count
      dtype: int64
    - name: game_state
      dtype: string
default: game_states
---

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\_   _____/ _____   ____    |__|__| \_____  \  __ __   ____   _______/  |_ 
 |    __)_ /     \ /  _ \   |  |  |  /  / \  \|  |  \_/ __ \ /  ___/\   __\
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/_______  /__|_|  /\____/\__|  |__| \_____\ \_/____/  \___  >____  > |__|  
        \/      \/      \______|           \__>           \/     \/        
</div>

# Emoji Quest RL Dataset

Reinforcement learning dataset from Emoji Quest RL gameplay. Single human playthrough of Emoji Quest RL — 
turn-based emoji RPG with combat, stat upgrades, resting & crafting. The game is available for download in
the /gym/ folder of the repo so players can create their own datasets.

It contains 85 decision points / states → full session: lvl 1→8, 13 enemies defeated, 1451 gold earned, ~169s playtime.
Two splits / files (Parquet + CSV):

- game_states — snapshots at every decision point (default)
- decisions — focused on player choices + immediate results

## Key Columns (all rows):

- timestamp — event time
- action — what happened (e.g. "Spell", "enemy_attack", "upgrade_int", "inn_rest", "craft_armor_1")
- reward — shaped signal (-100..500): + for damage/victory/progression, - for taken damage
- outcome — result type (damage_dealt, damage_taken, victory, progression, etc.)
- decision_type — category (Spell, enemy_attack, upgrade_stat, rest_inn, craft_armor)
- player_state / player_state_snapshot — JSON: level, hp/mp, str/int/vit/def, gold, skillPoints, exp, equipment flags
- enemy_info / enemy_state — JSON: emoji enemy name (💾 Datavore etc.), hp, attack, boss/eliteness
- enemy_count — 1–13
- game_state — always "playing"

## Files

### game_states.csv

Game state snapshots at each decision point. Contains player and enemy stats.

### decisions.csv

Player decisions with rewards and outcomes. Contains action choices and results.

## Summary

- Total states: 85
- Total decisions: 85
- Total enemies defeated: 13
- Total gold earned: 1451
- Total XP earned: 121
- Play time: 169 seconds
- Final level: 8
- Final gold: 1451
- Final HP: 210
- Final MP: 20