--- 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 --- [![Website](https://img.shields.io/badge/webXOS.netlify.app-Explore_Apps-00d4aa?style=for-the-badge&logo=netlify&logoColor=white)](https://webxos.netlify.app) [![GitHub](https://img.shields.io/badge/GitHub-webxos/webxos-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/webxos/webxos) [![Hugging Face](https://img.shields.io/badge/Hugging_Face-🤗_webxos-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/webxos) [![Follow on X](https://img.shields.io/badge/Follow_@webxos-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/webxos)
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# 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