datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
enpisi-coder-data
enpisi-coder RL dataset
Judge-rated npcsh agent traces and derived RL training data for the
enpisi-coder model family.
Produced by scripts/rate_traces.py (LLM-as-judge) and
scripts/analyze_ratings.py; built into SFT/DPO/GRPO/PPO splits by
scripts/train_from_csv.py.
Splits
Split
Rows
Description
rated_traces
900
Per-trace judge scores (correctness, tool_selection, efficiency, clarity, partial_credit, composite)
tasks
100
Benchmark task definitions… See the full description on the dataset page: https://huggingface.co/datasets/npc-worldwide/enpisi-coder-data.npcsh-traces
enpisi-coder RL dataset
Judge-rated npcsh agent traces and derived RL training data for the
enpisi-coder model family.
Produced by scripts/rate_traces.py (LLM-as-judge) and
scripts/analyze_ratings.py; built into SFT/DPO/GRPO/PPO splits by
scripts/train_from_csv.py.
Splits
Split
Rows
Description
rated_traces
38388
Per-trace judge scores (correctness, tool_selection, efficiency, clarity, partial_credit, composite)
tasks
100
Benchmark task definitions… See the full description on the dataset page: https://huggingface.co/datasets/npc-worldwide/npcsh-traces.NPC-Chat
Dataset Card for Dataset Name
Dataset Summary
NPC in game training data
test_npcHi
NPC-Valence-Arousal
NPC Valence Arousal Dataset
Dataset Summary
This dataset contains text-emotion annotations designed for training AI models to understand and predict emotional states of NPCs (Non-Player Characters) in video games. Each text entry is annotated with valence and arousal scores based on Russell's Circumplex Model of Affect.
The dataset is specifically optimized for gaming applications where NPCs need to interpret player inputs and respond with appropriate emotional reactions.… See the full description on the dataset page: https://huggingface.co/datasets/Mavdol/NPC-Valence-Arousal.