datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
poc-mini-trade-game-dataset
Dataset Card for Mini Trade Game NPC Dataset
Dataset Summary
This dataset contains synthetic training examples for simulating NPC (Non-Player Character) merchant behavior in a trading game scenario. The dataset is designed to train language models to generate contextually appropriate trading responses based on item properties, relationship status, and player interactions.
All examples are in Traditional Chinese (zh-TW), with player inputs and NPC responses using… See the full description on the dataset page: https://huggingface.co/datasets/aotoki/poc-mini-trade-game-dataset.competitive-game-dataset
Competitive Game Dataset
This dataset collects move trajectories and accompanying natural-language explanations from three classic board games—Tic-Tac-Toe, Connect Four, and Chess—played by a diverse ensemble of large language models. It can be used for training or evaluating large language models (LLMs). This dataset contains
Game trajectories generated by pair-wise… See the full description on the dataset page: https://huggingface.co/datasets/yyyyyyjjjjzzz/competitive-game-dataset.ptdbench-reward-design-reward-new-nim-game-021-dataset
PTDBench dataset snapshot: reward_new_nim_game_021
This repository stores the immutable runtime dataset snapshot for one
materialized PTDBench task. It intentionally excludes model weights and
training checkpoints.
PTDBench family: reward_design
Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128
Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable.
License: MIT
The artifact manifest records every hydrated… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-reward-design-reward-new-nim-game-021-dataset.