datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ZH-Famouspvp-tool-calling-sft
PvP tool-calling SFT cold-start data
Claude-vs-Claude games played through the G.O.D PvP tool-calling harness. Each row is one model turn (or post-game reflection): the system+user prompt the harness built, the assistant response (content + tool_calls), and the tools schemas — i.e. the OpenAI messages+tools format consumed by tokenizer.apply_chat_template(messages, tools=tools). On a move turn the assistant co-emits any memory-tool edits and a game_action committing a legal… See the full description on the dataset page: https://huggingface.co/datasets/gradients-io-tournaments/pvp-tool-calling-sft.PVPPVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings
CSV Column Descriptions
The csv_files directory contains train_paper, eval_paper, and test_paper, which are the files used in this study to train, evaluate, and test the model.
Annotator_ID: Globally unique identifier for the annotator
Gender: Annotator’s self‑reported gender (1 = Male, 2 = Female)
Age: Annotator’s age (years)
PVQ21, Big5… See the full description on the dataset page: https://huggingface.co/datasets/holi-lab/PVP.pv-prompts-sycophanticpv-prompts-non-sycophanticmusicanimalenvironmentemotionpv-prompts-non-sycophantic_Qwen2.5-32B-Instructpv-prompts-sycophantic_Qwen2.5-32B-Instructpv-prompts-evil_Llama-2-7b-chat-hfpv-prompts-non-evil_Qwen2.5-32B-Instructpv-prompts-non-evilpv-prompts-non-sycophantic_Llama-2-7b-chatpv-prompts-sycophantic_Qwen2.5-1.5B-Instructpv-prompts-evil_Qwen2.5-32B-Instructpv-prompts-evilpv-prompts-sycophantic_Llama-2-7b-chatpv-prompts-non-evil_Llama-2-7b-chat-hf