fictional
Meta-Llama-3-8B-Instruct_fictional_Chinese_v2-GGUFyzhuang_-_Meta-Llama-3-8B-Instruct_fictional_arc_challenge_English_v2-ggufyzhuang_-_Meta-Llama-3-8B-Instruct_fictional_gsm8k_English_v1-ggufyzhuang_-_Meta-Llama-3-8B-Instruct_fictional_mathqa_English_v1-ggufyzhuang_-_TinyLlama-1.1B-Chat-v0.1_fictional_arc_challenge_Korean_v1-ggufMeta-Llama-3-8B-Instruct_fictional_arc_challenge_english_v1-GGUFMS-MagpantheonselRP-22B-12.2-Fictional-i1-GGUFMeta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2-GGUF
fictional-characters-image-datasetHow to use
Here is how to use this dataset:
from datasets import load_dataset
dataset = load_dataset("gryffindor-ISWS/fictional-characters-image-dataset")
This repository contains fictional characters dataset constructed from Wikidata for the research project "Draw Me Like Your Triples: Leveraging Generative AI for the Completion of Wikidata". The project was conducted by Raia Abu Ahmad, Martin Critelli, Şefika Efeoğlu, Eleonora Mancini, Célian Ringwald and Xinyue Zhang under the… See the full description on the dataset page: https://huggingface.co/datasets/gryffindor-ISWS/fictional-characters-image-dataset.fictionalqa_training_splits
Training splits view of the FictionalQA dataset
The FictionalQA dataset
Repository: https://github.com/jwkirchenbauer/fictionalqa
Paper: https://arxiv.org/abs/2506.05639
Dataset Description
This dataset is a derivative of the main dataset hf.co/datasets/jwkirchenbauer/fictionalqa. Please see that dataset's README for a detailed description of the assets.
The dataset splits (configs) provided here are the exact ones materialized and used in the experiments for… See the full description on the dataset page: https://huggingface.co/datasets/jwkirchenbauer/fictionalqa_training_splits.fictionalqa
The FictionalQA dataset
Repository: https://github.com/jwkirchenbauer/fictionalqa
Paper: https://arxiv.org/abs/2506.05639
Dataset Summary
The FictionalQA dataset is a dataset specifically created to empower researchers to study the dual processes of fact memorization and verbatim sequence memorization. The dataset consists of synthetically-generated, webtext-like documents about fictional events and various facts they entail, as well as question-answer pairs about the… See the full description on the dataset page: https://huggingface.co/datasets/jwkirchenbauer/fictionalqa.fictional-knowledge
Fictional Knowledge Dataset
Dataset Description
This dataset was created for the paper "How Do Large Language Models Acquire Factual Knowledge During Pretraining?" (https://arxiv.org/abs/2406.11813). It consists of 130 fictional knowledge entries and corresponding probes designed to test the large language models' factual knowledge acquisition capabilities. Each fictional knowledge entry is created by GPT-4, using an instance of the ECBD dataset… See the full description on the dataset page: https://huggingface.co/datasets/kaist-ai/fictional-knowledge.FictionalAsianBeautyCollection
概要
私自身から作成した人工・架空の東アジア系美人（あたし/Atashi）の動画セット。
名称はnewest順。1～4は約500本、5は約400本の動画。
無加工の原データ（タグ付けもこちらでは行わず）。画像生成AIのみならず、将来的に動画生成AIの学習原データとしても使えるように想定。
顔の合成にはFaceApp, Meitu, Faceplayを利用。
Faceplayのビデオ音声をそのまま利用しているため、Audioについては第三者が著作権を保持している可能性がある。ただし、その場合であっても、日本国法ではAudioの学習も合法である。
Visualな側面を切り出したい場合は、どちらにせよAudioは使わないはずなので、実質関係ないとみてよい。
Faceplayの置換漏れフレーム・人物、男性化されたあたしが含まれている可能性があるため、必要であればそのチェックや除去は各自で行うこと。
実写タッチを強化したいが、実在人物を使うことで肖像権がらみの問題が発生することを避けたい人向け。
About
A video set… See the full description on the dataset page: https://huggingface.co/datasets/ThePioneer/FictionalAsianBeautyCollection.fictionalqa_reformatted_triviaqa
Reformatted TriviaQA for use alongside FictionalQA
Repository: https://github.com/jwkirchenbauer/fictionalqa
Paper: https://arxiv.org/abs/2506.05639
Dataset Description
This dataset is a simple derived view of the validation data from the original TriviaQA dataset hosted by the original creators at hf.co/datasets/mandarjoshi/trivia_qa. To create this view, we extract the wikipedia articles associated with each question, as well as a simplified answer list, and then we… See the full description on the dataset page: https://huggingface.co/datasets/jwkirchenbauer/fictionalqa_reformatted_triviaqa.