datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Roleplay-Anime-CharactersA small synthetic (mostly) SFW dataset of (mostly) one on one character RP. Focuses on anime and game characters etc. This dataset tries to leverage the information larger models know about the characters to play them in character better than would normally be possible with generic characters.
The situations are generally absurd so the model is forced to generalize. It focuses on teaching the model how to be proactive, creative, emotional and take existing characters it may know about and… See the full description on the dataset page: https://huggingface.co/datasets/zerofata/Roleplay-Anime-Characters.booru-characters
Booru Characters
Overview
A line-oriented JSON dataset of character tag metadata extracted from Danbooru using the Danbooru API. Each record contains tag-level metadata and simple relationships between tags.
Contents
hf_dataset/characters.jsonl: one JSON object per line. Each object contains the fields described below.
hf_dataset/dataset_info.json: minimal metadata describing the exported features.
Fields (per record)
id (int):… See the full description on the dataset page: https://huggingface.co/datasets/Sn0w123/booru-characters.metrixel-rigged-characters
Metrixel Animated Character Samples
A small set of rigged, animated humanoid character models, free to use in your own projects. Each file ships with a skeleton, skin weights and a motion clip, so it drops straight into a scene — or retarget your own motion onto the rig instead.
They are published as complimentary sample content for Metrixel, a local 3D dataset-preparation toolchain — handy starting assets if you want to try a multi-view render, SDF or mesh-tensor export… See the full description on the dataset page: https://huggingface.co/datasets/EntVista/metrixel-rigged-characters.Gemini-3.1-Pro-GLM5-CharactersPrompts generated by Gemini 3.1 Pro.
Responses generated by Gemini 3.1 Pro.
Reasoning traces:
Step 1: Generated by GLM 5 which was provided the original system prompt / knowledge
Step 2: Edited by Gemini to fix any contradictions with the existing response
Step 3: Edited again to remove / reduce drafting and remove reasoning related to safety / refusals
System prompt was generated based on the original and whatever constraints / rules etc. had been mentioned in the reasoning trace.
A small… See the full description on the dataset page: https://huggingface.co/datasets/zerofata/Gemini-3.1-Pro-GLM5-Characters.ai-characters-QA
データ作成方法
以下の質問集のデータセットを利用しました。
質問に対する回答をLLMによって生成し、QA集のデータセットを新たに作成しました。各種キャラクターは、回答生成時のシステムプロンプトでキャラ付けしています。
回答生成には、llama-cpp-pythonとunsloth/gemma-3-27b-it-UD-Q8_K_XL.ggufを使用しました。
aituber_question_dataset
chub_popular_characters50-Chinese-Novel-Characterscharacters_dialogs
🇬🇧 English
Multi-Character Dialogue Dataset
A collection of synthetic cross-world character interactions with layered conflicts and surreal elements. Each entry represents a collision of two characters from different realities with generated dialogues.
Characters taken from this dataset:
Key Features:
World Hybridization System - Merging of incompatible realities
Dynamic Speech Patterns - Gestures, sound effects and environmental reactions
Multi-Dimensional… See the full description on the dataset page: https://huggingface.co/datasets/limloop/characters_dialogs.kyrgyz_sentences_with_incorrect_and_correct_umlaut_characters
Kyrgyz Orthographic Correction Dataset
Dataset Description
This dataset is designed to fine-tune language models for a Kyrgyz-to-Kyrgyz orthographic correction task. It addresses a common issue in digital Kyrgyz text where specific Cyrillic characters specific to the Kyrgyz language (ө, ң, ү) are replaced by their Russian keyboard counterparts (о, н, у).
The dataset is structured in a conversational format, making it ideal for instruction-tuning chat models.… See the full description on the dataset page: https://huggingface.co/datasets/murat/kyrgyz_sentences_with_incorrect_and_correct_umlaut_characters.onepiece-characters
onepiece-character
This is a dataset created from crawling the One Piece Fandom on 2023-07-08.
TheatreLM-v2.1-CharactersIf you use this dataset or the prompts on this page, I'd greatly appreciate it if you gave me credits. Thanks!
5k character cards, with corresponding world information, lorebook, and story outline/introduction, ready to use for RP or synthetic dataset generation
At a Glance:
'setting': Information about the world the story takes place in.
'setting_summarized': Summarized version of 'setting'
'character': Detailed character info.
'character_summary': Summarized version of… See the full description on the dataset page: https://huggingface.co/datasets/G-reen/TheatreLM-v2.1-Characters.symmetric_group_characters_22
Characters of Irreducible Representations of the Symmetric Group, S22S_{22}S22One way to understand the algebraic structure of the set of permutations of nnn elements
(the symmetric group, SnS_nSn) is
through its representation theory [1], which converts algebraic questions into linear
algebra questions that are often easier to solve. A representation of group GGG on vector
space VVV, is a map ϕ:G→GL(V)\phi:G \rightarrow GL(V)ϕ:G→GL(V) that converts elements of ggg to invertible… See the full description on the dataset page: https://huggingface.co/datasets/ACDRepo/symmetric_group_characters_22.symmetric_group_characters_18
Characters of Irreducible Representations of the Symmetric Group, S18S_{18}S18One way to understand the algebraic structure of the set of permutations of nnn elements
(the symmetric group, SnS_nSn) is
through its representation theory [1], which converts algebraic questions into linear
algebra questions that are often easier to solve. A representation of group GGG on vector
space VVV, is a map ϕ:G→GL(V)\phi:G \rightarrow GL(V)ϕ:G→GL(V) that converts elements of ggg to invertible… See the full description on the dataset page: https://huggingface.co/datasets/ACDRepo/symmetric_group_characters_18.symmetric_group_characters_20
Characters of Irreducible Representations of the Symmetric Group, S20S_{20}S20One way to understand the algebraic structure of the set of permutations of nnn elements
(the symmetric group, SnS_nSn) is
through its representation theory [1], which converts algebraic questions into linear
algebra questions that are often easier to solve. A representation of group GGG on vector
space VVV, is a map ϕ:G→GL(V)\phi:G \rightarrow GL(V)ϕ:G→GL(V) that converts elements of ggg to invertible… See the full description on the dataset page: https://huggingface.co/datasets/ACDRepo/symmetric_group_characters_20.CharacterStories
Uncensored Character Stories
license: MIT
Dataset Attribution
This dataset is derived from the CharacterCodex dataset created by NousResearch, and consists of approximately
2M tokens of character stories. This dataset should be used to train models to write coherent stories and lore.
Original Dataset Information:
Source: Name: CharacterCodex
URL: CharacterCodex
License: MIT
Changes made:
Split into training and validation sets.
Augmented with AI-generated story arcs… See the full description on the dataset page: https://huggingface.co/datasets/luvGPT/CharacterStories.dbpedia_abstracts_fictional_characters_with_imgDBpedia Abstracts
AlekseyKorshuk-synthetic-characters
Synthetic Characters
This dataset is a combination of three datasets created by Aleksey Korshuk in a ShareGPT-like format. It features custom-made characters engaging in conversations with users, designed for tasks like fine-tuning conversational AI models.
Dataset Description
The dataset consists of dialogues where each character has a distinct identity, description, and personality traits. The system message has been replaced with the character's identity, description… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/AlekseyKorshuk-synthetic-characters.fictional_characters_raw_data_with_imagesru_fantasy_characters
🇬🇧 English
A dataset of synthetically generated fantasy and sci-fi characters.
It includes numerous unique characters with backstories and detailed worlds.
🔮 Interactive Explorer
Now you can leave feedback!
Now you can explore the characters in a Hugging Face Space
Features of the Space:
Filter by absurdity and mood
Search by tags or directly within the text
Character cards for roleplaying (RP)
Data Format
Each character card contains:… See the full description on the dataset page: https://huggingface.co/datasets/limloop/ru_fantasy_characters.prompts_wiki_fictional_characters_raw_data_with_imagefictional_characters_raw_data_without_imagesTheatreLM-v1.0-Characters
This is a set of 200 character cards distilled from a mixture of sources. It may be regenerated in the future with a better model, which would fix some of the issues this dataset currently has.
To distill character cards, we go through the following process:
Randomly pick several traits the character will have. (list given below)
Ask the LLM to name the new character based on its traits.
Ask the LLM to create a description for the new character based on its name and traits.… See the full description on the dataset page: https://huggingface.co/datasets/G-reen/TheatreLM-v1.0-Characters.TheatreLM-v2.0-CharactersPlease use https://huggingface.co/datasets/G-reen/TheatreLM-v2.1-Characters instead.
subset-fictional-characters-raw-data-with-imagesprompts_subset_wiki_fictional_characters_raw_data_with_imageMarvel_charactersmarvel-characters-dataset