datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sql-create-context
Overview
This dataset builds from WikiSQL and Spider.
There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names, column… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/sql-create-context.creative-writing-sft-50k
Creative Writing SFT (50K)
50,000 ShareGPT-format creative writing conversations across 12 literary forms and 25 themes. Written to demonstrate craft — not just competent completion, but genuine literary quality: specific detail, earned emotion, controlled voice, purposeful structure.
Motivation
Most LLM creative writing training data optimizes for fluency and completion rather than craft. Models learn to produce writing that reads smoothly but relies on clichés… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/creative-writing-sft-50k.Creative_Writing-ShareGPTOriginal Dataset Sources: https://huggingface.co/datasets/Gryphe/ChatGPT-4o-Writing-Prompts, https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed.
(Thank the original dataset creators for their work.) (Nopm) Claude / (Grphye) ChatGPT-4o Syntheticly generated creative writing set's combined.
Update: Used most up to date version of gryphes, chatGPT-4o set, Rejections/Slop Filtered, Min-hash Deduplication using -… See the full description on the dataset page: https://huggingface.co/datasets/ChaoticNeutrals/Creative_Writing-ShareGPT.Creative-Writing-High-Quality-1300x
Creative Writing - Part One (Shadow & Skeleton)
This dataset is designed to train Large Language Models (LLMs) in grounded creative writing by enforcing a "Think-Before-You-Write" methodology.
Methodology: Shadow & Skeleton
Most creative writing datasets train models to produce "vibes" or "cinematic descriptions" that often lack physical coherence or psychological depth. This dataset takes a different approach:
Shadow Prompts: We generated 1,000+ isomorphic… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-High-Quality-1300x.Creative_Writing_MultiturnUPDATE 2026: Stronger filtering using a very sophisticated filtering script and new data including a very small subset of https://huggingface.co/datasets/lemon07r/VellumK2T-Fiction-SFT-01 reasoning for thinking with a custom system prompt attached. This is suitable for both instruct non-thinking and thinking models, as I have added a system prompt for these few samples that use the tags <!think!> and </!think!> (without exclamation marks of course).
This is a dataset merge of many, many high… See the full description on the dataset page: https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn.Creative-Writing-Gemini3Pro-2700x
Pulitzer Diamond Prose GEMINI Seeds
This dataset contains 2745 high-quality creative writing seeds generated using Gemini 1.5 Pro.
Each entry represents a story opening designed to meet high literary standards, including internal thinking traces used during generation.
How it was made
The data was generated using a custom multi-platform generation engine. Models were prompted with a specialized "Diamond Quality" seed template that enforces strict literary… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Gemini3Pro-2700x.CREAKHome page & Original source: https://github.com/yasumasaonoe/creak
Creative-Writing-Sonnet4.6-800x
Pulitzer Diamond Prose CLAUDE Seeds
This dataset contains 833 high-quality creative writing seeds generated using Claude 4.6 Sonnet.
Each entry represents a story opening designed to meet high literary standards.
How it was made
The data was generated using a custom multi-platform generation engine. Models were prompted with a specialized "Diamond Quality" seed template that enforces strict literary requirements: extreme show-don't-tell, double-labor sentence… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Sonnet4.6-800x.Creative-Writing-Sonnet4.6-Cleaned
Creative-Writing-Sonnet4.6-Cleaned
Cleaned creative writing SFT dataset from Sonnet 4.6 (833 samples). Prompts cleaned, thinking traces preserved.
Format
Each line is a JSON object with:
messages: list of message dicts with roles (system, user, assistant)
System: writing quality instructions
User: cleaned creative writing prompt
Assistant: creative writing response (may include <think> traces)
Stats
Metric
Value
Total prompt tokens… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Sonnet4.6-Cleaned.CreativeEval
CreativeEval
Paper-grouped multidimensional research-ideation evaluation data from CreativeEval.
Contents
The release contains 1,026 complete paper rows. Each row contains a human-written research-paper introduction, the raw reviewer score arrays for provenance, and four mean prediction targets: contribution_mean, soundness_mean, presentation_mean, and overall_score_mean.
All four targets are derived from the human reviewer scores released with the paper. The raw… See the full description on the dataset page: https://huggingface.co/datasets/Samsoup/CreativeEval.Creative-Writing-Part-Two
Creative Writing - Part Two (The Nuclear Dataset)
This dataset represents the "Nuclear" layer of our creative writing training pipeline. While Part One focused on physical and psychological grounding (Shadow & Skeleton), Part Two focuses on dense literary resonance, subtext, and stylistic sophistication.
Methodology: The Nuclear Pipeline
This dataset was built using a multi-phase "Controlled Criticality" approach to ensure maximum signal density without the… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Part-Two.creditCardDetectionDS
Synthetic Credit Card Dataset
Overview
This repository contains a synthetic dataset of credit card images designed for training and validating machine learning models, specifically using the YOLOv8 object detection model. The dataset consists of 3000 items for training and 1000 items for validation and testing. Each image is 800x800 in JPG format and is accompanied by the necessary annotation files for YOLOv8 and Hugging Face.
Dataset Features
Total Items:… See the full description on the dataset page: https://huggingface.co/datasets/lambdaWalker/creditCardDetectionDS.CREBench
CREBench
CREBench is a benchmark for evaluating large language models (LLMs) on cryptographic binary reverse engineering.
Paper: arXiv:2604.03750
Code: wangyu-ovo/CREBench
Project Page: CREBench Homepage
Dataset Description
CREBench measures reverse-engineering performance on cryptographic binaries across four evaluation levels:
Level
Task
L1
Algorithm identification
L2
Key (and IV) extraction
L3
Wrapper-level code reimplementation
L4
Flag… See the full description on the dataset page: https://huggingface.co/datasets/Danny-1223/CREBench.Creative-Writing-KimiK2.5-Cleaned
Creative-Writing-KimiK2.5-Cleaned
Cleaned creative writing SFT dataset from Kimi K2.5 (655 samples). Prompts cleaned, thinking traces preserved.
Format
Each line is a JSON object with:
messages: list of message dicts with roles (system, user, assistant)
System: writing quality instructions
User: cleaned creative writing prompt
Assistant: creative writing response (may include <think> traces)
Stats
Metric
Value
Total prompt tokens
80… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-KimiK2.5-Cleaned.Creative-Writing-Qwen3.5Plus-2000x
Pulitzer Diamond Prose QWEN Seeds
This dataset contains 2638 high-quality creative writing seeds generated using Qwen 2.5 72B.
Each entry represents a story opening designed to meet high literary standards, including internal thinking traces used during generation.
How it was made
The data was generated using a custom multi-platform generation engine. Models were prompted with a specialized "Diamond Quality" seed template that enforces strict literary… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Qwen3.5Plus-2000x.Creative-Writing-Multiturn-Cleaned-16kcqa-creative-writing-expert-cot-preview
CQA: Creative Quality Alignment — Research-Grade Schema v2
English
This is a public preview of Bread Studio's post-training data derived from expert judgments about creative writing. The data is structured for inspection and reuse. The full 104-item Chinese creative-writing expert knowledge-elicitation collection is not released with this repository. This public preview contains the same 4 curated samples as v1, now represented with a more precise and traceable v2… See the full description on the dataset page: https://huggingface.co/datasets/BreadStudio/cqa-creative-writing-expert-cot-preview.creative_writing_conversationcrest
CREST: Cognitive REasoning Steering at Test‑time
TL; DR
CREST is a training-free test-time steering framework that discovers cognitive heads via simple offline calibration and then rotates activations during decoding to guide the model’s reasoning—preserving norms to avoid per-model hyperparameter tuning. This improves accuracy and reduces tokens across models and datasets.
What is CREST?
CREST (Cognitive REasoning Steering at Test-time) identifies… See the full description on the dataset page: https://huggingface.co/datasets/JulianHJR/crest.creative_writing
Dataset Card for telecomadm1145/creative_writing
Dataset Details
Dataset Description
This dataset is a small-scale instruction–response dataset focused on creative writing tasks.Each example consists of a prompt (instruction specifying writing style, perspective, tone, etc.) and a response (a story segment or novel-like output).
The dataset emphasizes:
Creative Writing (light novel style, emotional narrative, dialogue-driven, descriptive prose).… See the full description on the dataset page: https://huggingface.co/datasets/telecomadm1145/creative_writing.Creative-Writing-Reasoning-KimiK2.5-600x
Pulitzer Diamond Prose KIMI Seeds
This dataset contains 655 high-quality creative writing seeds generated using Kimi-v1.
Each entry represents a story opening designed to meet high literary standards, including internal thinking traces used during generation.
How it was made
The data was generated using a custom multi-platform generation engine. Models were prompted with a specialized "Diamond Quality" seed template that enforces strict literary requirements:… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Reasoning-KimiK2.5-600x.eq-bench-creative-writing-v3https://eqbench.com/creative_writing.html
eq-bench
Creative-Writing-Dataset
Creative Writing Dataset（クリエイティブライティングデータセット）
概要
本データセットは、Aratako/Japanese-Creative-Writing-39.6k の instruction_1 / instruction_2 をそのまま保持し、output_1 / output_2 を Kimi K2.5（Reasoning effort=high） で再生成した ロールプレイング創作データセット です。コンテンツレーティングは R15以下 に制約されています。生成にはSDG-LOOMという合成データ生成パイプラインを用いました。（sdg-loom）
データの説明
項目
内容
件数
約5,000件
形式
JSONL（1行1JSON）
言語
日本語
ターン数
1〜2ターン（instruction + 再生成output）
コンテンツレーティング
R15以下
ソースデータセット… See the full description on the dataset page: https://huggingface.co/datasets/DataPilot/Creative-Writing-Dataset.EvoEval_creativedeep-creative-writing-zh
Deep Creative Writing Dialogue Dataset (Chinese)
深度文学创作对话数据集
Dataset Description
High-quality Chinese creative writing dialogues covering novel structure, character development, narrative techniques, symbolism, and literary theory.
高质量中文文学创作对话，涵盖小说结构设计、角色塑造、叙事技巧、象征主义、文学理论等议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output: AI response
metadata:… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-creative-writing-zh.Opus-4.6-RU-Reasoning-creative-1385x-not-filtered
Opus-4.6-RU-Creative-Writing — Russian Creative Writing Reasoning Dataset
A Russian-language dataset of creative writing tasks generated with Claude claude-opus-4.6 (extended thinking enabled). Each sample contains a creative prompt, a full reasoning chain showing the creative process, and a detailed artistic response.
Dataset Info
Language: Russian 🇷🇺
Size: ~1,385 samples (growing)
Model used: anthropic/claude-opus-4.6 with reasoning: {effort: "high"}
Format:… See the full description on the dataset page: https://huggingface.co/datasets/DarkyMan/Opus-4.6-RU-Reasoning-creative-1385x-not-filtered.smoltalk-creative-writing-enPurified-openai-messages
📖 SmolTalk-Creative-Writing-enPurified-openai-messages
SmolTalk-Creative-Writing-enPurified is a highly curated, "prose-first" subset of the original collinear-ai/smoltalk-creative-writing dataset.
The enPurified collection is built on a specific philosophy: Specialization. While the ecosystem has plenty of datasets for coding (StackOverflow, StarCoder) and mathematics (GSM8K), high-quality, fluent English prose often gets diluted when mixed with syntax-heavy code or rigid math… See the full description on the dataset page: https://huggingface.co/datasets/enPurified/smoltalk-creative-writing-enPurified-openai-messages.dexfluence-indian-creator-index
Dexfluence Indian Creator Index
Verified Indian influencer dataset across Instagram, YouTube, and TikTok with engagement rates, follower tier, niche classification, and authenticity scores.
Dataset summary
141,000+ verified Indian creators indexed across Instagram, YouTube, and TikTok
Top 5,000 by follower count included in this Hugging Face mirror (CC-BY 4.0)
Each record includes: handle, name, platform, niche, follower count, engagement rate, country… See the full description on the dataset page: https://huggingface.co/datasets/Shikha180224/dexfluence-indian-creator-index.finance-Knowledge-Credit-Chinesecreate_interpret
create_interpret — results and raw data
Every artefact behind ManyaWadhwa/create_interpret:
raw generations, parsed paths, judge caches, scores, and the two analyses built on them. Code,
method and write-ups live in the GitHub repo (Task A,
Task B); this repo is the data
those documents are computed from.
Task A — how CREATE creative utility moves with model and sampling temperature, and how diverse
16 samples of one query actually are. 50 instances of wadhma/CREATE
x 16 samples… See the full description on the dataset page: https://huggingface.co/datasets/connections-dev/create_interpret.