datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
storyweaver-writing-zh
StoryWeaver 中文写作质量评测集
12 道按写作失效模式反推设计的中文创作题、4 个参赛者写出的 48 篇章节、432 条逐维度两两判决（含裁判完整推理原文）。
来自 StoryWeaver 的写作质量评测轨道。榜单：https://storyweaver.cn/benchmark-writing.html
核心结论
接系统比换一代底模更管用。同一底模接上多 Agent 系统后的胜率：k2.5 **75.1%**、k2.6 **60.2%**；而 k2.5(系统) 对 k2.6(裸) 是 70.3%，反过来只有 37.2%——系统加持能把旧一代底模抬过裸的新一代底模。系统档拿下 22 个维度里的 20 个榜首，包括全部 9 个负向维度。
k2.5 与 k2.6 之间 54.7%，落在噪音带内，不构成结论。
题目怎么设计的
每道题咬住 rubric 里的一个维度或负向维度，用硬约束逼出功力：… See the full description on the dataset page: https://huggingface.co/datasets/godwei123/storyweaver-writing-zh.writing9-ielts-essays
writing9 IELTS Essays (with band scores)
163,575 IELTS Writing essays with their overall band and the four sub-criteria bands,
crawled from writing9.com. Intended for training/evaluating automatic
IELTS Writing scorers (band regression/classification).
Splits
Band-stratified 70/30 split, fixed for reproducibility:
split
examples
description
train
114,504
real crawled essays (training portion)
test
49,071
real crawled essays (held-out)… See the full description on the dataset page: https://huggingface.co/datasets/ndtran0101/writing9-ielts-essays.novelist-cot-writing-raw-v1
Novelist: Human-Like Creative Writing Dataset (RAW)
This dataset is designed to train LLMs in high-quality creative writing. It focuses on narrative depth, coherent world-building, and logical character psychology.
The data was generated using DeepSeek-R1.
Dataset Overview
We focused on Quality over Quantity. The goal was to move away from generic "AI slop" and create text that feels grounded and intentional.
Total Tokens: ~29.4 Million
Total Examples: 3,369
Format:… See the full description on the dataset page: https://huggingface.co/datasets/Dxniz/novelist-cot-writing-raw-v1.1k-creative-writing-8kt-fineweb-edu-sampleTotal tokens in matching entries: 5_575_157
Average tokens per entry: 5575.16
creative-writing-2048-fineweb-edu-sampleCreative Writing:
keywords:
- "creative writing"
- "storytelling"
- "roleplaying"
- "narrative structure"
- "character development"
- "worldbuilding"
- "plot devices"
- "genre fiction"
- "writing techniques"
- "literary elements"
- "RPG storytelling"
- "interactive narrative"
max_entries: 2048
min_tokens: 512
max_tokens: 2048
min_int_score: 4
Total tokens in matching entries: 2218544
Qwen3.6-35B-A3B-writingpromptscreative_writing
Creative Writing & Metrics Evaluation Dataset
Dataset Description
Each row is one human-written continuation of a creative-writing prompt, scored automatically by four LLM judges (gemini-2.0-flash, gemini-3.8-flash, gpt-4o, gpt-5.6-terra) and a set of traditional NLP metrics, and reviewed independently by multiple human raters on the same criteria.
The dataset consists of responses to creative writing prompts. Each prompt specifically contained a direction to… See the full description on the dataset page: https://huggingface.co/datasets/sigma-ai-research/creative_writing.euclaise-WritingPromptsX
WritingPromptsX Filtered Dataset
This dataset contains a filtered subset of euclaise/WritingPromptsX,
originally collected from Reddit’s r/WritingPrompts using PushShift (up to Dec 2022).
It includes the first 100 000 entries where the text length is between 1 000 and 8 000 characters. The data has been cleaned and shuffled.
It’s well-suited for creative writing, story generation, and language modeling tasks involving longer text sequences.
Data Fields
Name… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/euclaise-WritingPromptsX.Qwen3.5-9B-Writing-DPO-short-stories
Qwen3.5-9B-Writing-DPO Short Stories
This is a replication of the agentlans/llama3.1-8b-short-stories dataset using the nbeerbower/Qwen3.5-9B-Writing-DPO experimental writing model.
It shows the distinctive tone and style of the model:
Long outputs - even longer than requested in the prompt
Dense sensory details
Complex sentences with varying lengths
Very little overt action and movement ("show don't tell" taken to an extreme)
Unimaginative character names like "Elara", "Silas"… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/Qwen3.5-9B-Writing-DPO-short-stories.