Dataset · Hugging Face

AuroraAI-Research/NanoStories

Name: NanoStories
Creator: AuroraAI-Research
License: apache-2.0
Keywords: task_categories:text-generation, task_ids:language-modeling, language:en, license:apache-2.0, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, synthetic, rule-based, children

NanoStories NanoStories is a dataset of 50 million short, simple children's stories in English. It is intended for training and evaluating small language models. Every story is produced by a rule-based generator, not by a neural model. Dataset Summary Stories: 50,000,000 Format: Parquet, 1,000,000 stories per file (50 files) Column: text (string), one complete story per row Language: English Generation: 50M stories produced on a phone CPU in about 9.5 minutes… See the full description on the dataset page: https://huggingface.co/datasets/AuroraAI-Research/NanoStories.

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Author / organization	AuroraAI-Research
License (as declared)	apache-2.0
Downloads	0 (as reported by Hugging Face)
Likes	3
Created	23 October 2026
Last updated at source	23 October 2026

syntheticrule-basedchildrentinystoriessmall-language-models

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