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duoduoyeah/TinyStories

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Hugging Face2026-01-05 更新2026-03-29 收录
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--- license: cdla-sharing-1.0 task_categories: - text-generation language: - en --- Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary. Described in the following paper: https://arxiv.org/abs/2305.07759. The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation loss). These models can be found on Huggingface, at roneneldan/TinyStories-1M/3M/8M/28M/33M/1Layer-21M. Additional resources: tinystories_all_data.tar.gz - contains a superset of the stories together with metadata and the prompt that was used to create each story. TinyStoriesV2-GPT4-train.txt - Is a new version of the dataset that is based on generations by GPT-4 only (the original dataset also has generations by GPT-3.5 which are of lesser quality). It contains all the examples in TinyStories.txt which were GPT-4 generated as a subset (but is significantly larger). Evaluation_prompts.yaml: List of prompts used to evaluate our models (see paper)

许可证:cdla-sharing-1.0 任务类别:文本生成 语言:英语 本数据集包含由GPT-3.5与GPT-4合成生成的短篇故事,所有故事均基于小词汇表创作。 该数据集的详细说明可参阅以下论文:https://arxiv.org/abs/2305.07759. 论文中提及的模型均以TinyStories-train.txt作为训练集(可使用tinystories-valid.txt文件计算验证损失)。上述模型可在Huggingface平台的roneneldan/TinyStories-1M/3M/8M/28M/33M/1Layer-21M仓库中获取。 附加资源: tinystories_all_data.tar.gz:包含该数据集故事的超集,同时附带元数据以及用于生成每篇故事的提示词(prompt)。 TinyStoriesV2-GPT4-train.txt:本数据集的全新版本,仅基于GPT-4生成的故事构建(原始数据集同时包含GPT-3.5生成的内容,其质量相对较低)。该版本包含原始数据集中所有由GPT-4生成的样本作为其子集,但整体规模显著更大。 Evaluation_prompts.yaml:用于评估模型的提示词列表,详细说明可参阅论文。
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