Dataset · Hugging Face

nampdn-ai/tiny-codes

Name: tiny-codes
Creator: nampdn-ai
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2306.11644, arxiv:2305.07759, doi:10.57967/hf/0937, region:us

Reasoning with Language and Code This synthetic dataset is a collection of 1.6 millions short and clear code snippets that can help LLM models learn how to reason with both natural and programming languages. The dataset covers a wide range of programming languages, such as Python, TypeScript, JavaScript, Ruby, Julia, Rust, C++, Bash, Java, C#, and Go. It also includes two database languages: Cypher (for graph databases) and SQL (for relational databases) in order to study the… See the full description on the dataset page: https://huggingface.co/datasets/nampdn-ai/tiny-codes.

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Author / organization	nampdn-ai
License (as declared)	mit
Downloads	857 (as reported by Hugging Face)
Likes	306
Created	16 July 2023
Last updated at source	30 September 2023

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IvmeLabs/Ivme-Conversate-N-v1-BaseModel · used to train
daekeun-ml/phi-2-ko-v0.1Model · used to train

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