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01Scoolar /codesearchnet-challenge-extended CodeSearchNet Challenge, extended: every search over every function The CodeSearchNet Challenge (Husain et al., 2019) has 99 natural-language code searches, and experts rated a few candidate functions for each. This dataset treats every rated function of a language as one codebase and searches all of it: for each search, every function in its language is a candidate. The experts' ratings are kept, and the pairs they never rated but a search tool returned were rated on the same… See the full description on the dataset page: https://huggingface.co/datasets/Scoolar/codesearchnet-challenge-extended.tabulartext-retrieval10K<n<100K0 likes50 downloads9d agoHugging Face02hasankursun /codesearchnet-hard-negatives CodeSearchNet Hard Negatives (Filtered) by Lumees AI Dataset Summary This dataset is a processed version of the CodeSearchNet dataset, enhanced with Hard Negative Mining to facilitate the training of state-of-the-art code retrieval models. It was created by Lumees AI to improve the ability of embedding models to distinguish between syntactically similar but functionally different code snippets. Developer: Lumees AI Authors: Hasan Kurşun, Kerem Berkay Yanık… See the full description on the dataset page: https://huggingface.co/datasets/hasankursun/codesearchnet-hard-negatives.textsentence-similarity100K<n<1M3 likes47 downloads10mo agoHugging Face03gonglinyuan /code_search_net_python_tokenizedtext100K<n<1M2 likes31 downloads3y agoHugging Face04gonglinyuan /code_search_net_java_tokenizedtext100K<n<1M0 likes11 downloads3y agoHugging Face05Makoveli89 /code-search-net-code_search_net code-search-net/code_search_net This repository documents a dataset used by the Mothership project. By default data is not mirrored here. Primary source: https://huggingface.co/datasets/code-search-net/code_search_net Local cache (if present during publishing): C:\Users\Sean Smith\Documents\Scraps\Knowledge\Mothership\library\datasets\code-search-net\code_search_net Revision pin: none To reproduce locally, use the project's downloader: python scripts/download_datasets.py --include… See the full description on the dataset page: https://huggingface.co/datasets/Makoveli89/code-search-net-code_search_net.textn<1K0 likes6 downloads1y agoHugging Face

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