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python

iamtarun /python_code_instructions_18k_alpaca Dataset Card for python_code_instructions_18k_alpaca The dataset contains problem descriptions and code in python language. This dataset is taken from sahil2801/code_instructions_120k, which adds a prompt column in alpaca style. Refer to the source here. textquestion-answering10K<n<100K349 likes37k downloads3y agoHugging Facenomic-ai /cornstack-python-v1 CoRNStack Python Dataset The CoRNStack Dataset, accepted to ICLR 2025, is a large-scale high quality training dataset specifically for code retrieval across multiple programming languages. This dataset comprises of <query, positive, negative> triplets used to train nomic-embed-code, CodeRankEmbed, and CodeRankLLM. CoRNStack Dataset Curation Starting with the deduplicated Stackv2, we create text-code pairs from function docstrings and respective code. We filtered out… See the full description on the dataset page: https://huggingface.co/datasets/nomic-ai/cornstack-python-v1.text10M<n<100M28 likes26k downloads1y agoHugging Faceprima02 /SWE-smith-pythontext10K<n<100K0 likes16k downloads10mo agoHugging Facemodel-metadata /code_python_files0 likes13k downloads7mo agoHugging Faceflytech /python-codes-25k License MIT This is a Cleaned Python Dataset Covering 25,000 Instructional Tasks Overview The dataset has 4 key features (fields): instruction, input, output, and text.It's a rich source for Python codes, tasks, and extends into behavioral aspects. Dataset Statistics Total Entries: 24,813 Unique Instructions: 24,580 Unique Inputs: 3,666 Unique Outputs: 24,581 Unique Texts: 24,813 Average Tokens per example: 508 Features… See the full description on the dataset page: https://huggingface.co/datasets/flytech/python-codes-25k.texttext-classification10K<n<100K182 likes8.9k downloads2y agoHugging Facemlabonne /Evol-Instruct-Python-26k Evol-Instruct-Python-26k Filtered version of the nickrosh/Evol-Instruct-Code-80k-v1 dataset that only keeps Python code (26,588 samples). You can find a smaller version of it here mlabonne/Evol-Instruct-Python-1k. Here is the distribution of the number of tokens in each row (instruction + output) using Llama's tokenizer: text10K<n<100K15 likes8.7k downloads3y agoHugging Face

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