code-dataset
withmartian-sft_backdoors_Gemma2-2B_code3_dataset_experiment_19.1-GGUFAlyGreo_-_finetune-Qwen2-0.5B-codeDataset-ggufrombodawg_-_test_dataset_Codellama-3-8B-ggufrombodawg-test_dataset_Codellama-3-8B-GGUFcodegen-350M-mono-custom-functions-dataset-python_v2Qwen2.5-Coder-7B-Instruct-DatasetGen-v2codegen-350M-mono-custom-functions-dataset-pythoncodegen-2B-mono-finetuned-python-18k-alpaca-full-dataset-40epochs
text-dataset-tiny-code-script-py-format
USED of tahamajs/medicine_ds_persian for .parquet file
USED of Alijafarixcs2/persian-it-llama2-2k for .parquet file
USED of Abirate/english_quotes for .jsonl file
NEW FILES (05/12/2025)
NEW FILES (12/26/2025)
NEW FILES (02/15/2026)
bangla-english-and-code-mixed-ecommerce-review-dataset
BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce
Description
The BanglishRev dataset is the largest e-commerce product review dataset to date for reviews written in Bengali, English, a mixture of both and Banglish, Bengali words written with English alphabets. The dataset comprises of 1.74 million written reviews from 3.2 million ratings information collected from a total of 128k products being sold in online… See the full description on the dataset page: https://huggingface.co/datasets/BanglishRev/bangla-english-and-code-mixed-ecommerce-review-dataset.python-code-dataset-500k
Attention: This dataset is a summary and reformat pulled from github code.
You should make your own assumptions based on this.
In fact, there is another dataset I formed through parsing that addresses several points:
out of 500k python related items, most of them are python-ish, not pythonic
the majority of the items here contain excessive licensing inclusion of original code
the items here are sometimes not even python but have references
There's a whole lot of gpl summaries… See the full description on the dataset page: https://huggingface.co/datasets/jtatman/python-code-dataset-500k.code-natural-language-classification-datasetSampling from codeparrot/github-code under more permissive license ['mit', 'apache-2.0', 'bsd-3-clause', 'bsd-2-clause', 'cc0-1.0'] + sampling from minipile.
It is intended to be used for training code natural language classifier.
code-retrieval-training-datasetcode-security-vulnerability-dataset
Code Security Vulnerability Dataset
A curated multi-language dataset of 175,419 code samples labeled with 31 vulnerability classes (30 CWEs + safe) for training multi-label code vulnerability detection models. Labels are mapped to OWASP Top 10 2021 categories.
Dataset Details
Property
Value
Total Samples
175,419
Train / Val / Test
140,335 / 17,542 / 17,542
Languages
C, C++, Python, JavaScript, Java, PHP, Go
Labels
31 (multi-label)
Format
Parquet with… See the full description on the dataset page: https://huggingface.co/datasets/ayshajavd/code-security-vulnerability-dataset.