datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
JavaScript-Code-LargeJavaScript-Code-Large
JavaScript-Code-Large is a large-scale corpus of JavaScript source code comprising around 5 million JavaScript files. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the JavaScript ecosystem.
By providing a high-volume, language-specific corpus, JavaScript-Code-Large enables systematic experimentation in JavaScript-focused model training, domain adaptation… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/JavaScript-Code-Large.Java-Code-Large-text-onlyJava-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.… See the full description on the dataset page: https://huggingface.co/datasets/XEUIPR/Java-Code-Large-text-only.Java-Code-LargeJava-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Java-Code-Large.Java-codeJavaScript-Code-LargeJavaScript-Code-Large
JavaScript-Code-Large is a large-scale corpus of JavaScript source code comprising around 5 million JavaScript files. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the JavaScript ecosystem.
By providing a high-volume, language-specific corpus, JavaScript-Code-Large enables systematic experimentation in JavaScript-focused model training, domain adaptation… See the full description on the dataset page: https://huggingface.co/datasets/thedruid831/JavaScript-Code-Large.Java-Code-LargeJava-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.… See the full description on the dataset page: https://huggingface.co/datasets/marcelo1234/Java-Code-Large.JavaScript-Code-LargeJavaScript-Code-Large
JavaScript-Code-Large is a large-scale corpus of JavaScript source code comprising around 5 million JavaScript files. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the JavaScript ecosystem.
By providing a high-volume, language-specific corpus, JavaScript-Code-Large enables systematic experimentation in JavaScript-focused model training, domain adaptation… See the full description on the dataset page: https://huggingface.co/datasets/liuhangbiao/JavaScript-Code-Large.JavaScript-Code-LargeJavaScript-Code-Large
JavaScript-Code-Large is a large-scale corpus of JavaScript source code comprising around 5 million JavaScript files. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the JavaScript ecosystem.
By providing a high-volume, language-specific corpus, JavaScript-Code-Large enables systematic experimentation in JavaScript-focused model training, domain adaptation… See the full description on the dataset page: https://huggingface.co/datasets/Ujjwal-Tyagi/JavaScript-Code-Large.Java-Code-LargeJava-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.… See the full description on the dataset page: https://huggingface.co/datasets/Ujjwal-Tyagi/Java-Code-Large.JavaError-QA
JErrRAG-Eval-800
JErrRAG-Eval-800 is the public benchmark release aligned with the paper's final canonical dataset and non-anonymous archival record.
This Hugging Face repository contains:
java_error_qa_v2/: the canonical public benchmark package
paper_online_artifacts/: the paper-facing supplementary artifacts and reproduction bundles
SHA256SUMS.txt: release-side hash anchors referenced by the paper
Dataset Summary
Total records: 800
Split sizes: train=639… See the full description on the dataset page: https://huggingface.co/datasets/HTJ008/JavaError-QA.approvaltests-java-sessions
Coding agent session traces for LarsEckart/approvaltests-java-sessions
This dataset contains redacted coding agent session traces collected while working on git@github.com:approvals/ApprovalTests.Java.git. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where… See the full description on the dataset page: https://huggingface.co/datasets/LarsEckart/approvaltests-java-sessions.Java-Code-LargeJava-Code-Large
Java-Code-Large is a large-scale corpus of publicly available Java source code comprising more than 15 million java codes. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis.
By providing a high-volume, language-specific corpus, Java-Code-Large enables systematic experimentation in Java-focused model training, domain adaptation, and downstream code understanding tasks.… See the full description on the dataset page: https://huggingface.co/datasets/Ayan987/Java-Code-Large.Java_method2test_chatml
Java Method to Test ChatML
This dataset is based on the methods2test dataset from Microsoft. It follows the ChatML template format: [{'role': '', 'content': ''}, {...}].
Originally, methods2test contains only Java methods at different levels of granularity along with their corresponding test cases. The different focal method segmentations are illustrated here:
To simulate a conversation between a Java developer and an AI assistant, I introduce two key parameters:
The prompt… See the full description on the dataset page: https://huggingface.co/datasets/random-long-int/Java_method2test_chatml.llama3.2-java-codegen-90sft-10meta-claude-v1
LLaMA 3.2 Java Code Generation Dataset (90% SFT, 10% Meta Annotated with Claude)
This dataset contains 100,000 examples for Java method generation based on natural language instructions. It is built from the CodeXGLUE text-to-code dataset and designed to support both pure supervised fine-tuning (SFT) and reflection-based meta-learning approaches using Claude 4 Sonnet as the critique model.
🚀 Trained Models
Two models have been trained on this dataset:
SFT Model:… See the full description on the dataset page: https://huggingface.co/datasets/Naholav/llama3.2-java-codegen-90sft-10meta-claude-v1.axay-javascript-dataset-pn
DPO JavaScript Dataset
This repository contains a modified version of the JavaScript dataset originally sourced from axay/javascript-dataset-pn. The dataset has been adapted to fit the DPO (Dynamic Programming Object) format, making it compatible with the LLaMA-Factory project.
License
This dataset is licensed under the Apache 2.0 License.
Dataset Overview
The dataset consists of JavaScript code snippets that have been restructured and enhanced for use in… See the full description on the dataset page: https://huggingface.co/datasets/israellaguan/axay-javascript-dataset-pn.XCodeEval-Java-Datasetjava_code_instructions_1.178k_alpacaInstruction set for text to java code generation. This is the subset of concode dataset.
java_optimisation
Java Optimisation Dataset
📌 Overview
The Java Optimisation Dataset is a curated collection of paired Java code snippets designed for training and evaluating machine learning models on code optimization and refactoring tasks.
Each example consists of:
Input: Unoptimized or verbose Java code
Output: Optimized, cleaner, or more efficient equivalent code
This dataset is intended for training sequence-to-sequence models such as CodeT5 for automated code improvement.… See the full description on the dataset page: https://huggingface.co/datasets/nlpctx/java_optimisation.javanese-multilingual-lexicon
Javanese Multilingual Lexicon
A multilingual lexicon dataset of 202,912 entries derived from Sastra.org, a digital archive of Javanese literary heritage maintained by Yayasan Sastra Lestari.
The dataset compiles 32 historical lexicographic sources spanning from the 1830s to 2010, covering Javanese, Old Javanese (Kawi), Indonesian, Dutch, English, and French.
Dataset Structure
The dataset is provided as JSONL files. The full corpus is in data/leksikon_all.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/junwatu/javanese-multilingual-lexicon.eidas
eIDAS Terminology Dataset
Dataset Description
Overview
The EiDAS Terminology dataset is a comprehensive collection of terms and abbreviations related to electronic identification and trust services for electronic transactions in the European Single Market (eIDAS). This dataset provides clear definitions and explanations of various terms, making it an essential resource for researchers and practitioners in digital identity and security.
Languages
The… See the full description on the dataset page: https://huggingface.co/datasets/javatask/eidas.
