datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.cornstack-java-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-java-v1.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_evaluation_benchmarksJava-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/thedruid831/JavaScript-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/liuhangbiao/JavaScript-Code-Large.cornstack-javascript-v1
CoRNStack Javascript 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… See the full description on the dataset page: https://huggingface.co/datasets/nomic-ai/cornstack-javascript-v1.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.ClimateFund
ClimateFund: An Annotated Dataset of Climate Mitigation Projects for Supporting Question Answering
This repository contains a dataset based on funding proposals of 21 climate mitigation projects, submitted to the Green Climate Fund (GCF).
Climate mitigation documentation is challenging to parse and understand, due to the length of this documents, their multi-modality (commonly comprising tables, figures and
free text), and their highly technical and domain-specific content.… See the full description on the dataset page: https://huggingface.co/datasets/JavierSanzCruza/ClimateFund.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.java-decompiler
java-decompiler
This dataset contains Java source files and corresponding decompiled bytecode,
suitable for training or evaluating decompilation and code understanding models.
The Java files were extracted from public GitHub repositories indexed in Google BigQuery’s GitHub dataset.
Files were selected with the following filters:
Only single-class files were retained.
Only files importing java.* libraries (i.e., no third-party dependencies).
Each file was compilable with minimal… See the full description on the dataset page: https://huggingface.co/datasets/BradMcDanel/java-decompiler.Text-Code-concode-Java
Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/text-to-code/concode in Semeru
CodeXGLUE -- Text2Code Generation
Here are the dataset and pipeline for text-to-code generation task.
Task Definition
Generate source code of class member functions in Java, given natural language description and class environment. Class environment is the… See the full description on the dataset page: https://huggingface.co/datasets/semeru/Text-Code-concode-Java.uzbek-legal-corpus
Uzbek Legal Corpus (Oʻzbek huquqiy korpusi)
25 cleaned, audited, machine-readable texts of the Republic of Uzbekistan's Constitution, 20 codes, and 4 major laws — in Uzbek (Latin script), sourced from the official National Database of Legislation (lex.uz). Snapshot: July 2026. 7,368 articles.
Built for NLP / LLM / RAG work on Uzbek legal text. Released by Tomaris AI.
Contents
Path
What it is
data/raw/*.txt
Cleaned plain text, one file per code/law… See the full description on the dataset page: https://huggingface.co/datasets/javohirmat/uzbek-legal-corpus.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.code-text-java
Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/java in Semeru
CodeXGLUE -- Code-To-Text
Task Definition
The task is to generate natural language comments for a code, and evaluted by smoothed bleu-4 score.
Dataset
The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
Remove… See the full description on the dataset page: https://huggingface.co/datasets/semeru/code-text-java.code-text-javascript
Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/javascript in Semeru
CodeXGLUE -- Code-To-Text
Task Definition
The task is to generate natural language comments for a code, and evaluted by smoothed bleu-4 score.
Dataset
The dataset we use comes from CodeSearchNet and we filter the dataset as the following:… See the full description on the dataset page: https://huggingface.co/datasets/semeru/code-text-javascript.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.avatar_after_javaEvalRepair-Java
Dataset Summary
EvalRepair-Java is a benchmark for evaluating Java program repair performance, derived from HumanEval. It contains 163 single-function repair tasks, each with a buggy implementation and its corresponding fixed version.
Supported Tasks
Program Repair: Fixing bugs in Java functions
Code Generation: Generating correct implementations from buggy code
Dataset Structure
Each row contains:
task_id: Unique identifier for the task (same as HumanEval)… See the full description on the dataset page: https://huggingface.co/datasets/barty/EvalRepair-Java.ja-vg-vqa-conversation
Dataset Card for ja-vg-vqa-conversation
Dataset details
This dataset consists of multiple QA pairs from Japanese Visual Genome VQA dataset that have been converted into multi-turn conversations.
The prompt 語句または短い文で答えてください。 has been appended to the questions in the first turn.
We excluded the samples from the JA-VG-VQA-500 dataset, resulting in a total of 98,708 samples.
License
Creative Commons Attribution 4.0 License
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.adaption-java-core-qa-pairs-v1
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-java_core_qa_pairs
This dataset consists of question-and-answer pairs focused on core Java programming concepts, including data structures, memory management, and object-oriented principles. Each sample features a specific technical prompt followed by a concise, accurate explanation suitable for educational or testing purposes. The content covers topics such as polymorphism… See the full description on the dataset page: https://huggingface.co/datasets/nupursaraswat/adaption-java-core-qa-pairs-v1.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.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.