datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.javanese-hotel-receptionist-qna
Dataset Card for Alpaca-Cleaned
Repository: https://huggingface.co/datasets/7out/javanese-hotel-receptionist-qna
Dataset Description
This synthetic dataset is designed for training and fine-tuning language models to handle customer service inquiries in a hotel setting using Javanese language. The data has been generated in the Alpaca format to assist in building models that can follow customer service-related instructions and generate appropriate responses. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/7out/javanese-hotel-receptionist-qna.