Datasetpublic

ASSERT-KTH/repairllama-datasets

RepairLLaMA - Datasets Contains the processed fine-tuning datasets for RepairLLaMA. Instructions to explore the dataset To load the dataset, you must define which revision (i.e., which input/output representation pair) you want to load. from datasets import load_dataset # Load ir1xor1 dataset = load_dataset("ASSERT-KTH/repairllama-datasets", "ir1xor1") # Load irXxorY dataset = load_dataset("ASSERT-KTH/repairllama-datasets", "irXxorY") Citation If… See the full description on the dataset page: https://huggingface.co/datasets/ASSERT-KTH/repairllama-datasets.

sourceHugging Faceupdated 2y agoView on Hugging Face

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RepairLLaMA - Datasets

Contains the processed fine-tuning datasets for RepairLLaMA.

Instructions to explore the dataset

To load the dataset, you must define which revision (i.e., which input/output representation pair) you want to load.

python

from datasets import load_dataset

# Load ir1xor1
dataset = load_dataset("ASSERT-KTH/repairllama-datasets", "ir1xor1")
# Load irXxorY
dataset = load_dataset("ASSERT-KTH/repairllama-datasets", "irXxorY")

Citation

If you use RepairLLaMA in academic research, please cite "RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair", Technical report, arXiv 2312.15698, 2023.

bibtex

@techreport{repairllama2023,
  title={RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair},
  author={Silva, Andr{\'e} and Fang, Sen and Monperrus, Martin},
  url = {http://arxiv.org/abs/2312.15698},
  number = {2312.15698},
  institution = {arXiv},
}