irds/codesearchnet_train

Dataset Card for codesearchnet/train

The codesearchnet/train dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• queries (i.e., topics); count=1,880,853

• qrels: (relevance assessments); count=1,880,853

• For docs, use irds/codesearchnet

Usage

from datasets import load_dataset

queries = load_dataset('irds/codesearchnet_train', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/codesearchnet_train', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information

@article{Husain2019CodeSearchNet,
  title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search},
  author={Hamel Husain and Ho-Hsiang Wu and Tiferet Gazit and Miltiadis Allamanis and Marc Brockschmidt},
  journal={ArXiv},
  year={2019}
}