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---
pretty_name: '`codesearchnet/challenge`'
viewer: false
source_datasets: ['irds/codesearchnet']
task_categories:
- text-retrieval
---
# Dataset Card for `codesearchnet/challenge`
The `codesearchnet/challenge` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/codesearchnet#codesearchnet/challenge).
# Data
This dataset provides:
- `queries` (i.e., topics); count=99
- `qrels`: (relevance assessments); count=4,006
- For `docs`, use [`irds/codesearchnet`](https://huggingface.co/datasets/irds/codesearchnet)
## Usage
```python
from datasets import load_dataset
queries = load_dataset('irds/codesearchnet_challenge', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
qrels = load_dataset('irds/codesearchnet_challenge', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'note': ...}
```
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}
}
```
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