
# Dataset Card for `lotte/science/dev/search`

The `lotte/science/dev/search` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/science/dev/search).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=538
 - `qrels`: (relevance assessments); count=1,480

 - For `docs`, use [`irds/lotte_science_dev`](https://huggingface.co/datasets/irds/lotte_science_dev)

## Usage

```python
from datasets import load_dataset

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

qrels = load_dataset('irds/lotte_science_dev_search', '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{Santhanam2021ColBERTv2,
  title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction",
  author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", 
  journal= "arXiv preprint arXiv:2112.01488",
  year = "2021",
  url = "https://arxiv.org/abs/2112.01488"
}
```

task_categories:text-retrieval source_datasets:irds/lotte_science_dev arxiv:2112.01488 region:us
{"source_datasets": ["irds/lotte_science_dev"], "task_categories": ["text-retrieval"], "pretty_name": "`lotte/science/dev/search`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/lotte_science_dev #arxiv-2112.01488 #region-us 


# Dataset Card for 'lotte/science/dev/search'

The 'lotte/science/dev/search' 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=538
 - 'qrels': (relevance assessments); count=1,480

 - For 'docs', use 'irds/lotte_science_dev'

## Usage



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.





# Dataset Card for 'lotte/science/dev/search'

The 'lotte/science/dev/search' 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=538
 - 'qrels': (relevance assessments); count=1,480

 - For 'docs', use 'irds/lotte_science_dev' ## Usage



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.
TAGS
#task_categories-text-retrieval #source_datasets-irds/lotte_science_dev #arxiv-2112.01488 #region-us 
 # Dataset Card for 'lotte/science/dev/search'

The 'lotte/science/dev/search' 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=538
 - 'qrels': (relevance assessments); count=1,480

 - For 'docs', use 'irds/lotte_science_dev' ## Usage



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.
passage: TAGS
#task_categories-text-retrieval #source_datasets-irds/lotte_science_dev #arxiv-2112.01488 #region-us 
# Dataset Card for 'lotte/science/dev/search'

The 'lotte/science/dev/search' 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=538
 - 'qrels': (relevance assessments); count=1,480

 - For 'docs', use 'irds/lotte_science_dev'## Usage



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.