
# Dataset Card for `trec-cast/v1/2020/judged`

The `trec-cast/v1/2020/judged` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-cast#trec-cast/v1/2020/judged).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=208

 - For `docs`, use [`irds/trec-cast_v1`](https://huggingface.co/datasets/irds/trec-cast_v1)
 - For `qrels`, use [`irds/trec-cast_v1_2020`](https://huggingface.co/datasets/irds/trec-cast_v1_2020)

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/trec-cast_v1_2020_judged', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

```

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

```
@inproceedings{Dalton2020Cast,
  title={CAsT 2020: The Conversational Assistance Track Overview},
  author={Jeffrey Dalton and Chenyan Xiong and Jamie Callan},
  booktitle={TREC},
  year={2020}
}
```

task_categories:text-retrieval source_datasets:irds/trec-cast_v1 source_datasets:irds/trec-cast_v1_2020 region:us
{"source_datasets": ["irds/trec-cast_v1", "irds/trec-cast_v1_2020"], "task_categories": ["text-retrieval"], "pretty_name": "`trec-cast/v1/2020/judged`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us 


# Dataset Card for 'trec-cast/v1/2020/judged'

The 'trec-cast/v1/2020/judged' 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=208

 - For 'docs', use 'irds/trec-cast_v1'
 - For 'qrels', use 'irds/trec-cast_v1_2020'

## 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 'trec-cast/v1/2020/judged'

The 'trec-cast/v1/2020/judged' 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=208

 - For 'docs', use 'irds/trec-cast_v1'
 - For 'qrels', use 'irds/trec-cast_v1_2020' ## 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/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us 
 # Dataset Card for 'trec-cast/v1/2020/judged'

The 'trec-cast/v1/2020/judged' 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=208

 - For 'docs', use 'irds/trec-cast_v1'
 - For 'qrels', use 'irds/trec-cast_v1_2020' ## 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/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us 
# Dataset Card for 'trec-cast/v1/2020/judged'

The 'trec-cast/v1/2020/judged' 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=208

 - For 'docs', use 'irds/trec-cast_v1'
 - For 'qrels', use 'irds/trec-cast_v1_2020'## 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.