
# Dataset Card for `argsme/2020-04-01/touche-2020-task-1`

The `argsme/2020-04-01/touche-2020-task-1` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/argsme#argsme/2020-04-01/touche-2020-task-1).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=49
 - `qrels`: (relevance assessments); count=2,298


This dataset is used by: [`argsme_2020-04-01_touche-2020-task-1_uncorrected`](https://huggingface.co/datasets/irds/argsme_2020-04-01_touche-2020-task-1_uncorrected)


## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/argsme_2020-04-01_touche-2020-task-1', 'queries')
for record in queries:
    record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/argsme_2020-04-01_touche-2020-task-1', '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

```
@inproceedings{Bondarenko2020Touche,
  address = {Berlin Heidelberg New York},
  author = {Alexander Bondarenko and Maik Fr{\"o}be and Meriem Beloucif and Lukas Gienapp and Yamen Ajjour and Alexander Panchenko and Chris Biemann and Benno Stein and Henning Wachsmuth and Martin Potthast and Matthias Hagen},
  booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 11th International Conference of the CLEF Association (CLEF 2020)},
  doi = {10.1007/978-3-030-58219-7\_26},
  editor = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo Joho and Christina Lioma and Carsten Eickhoff and Aur{\'e}lie N{\'e}v{\'e}ol and Linda Cappellato and Nicola Ferro},
  month = sep,
  pages = {384-395},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  site = {Thessaloniki, Greece},
  title = {{Overview of Touch{\'e} 2020: Argument Retrieval}},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-58219-7_26},
  volume = 12260,
  year = 2020,
}
@inproceedings{Wachsmuth2017Quality,
  author = {Henning Wachsmuth and Nona Naderi and Yufang Hou and Yonatan Bilu and Vinodkumar Prabhakaran and Tim Alberdingk Thijm and Graeme Hirst and Benno Stein},
  booktitle = {15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017)},
  editor = {Phil Blunsom and Alexander Koller and Mirella Lapata},
  month = apr,
  pages = {176-187},
  site = {Valencia, Spain},
  title = {{Computational Argumentation Quality Assessment in Natural Language}},
  url = {http://aclweb.org/anthology/E17-1017},
  year = 2017
}
```

task_categories:text-retrieval region:us
{"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`argsme/2020-04-01/touche-2020-task-1`", "viewer": false}
TAGS
#task_categories-text-retrieval #region-us 


# Dataset Card for 'argsme/2020-04-01/touche-2020-task-1'

The 'argsme/2020-04-01/touche-2020-task-1' 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=49
 - 'qrels': (relevance assessments); count=2,298


This dataset is used by: 'argsme_2020-04-01_touche-2020-task-1_uncorrected'


## 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 'argsme/2020-04-01/touche-2020-task-1'

The 'argsme/2020-04-01/touche-2020-task-1' 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=49
 - 'qrels': (relevance assessments); count=2,298


This dataset is used by: 'argsme_2020-04-01_touche-2020-task-1_uncorrected' ## 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 #region-us 
 # Dataset Card for 'argsme/2020-04-01/touche-2020-task-1'

The 'argsme/2020-04-01/touche-2020-task-1' 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=49
 - 'qrels': (relevance assessments); count=2,298


This dataset is used by: 'argsme_2020-04-01_touche-2020-task-1_uncorrected' ## 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 #region-us 
# Dataset Card for 'argsme/2020-04-01/touche-2020-task-1'

The 'argsme/2020-04-01/touche-2020-task-1' 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=49
 - 'qrels': (relevance assessments); count=2,298


This dataset is used by: 'argsme_2020-04-01_touche-2020-task-1_uncorrected'## 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.