commit files to HF hub

README.md

@@ -1,27 +1,45 @@
 ---
 pretty_name: '`beir/arguana`'
 viewer: false
+source_datasets: []
+task_categories:
+- text-retrieval
 ---
 
 # Dataset Card for `beir/arguana`
 
-The `beir/arguana` IR dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
+The `beir/arguana` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
+For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/arguana).
 
-This dataset provides:
- - `docs` (documents, i.e., the corpus)
- - `queries` (i.e., topics)
- - `qrels`: (relevance assessments)
+# Data
 
+This dataset provides:
+ - `docs` (documents, i.e., the corpus); count=8,674
+ - `queries` (i.e., topics); count=1,406
+ - `qrels`: (relevance assessments); count=1,406
 
-Find more information about the dataset [here](https://ir-datasets.com/{dsid.split('/')[0]}#{dsid}).
 
 ## Usage
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset({repr("irds/"+hgf_id)})
+
+docs = load_dataset('irds/beir_arguana', 'docs')
+for record in docs:
+    record # {'doc_id': ..., 'text': ..., 'title': ...}
+
+queries = load_dataset('irds/beir_arguana', 'queries')
+for record in queries:
+    record # {'query_id': ..., 'text': ...}
+
+qrels = load_dataset('irds/beir_arguana', '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
 

beir_arguana.py

@@ -16,7 +16,6 @@ _DESCRIPTION = "" # TODO
 
 class beir_arguana(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [datasets.BuilderConfig(name=e) for e in IRDS_ENTITY_TYPES]
-    DEFAULT_CONFIG_NAME = list(IRDS_ENTITY_TYPES)[0]
 
     def _info(self):
         return datasets.DatasetInfo(