Update README.md

README.md

@@ -67,6 +67,9 @@ dataset_info:
 
 # Dataset Card for BEIR Benchmark
 
+> **`arguana` is one of the datasets from the Argument Retrieval task within BEIR, evaluating retrieving counterarguments for a given argument as query.**
+> **NOTE: ArguAna has queries also incorporated within the corpus, so you should remove the same query_id if present within corpus during inference (implemented in BEIR)**
+
 ## Dataset Description
 
 - **Homepage:** https://beir.ai
@@ -89,8 +92,6 @@ BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9
 - Tweet Retrieval: [Signal-1M](https://research.signal-ai.com/datasets/signal1m-tweetir.html)
 - Entity Retrieval: [DBPedia](https://github.com/iai-group/DBpedia-Entity/)
 
-> **This `arguana` subset is the Argument Retrieval task within BEIR.**
-
 ### Languages
 
 All tasks are in English (`en`).
@@ -142,7 +143,7 @@ qrels = {
 }
 ```
 
-### NFCorpus Data Splits
+### ArguAna Data Splits
 
 | Subset | Split | Rows |
 | --- | --- | ---: |