kwang2049 -> UKPLab

README.md

@@ -183,7 +183,7 @@ One can load the passages like this:
 from datasets import load_dataset
 
 dataset_name = "ConditionalQA"
-passages = load_dataset("kwang2049/dapr", f"{dataset_name}-corpus", split="test")
+passages = load_dataset("UKPLab/dapr", f"{dataset_name}-corpus", split="test")
 for passage in passages:
     passage["_id"]  # passage id
     passage["text"]  # passage text
@@ -200,7 +200,7 @@ from datasets import load_dataset
 
 dataset_name = "ConditionalQA"
 passages = load_dataset(
-    "kwang2049/dapr", f"{dataset_name}-corpus", split="test", streaming=True
+    "UKPLab/dapr", f"{dataset_name}-corpus", split="test", streaming=True
 )
 for passage in passages:
     passage["_id"]  # passage id
@@ -218,7 +218,7 @@ The qrels split contains the query relevance annotation, i.e., it contains the r
 from datasets import load_dataset
 
 dataset_name = "ConditionalQA"
-qrels = load_dataset("kwang2049/dapr", f"{dataset_name}-qrels", split="test")
+qrels = load_dataset("UKPLab/dapr", f"{dataset_name}-qrels", split="test")
 for qrel in qrels:
     qrel["query_id"]  # query id (the text is available in ConditionalQA-queries)
     qrel["corpus_id"]  # passage id
@@ -229,7 +229,7 @@ We present the NQ-hard dataset in an extended format of the normal qrels with ad
 ```python
 from datasets import load_dataset
 
-qrels = load_dataset("kwang2049/dapr", "nq-hard", split="test")
+qrels = load_dataset("UKPLab/dapr", "nq-hard", split="test")
 for qrel in qrels:
     qrel["query_id"]  # query id (the text is available in ConditionalQA-queries)
     qrel["corpus_id"]  # passage id
@@ -277,9 +277,9 @@ class DRAGONPlus(Retriever):
 
 
 # Load data:
-passages = load_dataset("kwang2049/dapr", "ConditionalQA-corpus", split="test")
-queries = load_dataset("kwang2049/dapr", "ConditionalQA-queries", split="test")
-qrels_rows = load_dataset("kwang2049/dapr", "ConditionalQA-qrels", split="test")
+passages = load_dataset("UKPLab/dapr", "ConditionalQA-corpus", split="test")
+queries = load_dataset("UKPLab/dapr", "ConditionalQA-queries", split="test")
+qrels_rows = load_dataset("UKPLab/dapr", "ConditionalQA-qrels", split="test")
 qrels: Dict[str, Dict[str, float]] = {}
 for qrel_row in qrels_rows:
     qid = qrel_row["query_id"]