Update config

README.md

@@ -39,7 +39,7 @@ This dataset repo contains only the queries and relevance judgements. The corpus
    ```
    ciral_dataset = load_dataset("ciral/ciral", "hausa") #or swahili, somali, yoruba
 
-   for data in ciral_data['dev']:  # or 'testA' or 'testB'
+   for data in ciral_dataset['dev']:  # or 'testA' or 'testB'
       query_id = data['query_id']
       query = data['query']
       pos_qrels = data['positive_passages']

ciral.py

@@ -108,6 +108,15 @@ class CIRAL(datasets.GeneratorBasedBuilder):
                     'text': datasets.Value("string"),
                 }],
                 "negative_passages": [{
+                    "docid": datasets.Value("string"),
+                    "text": datasets.Value("string")
+                }],
+        
+                "pools_positive_passages": [{
+                    'docid': datasets.Value("string"),
+                    'text': datasets.Value("string"),
+                }],
+                "pools_negative_passages": [{
                     "docid": datasets.Value("string"),
                     "text": datasets.Value("string")}]
             }
@@ -144,7 +153,7 @@ class CIRAL(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name='testB',
                 gen_kwargs={
-                    'filepaths': downloaded_files['testA'],
+                    'filepaths': downloaded_files['testB'],
                 },
             ),
         ]
@@ -152,7 +161,7 @@ class CIRAL(datasets.GeneratorBasedBuilder):
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepaths):
         lang = self.config.name
-        corpus = datasets.load_dataset('ciral/ciral-corpus', lang)
+        corpus = datasets.load_dataset('ciral/ciral-corpus', lang)['train']
         docid2doc = {doc['docid']: doc['text'] for doc in corpus}
 
         query_file, qrel_file, pools_file = (filepaths) if len(filepaths) == 3 else (filepaths[0], filepaths[1], None)