data loading script

miracl.py

@@ -23,24 +23,32 @@ from dataclasses import dataclass
 _CITATION = '''
 '''
 
-languages = ['ar', 'bn', 'en', 'es', 'fa', 'fi', 'fr', 'hi', 'id', 'ja', 'ko', 'ru', 'sw', 'te', 'th', 'zh']
-new_languages = ['es', 'fa', 'fr', 'hi', 'zh']
-non_surprise_languages = languages
+surprise_languages = ['de', 'yo']
+new_languages = ['es', 'fa', 'fr', 'hi', 'zh'] + surprise_languages
+languages = ['ar', 'bn', 'en', 'es', 'fa', 'fi', 'fr', 'hi', 'id', 'ja', 'ko', 'ru', 'sw', 'te', 'th', 'zh'] + surprise_languages
 
 _DESCRIPTION = 'dataset load script for MIRACL'
 
 _DATASET_URLS = {
     lang: {
-        'train': [
-            f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/topics/topics.miracl-v1.0-{lang}-train.tsv',
-            f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/qrels/qrels.miracl-v1.0-{lang}-train.tsv',
-        ],
         'dev': [
             f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/topics/topics.miracl-v1.0-{lang}-dev.tsv',
             f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/qrels/qrels.miracl-v1.0-{lang}-dev.tsv',
         ],
+        'testB': [
+            f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/topics/topics.miracl-v1.0-{lang}-test-b.tsv',
+        ],
     } for lang in languages
 }
+for lang in languages:
+    if lang in surprise_languages:
+        continue
+    _DATASET_URLS[lang]['train'] = [
+            f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/topics/topics.miracl-v1.0-{lang}-train.tsv',
+            f'https://huggingface.co/datasets/miracl/miracl/resolve/main/miracl-v1.0-{lang}/qrels/qrels.miracl-v1.0-{lang}-train.tsv',
+        ],
+
+
 for lang in languages:
     if lang in new_languages:
         continue
@@ -111,18 +119,27 @@ class MIRACL(datasets.GeneratorBasedBuilder):
 
         splits = [
             datasets.SplitGenerator(
-                name='train',
+                name='dev',
                 gen_kwargs={
-                    'filepaths': downloaded_files['train'],
+                    'filepaths': downloaded_files['dev'],
                 },
             ),
             datasets.SplitGenerator(
-                name='dev',
+                name='testB',
                 gen_kwargs={
-                    'filepaths': downloaded_files['dev'],
+                    'filepaths': downloaded_files['testB'],
                 },
             ),
+
         ]
+        if lang not in surprise_languages:
+            splits.append(datasets.SplitGenerator(
+                name='train',
+                gen_kwargs={
+                    'filepaths': downloaded_files['train'],
+                },
+            ))
+
         if lang not in new_languages:
             splits.append(datasets.SplitGenerator(
                 name='testA',