Upload miracl.py

miracl.py

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+"""MIRACL reranking dataset for multiple languages"""
+import json
+from typing import List, Dict
+
+import datasets
+from datasets import DatasetInfo
+
+_DESCRIPTION = """
+MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual 
+retrieval dataset that focuses on search across 18 different languages.
+"""
+
+_HOMEPAGE_URL = 'https://project-miracl.github.io/'
+_LANGUAGES = ['es', 'de']
+_VERSION = '1.0.0'
+_URL = 'https://huggingface.co/datasets/jinaai/miracl/resolve/main/'
+_URLS = {
+    lang: _URL + f"{lang}-test.jsonl.gz" for lang in _LANGUAGES
+}
+
+
+class MIRACL(datasets.GeneratorBasedBuilder):
+    def _info(self) -> DatasetInfo:
+        features = datasets.Features(
+            query=datasets.Value("string"),
+            positive=datasets.Sequence(datasets.Value("string")),
+            negative=datasets.Sequence(datasets.Value("string")),
+        )
+        return datasets.DatasetInfo(
+            features=features,
+            # Add any additional metadata about your dataset here
+        )
+    BUILDER_CONFIGS = [datasets.BuilderConfig(
+            version=datasets.Version('1.0.0'),
+            name=lang, description=f'MIRACL dataset in language {lang}.'
+        ) for lang in _LANGUAGES
+    ]
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        # Use the configuration name to select the language
+        selected_lang = self.config.name
+        if selected_lang not in _URLS:
+            raise ValueError(f"Requested language '{selected_lang}' not found in the dataset.")
+
+        file_path = dl_manager.download_and_extract(_URLS[selected_lang])
+        return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": file_path})]
+
+    def _generate_examples(self, filepath: str) -> Dict[str, str]:
+        # Load and yield examples from the jsonl file
+        with open(filepath, encoding="utf-8") as f:
+            for i, line in enumerate(f):
+                # Parse the JSONL lines and yield examples
+                json_line = json.loads(line)
+                example = {
+                    "query": json_line["query"],
+                    "positive": json_line["positive"],
+                    "negative": json_line["negative"],
+                }
+                yield str(i), example