Create stsb_multi_mt_extend.py

stsb_multi_mt_extend.py

@@ -0,0 +1,82 @@
+# coding=utf-8
+
+"""STS Benchmark Multilingual dataset"""
+
+import json
+import os
+import gzip
+
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """\
+        STS Benchmark Multilingual dataset by deepl and google (only ar)
+"""
+
+_LANGUAGES = ["de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru", "zh"]
+
+_NEW_LANGUAGES = ['ar', 'id']
+
+
+class STSBMultilingual(datasets.GeneratorBasedBuilder):
+    """STS Benchmark Multilingual"""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=name,
+            version=datasets.Version("1.0.0"),
+            description=f"The STS Benchmark for {name} language{'' if name == 'en' else ' by deepl'}.",
+        )
+        for name in _LANGUAGES
+    ] + [
+        datasets.BuilderConfig(
+            name='id',
+            version=datasets.Version("1.0.0"),
+            description=f"The STS Benchmark for id language by deepl.",
+        ),
+        datasets.BuilderConfig(
+            name='ar',
+            version=datasets.Version("1.0.0"),
+            description=f"The STS Benchmark for id language by google translate.",
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = 'en'
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence1": datasets.Value("string"),
+                    "sentence2": datasets.Value("string"),
+                    "score": datasets.Value("float32"),
+                },
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/PhilipMay/stsb-multi-mt",
+        )
+
+    def _split_generators(self, dl_manager):
+        if self.config.name == 'ar':
+            path_or_ds = dl_manager.download('test_ar_google.jsonl')
+        elif self.config.name == 'id':
+            path_or_ds = dl_manager.download('test_id_deepl.jsonl')
+        else:
+            path_or_ds = datasets.load_dataset("stsb_multi_mt", self.config.name, split="test")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"path_or_ds": path_or_ds},
+            ),
+        ]
+
+    def _generate_examples(self, path_or_ds):
+        """Yields examples."""
+        if isinstance(path_or_ds, datasets.Dataset):
+            for i, ins in enumerate(path_or_ds):
+                yield i, {'sentence1': ins['sentence1'], 'sentence2': ins['sentence2'], 'score': ins['similarity_score']}
+        else:
+            with open(text_path) as f:
+                for i, line in enumerate(f):
+                    yield i, json.loads(line)