Create mtop_domain.py

mtop_domain.py

@@ -0,0 +1,65 @@
+import json
+import datasets
+
+_DESCRIPTION = "MTOP: Multilingual Task-Oriented Semantic Parsing"
+_LANGUAGES = ["en", "de", "es", "fr", "hi", "th"]
+
+URL = ""  # https://huggingface.co/datasets/mteb/mtop/resolve/main/"
+_URLs = {
+    split: {
+        "train": URL + f"{split}/train.jsonl",
+        "test": URL + f"{split}/test.jsonl",
+        "validation": URL + f"{split}/validation.jsonl",
+    }
+    for split in _LANGUAGES
+}
+
+
+class MTOP(datasets.GeneratorBasedBuilder):
+    """MTOP Dataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=name, description=f"This part of my dataset covers {name} part of MTOP Dataset.",)
+        for name in _LANGUAGES
+    ]
+    
+    DEFAULT_CONFIG_NAME = "en"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("int64"),
+                    "text": datasets.Value("string"),
+                    "label": datasets.Value("int32"),
+                    "label_text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["train"]},
+            ),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"text_path": data_dir["validation"]},),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["test"]},
+            ),
+        ]
+
+    def _generate_examples(self, text_path):
+        """Yields examples."""
+        with open(text_path, encoding="utf-8") as f:
+            texts = f.readlines()
+        for i, text in enumerate(texts):
+            yield i, json.loads(text)