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.gitattributes

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README.md

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----
-task_categories:
-- text-classification
-language:
-- de
-- en
-- es
-- fr
-- hi
-- th
----

de/mtop_domain-test.parquet

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mtop-domain.py

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-import json
-import datasets
-
-_DESCRIPTION = "MTOP: Multilingual Task-Oriented Semantic Parsing"
-_LANGUAGES = ["en", "de", "es", "fr", "hi", "th"]
-
-URL = ""
-_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)

mtop_domain.py

@@ -1,65 +0,0 @@
-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_DOMAIN(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)

th/mtop_domain-test.parquet

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