Upload amazon_massive_intent.py

amazon_massive_intent.py

@@ -0,0 +1,218 @@
+# coding=utf-8
+
+"""MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages"""
+
+import json
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """\
+        MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
+        for the Natural Language Understanding tasks of intent prediction and slot annotation.
+        Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
+        the SLURP dataset, composed of general Intelligent Voice Assistant single-shot interactions.
+"""
+_URL = "https://amazon-massive-nlu-dataset.s3.amazonaws.com/amazon-massive-dataset-1.0.tar.gz"
+
+
+_LANGUAGES = {
+    "af": "af-ZA",
+    "am": "am-ET",
+    "ar": "ar-SA",
+    "az": "az-AZ",
+    "bn": "bn-BD",
+    "cy": "cy-GB",
+    "da": "da-DK",
+    "de": "de-DE",
+    "el": "el-GR",
+    "en": "en-US",
+    "es": "es-ES",
+    "fa": "fa-IR",
+    "fi": "fi-FI",
+    "fr": "fr-FR",
+    "he": "he-IL",
+    "hi": "hi-IN",
+    "hu": "hu-HU",
+    "hy": "hy-AM",
+    "id": "id-ID",
+    "is": "is-IS",
+    "it": "it-IT",
+    "ja": "ja-JP",
+    "jv": "jv-ID",
+    "ka": "ka-GE",
+    "km": "km-KH",
+    "kn": "kn-IN",
+    "ko": "ko-KR",
+    "lv": "lv-LV",
+    "ml": "ml-IN",
+    "mn": "mn-MN",
+    "ms": "ms-MY",
+    "my": "my-MM",
+    "nb": "nb-NO",
+    "nl": "nl-NL",
+    "pl": "pl-PL",
+    "pt": "pt-PT",
+    "ro": "ro-RO",
+    "ru": "ru-RU",
+    "sl": "sl-SL",
+    "sq": "sq-AL",
+    "sv": "sv-SE",
+    "sw": "sw-KE",
+    "ta": "ta-IN",
+    "te": "te-IN",
+    "th": "th-TH",
+    "tl": "tl-PH",
+    "tr": "tr-TR",
+    "ur": "ur-PK",
+    "vi": "vi-VN",
+    "zh-CN": "zh-CN",
+    "zh-TW": "zh-TW",
+}
+
+_INTENTS = [
+    "datetime_query",
+    "iot_hue_lightchange",
+    "transport_ticket",
+    "takeaway_query",
+    "qa_stock",
+    "general_greet",
+    "recommendation_events",
+    "music_dislikeness",
+    "iot_wemo_off",
+    "cooking_recipe",
+    "qa_currency",
+    "transport_traffic",
+    "general_quirky",
+    "weather_query",
+    "audio_volume_up",
+    "email_addcontact",
+    "takeaway_order",
+    "email_querycontact",
+    "iot_hue_lightup",
+    "recommendation_locations",
+    "play_audiobook",
+    "lists_createoradd",
+    "news_query",
+    "alarm_query",
+    "iot_wemo_on",
+    "general_joke",
+    "qa_definition",
+    "social_query",
+    "music_settings",
+    "audio_volume_other",
+    "calendar_remove",
+    "iot_hue_lightdim",
+    "calendar_query",
+    "email_sendemail",
+    "iot_cleaning",
+    "audio_volume_down",
+    "play_radio",
+    "cooking_query",
+    "datetime_convert",
+    "qa_maths",
+    "iot_hue_lightoff",
+    "iot_hue_lighton",
+    "transport_query",
+    "music_likeness",
+    "email_query",
+    "play_music",
+    "audio_volume_mute",
+    "social_post",
+    "alarm_set",
+    "qa_factoid",
+    "calendar_set",
+    "play_game",
+    "alarm_remove",
+    "lists_remove",
+    "transport_taxi",
+    "recommendation_movies",
+    "iot_coffee",
+    "music_query",
+    "play_podcasts",
+    "lists_query",
+]
+
+
+class MASSIVE(datasets.GeneratorBasedBuilder):
+    """MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages"""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=name,
+            version=datasets.Version("1.0.0"),
+            description=f"The MASSIVE corpora for {name}",
+        )
+        for name in _LANGUAGES.keys()
+    ]
+
+    DEFAULT_CONFIG_NAME = "en-US"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=_INTENTS),
+                    "label_text": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                },
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/alexa/massive",
+            citation="_CITATION",
+            license="_LICENSE",
+        )
+
+    def _split_generators(self, dl_manager):
+
+        #   path = dl_manager.download_and_extract(_URL)
+        archive_path = dl_manager.download(_URL)
+        files = dl_manager.iter_archive(archive_path)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": files,
+                    "split": "train",
+                    "lang": self.config.name,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "files": files,
+                    "split": "dev",
+                    "lang": self.config.name,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "files": files,
+                    "split": "test",
+                    "lang": self.config.name,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, files, split, lang):
+        filepath = "1.0/data/" + _LANGUAGES[lang] + ".jsonl"
+        logger.info("⏳ Generating examples from = %s", filepath)
+        for path, f in files:
+            if path == filepath:
+                lines = f.readlines()
+                key_ = 0
+                for line in lines:
+                    data = json.loads(line)
+                    if data["partition"] != split:
+                        continue
+                    yield key_, {
+                        "id": data["id"],
+                        "label": data["intent"],
+                        "label_text": data["intent"],
+                        "text": data["utt"],
+                    }
+                    key_ += 1