Datasets:

PolyAI
/

minds14

@@ -1,172 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The PolyAI and HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import csv
-import os
-import datasets
-logger = datasets.logging.get_logger(__name__)
-""" MInDS-14 Dataset"""
-_CITATION = """\
-@article{gerz2021multilingual,
-  title={Multilingual and cross-lingual intent detection from spoken data},
-  author={Gerz, Daniela and Su, Pei-Hao and Kusztos, Razvan and Mondal, Avishek and Lis, Michal and Singhal, Eshan and Mrk{\v{s}}i{\'c}, Nikola and Wen, Tsung-Hsien and Vuli{\'c}, Ivan},
-  journal={arXiv preprint arXiv:2104.08524},
-  year={2021}
-}
-"""
-_DESCRIPTION = """\
-MINDS-14 is training and evaluation resource for intent
-detection task with spoken data. It covers 14
-intents extracted from a commercial system
-in the e-banking domain, associated with spoken examples in 14 diverse language varieties.
-"""
-_ALL_CONFIGS = sorted([
-    "cs-CZ", "de-DE", "en-AU", "en-GB", "en-US", "es-ES", "fr-FR", "it-IT", "ko-KR", "nl-NL", "pl-PL", "pt-PT", "ru-RU", "zh-CN"
-])
-_DESCRIPTION = "MINDS-14 is a dataset for the intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties."
-_HOMEPAGE_URL = "https://arxiv.org/abs/2104.08524"
-_DATA_URL = "https://www.dropbox.com/s/e2us0hcs3ilr20e/MInDS-14.zip?dl=1"
-class Minds14Config(datasets.BuilderConfig):
-    """BuilderConfig for xtreme-s"""
-    def __init__(
-        self, name, description, homepage, data_url
-    ):
-        super(Minds14Config, self).__init__(
-            name=self.name,
-            version=datasets.Version("1.0.0", ""),
-            description=self.description,
-        )
-        self.name = name
-        self.description = description
-        self.homepage = homepage
-        self.data_url = data_url
-def _build_config(name):
-    return Minds14Config(
-        name=name,
-        description=_DESCRIPTION,
-        homepage=_HOMEPAGE_URL,
-        data_url=_DATA_URL,
-    )
-class Minds14(datasets.GeneratorBasedBuilder):
-    DEFAULT_WRITER_BATCH_SIZE = 1000
-    BUILDER_CONFIGS = [_build_config(name) for name in _ALL_CONFIGS + ["all"]]
-    def _info(self):
-        task_templates = None
-        langs = _ALL_CONFIGS
-        features = datasets.Features(
-            {
-                "path": datasets.Value("string"),
-                "audio": datasets.Audio(sampling_rate=8_000),
-                "transcription": datasets.Value("string"),
-                "english_transcription": datasets.Value("string"),
-                "intent_class": datasets.ClassLabel(
-                    names=[
-                        "abroad",
-                        "address",
-                        "app_error",
-                        "atm_limit",
-                        "balance",
-                        "business_loan",
-                        "card_issues",
-                        "cash_deposit",
-                        "direct_debit",
-                        "freeze",
-                        "high_value_payment",
-                        "joint_account",
-                        "latest_transactions",
-                        "pay_bill",
-                    ]
-                ),
-                "lang_id": datasets.ClassLabel(names=langs),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=("audio", "transcription"),
-            homepage=self.config.homepage,
-            citation=_CITATION,
-            task_templates=task_templates,
-        )
-    def _split_generators(self, dl_manager):
-        langs = (
-            _ALL_CONFIGS
-            if self.config.name == "all"
-            else [self.config.name]
-        )
-        archive_path = dl_manager.download_and_extract(self.config.data_url)
-        audio_path = dl_manager.extract(
-            os.path.join(archive_path, "MInDS-14", "audio.zip")
-        )
-        text_path = dl_manager.extract(
-            os.path.join(archive_path, "MInDS-14", "text.zip")
-        )
-        text_path = {l: os.path.join(text_path, f"{l}.csv") for l in langs}
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "audio_path": audio_path,
-                    "text_paths": text_path,
-                },
-            )
-        ]
-    def _generate_examples(self, audio_path, text_paths):
-        key = 0
-        for lang in text_paths.keys():
-            text_path = text_paths[lang]
-            with open(text_path, encoding="utf-8") as csv_file:
-                csv_reader = csv.reader(csv_file, delimiter=",", skipinitialspace=True)
-                next(csv_reader)
-                for row in csv_reader:
-                    file_path, transcription, english_transcription, intent_class = row
-                    file_path = os.path.join(audio_path, *file_path.split("/"))
-                    yield key, {
-                        "path": file_path,
-                        "audio": file_path,
-                        "transcription": transcription,
-                        "english_transcription": english_transcription,
-                        "intent_class": intent_class.lower(),
-                        "lang_id": _ALL_CONFIGS.index(lang),
-                    }
-                    key += 1