Datasets:
Tasks:
Token Classification
Sub-tasks:
sentiment-classification
Languages:
Polish
Multilinguality:
monolingual
Language Creators:
other
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| # coding=utf-8 | |
| # Copyright 2020 The 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 json | |
| import os | |
| from typing import Generator, Tuple, Dict, List | |
| import datasets | |
| from datasets import DownloadManager | |
| from datasets.info import SupervisedKeysData | |
| _CITATION = """@misc{11321/849, | |
| title = {{AspectEmo} 1.0: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis}, | |
| author = {Koco{\'n}, Jan and Radom, Jarema and Kaczmarz-Wawryk, Ewa and Wabnic, Kamil and Zaj{\c a}czkowska, Ada and Za{\'s}ko-Zieli{\'n}ska, Monika}, | |
| url = {http://hdl.handle.net/11321/849}, | |
| note = {{CLARIN}-{PL} digital repository}, | |
| copyright = {The {MIT} License}, | |
| year = {2021} | |
| }""" | |
| _DESCRIPTION = """AspectEmo dataset: Multi-Domain Corpus of Consumer Reviews for Aspect-Based | |
| Sentiment Analysis""" | |
| _HOMEPAGE = "https://clarin-pl.eu/dspace/handle/11321/849" | |
| _LICENSE = "The MIT License" | |
| _URLs = { | |
| "1.0": "https://huggingface.co/datasets/clarin-pl/aspectemo/resolve/main/data/aspectemo1.zip", | |
| # '2.0': "", | |
| } | |
| _CLASSES = ["O", "a_minus_m", "a_minus_s", "a_zero", "a_plus_s", "a_plus_m", "a_amb"] | |
| class AspectEmo(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="1.0", | |
| version=VERSION, | |
| description="AspectEmo 1.0 Corpus, used in the original paper.", | |
| ), | |
| # datasets.BuilderConfig( | |
| # name="2.0", | |
| # version=VERSION, | |
| # description="", | |
| # ), | |
| ] | |
| DEFAULT_CONFIG_NAME = "1.0" | |
| def _info(self) -> datasets.DatasetInfo: | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "tokens": datasets.Sequence(datasets.Value("string")), | |
| "labels": datasets.Sequence( | |
| datasets.features.ClassLabel( | |
| names=_CLASSES, num_classes=len(_CLASSES) | |
| ) | |
| ), | |
| } | |
| ), | |
| supervised_keys=SupervisedKeysData(input="tokens", output="labels"), | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators( | |
| self, dl_manager: DownloadManager | |
| ) -> List[datasets.SplitGenerator]: | |
| my_urls = _URLs[self.config.name] | |
| data_dir = dl_manager.download_and_extract(my_urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": os.path.join(data_dir, "data.json"), | |
| "split": "train", | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": os.path.join(data_dir, "data.json"), | |
| "split": "test", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples( | |
| self, | |
| filepath: str, | |
| split: str, | |
| ) -> Generator[Tuple[int, Dict[str, str]], None, None]: | |
| with open(filepath, encoding="utf-8") as f: | |
| data = json.load(f)[split] | |
| for id_, row in data.items(): | |
| yield id_, { | |
| "tokens": row["tokens"], | |
| "labels": row["labels"], | |
| } | |