Datasets:
Tasks:
Text Classification
Sub-tasks:
semantic-similarity-classification
Languages:
Polish
Size:
1K<n<10K
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. | |
| """WUT Relations Between Sentences Corpus""" | |
| import csv | |
| import datasets | |
| # TODO: Add BibTeX citation | |
| # Find for instance the citation on arxiv or on the dataset repo/website | |
| _CITATION = """\ | |
| @misc{11321/305, | |
| title = {{WUT} Relations Between Sentences Corpus}, | |
| author = {Oleksy, Marcin and Fikus, Dominika and Wolski, Michal and Podbielska, Malgorzata and Turek, Agnieszka and Kędzia, Pawel}, | |
| url = {http://hdl.handle.net/11321/305}, | |
| note = {{CLARIN}-{PL} digital repository}, | |
| copyright = {Attribution-{ShareAlike} 3.0 Unported ({CC} {BY}-{SA} 3.0)}, | |
| year = {2016} | |
| } | |
| """ | |
| # TODO: Add description of the dataset here | |
| # You can copy an official description | |
| _DESCRIPTION = """\ | |
| WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences. | |
| Relationships are derived from Cross-document Structure Theory (CST), which enables multi-document summarization through identification of cross-document rhetorical relationships within a cluster of related documents. | |
| Every relation was marked by at least 3 annotators. | |
| """ | |
| # TODO: Add a link to an official homepage for the dataset here | |
| _HOMEPAGE = "https://clarin-pl.eu/dspace/handle/11321/305" | |
| # TODO: Add the licence for the dataset here if you can find it | |
| _LICENSE = "Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)" | |
| # TODO: Add link to the official dataset URLs here | |
| # The HuggingFace dataset library don't host the datasets but only point to the original files | |
| # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method) | |
| _URL = "https://clarin-pl.eu/dspace/bitstream/handle/11321/305/sem_rels-betw-sents.csv" | |
| # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case | |
| class Wrbsc(datasets.GeneratorBasedBuilder): | |
| """WUT Relations Between Sentences Corpus""" | |
| VERSION = datasets.Version("1.1.0") | |
| def _info(self): | |
| # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset | |
| features = datasets.Features( | |
| { | |
| "sentence1": datasets.Value("string"), | |
| "sentence2": datasets.Value("string"), | |
| "relationship": datasets.ClassLabel( | |
| names=[ | |
| "Krzyżowanie_się", | |
| "Tło_historyczne", | |
| "Źródło", | |
| "Dalsze_informacje", | |
| "Zawieranie", | |
| "Opis", | |
| "Uszczegółowienie", | |
| "Parafraza", | |
| "Spełnienie", | |
| "Mowa_zależna", | |
| "Zmiana_poglądu", | |
| "Streszczenie", | |
| "Tożsamość", | |
| "Sprzeczność", | |
| "Modalność", | |
| "Cytowanie", | |
| ] | |
| ), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| # This is the description that will appear on the datasets page. | |
| description=_DESCRIPTION, | |
| # This defines the different columns of the dataset and their types | |
| features=features, # Here we define them above because they are different between the two configurations | |
| # If there's a common (input, target) tuple from the features, | |
| # specify them here. They'll be used if as_supervised=True in | |
| # builder.as_dataset. | |
| supervised_keys=None, | |
| # Homepage of the dataset for documentation | |
| homepage=_HOMEPAGE, | |
| # License for the dataset if available | |
| license=_LICENSE, | |
| # Citation for the dataset | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration | |
| # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name | |
| # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs | |
| # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files. | |
| # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive | |
| filepath = dl_manager.download(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| # These kwargs will be passed to _generate_examples | |
| gen_kwargs={ | |
| "filepath": filepath, | |
| "split": "train", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| """Yields examples.""" | |
| # TODO: This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method. | |
| # It is in charge of opening the given file and yielding (key, example) tuples from the dataset | |
| # The key is not important, it's more here for legacy reason (legacy from tfds) | |
| with open(filepath, encoding="utf-8") as f: | |
| reader = csv.DictReader( | |
| f, delimiter="\t", fieldnames=["0", "1", "s1", "s2", "r", "2"], quoting=csv.QUOTE_NONE | |
| ) | |
| for idx, row in enumerate(reader): | |
| yield idx, { | |
| "sentence1": row["s1"][1:-1], | |
| "sentence2": row["s2"][1:-1], | |
| "relationship": row["r"], | |
| } | |