Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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README.md

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+---
+annotations_creators: 
+- expert-generated
+language_creators: 
+- found
+languages: 
+- pl
+licenses: 
+- cc-by-sa-3-0
+multilinguality: 
+- monolingual
+size_categories: 
+- 1K<n<10K
+source_datasets: 
+- original
+task_categories: 
+- text-classification
+task_ids: 
+- semantic-similarity-classification
+---
+
+# Dataset Card for wrbsc
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://clarin-pl.eu/dspace/handle/11321/305
+- **Repository:** https://clarin-pl.eu/dspace/handle/11321/305
+- **Paper:** [Needs More Information]
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+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.
+
+### Supported Tasks and Leaderboards
+
+[Needs More Information]
+
+### Languages
+
+Polish
+
+## Dataset Structure
+
+### Data Instances
+An example contains two related sentences and a class representing the type of relationship between those sentences. 
+
+```
+{'relationship': 0,
+ 'sentence1': 'Znajdujące się w Biurze Bezpieczeństwa Narodowego akta Komisji Weryfikacyjnej WSI zostały przewiezione do siedziby Służby Kontrwywiadu Wojskowego.',
+ 'sentence2': '2008-07-03: Wywiezienie akt dotyczących WSI – sprawa dla prokuratury?'}
+```
+
+### Data Fields
+
+- `sentence1`: the first sentence being compared (`string`)
+- `sentence2`: the second sentence being compared (`string`)
+- `relationship`: the type of relationship between those sentences. Can be one of 16 classes listed below:
+  - `Krzyżowanie_się`: crossing
+  - `Tło_historyczne`: historical background
+  - `Źródło`: source
+  - `Dalsze_informacje`: additional information
+  - `Zawieranie`: inclusion
+  - `Opis`: description
+  - `Uszczegółowienie`: further detail 
+  - `Parafraza`: paraphrase
+  - `Spełnienie`: fulfillment
+  - `Mowa_zależna`: passive voice
+  - `Zmiana_poglądu`: change of opinion
+  - `Streszczenie`: summarization
+  - `Tożsamość`: identity
+  - `Sprzeczność`: conflict
+  - `Modalność`: modality
+  - `Cytowanie`: quotation
+
+### Data Splits
+
+Single train split
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+[Needs More Information]
+
+### Licensing Information
+
+Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
+
+### Citation Information
+```
+@misc{11321/305,	
+ title = {{WUT} Relations Between Sentences Corpus},	
+ author = {Oleksy, Marcin and Fikus, Dominika and Wolski, Micha{\l} and Podbielska, Ma{\l}gorzata and Turek, Agnieszka and Kędzia, Pawe{\l}},	
+ 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}	
+}
+```

dataset_infos.json

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+{"default": {"description": "WUT Relations Between Sentences Corpus contains 2827 pairs of related sentences.\nRelationships 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.\nEvery relation was marked by at least 3 annotators.\n", "citation": "@misc{11321/305,\n title = {{WUT} Relations Between Sentences Corpus},\n author = {Oleksy, Marcin and Fikus, Dominika and Wolski, Michal and Podbielska, Malgorzata and Turek, Agnieszka and K\u0119dzia, Pawel},\n url = {http://hdl.handle.net/11321/305},\n note = {{CLARIN}-{PL} digital repository},\n copyright = {Attribution-{ShareAlike} 3.0 Unported ({CC} {BY}-{SA} 3.0)},\n year = {2016}\n}\n", "homepage": "https://clarin-pl.eu/dspace/handle/11321/305", "license": "Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "relationship": {"num_classes": 16, "names": ["Krzy\u017cowanie_si\u0119", "T\u0142o_historyczne", "\u0179r\u00f3d\u0142o", "Dalsze_informacje", "Zawieranie", "Opis", "Uszczeg\u00f3\u0142owienie", "Parafraza", "Spe\u0142nienie", "Mowa_zale\u017cna", "Zmiana_pogl\u0105du", "Streszczenie", "To\u017csamo\u015b\u0107", "Sprzeczno\u015b\u0107", "Modalno\u015b\u0107", "Cytowanie"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wrbsc", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 779881, "num_examples": 2827, "dataset_name": "wrbsc"}}, "download_checksums": {"https://clarin-pl.eu/dspace/bitstream/handle/11321/305/sem_rels-betw-sents.csv": {"num_bytes": 1273815, "checksum": "ad1219235c06a39f007762d0c9ff0fc513c90fb9437f2a5b503d230e51a2419e"}}, "download_size": 1273815, "post_processing_size": null, "dataset_size": 779881, "size_in_bytes": 2053696}}

dummy/1.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:837cf75fd6327ece7fbe070d0fde4b1372540c7bcc0dccc25e24c3e2a945ece6
+size 1637

wrbsc.py

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+# 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"""
+
+from __future__ import absolute_import, division, print_function
+
+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"],
+                }