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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- other
-language:
-- pl
-license:
-- cc-by-sa-3.0
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- summarization
-task_ids:
-- news-articles-summarization
-paperswithcode_id: null
-pretty_name: psc
-dataset_info:
-  features:
-  - name: extract_text
-    dtype: string
-  - name: summary_text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: '0'
-          1: '1'
-  splits:
-  - name: train
-    num_bytes: 5026582
-    num_examples: 4302
-  - name: test
-    num_bytes: 1292103
-    num_examples: 1078
-  download_size: 2357808
-  dataset_size: 6318685
----
-
-# Dataset Card for [Dataset Name]
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [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)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-  http://zil.ipipan.waw.pl/PolishSummariesCorpus
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-The Polish Summaries Corpus contains news articles and their summaries. We used summaries of the same article as positive pairs and sampled the most similar summaries of different articles as negatives.
-
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-Polish
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-- extract_text: text to summarise
-- summary_text: summary of extracted text 
-- label: 1 indicates summary is similar, 0 means that it is not similar
-
-### Data Splits
-
-Data is splitted in train and test dataset. Test dataset doesn't have label column, so -1 is set instead.
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-CC BY-SA 3.0
-
-### Citation Information
-
-@inproceedings{ogro:kop:14:lrec,
-title={The {P}olish {S}ummaries {C}orpus},
-author={Ogrodniczuk, Maciej and Kope{\'c}, Mateusz},
-booktitle = "Proceedings of the Ninth International {C}onference on {L}anguage {R}esources and {E}valuation, {LREC}~2014",
-year = "2014",
-}
-
-### Contributions
-
-Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.

dataset_infos.json

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-{"default": {"description": "The Polish Summaries Corpus contains news articles and their summaries. We used summaries of the same article as positive pairs and sampled the most similar summaries of different articles as negatives.\n", "citation": "@inproceedings{ogro:kop:14:lrec,\ntitle={The {P}olish {S}ummaries {C}orpus},\nauthor={Ogrodniczuk, Maciej and Kope{'c}, Mateusz},\nbooktitle = \"Proceedings of the Ninth International {C}onference on {L}anguage {R}esources and {E}valuation, {LREC}~2014\",\nyear = \"2014\",\n}\n", "homepage": "http://zil.ipipan.waw.pl/PolishSummariesCorpus", "license": "CC BY-SA 3.0", "features": {"extract_text": {"dtype": "string", "id": null, "_type": "Value"}, "summary_text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "psc", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5026582, "num_examples": 4302, "dataset_name": "psc"}, "test": {"name": "test", "num_bytes": 1292103, "num_examples": 1078, "dataset_name": "psc"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_psc.zip": {"num_bytes": 2357808, "checksum": "78f00802c4631e64b64f6379dd1e8307449390c9e7c03395c3cbfba2ac7ddfc7"}}, "download_size": 2357808, "post_processing_size": null, "dataset_size": 6318685, "size_in_bytes": 8676493}}

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default/psc-train.parquet

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psc.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.
-"""Polish Summaries Corpus"""
-
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{ogro:kop:14:lrec,
-title={The {P}olish {S}ummaries {C}orpus},
-author={Ogrodniczuk, Maciej and Kope{\'c}, Mateusz},
-booktitle = "Proceedings of the Ninth International {C}onference on {L}anguage {R}esources and {E}valuation, {LREC}~2014",
-year = "2014",
-}
-"""
-
-_DESCRIPTION = """\
-The Polish Summaries Corpus contains news articles and their summaries. We used summaries of the same article as positive pairs and sampled the most similar summaries of different articles as negatives.
-"""
-
-_HOMEPAGE = "http://zil.ipipan.waw.pl/PolishSummariesCorpus"
-
-_LICENSE = "CC BY-SA 3.0"
-
-_URLs = "https://klejbenchmark.com/static/data/klej_psc.zip"
-
-
-class PSC(datasets.GeneratorBasedBuilder):
-    """Polish Summaries Corpus"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "extract_text": datasets.Value("string"),
-                    "summary_text": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["0", "1"]),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URLs)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.tsv"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(data_dir, "test_features.tsv"), "split": "test"},
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-            for id_, row in enumerate(reader):
-                yield id_, {
-                    "extract_text": row["extract_text"],
-                    "summary_text": row["summary_text"],
-                    "label": -1 if split == "test" else row["label"],
-                }