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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- other
-language:
-- pl
-license:
-- cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- other
-task_ids: []
-paperswithcode_id: polish-cdscorpus
-pretty_name: Polish CDSCorpus
-tags:
-- sentences entailment and relatedness
-dataset_info:
-- config_name: cdsc-e
-  features:
-  - name: pair_ID
-    dtype: int32
-  - name: sentence_A
-    dtype: string
-  - name: sentence_B
-    dtype: string
-  - name: entailment_judgment
-    dtype:
-      class_label:
-        names:
-          0: NEUTRAL
-          1: CONTRADICTION
-          2: ENTAILMENT
-  splits:
-  - name: train
-    num_bytes: 1381902
-    num_examples: 8000
-  - name: test
-    num_bytes: 179400
-    num_examples: 1000
-  - name: validation
-    num_bytes: 174662
-    num_examples: 1000
-  download_size: 376079
-  dataset_size: 1735964
-- config_name: cdsc-r
-  features:
-  - name: pair_ID
-    dtype: int32
-  - name: sentence_A
-    dtype: string
-  - name: sentence_B
-    dtype: string
-  - name: relatedness_score
-    dtype: float32
-  splits:
-  - name: train
-    num_bytes: 1349902
-    num_examples: 8000
-  - name: test
-    num_bytes: 175400
-    num_examples: 1000
-  - name: validation
-    num_bytes: 170662
-    num_examples: 1000
-  download_size: 381525
-  dataset_size: 1695964
----
-
-# 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/Scwad/CDSCorpus
-- **Repository:**
-- **Paper:**
-@inproceedings{wroblewska2017polish,
-title={Polish evaluation dataset for compositional distributional semantics models},
-author={Wr{\'o}blewska, Alina and Krasnowska-Kiera{\'s}, Katarzyna},
-booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
-pages={784--792},
-year={2017}
-}
-- **Leaderboard:**
-https://klejbenchmark.com/leaderboard/
-- **Point of Contact:**
-[email protected] 
-
-### Dataset Summary
-
-Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-Polish
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-- pair_ID: id of sentences pairs
-- sentence_A: first sentence
-- sentence_B: second sentence
-
-for cdsc-e domain:
-- entailment_judgment: either 'NEUTRAL', 'CONTRADICTION' or 'ENTAILMENT'
-
-for cdsc-r domain:
-- relatedness_score: float representing a reletedness
-
-
-### Data Splits
-
-Data is splitted in train/dev/test split.
-
-## 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
-
-Dataset provided for research purposes only. Please check dataset license for additional information.
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-CC BY-NC-SA 4.0
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.

cdsc-e/cdsc-test.parquet

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cdsc-e/cdsc-train.parquet

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cdsc-e/cdsc-validation.parquet

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cdsc-r/cdsc-validation.parquet

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cdsc.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.
-"""cdsc-e & cdsc-r"""
-
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{wroblewska2017polish,
-title={Polish evaluation dataset for compositional distributional semantics models},
-author={Wr{\'o}blewska, Alina and Krasnowska-Kiera{\'s}, Katarzyna},
-booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
-pages={784--792},
-year={2017}
-}
-"""
-
-_DESCRIPTION = """\
-Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.
-"""
-
-_HOMEPAGE = "http://zil.ipipan.waw.pl/Scwad/CDSCorpus"
-
-_LICENSE = "CC BY-NC-SA 4.0"
-
-_URLs = {
-    "cdsc-e": "https://klejbenchmark.com/static/data/klej_cdsc-e.zip",
-    "cdsc-r": "https://klejbenchmark.com/static/data/klej_cdsc-r.zip",
-}
-
-
-class Cdsc(datasets.GeneratorBasedBuilder):
-    """CDSCorpus"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="cdsc-e",
-            version=VERSION,
-            description="Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic entailment.",
-        ),
-        datasets.BuilderConfig(
-            name="cdsc-r",
-            version=VERSION,
-            description="Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness.",
-        ),
-    ]
-
-    def _info(self):
-        if self.config.name == "cdsc-e":
-            features = datasets.Features(
-                {
-                    "pair_ID": datasets.Value("int32"),
-                    "sentence_A": datasets.Value("string"),
-                    "sentence_B": datasets.Value("string"),
-                    "entailment_judgment": datasets.ClassLabel(
-                        names=[
-                            "NEUTRAL",
-                            "CONTRADICTION",
-                            "ENTAILMENT",
-                        ]
-                    ),
-                }
-            )
-        elif self.config.name == "cdsc-r":
-            features = datasets.Features(
-                {
-                    "pair_ID": datasets.Value("int32"),
-                    "sentence_A": datasets.Value("string"),
-                    "sentence_B": datasets.Value("string"),
-                    "relatedness_score": datasets.Value("float"),
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        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, "train.tsv"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(data_dir, "test_features.tsv"), "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "dev.tsv"),
-                    "split": "dev",
-                },
-            ),
-        ]
-
-    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):
-                if self.config.name == "cdsc-e":
-                    yield id_, {
-                        "pair_ID": row["pair_ID"],
-                        "sentence_A": row["sentence_A"],
-                        "sentence_B": row["sentence_B"],
-                        "entailment_judgment": -1 if split == "test" else row["entailment_judgment"],
-                    }
-                elif self.config.name == "cdsc-r":
-                    yield id_, {
-                        "pair_ID": row["pair_ID"],
-                        "sentence_A": row["sentence_A"],
-                        "sentence_B": row["sentence_B"],
-                        "relatedness_score": "-1" if split == "test" else row["relatedness_score"],
-                    }

dataset_infos.json

@@ -1 +0,0 @@
-{"cdsc-e": {"description": "Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wr\u00f3blewska and Krasnowska-Kiera\u015b (2017) for a detailed description of the resource.\n", "citation": "@inproceedings{wroblewska2017polish,\ntitle={Polish evaluation dataset for compositional distributional semantics models},\nauthor={Wr{'o}blewska, Alina and Krasnowska-Kiera{'s}, Katarzyna},\nbooktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\npages={784--792},\nyear={2017}\n}\n", "homepage": "http://zil.ipipan.waw.pl/Scwad/CDSCorpus", "license": "CC BY-NC-SA 4.0", "features": {"pair_ID": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence_A": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_B": {"dtype": "string", "id": null, "_type": "Value"}, "entailment_judgment": {"num_classes": 3, "names": ["NEUTRAL", "CONTRADICTION", "ENTAILMENT"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "cdsc", "config_name": "cdsc-e", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1381902, "num_examples": 8000, "dataset_name": "cdsc"}, "test": {"name": "test", "num_bytes": 179400, "num_examples": 1000, "dataset_name": "cdsc"}, "validation": {"name": "validation", "num_bytes": 174662, "num_examples": 1000, "dataset_name": "cdsc"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_cdsc-e.zip": {"num_bytes": 376079, "checksum": "5314b3294ec36c49793e83ed1923c4551bda3fe15c6060eddbc57d3b15c19c05"}}, "download_size": 376079, "post_processing_size": null, "dataset_size": 1735964, "size_in_bytes": 2112043}, "cdsc-r": {"description": "Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wr\u00f3blewska and Krasnowska-Kiera\u015b (2017) for a detailed description of the resource.\n", "citation": "@inproceedings{wroblewska2017polish,\ntitle={Polish evaluation dataset for compositional distributional semantics models},\nauthor={Wr{'o}blewska, Alina and Krasnowska-Kiera{'s}, Katarzyna},\nbooktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\npages={784--792},\nyear={2017}\n}\n", "homepage": "http://zil.ipipan.waw.pl/Scwad/CDSCorpus", "license": "CC BY-NC-SA 4.0", "features": {"pair_ID": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence_A": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_B": {"dtype": "string", "id": null, "_type": "Value"}, "relatedness_score": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "cdsc", "config_name": "cdsc-r", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1349902, "num_examples": 8000, "dataset_name": "cdsc"}, "test": {"name": "test", "num_bytes": 175400, "num_examples": 1000, "dataset_name": "cdsc"}, "validation": {"name": "validation", "num_bytes": 170662, "num_examples": 1000, "dataset_name": "cdsc"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_cdsc-r.zip": {"num_bytes": 381525, "checksum": "3e3358cc120bc0475e3944bd4491943a3b94d2fb4ed35773aa550ec99a1a70cc"}}, "download_size": 381525, "post_processing_size": null, "dataset_size": 1695964, "size_in_bytes": 2077489}}