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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- other
-language:
-- pl
-license:
-- bsd-3-clause
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- sentiment-classification
-paperswithcode_id: null
-pretty_name: cdt
-dataset_info:
-  features:
-  - name: sentence
-    dtype: string
-  - name: target
-    dtype:
-      class_label:
-        names:
-          0: '0'
-          1: '1'
-  splits:
-  - name: train
-    num_bytes: 1104322
-    num_examples: 10041
-  - name: test
-    num_bytes: 109681
-    num_examples: 1000
-  download_size: 375476
-  dataset_size: 1214003
----
-
-# 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://2019.poleval.pl/index.php/tasks/
-- **Repository:**
-  https://github.com/ptaszynski/cyberbullying-Polish
-- **Paper:**
-- **Leaderboard:**
-  https://klejbenchmark.com/leaderboard/
-- **Point of Contact:**
-
-### Dataset Summary
-
-The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-Polish
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-- sentence: an anonymized tweet in polish
-- target: 1 if tweet is described as bullying, 0 otherwise. The test set doesn't have labels so -1 is used instead.
-
-### Data Splits
-
-[More Information Needed]
-
-## 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
-
-BSD 3-Clause
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.

cdt.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.
-"""Cyberbullying detection task"""
-
-
-import csv
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-_CITATION = """\
-@article{ptaszynski2019results,
-title={Results of the PolEval 2019 Shared Task 6: First Dataset and Open Shared Task for Automatic Cyberbullying Detection in Polish Twitter},
-author={Ptaszynski, Michal and Pieciukiewicz, Agata and Dybala, Pawel},
-journal={Proceedings of the PolEval 2019 Workshop},
-publisher={Institute of Computer Science, Polish Academy of Sciences},
-pages={89},
-year={2019}
-}
-"""
-
-_DESCRIPTION = """\
-The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.
-"""
-
-_HOMEPAGE = "https://github.com/ptaszynski/cyberbullying-Polish"
-
-_LICENSE = "BSD 3-Clause"
-
-_URLs = "https://klejbenchmark.com/static/data/klej_cbd.zip"
-
-
-class Cdt(datasets.GeneratorBasedBuilder):
-    """CyberbullyingDetectionTask"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "sentence": datasets.Value("string"),
-                    "target": datasets.ClassLabel(names=["0", "1"]),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            task_templates=[TextClassification(text_column="sentence", label_column="target")],
-        )
-
-    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_, {
-                    "sentence": row["sentence"],
-                    "target": -1 if split == "test" else row["target"],
-                }

dataset_infos.json

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-{"default": {"description": "The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.\n", "citation": "@article{ptaszynski2019results,\ntitle={Results of the PolEval 2019 Shared Task 6: First Dataset and Open Shared Task for Automatic Cyberbullying Detection in Polish Twitter},\nauthor={Ptaszynski, Michal and Pieciukiewicz, Agata and Dybala, Pawel},\njournal={Proceedings of the PolEval 2019 Workshop},\npublisher={Institute of Computer Science, Polish Academy of Sciences},\npages={89},\nyear={2019}\n}\n", "homepage": "https://github.com/ptaszynski/cyberbullying-Polish", "license": "BSD 3-Clause", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "sentence", "label_column": "target", "labels": ["0", "1"]}], "builder_name": "cdt", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1104322, "num_examples": 10041, "dataset_name": "cdt"}, "test": {"name": "test", "num_bytes": 109681, "num_examples": 1000, "dataset_name": "cdt"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_cbd.zip": {"num_bytes": 375476, "checksum": "aee5213938374b25e239a853cd56d579b037f75bef52ec5e79d8a36f7cf76602"}}, "download_size": 375476, "post_processing_size": null, "dataset_size": 1214003, "size_in_bytes": 1589479}}

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default/cdt-train.parquet

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