Datasets:
cdt

Task Categories: text-classification
Languages: Polish
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: other
Annotations Creators: expert-generated
Source Datasets: original
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Update files from the datasets library (from 1.2.0)

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

Files changed (5) hide show
  1. .gitattributes +27 -0
  2. README.md +141 -0
  3. cdt.py +92 -0
  4. dataset_infos.json +1 -0
  5. dummy/1.1.0/dummy_data.zip +3 -0
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README.md ADDED
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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - other
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+ languages:
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+ - pl
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+ licenses:
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+ - bsd-3-clause
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-classification
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+ task_ids:
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+ - sentiment-classification
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+ ---
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+
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+ # Dataset Card for [Dataset Name]
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ http://2019.poleval.pl/index.php/tasks/
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+ - **Repository:**
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+ https://github.com/ptaszynski/cyberbullying-Polish
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+ - **Paper:**
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+ - **Leaderboard:**
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+ https://klejbenchmark.com/leaderboard/
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ 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.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ Polish
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ - sentence: an anonymized tweet in polish
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+ - target: 1 if tweet is described as bullying, 0 otherwise. The test set doesn't have labels so -1 is used instead.
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ BSD 3-Clause
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
cdt.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """Cyberbullying detection task"""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import csv
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+ import os
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+
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+ import datasets
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+
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+
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+ _CITATION = """\
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+ @article{ptaszynski2019results,
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+ title={Results of the PolEval 2019 Shared Task 6: First Dataset and Open Shared Task for Automatic Cyberbullying Detection in Polish Twitter},
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+ author={Ptaszynski, Michal and Pieciukiewicz, Agata and Dybala, Pawel},
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+ journal={Proceedings of the PolEval 2019 Workshop},
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+ publisher={Institute of Computer Science, Polish Academy of Sciences},
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+ pages={89},
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+ year={2019}
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ 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.
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+ """
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+
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+ _HOMEPAGE = "https://github.com/ptaszynski/cyberbullying-Polish"
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+
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+ _LICENSE = "BSD 3-Clause"
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+
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+ _URLs = "https://klejbenchmark.com/static/data/klej_cbd.zip"
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+
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+
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+ class Cdt(datasets.GeneratorBasedBuilder):
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+ """CyberbullyingDetectionTask"""
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+
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+ VERSION = datasets.Version("1.1.0")
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "sentence": datasets.Value("string"),
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+ "target": datasets.ClassLabel(names=["0", "1"]),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ license=_LICENSE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+ data_dir = dl_manager.download_and_extract(_URLs)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "filepath": os.path.join(data_dir, "train.tsv"),
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+ "split": "train",
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ gen_kwargs={"filepath": os.path.join(data_dir, "test_features.tsv"), "split": "test"},
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath, split):
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+ """ Yields examples. """
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+ with open(filepath, encoding="utf-8") as f:
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+ reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
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+ for id_, row in enumerate(reader):
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+ yield id_, {
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+ "sentence": row["sentence"],
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+ "target": -1 if split == "test" else row["target"],
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+ }
dataset_infos.json ADDED
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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, "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}}
dummy/1.1.0/dummy_data.zip ADDED
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