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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

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
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+ - machine-generated
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+ languages:
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+ - en
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+ licenses:
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+ - mit
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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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+ - multi-class-classification
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+ - text-classification-other-hate-speech-detection
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+ ---
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+
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+ # Dataset Card for HateOffensive
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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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+ - **Homepage** : https://arxiv.org/abs/1905.12516
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+ - **Repository** : https://github.com/t-davidson/hate-speech-and-offensive-language
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+ - **Paper** : https://arxiv.org/abs/1905.12516
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+ - **Leaderboard** :
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+ - **Point of Contact** : trd54 at cornell dot edu
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+
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+ ### Dataset Summary
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+
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+ ### Supported Tasks and Leaderboards
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+ [More Information Needed]
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+
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+ ### Languages
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+ English (`en`)
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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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+ {
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+ "count": 3,
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+ "hate_speech_annotation": 0,
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+ "offensive_language_annotation": 0,
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+ "neither_annotation": 3,
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+ "label": 2, # "neither"
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+ "tweet": "!!! RT @mayasolovely: As a woman you shouldn't complain about cleaning up your house. &amp; as a man you should always take the trash out...")
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ count: (Integer) number of users who coded each tweet (min is 3, sometimes more users coded a tweet when judgments were determined to be unreliable,
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+ hate_speech_annotation: (Integer) number of users who judged the tweet to be hate speech,
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+ offensive_language_annotation: (Integer) number of users who judged the tweet to be offensive,
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+ neither_annotation: (Integer) number of users who judged the tweet to be neither offensive nor non-offensive,
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+ label: (Class Label) integer class label for majority of CF users (0: 'hate-speech', 1: 'offensive-language' or 2: 'neither'),
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+ tweet: (string)
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+
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+ ### Data Splits
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+ This dataset is not splitted, only the train split is available.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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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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+ Usernames are not anonymized in the dataset.
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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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+ MIT License
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+
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+ ### Citation Information
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+ @inproceedings{hateoffensive,
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+ title = {Automated Hate Speech Detection and the Problem of Offensive Language},
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+ author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
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+ booktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},
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+ series = {ICWSM '17},
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+ year = {2017},
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+ location = {Montreal, Canada},
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+ pages = {512-515}
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+ }
dataset_infos.json ADDED
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+ {"default": {"description": "This dataset contains annotated tweets for automated hate-speech recognition", "citation": "\n@article{article,\nauthor = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},\nyear = {2017},\nmonth = {03},\npages = {},\ntitle = {Automated Hate Speech Detection and the Problem of Offensive Language}\n}\n", "homepage": "https://arxiv.org/abs/1905.12516", "license": "", "features": {"total_annotation_count": {"dtype": "int32", "id": null, "_type": "Value"}, "hate_speech_annotations": {"dtype": "int32", "id": null, "_type": "Value"}, "offensive_language_annotations": {"dtype": "int32", "id": null, "_type": "Value"}, "neither_annotations": {"dtype": "int32", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["hate-speech", "offensive-language", "neither"], "names_file": null, "id": null, "_type": "ClassLabel"}, "tweet": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "tweet", "output": "label"}, "builder_name": "hate_offensive", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2811298, "num_examples": 24783, "dataset_name": "hate_offensive"}}, "download_checksums": {"https://github.com/t-davidson/hate-speech-and-offensive-language/raw/master/data/labeled_data.csv": {"num_bytes": 2546446, "checksum": "fcb8bc7c68120ae4af04a5b9acd58585513ede11e1548ebf36a5c2040b6f6281"}}, "download_size": 2546446, "post_processing_size": null, "dataset_size": 2811298, "size_in_bytes": 5357744}}
dummy/1.1.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0531cb107afe7d94118d7aaed647f7e2fbd48cd194ae99646f788bbf443def18
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+ size 589
hate_offensive.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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+ """Automated Hate Speech Detection and the Problem of Offensive Language."""
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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{article,
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+ author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
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+ year = {2017},
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+ month = {03},
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+ pages = {},
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+ title = {Automated Hate Speech Detection and the Problem of Offensive Language}
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+ }
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+ """
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+
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+ _DESCRIPTION = "This dataset contains annotated tweets for automated hate-speech recognition"
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+
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+ _HOMEPAGE = "https://arxiv.org/abs/1905.12516"
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+
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+ _LICENSE = "MIT License"
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+
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+ _URLs = "https://github.com/t-davidson/hate-speech-and-offensive-language/raw/master/data/labeled_data.csv"
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+
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+
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+ class HateOffensive(datasets.GeneratorBasedBuilder):
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+ """Automated Hate Speech Detection and the Problem of Offensive Language """
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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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+ features = datasets.Features(
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+ {
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+ "total_annotation_count": datasets.Value("int32"),
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+ "hate_speech_annotations": datasets.Value("int32"),
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+ "offensive_language_annotations": datasets.Value("int32"),
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+ "neither_annotations": datasets.Value("int32"),
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+ "label": datasets.ClassLabel(names=["hate-speech", "offensive-language", "neither"]),
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+ "tweet": datasets.Value("string"),
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+ }
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+ )
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=features,
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+ supervised_keys=("tweet", "label"),
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+ homepage=_HOMEPAGE,
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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 [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir)})]
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+
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+ def _generate_examples(self, filepath):
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+ """ Yields examples. """
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+ with open(filepath, encoding="utf-8") as csv_file:
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+ csv_reader = csv.reader(
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+ csv_file, lineterminator="\n", delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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+ )
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+ next(csv_reader, None)
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+ for id_, row in enumerate(csv_reader):
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+ yield id_, {
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+ "total_annotation_count": row[1],
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+ "hate_speech_annotations": row[2],
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+ "offensive_language_annotations": row[3],
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+ "neither_annotations": row[4],
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+ "label": int(row[5]),
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+ "tweet": str(row[6]),
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+ }