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README.md

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----
-annotations_creators:
-- expert-generated
-- crowdsourced
-language_creators:
-- found
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids: []
-paperswithcode_id: hate-speech-and-offensive-language
-pretty_name: Hate Speech and Offensive Language
-train-eval-index:
-- config: default
-  task: text-classification
-  task_id: multi_class_classification
-  splits:
-    train_split: train
-  col_mapping:
-    tweet: text
-    label: target
-  metrics:
-  - type: accuracy
-    name: Accuracy
-  - type: f1
-    name: F1 macro
-    args:
-      average: macro
-  - type: f1
-    name: F1 micro
-    args:
-      average: micro
-  - type: f1
-    name: F1 weighted
-    args:
-      average: weighted
-  - type: precision
-    name: Precision macro
-    args:
-      average: macro
-  - type: precision
-    name: Precision micro
-    args:
-      average: micro
-  - type: precision
-    name: Precision weighted
-    args:
-      average: weighted
-  - type: recall
-    name: Recall macro
-    args:
-      average: macro
-  - type: recall
-    name: Recall micro
-    args:
-      average: micro
-  - type: recall
-    name: Recall weighted
-    args:
-      average: weighted
-tags:
-- hate-speech-detection
-dataset_info:
-  features:
-  - name: count
-    dtype: int64
-  - name: hate_speech_count
-    dtype: int64
-  - name: offensive_language_count
-    dtype: int64
-  - name: neither_count
-    dtype: int64
-  - name: class
-    dtype:
-      class_label:
-        names:
-          0: hate speech
-          1: offensive language
-          2: neither
-  - name: tweet
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3207826
-    num_examples: 24783
-  download_size: 2546446
-  dataset_size: 3207826
----
-
-# 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:** https://github.com/t-davidson/hate-speech-and-offensive-language
-- **Repository:** https://github.com/t-davidson/hate-speech-and-offensive-language
-- **Paper:** https://arxiv.org/abs/1703.04009
-- **Leaderboard:**
-- **Point of Contact:** https://docs.google.com/forms/d/e/1FAIpQLSdrPNlfVBlqxun2tivzAtsZaOoPC5YYMocn-xscCgeRakLXHg/viewform?usp=pp_url&entry.1506871634&entry.147453066&entry.1390333885&entry.516829772
-
-### Dataset Summary
-
-An annotated dataset for hate speech and offensive language detection on tweets.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-English (`en`)
-
-## Dataset Structure
-
-### Data Instances
-```
-{
-"count": 3,
- "hate_speech_annotation": 0,
- "offensive_language_annotation": 0,
- "neither_annotation": 3,
- "label": 2,  # "neither"
- "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...")
-}
-```
-
-### Data Fields
-```
-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,
-hate_speech_annotation: (Integer) number of users who judged the tweet to be hate speech,
-offensive_language_annotation: (Integer) number of users who judged the tweet to be offensive,
-neither_annotation: (Integer) number of users who judged the tweet to be neither offensive nor non-offensive,
-label: (Class Label) class label for majority of CF users (0: 'hate-speech', 1: 'offensive-language' or 2: 'neither'),
-tweet: (string)
-```
-
-### Data Splits
-This dataset is not splitted, only the train split is available.
-
-## 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
-Usernames are not anonymized in the dataset.
-
-
-## 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
-MIT License
-
-### Citation Information
-@inproceedings{hateoffensive,
-  title = {Automated Hate Speech Detection and the Problem of Offensive Language},
-  author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar}, 
-  booktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},
-  series = {ICWSM '17},
-  year = {2017},
-  location = {Montreal, Canada},
-  pages = {512-515}
-  }
-
-### Contributions
-
-Thanks to [@hugoabonizio](https://github.com/hugoabonizio) for adding this dataset.

dataset_infos.json

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-{"default": {"description": "An annotated dataset for hate speech and offensive language detection on tweets.\n", "citation": "@inproceedings{hateoffensive,\ntitle = {Automated Hate Speech Detection and the Problem of Offensive Language},\nauthor = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},\nbooktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},\nseries = {ICWSM '17},\nyear = {2017},\nlocation = {Montreal, Canada},\npages = {512-515}\n}\n", "homepage": "https://github.com/t-davidson/hate-speech-and-offensive-language", "license": "MIT", "features": {"count": {"dtype": "int64", "id": null, "_type": "Value"}, "hate_speech_count": {"dtype": "int64", "id": null, "_type": "Value"}, "offensive_language_count": {"dtype": "int64", "id": null, "_type": "Value"}, "neither_count": {"dtype": "int64", "id": null, "_type": "Value"}, "class": {"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": "class"}, "builder_name": "hate_speech_offensive", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3207826, "num_examples": 24783, "dataset_name": "hate_speech_offensive"}}, "download_checksums": {"https://raw.githubusercontent.com/t-davidson/hate-speech-and-offensive-language/master/data/labeled_data.csv": {"num_bytes": 2546446, "checksum": "fcb8bc7c68120ae4af04a5b9acd58585513ede11e1548ebf36a5c2040b6f6281"}}, "download_size": 2546446, "post_processing_size": null, "dataset_size": 3207826, "size_in_bytes": 5754272}}

default/hate_speech_offensive-train.parquet

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+oid sha256:10aa71180e9afd3e4a3b8102a60b3912383d2d7d6920e3e6a0bce988b10ce045
+size 1627671

hate_speech_offensive.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.
-"""An annotated dataset for hate speech and offensive language detection on tweets."""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{hateoffensive,
-title = {Automated Hate Speech Detection and the Problem of Offensive Language},
-author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
-booktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},
-series = {ICWSM '17},
-year = {2017},
-location = {Montreal, Canada},
-pages = {512-515}
-}
-"""
-
-_DESCRIPTION = """\
-An annotated dataset for hate speech and offensive language detection on tweets.
-"""
-
-_HOMEPAGE = "https://github.com/t-davidson/hate-speech-and-offensive-language"
-
-_LICENSE = "MIT"
-
-_URL = "https://raw.githubusercontent.com/t-davidson/hate-speech-and-offensive-language/master/data/labeled_data.csv"
-
-_CLASS_MAP = {
-    "0": "hate speech",
-    "1": "offensive language",
-    "2": "neither",
-}
-
-
-class HateSpeechOffensive(datasets.GeneratorBasedBuilder):
-    """An annotated dataset for hate speech and offensive language detection on tweets."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "count": datasets.Value("int64"),
-                    "hate_speech_count": datasets.Value("int64"),
-                    "offensive_language_count": datasets.Value("int64"),
-                    "neither_count": datasets.Value("int64"),
-                    "class": datasets.ClassLabel(names=["hate speech", "offensive language", "neither"]),
-                    "tweet": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=("tweet", "class"),
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        data_file = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_file,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.reader(f)
-            for id_, row in enumerate(reader):
-                if id_ == 0:
-                    continue
-
-                yield id_, {
-                    "count": row[1],
-                    "hate_speech_count": row[2],
-                    "offensive_language_count": row[3],
-                    "neither_count": row[4],
-                    "class": _CLASS_MAP[row[5]],
-                    "tweet": row[6],
-                }