Update files from the datasets library (from 1.2.0)

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

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+- crowdsourced
+language_creators:
+- found
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10k<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- text-classification-other-hate-speech-detection
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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)
+
+## 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}
+  }

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}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d42ec225b8fd781c15f1ef78875eb489e2baa33164996467378ce7e79c2bff21
+size 589

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."""
+
+from __future__ import absolute_import, division, print_function
+
+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],
+                }