Update files from the datasets library (from 1.2.0)

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

.gitattributes

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- machine-generated
+languages:
+- en
+licenses:
+- mit
+multilinguality:
+- monolingual
+size_categories:
+- 10k<n<100k
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+- text-classification-other-hate-speech-detection
+---
+
+# Dataset Card for HateOffensive
+
+## 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://arxiv.org/abs/1905.12516 
+- **Repository** : https://github.com/t-davidson/hate-speech-and-offensive-language
+- **Paper** : https://arxiv.org/abs/1905.12516 
+- **Leaderboard** : 
+- **Point of Contact** : trd54 at cornell dot edu
+
+### Dataset Summary
+
+### 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) integer 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": "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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0531cb107afe7d94118d7aaed647f7e2fbd48cd194ae99646f788bbf443def18
+size 589

hate_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.
+"""Automated Hate Speech Detection and the Problem of Offensive Language."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+_CITATION = """
+@article{article,
+author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
+year = {2017},
+month = {03},
+pages = {},
+title = {Automated Hate Speech Detection and the Problem of Offensive Language}
+}
+"""
+
+_DESCRIPTION = "This dataset contains annotated tweets for automated hate-speech recognition"
+
+_HOMEPAGE = "https://arxiv.org/abs/1905.12516"
+
+_LICENSE = "MIT License"
+
+_URLs = "https://github.com/t-davidson/hate-speech-and-offensive-language/raw/master/data/labeled_data.csv"
+
+
+class HateOffensive(datasets.GeneratorBasedBuilder):
+    """Automated Hate Speech Detection and the Problem of Offensive Language """
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "total_annotation_count": datasets.Value("int32"),
+                "hate_speech_annotations": datasets.Value("int32"),
+                "offensive_language_annotations": datasets.Value("int32"),
+                "neither_annotations": datasets.Value("int32"),
+                "label": datasets.ClassLabel(names=["hate-speech", "offensive-language", "neither"]),
+                "tweet": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=("tweet", "label"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    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)})]
+
+    def _generate_examples(self, filepath):
+        """ Yields examples. """
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(
+                csv_file, lineterminator="\n", delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
+            )
+            next(csv_reader, None)
+            for id_, row in enumerate(csv_reader):
+                yield id_, {
+                    "total_annotation_count": row[1],
+                    "hate_speech_annotations": row[2],
+                    "offensive_language_annotations": row[3],
+                    "neither_annotations": row[4],
+                    "label": int(row[5]),
+                    "tweet": str(row[6]),
+                }