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

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+- en
+licenses:
+- cc-by-sa-3-0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- intent-classification
+---
+
+# 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/Vicomtech/hate-speech-dataset
+- **Repository:** https://github.com/Vicomtech/hate-speech-dataset
+- **Paper:** https://www.aclweb.org/anthology/W18-51.pdf
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+These files contain text extracted from Stormfront, a white supremacist forum. A random set of forums posts have been sampled from 
+several subforums and split into sentences. Those sentences have been manually labelled as containing hate speech or not, according 
+to certain annotation guidelines.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+- text: the provided sentence
+- user_id: information to make it possible to re-build the conversations these sentences belong to
+- subforum_id: information to make it possible to re-build the conversations these sentences belong to
+- num_contexts: number of previous posts the annotator had to read before making a decision over the category of the sentence
+- label: hate, noHate, relation (sentence in the post doesn't contain hate speech on their own, but combination of serveral sentences does) 
+         or idk/skip (sentences that are not written in English or that don't contain information as to be classified into hate or noHate)
+
+### Data Splits
+
+[More Information Needed]
+
+## 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
+
+[More Information Needed]
+
+## 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
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@inproceedings{gibert2018hate,
+    title = "{Hate Speech Dataset from a White Supremacy Forum}",
+    author = "de Gibert, Ona  and
+      Perez, Naiara  and
+      Garc{\'\i}a-Pablos, Aitor  and
+      Cuadros, Montse",
+    booktitle = "Proceedings of the 2nd Workshop on Abusive Language Online ({ALW}2)",
+    month = oct,
+    year = "2018",
+    address = "Brussels, Belgium",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/W18-5102",
+    doi = "10.18653/v1/W18-5102",
+    pages = "11--20",
+}
+```

dataset_infos.json

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+{"default": {"description": "These files contain text extracted from Stormfront, a white supremacist forum. A random set of \nforums posts have been sampled from several subforums and split into sentences. Those sentences \nhave been manually labelled as containing hate speech or not, according to certain annotation guidelines.\n", "citation": "@inproceedings{gibert2018hate,\n    title = \"{Hate Speech Dataset from a White Supremacy Forum}\",\n    author = \"de Gibert, Ona  and\n      Perez, Naiara  and\n      Garc{'\\i}a-Pablos, Aitor  and\n      Cuadros, Montse\",\n    booktitle = \"Proceedings of the 2nd Workshop on Abusive Language Online ({ALW}2)\",\n    month = oct,\n    year = \"2018\",\n    address = \"Brussels, Belgium\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/W18-5102\",\n    doi = \"10.18653/v1/W18-5102\",\n    pages = \"11--20\",\n}\n", "homepage": "https://github.com/Vicomtech/hate-speech-dataset", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "user_id": {"dtype": "int64", "id": null, "_type": "Value"}, "subforum_id": {"dtype": "int64", "id": null, "_type": "Value"}, "num_contexts": {"dtype": "int64", "id": null, "_type": "Value"}, "label": {"num_classes": 4, "names": ["noHate", "hate", "idk/skip", "relation"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "hate_speech18", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1375340, "num_examples": 10944, "dataset_name": "hate_speech18"}}, "download_checksums": {"https://github.com/Vicomtech/hate-speech-dataset/archive/master.zip": {"num_bytes": 3664530, "checksum": "acc0d7ce40e22cf019daa752a5136049a45462b9ba4eab8bf40ea82dcd867eba"}}, "download_size": 3664530, "post_processing_size": null, "dataset_size": 1375340, "size_in_bytes": 5039870}}

dummy/0.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27604bc68f448b2e00372b185970c19b144b9682110bf3a963ee0ce0367ef20a
+size 2890

hate_speech18.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""Hate speech dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{gibert2018hate,
+    title = "{Hate Speech Dataset from a White Supremacy Forum}",
+    author = "de Gibert, Ona  and
+      Perez, Naiara  and
+      Garcia-Pablos, Aitor  and
+      Cuadros, Montse",
+    booktitle = "Proceedings of the 2nd Workshop on Abusive Language Online ({ALW}2)",
+    month = oct,
+    year = "2018",
+    address = "Brussels, Belgium",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/W18-5102",
+    doi = "10.18653/v1/W18-5102",
+    pages = "11--20",
+}
+"""
+
+_DESCRIPTION = """\
+These files contain text extracted from Stormfront, a white supremacist forum. A random set of
+forums posts have been sampled from several subforums and split into sentences. Those sentences
+have been manually labelled as containing hate speech or not, according to certain annotation guidelines.
+"""
+
+_DATA_URL = "https://github.com/Vicomtech/hate-speech-dataset/archive/master.zip"
+
+
+class HateSpeech18(datasets.GeneratorBasedBuilder):
+    """Hate speech dataset"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "user_id": datasets.Value("int64"),
+                    "subforum_id": datasets.Value("int64"),
+                    "num_contexts": datasets.Value("int64"),
+                    "label": datasets.features.ClassLabel(names=["noHate", "hate", "idk/skip", "relation"]),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/Vicomtech/hate-speech-dataset",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(_DATA_URL)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(dl_dir, "hate-speech-dataset-master")}
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+
+        with open(os.path.join(filepath, "annotations_metadata.csv"), encoding="utf-8") as csv_file:
+
+            csv_reader = csv.reader(
+                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
+            )
+
+            next(csv_reader)
+
+            for idx, row in enumerate(csv_reader):
+
+                file_id, user_id, subforum_id, num_contexts, label = row
+
+                all_files_path = os.path.join(filepath, "all_files")
+
+                path = os.path.join(all_files_path, file_id + ".txt")
+
+                with open(path, encoding="utf-8") as file:
+                    text = file.read()
+
+                yield idx, {
+                    "text": text,
+                    "user_id": user_id,
+                    "subforum_id": subforum_id,
+                    "num_contexts": num_contexts,
+                    "label": label,
+                }