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README.md

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-# Ethos
-
-This dataset is a clone of the official [`ethos` dataset](https://huggingface.co/datasets/ethos) on the Hub. It contains both `binary` and `multilabel` subsets.

binary/ethos-train.parquet

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dataset_infos.json

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-{"binary": {"description": "", "citation": "\n@misc{mollas2020ethos,\n      title={ETHOS: an Online Hate Speech Detection Dataset},\n      author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},\n      year={2020},\n      eprint={2006.08328},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n ", "homepage": "https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset/tree/masterethos/ethos_data", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["no_hate_speech", "hate_speech"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ethos", "config_name": "binary", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 124823, "num_examples": 998, "dataset_name": "ethos"}}, "download_checksums": {"https://raw.githubusercontent.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset/master/ethos/ethos_data/Ethos_Dataset_Binary.csv": {"num_bytes": 123919, "checksum": "0cd0050c2592afcb5eca5876df485ca15cda9d7d16fe32c269857260fd10d96c"}}, "download_size": 123919, "post_processing_size": null, "dataset_size": 124823, "size_in_bytes": 248742}, "multilabel": {"description": "", "citation": "\n@misc{mollas2020ethos,\n      title={ETHOS: an Online Hate Speech Detection Dataset},\n      author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},\n      year={2020},\n      eprint={2006.08328},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n ", "homepage": "https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset/tree/masterethos/ethos_data", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "violence": {"num_classes": 2, "names": ["not_violent", "violent"], "names_file": null, "id": null, "_type": "ClassLabel"}, "directed_vs_generalized": {"num_classes": 2, "names": ["generalied", "directed"], "names_file": null, "id": null, "_type": "ClassLabel"}, "gender": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}, "race": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}, "national_origin": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}, "disability": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}, "religion": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sexual_orientation": {"num_classes": 2, "names": ["false", "true"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ethos", "config_name": "multilabel", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 79112, "num_examples": 433, "dataset_name": "ethos"}}, "download_checksums": {"https://raw.githubusercontent.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset/master/ethos/ethos_data/Ethos_Dataset_Multi_Label.csv": {"num_bytes": 62836, "checksum": "488c72a1582abdaf489a6e9eceeebba505447a00a25bd02e72fd6a56f9a3d83d"}}, "download_size": 62836, "post_processing_size": null, "dataset_size": 79112, "size_in_bytes": 141948}}

ethos.py

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-"""Ethos  dataset"""
-
-
-import pandas as pd
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """
-@misc{mollas2020ethos,
-      title={ETHOS: an Online Hate Speech Detection Dataset},
-      author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},
-      year={2020},
-      eprint={2006.08328},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
- """
-
-_DESCRIPTION = """
-
-ETHOS: onlinE haTe speecH detectiOn dataSet. This repository contains a dataset for hate speech
-detection on social media platforms, called Ethos. There are two variations of the dataset:
-
-Ethos_Dataset_Binary: contains 998 comments in the dataset alongside with a label
-about hate speech presence or absence. 565 of them do not contain hate speech,
-while the rest of them, 433, contain.
-
-Ethos_Dataset_Multi_Label: which contains 8 labels for the 433 comments with hate speech content.
-These labels are violence (if it incites (1) or not (0) violence), directed_vs_general (if it is
-directed to a person (1) or a group (0)), and 6 labels about the category of hate speech like,
-gender, race, national_origin, disability, religion and sexual_orientation.
-"""
-
-_URL = "https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset"
-
-
-class EthosConfig(datasets.BuilderConfig):
-    """BuilderConfig for Ethos."""
-
-    def __init__(self, variation="binary", **kwargs):
-        """Constructs an EthosDataset.
-
-        Args:
-        variation: can be binary or multilabel
-        **kwargs: keyword arguments forwarded to super.
-        """
-        if variation.lower() == "binary":
-            self.variation = "binary"
-        elif variation.lower() == "multilabel":
-            self.variation = "multilabel"
-        else:
-            logger.warning("Wrong variation. Could be either 'binary' or 'multilabel', using 'binary' instead.")
-            self.variation = "binary"
-        super(EthosConfig, self).__init__(**kwargs)
-
-
-class Ethos(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = EthosConfig
-
-    BUILDER_CONFIGS = [
-        EthosConfig(
-            name="binary",
-            version=datasets.Version("1.0.0", ""),
-            description="Ethos Binary",
-            variation="binary",
-        ),
-        EthosConfig(
-            name="multilabel",
-            version=datasets.Version("1.0.0", ""),
-            description="Ethos Multi Label",
-            variation="multilabel",
-        ),
-    ]
-
-    def _info(self):
-        if self.config.variation == "binary":
-            f = datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=["no_hate_speech", "hate_speech"]),
-                }
-            )
-        else:
-            f = datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "violence": datasets.ClassLabel(names=["not_violent", "violent"]),
-                    "directed_vs_generalized": datasets.ClassLabel(names=["generalied", "directed"]),
-                    "gender": datasets.ClassLabel(names=["false", "true"]),
-                    "race": datasets.ClassLabel(names=["false", "true"]),
-                    "national_origin": datasets.ClassLabel(names=["false", "true"]),
-                    "disability": datasets.ClassLabel(names=["false", "true"]),
-                    "religion": datasets.ClassLabel(names=["false", "true"]),
-                    "sexual_orientation": datasets.ClassLabel(names=["false", "true"]),
-                }
-            )
-        return datasets.DatasetInfo(
-            features=f,
-            supervised_keys=None,
-            homepage="https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset/tree/masterethos/ethos_data",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        if self.config.variation == "binary":
-            url = {
-                "train": "https://raw.githubusercontent.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset"
-                "/master/ethos/ethos_data/Ethos_Dataset_Binary.csv"
-            }
-        else:
-            url = {
-                "train": "https://raw.githubusercontent.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset"
-                "/master/ethos/ethos_data/Ethos_Dataset_Multi_Label.csv"
-            }
-        downloaded_files = dl_manager.download_and_extract(url)
-
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-
-        data = pd.read_csv(filepath, delimiter=";")
-        if self.config.variation == "binary":
-
-            x = data["comment"].values
-            y = [1 if i >= 0.5 else 0 for i in data["isHate"].values]
-            class_names = ["no_hate_speech", "hate_speech"]
-            for i in range(len(x)):
-                _id = i
-                yield _id, {"text": x[i], "label": class_names[y[i]]}
-        else:
-            x = data["comment"].values
-            y_temp = data.loc[:, data.columns != "comment"].values
-            y = []
-            for yt in y_temp:
-                yi = []
-                for i in yt:
-                    if i >= 0.5:
-                        yi.append(int(1))
-                    else:
-                        yi.append(int(0))
-                y.append(yi)
-            for i in range(len(x)):
-                _id = i
-                yield _id, {
-                    "text": x[i],
-                    "violence": y[i][0],
-                    "directed_vs_generalized": y[i][1],
-                    "gender": y[i][2],
-                    "race": y[i][3],
-                    "national_origin": y[i][4],
-                    "disability": y[i][5],
-                    "religion": y[i][6],
-                    "sexual_orientation": y[i][7],
-                }

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