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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],
+                }