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README.md
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---
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languages:
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- en
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100K
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source_datasets:
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- derived
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task_categories:
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- text-classification
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---
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# Dataset Card for hate-multi
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Dataset Creation](#dataset-creation)
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- [Source Data](#source-data)
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## Dataset Description
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### Dataset Summary
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This dataset contains a collection of text labeled as hate speech (class 1) or not (class 0).
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## Dataset Creation
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The dataset was creating by aggregating multiple publicly available datasets.
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### Source Data
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The following datasets were used:
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* https://huggingface.co/datasets/hate_speech18 - Filtered to remove examples labeled as 'idk/skip', 'relation'
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* https://huggingface.co/datasets/hate_speech_offensive - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'offensive language'
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* https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced with hatespeech == 1
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