Clarify dataset specs in README (#3)
Browse files- Clarify dataset specs in README (53b88ac922560b38f98bc3e19b1ac0f532dca501)
Co-authored-by: Julia Kruk <[email protected]>
README.md
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**A dataset of *potential* dogwhistle use cases in informal discourse.** A dog whistle is a form of coded communication that carries a secondary meaning to specific audiences and is often weaponized for racial and socioeconomic discrimination. Dog whistling historically originated from United States politics, but in recent years has taken root in social media as a means of evading hate speech detection systems and maintaining plausible deniability.
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**This dataset contains over 6 million excepts from Reddit comments that contain a dogwhistle term, created via keyword search on terms in the [Allen AI Dogwhistle Glossary](https://dogwhistles.allen.ai/)
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*Although we collect over 7 million potential dog whistle instances, due to resource constraints, we only sample 100,000 instances for the creation of the Silent Signals dataset. **Therefore, we release the Potential Dog Whistle Dataset to enable the open sourced expansion of the Silent Signals dataset.***
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**A dataset of *potential* dogwhistle use cases in informal discourse.** A dog whistle is a form of coded communication that carries a secondary meaning to specific audiences and is often weaponized for racial and socioeconomic discrimination. Dog whistling historically originated from United States politics, but in recent years has taken root in social media as a means of evading hate speech detection systems and maintaining plausible deniability.
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**This dataset contains over 6 million excepts from Reddit comments that contain a dogwhistle term, created via keyword search on terms in the [Allen AI Dogwhistle Glossary](https://dogwhistles.allen.ai/). Therefore, many of the excerpts are using these terms in a non-coded, non-discriminatory sense.** This dataset was used as input to our approach for word-sense disambiguation of dog whistles from standard speech using Large Language Models (LLMs), which then seperated the coded and non-coded instances. Please see the paper linked below for more details.
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*Although we collect over 7 million potential dog whistle instances, due to resource constraints, we only sample 100,000 instances for the creation of the Silent Signals dataset. **Therefore, we release the Potential Dog Whistle Dataset to enable the open sourced expansion of the Silent Signals dataset.***
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