Hacker News
- 30% of Google's Emotions Dataset Is Mislabeled https://www.surgehq.ai/blog/30-percent-of-googles-reddit-emotions-dataset-is-mislabeled 144 comments
- 30% of Google's Reddit Emotions Dataset is Mislabeled [D] https://www.surgehq.ai/blog/30-percent-of-googles-reddit-emotions-dataset-is-mislabeled 136 comments machinelearning
Linking pages
- Human Evaluation of Large Language Models: How Good is Hugging Face's BLOOM? https://www.surgehq.ai/blog/how-good-is-hugging-faces-bloom-a-real-world-human-evaluation-of-language-models 28 comments
- HellaSwag or HellaBad? 36% of this popular LLM benchmark contains errors https://www.surgehq.ai/blog/hellaswag-or-hellabad-36-of-this-popular-llm-benchmark-contains-errors 14 comments
Linked pages
- Holy $#!t: Are popular toxicity models simply profanity detectors? https://www.surgehq.ai/blog/are-popular-toxicity-models-simply-profanity-detectors 298 comments
- 5 Examples of the Importance of Context-Sensitivity in Data-Centric AI https://www.surgehq.ai/blog/why-context-aware-datasets-are-crucial-for-data-centric-ai 5 comments
- 10 Egregious Failures in Gmail's Spam Detection https://www.surgehq.ai/blog/are-the-spammers-winning-failures-in-gmail-spam-detection 0 comments
- GoEmotions: A Dataset for Fine-Grained Emotion Classification – Google AI Blog https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html 0 comments
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