copenlu/scientific-exaggeration-detection download history

copenlu/scientific-exaggeration-detection is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 168 times (45 in the last 7 days), and 11,294 times in total. It ranks #77,674 among datasets by monthly downloads.

Dataset Card for Scientific Exaggeration Detection Dataset Summary Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent scientific papers by exaggerating thei

Models trained on scientific-exaggeration-detection

6 models list it as training data.

• sileod/deberta-v3-base-tasksource-nli 11K downloads in 30 days
• tasksource/deberta-small-long-nli 9.4K downloads in 30 days
• tasksource/deberta-base-long-nli 1.7K downloads in 30 days
• sileod/deberta-v3-large-tasksource-nli 1.1K downloads in 30 days
• sileod/deberta-v3-xsmall-tasksource-nli 62 downloads in 30 days
• zeroMN/SHMT 42 downloads in 30 days

Open copenlu/scientific-exaggeration-detection on Hugging Face

Sister project: Paper Pulse, the upvote history of every Hugging Face Daily Paper.