CharXiv

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs NeurIPS 2024 🏠Home (🚧Still in construction) 🤗Data 🥇Leaderboard 🖥️Code 📄Paper This repo contains the full dataset for our paper CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs, which is a diverse and challenging chart understanding benchmark fully curated by human experts. It includes 2,323 high-resolution charts manually sourced from arXiv preprints. Each chart is… See the full description on the dataset page:

Source: Hugging Face Hub (princeton-nlp/CharXiv). Metadata imported from the dataset’s Hub tags.