xxxllz/Chart2Code-160k
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation Github | Dataset(ModelScope) | Model | Paper Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in chart understanding tasks. However, interpreting charts with textual descriptions often leads to information loss, as it fails to fully capture the dense information embedded in charts. In contrast, parsing charts into code provides lossless representations that can… See the full description on the dataset page: https://huggingface.co/datasets/xxxllz/Chart2Code-160k.
| Author / organization | xxxllz |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 181 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 20 November 2024 |
| Last updated at source | 7 July 2025 |
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