NL4DV takes a natural language query about a given dataset as input and outputs a structured JSON object containing:
- Data attributes,
- Analytic tasks, and
- Visualizations (Vega-Lite specifications)
With this output, developers can
- Create visualizations in Python using natural language, and/or
- Add a natural language interface to their existing visualization systems.
These can all be found on NL4DV's project website.
NL4DV was created by Arpit Narechania, Arjun Srinivasan, Rishab Mitra, Alex Endert, and John Stasko of the Georgia Tech Visualization Lab. Along with Subham Sah, and Wenwen Dou of the Ribarsky Center for Visual Analytics at UNC Charlotte.
We thank the members of the Georgia Tech Visualization Lab for their support and constructive feedback.
@article{narechania2021nl4dv,
title = {{NL4DV}: A {Toolkit} for Generating {Analytic Specifications} for {Data Visualization} from {Natural Language} Queries},
shorttitle = {{NL4DV}},
author = {{Narechania}, Arpit and {Srinivasan}, Arjun and {Stasko}, John},
journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},
doi = {10.1109/TVCG.2020.3030378},
year = {2021},
publisher = {IEEE}
}@inproceedings{mitra2022conversationalinteraction,
title = {{Facilitating Conversational Interaction in Natural Language Interfaces for Visualization}},
author = {{Mitra}, Rishab and {Narechania}, Arpit and {Endert}, Alex and {Stasko}, John},
booktitle={2022 IEEE Visualization Conference (VIS)},
url = {https://doi.org/10.48550/arXiv.2207.00189},
doi = {10.48550/arXiv.2207.00189},
year = {2022},
publisher = {IEEE}
}@misc{sah2024nl4dvllm,
title={Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models},
author={{Sah}, Subham and {Mitra}, Rishab and {Narechania}, Arpit and {Endert}, Alex and {Stasko}, John and {Dou}, Wenwen},
year={2024},
eprint={2408.13391},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2408.13391},
howpublished={Presented at the NLVIZ Workshop, IEEE VIS 2024}
}The software is available under the MIT License.
If you have any questions, feel free to open an issue or contact Arpit Narechania.