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Download README.md from jha-lab/GraphMERT_data: direct link, hf CLI and curl.
- Browser
- Download file 730 Bytes
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https://huggingface.co/datasets/jha-lab/GraphMERT_data/resolve/main/README.md
- Command line
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hf download hf://datasets/jha-lab/GraphMERT_data/README.md
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curl -L -o README.md https://huggingface.co/datasets/jha-lab/GraphMERT_data/resolve/main/README.md
730 Bytes
| This is the dataset for [GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data](https://openreview.net/pdf?id=tnXSdDhvqc). | |
| This folder contains the training data for GraphMert model. | |
| If you use GraphMERT (code, models, data or data processing scripts) in your work, please cite our TMLR paper: | |
| ``` | |
| @article{ | |
| belova2026graphmert, | |
| title={Graph{MERT}: {E}fficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data}, | |
| author={Margarita Belova and Jiaxin Xiao and Shikhar Tuli and Niraj Jha}, | |
| journal={Transactions on Machine Learning Research}, | |
| issn={2835-8856}, | |
| year={2026}, | |
| url={https://openreview.net/forum?id=tnXSdDhvqc}, | |
| } | |
| ``` |