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README.md
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DReAMy can be easily installed via `pip install dreamy` β we do recommend using a virtual env running python 3.9. Please refer to the git-repo for code, examples and tutorials. If you wish to test/query (a set of) DReAMy's model, try out a Space below.
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Lastly, if you use a model in your work, please
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```bibtex
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@misc{https://doi.org/10.48550/arxiv.2302.14828,
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doi = {10.48550/ARXIV.2302.14828},
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url = {https://arxiv.org/abs/2302.14828},
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author = {Bertolini, Lorenzo and Elce, Valentina and Michalak, Adriana and Bernardi, Giulio and Weeds, Julie},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Automatic Scoring of Dream Reports' Emotional Content with Large Language Models},
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publisher = {arXiv},
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year = {2023},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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```
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DReAMy can be easily installed via `pip install dreamy` β we do recommend using a virtual env running python 3.9. Please refer to the git-repo for code, examples and tutorials. If you wish to test/query (a set of) DReAMy's model, try out a Space below.
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Lastly, if you use a model in your work, please cite the pre-print.
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```bibtex
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@misc{https://doi.org/10.48550/arxiv.2302.14828,
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doi = {10.48550/ARXIV.2302.14828},
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url = {https://arxiv.org/abs/2302.14828},
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author = {Bertolini, Lorenzo and Elce, Valentina and Michalak, Adriana and Bernardi, Giulio and Weeds, Julie},
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title = {Automatic Scoring of Dream Reports' Emotional Content with Large Language Models},
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publisher = {arXiv},
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year = {2023},
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}
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```
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