Evaluation datasets for LuperQ
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https://data.mendeley.com/datasets/97m8pprdw9
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资源简介:
This package provides everything you need to repeat the experimentation for LuperQ.
DATA
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This folder provides the full repository used to perform the experimentation. It has the following sub-folders:
- nishida: this folder provides the experimental tables in a format that is amenable to be used with Nishida et. al.'s proposal.
- original_tables: this folder provides the experimental tables in a format that is amenable to be used with the other proposals.
- tomate: this folder has some meta-data that are used for validation purposes. The annotation tool is available at http://tomatera.tdg-seville.info.
There are also some additional files:
- Cambria2.ttf: this is the font used in the notebook; installing it is optional.
- enwiki_20180420_100d.txt: this are the embeddings computed to experiment with Nishida et. al.'s proposal.
- text-metadata-dict.pk: this is a dictionary with meta-data about the tables used in the experimentation.
NOTEBOOK
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This folder provides the notebook that we prepared to perform the experimentation. Before you run it for the first time, we recommend that you should:
- Create a conda environment called "luperq" in which you must install Python 3.7.
- Activate the "luperq" environment.
- Install the dependencies with "pip install -r requirements.txt".
- Install notebook conda kernels with "conda install -n luperq nb_conda_kernels"
- Install jupyter kernel with "conda install -c anaconda ipykernel"
- Install jupyter kernel into the "luperq" environment with "python -m ipykernel install --user --name=luperq"
To launch the experimentation environment, please, run command "launch.cmd" in Windows and "./launch.sh" in Linux. This will open the folder in Jupyter. Please, select the notebook called "Experimental-Analysis.ipynb" and follow the instructions therein.
NOTES
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LuperQ requires access to the D-Wave D-2000 Quantum Processor. Please, make your browser for https://www.dwavesys.com/ and follow the instructions therein to create your account and to install the access key required to use their processor. To facilitate testing LuperQ, this implementation uses a Simulated Annealing Sampler provided by D-Wave. Please, change it if you have a D-Wave account.
创建时间:
2021-04-29



