https://github.com/dmis-lab/cookingsense

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)
https://github.com/dmis-lab/cookingsense

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CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)

• Host: GitHub
• URL: https://github.com/dmis-lab/cookingsense
• Owner: dmis-lab
• Created: 2024-03-11T08:49:00.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-08-07T07:01:39.000Z (5 months ago)
• Last Synced: 2024-08-07T10:26:40.248Z (5 months ago)
• Language: Python
• Size: 18.6 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CookingSense

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)

* [Paper](https://aclanthology.org/2024.lrec-main.354/)

## Prerequisite 

* Install prerequisite

```

conda create -n cs python=3.10

conda activate cs

pip install -r requirements.txt

```

* Download this file ([Dropbox](https://www.dropbox.com/scl/fi/v2f7zaym12yusacvbddhy/datasets.zip?rlkey=36x1rcwmyup7qb85eadv2ooe9&st=ny3tdq9i&dl=0), [GoogleDrive](https://drive.google.com/file/d/1R8lwj2YWuwf248ice2gj-SpCUb-JSLsn/view?usp=sharing)) and extract to './test/'.

* So, the directory should be 

```

./test/datasets

├── biomedical

├── checkpoints

│   └── fine-tuned-bert-large

├── commons

├── recipedb

└── saved

    └── paper

```

* Install this project as a package

```

pip install .

```

## Runfile

* This test file contains to get datasets for each domains

```

cd test

python run.py

```