About Chinese datasets about pure HOT 5 CLOSED

We trained and evaluated our models on English datasets, and our released models can only handle English.

However, you can definitely train your own models on the other datasets or in other languages using our code. To do so, besides converting the dataset into the format described in the repo, you need to add labels of the dataset in shared/const.py and add the dataset into the argument --task in run_entity.py and run_relation.py.

If your data is in Chinese, you may want to use a pre-trained language model that supports Chinese (e.g., bert-base-multilingual-uncased).

Hope this helps!

from pure.

We trained and evaluated our models on English datasets, and our released models can only handle English.

However, you can definitely train your own models on the other datasets or in other languages using our code. To do so, besides converting the dataset into the format described in the repo, you need to add labels of the dataset in shared/const.py and add the dataset into the argument --task in run_entity.py and run_relation.py.

If your data is in Chinese, you may want to use a pre-trained language model that supports Chinese (e.g., bert-base-multilingual-uncased).

Hope this helps!

thanks a lot!

from pure.

Great job. So, if I change these codes, will I be able to use your code on any data set of the same task ?

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@YaoXinZhi Yes, the code should work on other datasets of the entity-relation extraction task.

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Can this code deal with chinese text please?

大佬，你好，我在跑对比实验，能否分享一份可以在中文数据集上跑通的代码以及几条数据示例（好用chatgpt快速完成数据格式转换），我的邮箱是[email protected]，感激不尽！

from pure.