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README.md
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Data: https://github.com/Strong-AI-Lab/PARARULE-Plus
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## How to load the dataset?
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```
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from datasets import load_dataset
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You can follow the `text-classification` [example code](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification#text-classification-examples) from huggingface.
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Here is a script to run the code.
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```
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python run_glue_no_trainer.py \
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--model_name_or_path bert-base-cased \
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Data: https://github.com/Strong-AI-Lab/PARARULE-Plus
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In this huggingface version, we pre-processed the dataset and use `1` to represent `true` and `0` to represent `false` to better help user train model.
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## How to load the dataset?
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```
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from datasets import load_dataset
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You can follow the `text-classification` [example code](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification#text-classification-examples) from huggingface.
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Here is a script to run the code. You can change the model name if you want.
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```
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python run_glue_no_trainer.py \
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--model_name_or_path bert-base-cased \
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