Update README.md
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@ -124,7 +124,7 @@ Using a pretrained model or a model you have trained yourself, you can run on ne
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```bash
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mkdir .data/my_custom_dataset/
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touch .datda/my_custom_dataset/val.jsonl
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touch .data/my_custom_dataset/val.jsonl
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#TODO add examples line by line to val.jsonl in the form of a JSON dict: {"context": "The answer is answer.", "question": "What is the answer?", "answer": "answer"}
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nvidia-docker run -it --rm -v `pwd`:/decaNLP/ decanlp bash -c "python /decaNLP/predict.py --evaluate valid --path /decaNLP/mqan_decanlp_qa_first --checkpoint_name model.pth --gpu 0 --tasks my_custom_dataset"
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```
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