Comments (6)
I have found this : https://github.com/abisee/cnn-dailymail
Is that what I should do ?
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Yeah.. Also, cnn-dailymail abstracts are created by merging multiple sentences (multiple python strings) which is not the case of gigaword abstracts (single python string). So you need to take care of this difference while using my batcher.py file. I suggest you to take a look at this where they create .bin files for cnn-dailymail in pytorch
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thank you very much~
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@Stephen-Adams Could you please share your modifications?
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@rohithreddy024 can you explain why use bin file but not txt file? Thanks.
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@kscp123 I am using the same batcher.py file as that of this and this. So I am following their bin format convention. As for as the use cases of binary formatted input, you can just google them.
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Related Issues (20)
- intra decoder code doesn't match paper HOT 4
- No coverage for pointer generator? HOT 1
- Training time HOT 1
- can use_gound_truth make result better? why use_gound_truth? HOT 1
- Results on CNN/DM dataset? HOT 2
- the problem of x_t HOT 1
- No such file file or directory "data/vocab"
- python2 not support tensorflow HOT 2
- RuntimeError: CUDA error: device-side assert triggered while running MLE + RL training HOT 1
- Accessing examples HOT 2
- article portion is not there HOT 2
- RL results are worse than Mle results in Rouge-1,2 HOT 3
- How long it takes in a non GPU system HOT 3
- Error in validation and testing HOT 1
- Error in beam_search.py HOT 1
- Are encoder decoder in model. py GAE?
- How to predict a single summary after training?
- determine max and min summary lengths
- please provide the best trained model
- Type error in line 151
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