Comments (10)
_NLC_TRAIN_URL = "http://neuron.stanford.edu/nlc/data/nlc-train.tar"
_NLC_DEV_URL = "http://neuron.stanford.edu/nlc/data/nlc-valid.tar"
Now the url is available and the dataset seems to be Lang-8. Besides, CoNLL dataset can be obtained from its official website.
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Hi Jun,
Thanks for testing the code. This is still under development as the porting is not yet complete.
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@zxie @avati @xubenben I requested the lang-8 corpora by emailing [email protected] but was rejected by the email server. It seems that this email address is no longer available. Could anyone provide a new lang-8 corpora?
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@xubenben I could not get any responses from [email protected] , too, could you provide me with lang-8 or CoNLL datasets? Thank you.
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@huangshenno1
Thank you!
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Closing this for now; please open new issue if encounter other problems.
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"http://neuron.stanford.edu/nlc/data/nlc-train.tar"
the url is unavailable , could you provide me with lang-8 or CoNLL datasets? Thank you.
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@y521263 You can send an email to "[email protected]", and ask for the lang-8 datasets.
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@y521263 , @babaozhouy5 what is the updated url for the dataset
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@xubenben @avati @zxie
since the URL link is not working.
_NLC_TRAIN_URL = "http://neuron.stanford.edu/nlc/data/nlc-train.tar"
_NLC_DEV_URL = "http://neuron.stanford.edu/nlc/data/nlc-valid.tar"
Can you please guide me in what format it returns data. I have CoNLL -2014 shared task dataset. Kindly guide us so that I can make relevant changes. Please reply at the earliest.
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Related Issues (17)
- error at line ret_vars = tf.while_loop(cond=beam_cond, body=beam_step, loop_vars=loop_vars, back_prop=False) of function setup_beam HOT 5
- Is the original Theano code available as well? HOT 2
- Minor detail on decoder's init_state HOT 3
- beam search using DynamicAttentionWrapper
- data url invalid HOT 3
- Unaviable data HOT 4
- no method to create vocab.dat
- Which TF version to use? HOT 1
- The link in the Other Implementations is not working
- Is downscale still used?
- Support PyTorch
- Can't get the data HOT 2
- tar files can not download HOT 3
- how to use lang-8 and CoNLL data? HOT 5
- Exploding gradients for long running task HOT 1
- Inputs to forward/backward RNN are the same HOT 1
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