payload: {"action":"opened","issue":{"url":"https://api.github.com/repos/dmlc/gluon-nlp/issues/604","repository_url":"https://api.github.com/repos/dmlc/gluon-nlp","labels_url":"https://api.github.com/repos/dmlc/gluon-nlp/issues/604/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/gluon-nlp/issues/604/comments","events_url":"https://api.github.com/repos/dmlc/gluon-nlp/issues/604/events","html_url":"https://github.com/dmlc/gluon-nlp/issues/604","id":412222611,"node_id":"MDU6SXNzdWU0MTIyMjI2MTE=","number":604,"title":"Loading SST dataset in bert.ipynb (\"Fine-tuning Sentence Pair Classification with BERT\")","user":{"login":"BerenLuthien","id":20260688,"node_id":"MDQ6VXNlcjIwMjYwNjg4","avatar_url":"https://avatars2.githubusercontent.com/u/20260688?v=4","gravatar_id":"","url":"https://api.github.com/users/BerenLuthien","html_url":"https://github.com/BerenLuthien","followers_url":"https://api.github.com/users/BerenLuthien/followers","following_url":"https://api.github.com/users/BerenLuthien/following{/other_user}","gists_url":"https://api.github.com/users/BerenLuthien/gists{/gist_id}","starred_url":"https://api.github.com/users/BerenLuthien/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/BerenLuthien/subscriptions","organizations_url":"https://api.github.com/users/BerenLuthien/orgs","repos_url":"https://api.github.com/users/BerenLuthien/repos","events_url":"https://api.github.com/users/BerenLuthien/events{/privacy}","received_events_url":"https://api.github.com/users/BerenLuthien/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-02-20T03:06:05Z","updated_at":"2019-02-20T03:06:05Z","closed_at":null,"author_association":"NONE","body":"1, `data_train = dataset.SSTDataset('dev', root='.')` gives `AttributeError: 'module' object has no attribute 'SSTDataset'`. I basically copy paste the \r\n```\r\n@register(segment=['train', 'dev', 'test'])\r\nclass SSTDataset(GLUEDataset):\r\n...\r\n      return ['0', '1']\r\n```\r\nfrom\r\nhttps://github.com/dmlc/gluon-nlp/blob/master/scripts/bert/dataset.py \r\n\r\n\r\n2, `data_train = dataset.MRPCDataset('dev', root='.')` just works even though the folder sentence_embedding/glue_data/MRPC is empty. Where the 408 MRPC data comes from ? \r\n`len(data_train) = 408`\r\n\r\nMany thanks."}}
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