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我在 G 盘中存储了一个 csv 文件，并尝试将其加载到 torchtext data.TabularDataset。错误消息是“FileNotFoundError: [Errno 2] No such file or directory: 'https://.....'”

是否无法将g盘中的csv文件直接加载到torchtext TabularDataset？

这是代码。我还制作了一个公开的colab 笔记本，其中包含公开可用的数据。

import torch
from torchtext import data, datasets

!pip install -U -q PyDrive
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials

auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)

TEXT = data.Field(tokenize = 'spacy', batch_first = True, lower=False)  
LABEL = data.LabelField(sequential=False, dtype = torch.float) 

train = data.TabularDataset(path = 'https://drive.google.com/open?id=1eWMjusU3H34m0uml5SdJvYX6gQuB8zta', 
                            format = 'csv', 
                            fields = [('Insult', LABEL), (None, None), ('Comment', TEXT)], 
                            skip_header=False)
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1 回答 1

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假设您有能力下载此 CSV 文件。我建议您在 torchtext: 上使用内置功能download_from_url。

import os
import torch
from torchtext import data, datasets
from torchtext.utils import download_from_url

# download the file
CSV_FILENAME = 'data.csv'
CSV_GDRIVE_URL = 'https://drive.google.com/uc?export=download&id=1eWMjusU3H34m0uml5SdJvYX6gQuB8zta'
download_from_url(CSV_GDRIVE_URL, CSV_FILENAME)

TEXT = data.Field(tokenize = 'spacy', batch_first = True, lower=False)  #from torchtext import data
LABEL = data.LabelField(sequential=False, dtype = torch.float) 

# if you're on Colab, you'll need this /content
train = data.TabularDataset(path=os.path.join('/content', CSV_FILENAME),
                            format='csv',
                            fields = [('Insult', LABEL), (None, None), ('Comment', TEXT)],
                            skip_header=False )

请注意，Google Drive 链接不应是带有 的链接open?id，而应将其更改为uc?export=download&id。

于 2020-04-07T00:42:42.263 回答