在colab noteb中定义google驱动器中文件的路径

Question

我刚从python开始，我试图从colab笔记本中改编一段代码，即：

path_to_zip = tf.keras.utils.get_file(
    'cornell_movie_dialogs.zip',
    origin='http://www.cs.cornell.edu/~cristian/data/cornell_movie_dialogs_corpus.zip',
    extract=True)

path_to_dataset = os.path.join(
    os.path.dirname(path_to_zip), "cornell movie-dialogs corpus")

path_to_movie_lines = os.path.join(path_to_dataset, 'movie_lines.txt')
path_to_movie_conversations = os.path.join(path_to_dataset,
                                           'movie_conversations.txt')

当我在连接的google驱动器中创建了一个包含这些文件的文件夹时，我试图指向这些文件，而不是使用上面的代码来下载和提取zip文件。在

我尝试了取消注释和注释的方式：

^{pr2}$

但是当我运行下一段代码时，我得到FileNotFoundError: [Errno 2] No such file or directory: 'drive/My Drive/fixit/data actual/movie_lines.txt'。 访问这些文件的正确方法是什么？ 一如既往，非常感谢。在

def preprocess_sentence(sentence):
  sentence = sentence.lower().strip()
  # creating a space between a word and the punctuation following it
  # eg: "he is a boy." => "he is a boy ."
  sentence = re.sub(r"([?.!,])", r" \1 ", sentence)
  sentence = re.sub(r'[" "]+', " ", sentence)
  # replacing everything with space except (a-z, A-Z, ".", "?", "!", ",")
  sentence = re.sub(r"[^a-zA-Z?.!,]+", " ", sentence)
  sentence = sentence.strip()
  # adding a start and an end token to the sentence
  return sentence


def load_conversations():
  # dictionary of line id to text
  id2line = {}
  with open(path_to_movie_lines, errors='ignore') as file:
    lines = file.readlines()
  for line in lines:
    parts = line.replace('\n', '').split(' +++$+++ ')
    id2line[parts[0]] = parts[4]

  inputs, outputs = [], []
  with open(path_to_movie_conversations, 'r') as file:
    lines = file.readlines()
  for line in lines:
    parts = line.replace('\n', '').split(' +++$+++ ')
    # get conversation in a list of line ID
    conversation = [line[1:-1] for line in parts[3][1:-1].split(', ')]
    for i in range(len(conversation) - 1):
      inputs.append(preprocess_sentence(id2line[conversation[i]]))
      outputs.append(preprocess_sentence(id2line[conversation[i + 1]]))
      if len(inputs) >= MAX_SAMPLES:
        return inputs, outputs
  return inputs, outputs

Answer 1

我想你不能直接从Colab使用Google驱动器的文件。首先，您必须在colab中运行以下代码才能将Google驱动器装载到colab：

from google.colab import drive
drive.mount('/gdrive')
%cd /gdrive

那么

^{pr2}$

并将数据集路径更改为：

path_to_dataset = 'data actual'

或者您不再需要“路径”到“数据集”，只需删除它，然后将代码改为：

path_to_movie_lines = 'movie_lines.txt' 
path_to_movie_conversations = 'movie_conversations.txt'

试着删除数据集的路径。这两种方法中有一种是可行的。在

在我以前的项目中，我没有使用到数据集的路径，我只是直接使用dataset.txt文件，就像它们与我的笔记本在同一个文件夹中一样。在

对不起，我的英语不好。在