How do I obtain URL to download the csv files of Tensorflow datasets?

Question

In TensorFlow examples, I can see URLs to download the csv format of the dataset. For example,

Iris- https://storage.googleapis.com/download.tensorflow.org/data/iris_training.csv

Titanic- https://storage.googleapis.com/tf-datasets/titanic/train.csv

However, I can't find the URL for every dataset in TensorFlow that are listed over her. (https://www.tensorflow.org/datasets/catalog/overview).

Answer 1

you don't need the URLs. Tensorflow datasets are already ready to use. check out the tutorial here tfds guide

For titanic, it is available here titanic structured dataset

Hope this would help :)

Answer 2

TensorFlow Datasets is having a collection of ready-to-use datasets. loaded from tfds - "Dataset downloaded and prepared to /root/tensorflow_datasets/iris/2.0.0. Subsequent calls will reuse this data. "- really covinient... but if you'd better take dataset from url (see here - pipelines are convinient):

# https://www.tensorflow.org/guide/data#consuming_csv_data
import tensorflow as tf
import pandas as pd

# test_file = tf.keras.utils.get_file("temperature.csv", "https://raw.githubusercontent.com/jbrownlee/Datasets/master/daily-min-temperatures.csv")

titanic_file = tf.keras.utils.get_file("train.csv", "https://storage.googleapis.com/tf-datasets/titanic/train.csv")
df = pd.read_csv(titanic_file)
df.head()
# make dataset from pandas:
myDataset = tf.data.Dataset.from_tensor_slices(dict(df))

for feature_batch in myDataset.take(1):
  for key, value in feature_batch.items():
    print("  {!r:20s}: {}".format(key, value))

titanic_lines = tf.data.TextLineDataset(titanic_file)
for line in titanic_lines.take(10):
   print(line.numpy())

here are different Datasets & Flows also