Which function from the options given below can read the dataset from a large text file? (1 Point)read_jsonread_pickleread_hdfread_csv

Step 1: Break Down the Problem

To solve this problem, we need to identify which function from the provided options is capable of reading a dataset from a large text file. The options given are related to reading various data formats.

Step 2: Relevant Concepts

• read_json: This function is typically used to read JSON files, not plain text files.
• read_pickle: This is used for reading data saved in Python's pickle format, not text files.
• read_hdf: This function is used for reading HDF5 files, which is a binary data format.
• read_csv: This function reads Comma-Separated Values (CSV) files, which are often stored as plain text files.

Step 3: Analysis and Detail

Given that the question specifically asks about reading data from a large text file, the function that operates on text files, particularly the format commonly associated with text datasets, is read_csv. CSV files are plain text files that store tabular data, which aligns with the concept of reading from a text file.

Step 4: Verify and Summarize

• The other options do not apply since they do not cater to large text files.
• The relevant function, read_csv, is used for reading datasets from text files structured in a comma-separated format.

Final Answer

The correct function to read the dataset from a large text file is read_csv.