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import transformers | |
import pandas as pd | |
def preprocess_csv(file_url): | |
""" | |
Downloads a CSV file from Hugging Face, preprocesses the data, and returns a single string. | |
Args: | |
file_url: URL of the CSV file on Hugging Face Hub. | |
Returns: | |
A string containing the preprocessed text from the CSV file. | |
""" | |
# Download the file using transformers Hub | |
file = transformers.file_download(file_url) | |
# Read the CSV data using pandas | |
df = pd.read_csv(file) | |
# Preprocess the data (replace with your specific logic) | |
# Example: Combine relevant columns into a single string | |
text = " ".join(df["column1"].tolist() + df["column2"].tolist()) | |
return text | |