Create scripts/paraquet_conversion.R

scripts/paraquet_conversion.R

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+# Install required packages if not already installed
+if (!requireNamespace("arrow", quietly = TRUE)) {
+  install.packages("arrow")
+}
+if (!requireNamespace("data.table", quietly = TRUE)) {
+  install.packages("data.table")
+}
+
+library(arrow)
+library(data.table)
+
+# URL of the CSV file
+url <- "https://huggingface.co/datasets/cjerzak/LinkOrgs/resolve/main/PosMatches_mat.csv"
+
+# Temporary file path to save the downloaded CSV
+temp_file <- tempfile(fileext = ".csv")
+
+# Download the CSV file
+download.file(url, temp_file, mode = "wb")
+
+# Read the CSV file. Assuming it may not have headers, we'll add them.
+# If it does have headers, set header = TRUE and skip the colnames line.
+data <- fread(temp_file, header = FALSE)
+
+# Add column names if needed (assuming 256 columns based on common structure)
+if (ncol(data) == 256) {
+  setnames(data, paste("D", 1:256, sep = ""))
+} else {
+  # Adjust based on actual number of columns
+  setnames(data, paste("V", 1:ncol(data), sep = ""))
+}
+
+# Write the data to Parquet format, which is efficient and preferred for large datasets on Hugging Face
+write_parquet(data, "~/Downloads/PosMatches_mat.parquet")
+
+# Optional: Clean up temporary file
+unlink(temp_file)
+
+# Message
+cat("Data has been downloaded, processed, and saved as PosMatches_mat.parquet\n")