diff --git a/data/template/utils/get_translation_parquet_dataset.py b/data/template/utils/get_translation_parquet_dataset.py
new file mode 100644
index 0000000000..59e86d247a
--- /dev/null
+++ b/data/template/utils/get_translation_parquet_dataset.py
@@ -0,0 +1,145 @@
+"""Utilities for flattening translation columns in Parquet datasets."""
+from __future__ import annotations
+
+import argparse
+import json
+import os
+from typing import Iterable, Sequence, Tuple
+
+from .get_parquet_dataset import convert_to_json, download_file, find_parquet_links
+
+
+def emit_translation_items(
+    json_path: str,
+    output_path: str,
+    language_prefixes: Sequence[Tuple[str, str]],
+) -> None:
+    """Emit flattened translation rows from ``json_path`` into ``output_path``.
+
+    Parameters
+    ----------
+    json_path:
+        Path to the JSON file produced from a Parquet shard.
+    output_path:
+        File where the flattened text should be appended.
+    language_prefixes:
+        Ordered collection of (language, prefix) tuples. Each translation entry
+        writes one line per language using the associated prefix when the
+        translation text is present.
+    """
+    if not language_prefixes:
+        return
+
+    with open(json_path, "r", encoding="utf-8") as handle:
+        records = json.load(handle)
+
+    if not isinstance(records, list):
+        return
+
+    os.makedirs(os.path.dirname(output_path) or ".", exist_ok=True)
+
+    with open(output_path, "a", encoding="utf-8") as out_handle:
+        for record in records:
+            translation = record.get("translation")
+            if not isinstance(translation, dict):
+                continue
+
+            segments = []
+            for language, prefix in language_prefixes:
+                text = translation.get(language)
+                if not text:
+                    continue
+                segments.append(f"{prefix}{text}")
+
+            if segments:
+                out_handle.write("\n".join(segments) + "\n\n")
+
+
+def download_translation_dataset(
+    url: str,
+    output_text_file: str,
+    language_prefixes: Sequence[Tuple[str, str]],
+    append: bool = False,
+) -> None:
+    """Download, convert, and flatten translation datasets from ``url``.
+
+    The function downloads all Parquet files advertised at ``url`` (typically a
+    Hugging Face dataset folder), converts them to JSON if necessary, and emits
+    flattened text records to ``output_text_file`` using the provided language
+    prefixes.
+    """
+    parquet_links = find_parquet_links(url)
+    download_dir = "./downloaded_parquets"
+    json_dir = "./json_output"
+    os.makedirs(download_dir, exist_ok=True)
+    os.makedirs(json_dir, exist_ok=True)
+
+    if not append:
+        open(output_text_file, "w", encoding="utf-8").close()
+
+    for link in parquet_links:
+        file_name = link.split("/")[-1].split("?")[0]
+        parquet_path = os.path.join(download_dir, file_name)
+        json_path = os.path.join(json_dir, file_name.replace(".parquet", ".json"))
+
+        if not os.path.exists(parquet_path):
+            download_file(link, parquet_path)
+
+        convert_to_json(parquet_path, json_path)
+        emit_translation_items(json_path, output_text_file, language_prefixes)
+
+
+
+def parse_language_prefixes(prefix_args: Iterable[Tuple[str, str]]) -> Sequence[Tuple[str, str]]:
+    """Validate and normalize CLI ``--prefix`` arguments."""
+    prefixes: list[Tuple[str, str]] = []
+    for language, prefix in prefix_args:
+        if not language:
+            raise ValueError("Language code for --prefix cannot be empty")
+        prefixes.append((language, prefix))
+    return prefixes
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description=(
+            "Download Europarl-style translation Parquet files and emit prefixed text."
+        )
+    )
+    parser.add_argument(
+        "--url",
+        required=True,
+        help="Dataset folder URL listing the Parquet shards (e.g. Hugging Face tree view).",
+    )
+    parser.add_argument(
+        "-o",
+        "--output",
+        default="input.txt",
+        help="Where to write the flattened text output.",
+    )
+    parser.add_argument(
+        "--prefix",
+        nargs=2,
+        action="append",
+        metavar=("LANG", "PREFIX"),
+        required=True,
+        help="Language/prefix pairs like --prefix bg 'BG: ' --prefix cs 'CS: '.",
+    )
+    parser.add_argument(
+        "--append",
+        action="store_true",
+        help="Append to the output file instead of overwriting it.",
+    )
+    args = parser.parse_args()
+
+    language_prefixes = parse_language_prefixes(args.prefix)
+    download_translation_dataset(
+        args.url,
+        args.output,
+        language_prefixes,
+        append=args.append,
+    )
+
+
+if __name__ == "__main__":
+    main()