PUB / split_jsonl.py
flunardelli's picture
Add script for splitting JSONL files and update task datasets
5a57731
import json
import os
import shutil
import random
from pathlib import Path
def split_jsonl(task_folder):
# Path to the all.jsonl file
all_file = Path(task_folder) / "all.jsonl"
if not all_file.exists():
print(f"Skipping {task_folder}: No all.jsonl file found")
return
# Read all lines from all.jsonl
with open(all_file, 'r', encoding='utf-8') as f:
lines = f.readlines()
# Make sure we have at least 5 entries
if len(lines) < 5:
print(f"Warning: {task_folder} has fewer than 5 entries")
return
# Take first 5 entries for dev set
dev_lines = lines[:5]
# Get remaining lines for test set
test_lines = lines[5:]
# # Randomly select 5 entries for dev set
# dev_indices = random.sample(range(len(lines)), 5)
# dev_lines = [lines[i] for i in dev_indices]
# Write dev.jsonl
with open(all_file.parent / "dev.jsonl", 'w', encoding='utf-8') as f:
f.writelines(dev_lines)
# Write test.jsonl
with open(all_file.parent / "test.jsonl", 'w', encoding='utf-8') as f:
f.writelines(test_lines)
print(f"Processed {task_folder}:")
print(f" - Dev set: 5 entries")
print(f" - Test set: {len(test_lines)} entries")
def main():
# Get the base directory containing task folders
base_dir = Path("PUB")
# Process each task folder
for task_folder in base_dir.glob("task_*"):
if task_folder.is_dir():
split_jsonl(task_folder)
if __name__ == "__main__":
main()