| from datasets import load_dataset | |
| # Load dataset from Hugging Face | |
| dataset = load_dataset("HARSHIIIII/AI-TASK") # Replace with your dataset's name | |
| # Merge multiple columns into one | |
| def format_example(example): | |
| example["combined_text"] = ( | |
| f"Task: {example['TaskDescription']} " | |
| f"Required Skills: {example['TaskSkills']} " | |
| f"Assigned User Skills: {example['AssignedUserSkills']}" | |
| ) | |
| return example | |
| dataset = dataset.map(format_example) # Apply transformation | |
| print(dataset["train"][0]) # Verify output | |
| # Save processed dataset (Optional, if you want to push it back) | |
| dataset.push_to_hub("HARSHIIIII/AI-TASK") | |