| """ |
| csv_to_jsonl.py |
| |
| |
| Converts a CSV file with columns `prompt` and `response` into a JSONL file |
| where each line is a JSON object: {"input": "<prompt>", "output": "<response>"} |
| |
| |
| Run: |
| python csv_to_jsonl.py |
| |
| |
| This will create `dataset.jsonl` in the same folder. |
| """ |
|
|
|
|
| import csv |
| import json |
|
|
|
|
| INPUT_CSV = "dataset.csv" |
| OUTPUT_JSONL = "dataset.jsonl" |
|
|
|
|
| def csv_to_jsonl(in_csv: str = INPUT_CSV, out_jsonl: str = OUTPUT_JSONL): |
| with open(in_csv, "r", encoding="utf-8") as f_in, open(out_jsonl, "w", encoding="utf-8") as f_out: |
| reader = csv.DictReader(f_in) |
| |
| if "prompt" not in reader.fieldnames or "response" not in reader.fieldnames: |
| raise ValueError("CSV must contain 'prompt' and 'response' columns") |
| for row in reader: |
| obj = {"input": row["prompt"].strip(), "output": row["response"].strip()} |
| f_out.write(json.dumps(obj, ensure_ascii=False) + "\n") |
| print(f"Wrote {out_jsonl}") |
|
|
|
|
| if __name__ == "__main__": |
| csv_to_jsonl() |
