README.md

# Dataset for shorif/simple-chat-gpt2-small


This repository contains a simple prompt-response dataset in CSV format for fine-tuning a conversational model.


Files:
- `dataset.csv` — CSV file with two columns: `prompt` and `response`.
- `csv_to_jsonl.py` — Script that converts `dataset.csv` into `dataset.jsonl` (JSONL format used for fine-tuning).


Format:
- CSV header: `prompt,response`
- Each row: one prompt-response pair. Do not include sensitive or private data.


Usage:
- Place `dataset.csv` and `csv_to_jsonl.py` in the same folder.
- Run `python csv_to_jsonl.py` to create `dataset.jsonl`.


License: Use as you wish.

csv_to_jsonl.py

@@ -0,0 +1,38 @@
+"""
+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)
+# Ensure header contains prompt and response
+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()