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"""
Convert alpaca dataset into sharegpt format.
Usage: python3 -m fastchat.data.convert_alpaca --in alpaca_data.json
"""
import argparse
import json
from transformers import AutoTokenizer, AutoModelForCausalLM
import numpy as np
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str)
parser.add_argument("--out-file", type=str)
args = parser.parse_args()
content = json.load(open(args.in_file, "r"))
new_content = []
for i, c in enumerate(content):
if len(c["input"].strip()) > 1:
q, a = c["instruction"] + "\nInput:\n" + c["input"], c["output"]
else:
q, a = c["instruction"], c["output"]
new_content.append(
{
"id": f"alpaca_{i}",
"conversations": [
{"from": "human", "value": q},
{"from": "gpt", "value": a},
],
}
)
print(f"#out: {len(new_content)}")
json.dump(new_content, open(args.out_file, "w"), indent=2, ensure_ascii=False)
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