mirror of https://github.com/hpcaitech/ColossalAI
65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
import argparse
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import json
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--data_source",
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type=str,
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required=True,
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default=None,
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help="The raw data file",
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)
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parser.add_argument(
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"--to_verify_file",
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type=str,
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required=True,
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default=None,
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help="The file that contains the data to be verified",
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)
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parser.add_argument(
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"--data_type",
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type=str,
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required=True,
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default=None,
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help="The data type",
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)
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args = parser.parse_args()
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# Read data
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data = []
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with open(args.data_source, "r", encoding="utf8") as f:
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for line in f.readlines():
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data.append(json.loads(line))
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to_verify_data = []
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with open(args.to_verify_file, "r", encoding="utf8") as f:
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for line in f.readlines():
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to_verify_data.append(json.loads(line))
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if args.data_type == "sft":
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target_lable = [msg["content"].strip() for msg in data[0]["messages"] if msg["from"] == "assistant"]
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target_negative_label = [msg["content"].strip() for msg in data[0]["messages"] if msg["from"] == "human"]
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# Read to verify file
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to_verify_lable = to_verify_data[0]["labels_decode"]
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for label in target_lable:
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assert any([label in s for s in to_verify_lable]), f"Label {label} not in target label {to_verify_lable}"
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for label in target_negative_label:
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assert all(
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[label not in s for s in to_verify_lable]
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), f"Negative label {label} in target label {to_verify_lable}"
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elif args.data_type == "dpo":
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chosen_lable = data[0]["chosen"][0]["content"].strip()
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rejected_lable = data[0]["rejected"][0]["content"].strip()
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# Read to verify file
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to_verify_lable_chosen = to_verify_data[0]["chosen_label_decode"]
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to_verify_lable_rejected = to_verify_data[0]["rejected_label_decode"]
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assert any(
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[chosen_lable in s for s in to_verify_lable_chosen]
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), f"Chosen label {chosen_lable} not in target chosen label {to_verify_lable_chosen}"
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assert any(
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[rejected_lable in s for s in to_verify_lable_rejected]
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), f"Rejected label {rejected_lable} not in target rejected label {to_verify_lable_chosen}"
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