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import os
from utils import read_jsonl_file, write_jsonl_file, parse, choices
def preprocess(args, split):
infile = os.path.join(args.input_dir, f"{split}_rand_split.jsonl")
outfile = os.path.join(args.output_dir, f"{split}.jsonl")
data = read_jsonl_file(infile)
processed_data = []
for example in data:
dial = {
"turn": "single",
"locale": "en",
"dialog": [],
"knowledge": {
"type": "dict",
"value": {"question concept": example["question"]["question_concept"]},
},
}
dial["dialog"].append(
{"roles": ["USER"], "utterance": example["question"]["stem"], "roles_to_select": [example["answerKey"]]}
)
for choice in example["question"]["choices"]:
dial["knowledge"]["value"][choice["label"]] = choice["text"]
# answer = example["answerKey"]
# label = -1
# for idx, choice in enumerate(example["question"]["choices"]):
# dial["dialog"].append(
# {"roles": [f"{choices[idx]} choice"], "utterance": choice["text"]}
# )
# if choice["label"] == answer:
# assert label == -1
# label = idx
# assert label >= 0
# dial["dialog"][-1]["roles_to_select"] = [f"{choices[label]} choice"]
processed_data.append(dial)
write_jsonl_file(processed_data, outfile)
if __name__ == "__main__":
args = parse()
preprocess(args, "train")
preprocess(args, "dev")
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