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import re |
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from utils import read_json_file, read_jsonl_file, write_json_file, write_jsonl_file, read_txt_file, read_csv_file, parse |
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def reformat(args, file): |
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path = args.input_dir + "/" + file + ".csv" |
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data = read_csv_file(path) |
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turns = [] |
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for i in range(1, len(data)): |
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ds = data[i] |
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t = { |
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"turn": "single", |
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"locale": "en", |
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"dialog": [] |
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} |
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d = {"role": ds[1].strip("\[\]\'"), |
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"utterance": ds[0], |
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"belief_state": [{"domain": None, |
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"goal": [{"intent": None, |
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"slot_value_table": [{"slot": 'Emotion', "value": ds[2]}, |
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{"slot": 'Sentiment', "value": ds[4]} |
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]} |
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]} |
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], |
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"querying_result": [], |
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"summary": None, |
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"locale": None, |
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"topic" : None, |
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"opinions": None, |
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"answer": None} |
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t["dialog"].append(d) |
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t["knowledge"] = None |
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turns.append(t) |
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write_jsonl_file(turns, args.output_dir + "/" + file + ".jsonl") |
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def preprocess(args): |
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reformat(args, "emorynlp_train_final") |
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reformat(args, "emorynlp_dev_final") |
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reformat(args, "emorynlp_test_final") |
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if __name__ == "__main__": |
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args = parse() |
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preprocess(args) |
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