Download src/preprocess/DREAM.py from OpenDFM/DialogZoo: direct link, hf CLI and curl.
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https://huggingface.co/datasets/OpenDFM/DialogZoo/resolve/main/src/preprocess/DREAM.py
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1.77 kB
| from utils import read_json_file, write_jsonl_file, parse, choices | |
| import os | |
| import copy | |
| def reformat(args, split): | |
| infile = os.path.join(args.input_dir, f"{split}.json") | |
| outfile = os.path.join(args.output_dir, f"{split}.jsonl") | |
| data = read_json_file(infile) | |
| processed_data = [] | |
| for example in data: | |
| knowledge_dial = [] | |
| for turn in example[0]: | |
| role = turn[0] | |
| role = "woman" if role == "W" else "man" | |
| text = turn[2:].strip() | |
| knowledge_dial.append({"roles": [role], "utterance": text}) | |
| _dial = { | |
| "turn": "single", | |
| "locale": "en", | |
| "dialog": [], | |
| "knowledge": {"type": "list", "value": {}}, | |
| } | |
| for turn in example[1]: | |
| dialogue = copy.deepcopy(_dial) | |
| dialogue["dialog"].append( | |
| {"roles": ["USER"], "utterance": turn["question"]} | |
| ) | |
| label = -1 | |
| for idx, choice in enumerate(turn["choice"]): | |
| # dialogue["dialog"].append( | |
| # {"roles": [f"{choices[idx]} choice"], "utterance": choice} | |
| # ) | |
| dialogue["knowledge"]["value"][chr(ord('A') + idx)] = choice | |
| if choice == turn["answer"]: | |
| label = idx | |
| assert label >= 0 | |
| dialogue["dialog"][-1]["roles_to_select"] = [chr(ord('A') + label)] | |
| dialogue["knowledge"]["value"]["dialogue"] = knowledge_dial | |
| processed_data.append(dialogue) | |
| write_jsonl_file(processed_data, outfile) | |
| def preprocess(args): | |
| reformat(args, "train") | |
| reformat(args, "dev") | |
| reformat(args, "test") | |
| if __name__ == "__main__": | |
| args = parse() | |
| preprocess(args) | |