Logical error in train.py

[monisha08041998]

Hi Iam facing error for dataset_name, dataset in personachat.items(): #num_candidates = len(dataset[0]["utterances"][0]["candidates"]) num_candidates=2 if args.num_candidates > 0 and dataset_name == 'train': num_candidates = min(args.num_candidates, num_candidates) for dialog in dataset: persona = dialog["personality"].copy()​ for _ in range(args.personality_permutations): for utterance in dialog["utterances"]: history = utterance["history"][-(2*args.max_history+1):] for j, candidate in enumerate(utterance["candidates"][-num_candidates:]): lm_labels = bool(j == num_candidates-1) instance = build_input_from_segments(persona, history, candidate, tokenizer, lm_labels) for input_name, input_array in instance.items(): datasets[dataset_name][input_name].append(input_array) datasets[dataset_name]["mc_labels"].append(num_candidates - 1) datasets[dataset_name]["n_candidates"] = num_candidates persona = [persona[-1]] + persona[:-1] # permuted personalities in this part of the train.py and also have anyone tried to train it with your own data.Please guide the steps

[steveluo01]

for utterance in dialog["utterances"]: history = utterance["history"][-(2*args.max_history+1):] for j, candidate in enumerate(utterance["candidates"][-num_candidates:]): lm_labels = bool(j == num_candidates-1) instance = build_input_from_segments(persona, history, candidate, tokenizer, lm_labels)

Hello, can you teach me how to understand these sentences?