Как исправить эту ошибку KeyError во время обучения моей модели?

Я написал код, который будет уточнять мою модель QnA с помощью HuggingFace. Код будет импортировать вопросы и ответы из файла json, а затем точно настраивать модель вопросов и ответов HF с данными из файла json. Однако с тех пор все пошло наперекосяк, когда я получил эту обратную связь:

Traceback (most recent call last):
  File "C:\Users\Philip Chen\OneDrive\Documents\ML\machineLearning.py", line 45, in <module>
    trainer.train()
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\trainer.py", line 1859, in train
    return inner_training_loop(
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\trainer.py", line 2165, in _inner_training_loop
    for step, inputs in enumerate(epoch_iterator):
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\data_loader.py", line 454, in __iter__
    current_batch = next(dataloader_iter)
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\dataloader.py", line 631, in __next__
    data = self._next_data()
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\dataloader.py", line 675, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\datasets\dataset_dict.py", line 81, in __getitem__
    raise KeyError(
KeyError: "Invalid key: 0. Please first select a split. For example: `my_dataset_dictionary['train'][0]`. Available splits: ['train']"

из оскорбительной строки:

trainer.train()

И это весь мой код:

# https://www.mlexpert.io/blog/alpaca-fine-tuning
# https://wellsr.com/python/fine-tuning-huggingface-models-in-tensorflow-keras/
# https://learnopencv.com/fine-tuning-bert/
# https://medium.com/@karary/nlp-fine-tune-question-answering-model-%E5%AF%A6%E4%BD%9C-3-model-training-%E5%84%B2%E5%AD%98%E8%88%87-inference-13d2a5bf5c32
import transformers as tf
import datasets as ds
import pandas as pd
import numpy as np
import torch
import json
 
############## Check if CUDA is enabled. ################
hasCUDA=torch.cuda.is_available()
print(f"CUDA Enabled? {hasCUDA}")
device = "cuda" if hasCUDA else "cpu"      
 
############## Loading file and populating data ################
fileName = "qna.json"
trainDS=ds.load_dataset("json", data_files=fileName)
evalDS=ds.load_dataset("json", data_files=fileName)
# rawDS=ds.load_dataset('squad')
############## Model ##########################################
modelName = "./distilbert-base-cased"     #or replace the model name with whatever you feel like.
config=tf.AutoConfig.from_pretrained(modelName+"/config.json")
model=tf.AutoModelForQuestionAnswering.from_pretrained(modelName,config=config)
tokenizer=tf.AutoTokenizer.from_pretrained(modelName)
############## Training #######################################
trnArgs=tf.TrainingArguments(
    output_dir = "./",
    evaluation_strategy = "epoch",
    save_strategy = "epoch",
    learning_rate=2e-5,
    num_train_epochs=3,
    remove_unused_columns=False,
    fp16=True
)
 
trainer=tf.Trainer(
    model=model,
    args=trnArgs,
    train_dataset=trainDS,
    eval_dataset=evalDS,
    tokenizer=tokenizer
)
trainer.train()

Это файл JSON, содержащий вопросы:

{"text": "Who wrote Charlie and the Chocolate Factory?", "label": "Roald Dahl"}
{"text": "Name a few ways to treat constipation naturally.", "label": "Exercise regularly, eat more fibers, and drink more water."}
{"text": "Where is the longest roller coaster located?", "label": "Nagashima, Japan. The name of the coaster is Steel Dragon 2000."}
{"text": "What are the 11 herbs and spices that Colonel Sanders used in KFC?", "label": "Nobody knows, as it's a secret."}
{"text": "Who wrote Les Miserables?", "label": "Victor Hugo"}
{"text": "What is the Watergate Scandal?", "label": "The Watergate scandal was a significant political controversy in the United States during the presidency of Richard Nixon from 1972 to 1974, ultimately resulting in Nixon's resignation. It originated from attempts by the Nixon administration to conceal its involvement in the June 17, 1972, break-in at the Democratic National Committee headquarters located in the Watergate Office Building in Washington, D.C."}
{"text": "What is Obama's most famous quote?", "label": "'Yes we can!'"}

Есть какие-нибудь предложения о том, как я могу это исправить?