I wrote a code that will fine-tine my QnA model using huggingface. The code will import questions and answers from a json file and then fine tune a HF Question-Answer model with the data from the json file. However, things went awry from then onwards, when I get this traceback:

Traceback (most recent call last):
  File "C:UsersPhilip ChenOneDriveDocumentsMLmachineLearning.py", line 45, in <module>
    trainer.train()
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestransformerstrainer.py", line 1859, in train
    return inner_training_loop(
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestransformerstrainer.py", line 2165, in _inner_training_loop
    for step, inputs in enumerate(epoch_iterator):
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagesacceleratedata_loader.py", line 454, in __iter__
    current_batch = next(dataloader_iter)
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestorchutilsdatadataloader.py", line 631, in __next__
    data = self._next_data()
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestorchutilsdatadataloader.py", line 675, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestorchutilsdata_utilsfetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagestorchutilsdata_utilsfetch.py", line 51, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:UsersPhilip ChenAppDataLocalProgramsPythonPython310libsite-packagesdatasetsdataset_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']"

from the offending line:

trainer.train()

And this is my entire code:

# 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()

This is the JSON file that contains the questions:

{"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!'"}

Any suggestions on how I can fix this thing?