class_docstr: Dataset class for CValues dataset.
  Data source: https://github.com/X-PLUG/CValues/tree/main
  This dataset class will convert the original dataset into the inference dataset.
code: def load(
      path: str, logger: DistributedLogger, few_shot: bool
  ) -> List[Dict]:
      dataset = {"test": {}}
      file_path = os.path.join(path, "cvalues_responsibility_mc.jsonl")
      data_list = []
      with open(file_path, "r") as file:
          for line in file:
              json_obj = json.loads(line)
              data_list.append(json_obj["meta_info"])
  
      tuple_set = {tuple(sorted(d.items())) for d in data_list}
      unique_list = [dict(t) for t in tuple_set]
      test_dict = {}
      for idx, example in enumerate(unique_list):
          question = example["question"]
          category = example["domain_zh"]
          if category not in test_dict:
              test_dict[category] = {
                  "data": [],
                  "inference_kwargs": default_inference_kwargs,
              }
          # Randomly put positive response to choice A or B
          responses = ["pos_resp", "neg_resp"]
          random.shuffle(responses)
          correct_answ = "A" if responses[0] == "pos_resp" else "B"
          resp_a, resp_b = example[responses[0]], example[responses[1]]
          query_str = INPUT_FORMAT.format(question, resp_a, resp_b)
          data_sample = {
              "dataset": EVAL_NAME,
              "split": "test",
              "category": category,
              "instruction": INST,
              "input": query_str,
              "output": "",
              "target": correct_answ,
              "id": idx,
          }
          test_dict[category]["data"].append(data_sample)
      dataset["test"] = test_dict
      return dataset
  
file_path: colossalai/applications/ColossalEval/colossal_eval/dataset/cvalues.py
imports: import json
  import os
  import random
  from typing import Dict, List
  from colossalai.logging import DistributedLogger
  from .base import BaseDataset
label_desc: Use image node_id 1 for calling the CValuesDataset obj's underlying member method code with example usage: obj.load(path, logger, few_shot) and returns: dataset