Delete Hi-ToM.py

Hi-ToM.py

@@ -1,59 +0,0 @@
-import json
-from datasets import DatasetBuilder, DatasetInfo, SplitGenerators, DownloadManager
-from datasets.features import Features, Value
-import datasets
-
-class MyCustomDataset(DatasetBuilder):
- VERSION = datasets.Version("1.0.0")
-
- def _info(self):
- # Ensure CITATION is a string containing the bibliographic citation for your dataset
-
- return DatasetInfo(
- description="My custom dataset for tracking objects.",
- features=Features({
- "prompting_type": Value("string"),
- "deception": Value("bool"),
- "story_length": Value("int32"),
- "question_order": Value("int32"),
- "sample_id": Value("int32"),
- "story": Value("string"),
- "question": Value("string"),
- "choices": Value("string"),
- "answer": Value("string"),
- }),
- supervised_keys=None,
- homepage="https://github.com/ying-hui-he/Hi-ToM_dataset",
- )
-
- def _split_generators(self, dl_manager: DownloadManager):
- # Using the raw content URL for GitHub
- downloaded_files = dl_manager.download_and_extract({
- "data_file": "https://raw.githubusercontent.com/ying-hui-he/Hi-ToM_dataset/main/Hi-ToM_data.json"
- })
-
- return [
- datasets.SplitGenerator(
- name=datasets.Split.TRAIN,
- gen_kwargs={
- "filepath": downloaded_files["data_file"],
- },
- ),
- ]
-
- def _generate_examples(self, filepath):
- with open(filepath, encoding="utf-8") as f:
- data = json.load(f)["data"] # Accessing the 'data' field directly
- for id, item in enumerate(data):
- yield id, {
- "prompting_type": item["prompting_type"],
- "deception": item["deception"],
- "story_length": item["story_length"],
- "question_order": item["question_order"],
- "sample_id": item["sample_id"],
- "story": item["story"],
- "question": item["question"],
- "choices": item["choices"],
- "answer": item["answer"],
- }
-# Replace 'MyCustomDataset' with a suitable name that follows Python class naming conventions.