Upload Hi-ToM.py

Hi-ToM.py

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+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.TEST,
+ 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.