Delete longbench_pro.py with huggingface_hub

longbench_pro.py

@@ -1,40 +0,0 @@
-from datasets import Dataset, DatasetDict, GeneratorBasedBuilder, Split, SplitGenerator, Value, Features, load_dataset
-
-class LongBenchPro(GeneratorBasedBuilder):
-    VERSION = "1.0.0"
-
-    def _info(self):
-        return DatasetInfo(
-            description="LongBench Pro dataset",
-            features=Features({
-                "id": Value("string"),
-                "context": Value("string"),
-                "language": Value("string", choices=["English", "Chinese"]),
-                "token_length": Value("string", choices=["8k", "16k", "32k", "64k", "128k", "256k"]),
-                "primary_task": Value("string"),
-                "secondary_task": Value("string"),
-                "contextual_requirement": Value("string", choices=["Full", "Partial"]),
-                "question_nonthinking": Value("string"),
-                "question_thinking": Value("string"),
-                "answer": Value("list"),
-                "difficulty": Value("string", choices=["Easy", "Moderate", "Hard", "Extreme"]),
-            }),
-            supervised_keys=None,
-            homepage="https://huggingface.co/datasets/caskcsg/LongBench_Pro",
-        )
-
-    def _split_generators(self, dl_manager):
-        data_path = dl_manager.download_and_extract("longbench_pro.json")
-        return [
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={"filepath": data_path}
-            )
-        ]
-
-    def _generate_examples(self, filepath):
-        import json
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-            for i, item in enumerate(data):
-                yield i, item