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Dataset · Hugging Face

xinrongzhang2022/InfiniteBench

Usage load with datasets from datasets import load_dataset, Features, Value, Sequence # Define the features schema ft = Features({ "id": Value("int64"), "context": Value("string"), "input": Value("string"), "answer": Sequence(Value("string")), "options": Sequence(Value("string")) }) # Load the dataset with the specified features dataset = load_dataset("xinrongzhang2022/InfiniteBench", features=ft) Citation Please cite us if you use… See the full description on the dataset page: https://huggingface.co/datasets/xinrongzhang2022/InfiniteBench.

Author / organizationxinrongzhang2022
Downloads8.5K (as reported by Hugging Face)
Likes38
Created16 November 2023
Last updated at source8 October 2024
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  • 17 Oct 2026 Description: Usage load with datasets from datasets import load_dataset, Features, Value, Sequence # Define the features schema ft = Features({ "id": Value("int64"), "context": Value("string"), "input": Value("string"), "answer": Sequence(Value("string" → Usage load with datasets from datasets import load_dataset, Features, Value, Sequence # Define the features schema ft = Features({ "id": Value("int64"), "context": Value("string"), "input": Value("string"), "answer": Sequence(Value("string"

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.