The test data for the Large Text Compression Benchmark is the first 109 bytes of the English Wikipedia

SQuAD (Stanford Question Answering Dataset) is a dataset for reading comprehension. It consists of a list of questions by crowdworkers on a set of Wikipedia articles. The answers to each of the questions is a segment of text, or span, from the corresponding Wikipedia reading passage. Alternatively, the question may also be unanswerable.

This archive contains the LAMBADA dataset (LAnguage Modeling Broadened to Account for Discourse Aspects)

A Dataset for Diverse, Explainable Multi-hop Question Answering

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