Natural Language Processing
Reading Comprehension
Understanding and answering questions about passages.
0 datasets0 results
Reading Comprehension is a key task in natural language processing. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.
Benchmarks & SOTA
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Contribute on GitHubRelated Tasks
Language Modeling
Predicting the next word or token in a sequence. Core task for GPT-style models.
Machine Translation
Translating text from one language to another (WMT benchmarks).
Question Answering
Answering questions based on context (SQuAD, Natural Questions).
Text Classification
Categorizing text into predefined classes (sentiment, topic).