Nlp on Aayush Bajaj's Augmenting Infrastructurehttps://abaj.ai/tags/nlp/Recent content in Nlp on Aayush Bajaj's Augmenting InfrastructureHugoen© 2026 Aayush BajajFri, 10 Jul 2026 08:15:50 +1000IMDB Reviewshttps://abaj.ai/tags/imdb-reviews/Fri, 10 Jul 2026 01:42:07 +1000https://abaj.ai/tags/imdb-reviews/<p>The <strong>Large Movie Review Dataset</strong> (aclImdb v1.0): 50,000 polar movie reviews from IMDB, split evenly for training and testing. For over a decade the default benchmark for binary sentiment classification — simple enough to load with one function call, large enough that word order and negation actually matter.</p> <h2 id="provenance">Provenance<a href="#provenance" class="post-heading__anchor" aria-hidden="true">#</a> </h2> <p>Collected at Stanford and released alongside Maas, Daly, Pham, Huang, Ng and Potts, <em>Learning Word Vectors for Sentiment Analysis</em>, ACL 2011. The dataset page (and download) lives at <a href="https://ai.stanford.edu/~amaas/data/sentiment/" class="link--external" target="_blank" rel="noreferrer" >ai.stanford.edu/~amaas/data/sentiment</a>. The original motivation was learning sentiment-aware word representations; the review corpus it shipped with promptly outlived the method.</p>