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SEACrowd/
balita_nlp

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BalitaNLP is a dataset for image-conditional language generation and text-conditional image generation. It consists of 300k Filipino news articles and images gathered from Filipino news outlets. News articles are categorized into five possible classes: News, Sports, Entertainment, Crime, and Other. Some articles were removed from the SEACrowd imtext schema, as their corresponding image files do not exist:

train split (262480 total articles): from the original 281403 articles, 18923 (~6.72%) had missing images
test split (32821 total articles): from the original 35177 articles, 2356 (~6.70%) had missing images
validation split (32806 total articles): from the original 35175 articles, 2369 (~6.73%) had missing images

SEACrowd/balita_nlp

SEACrowd/
balita_nlp