CoolFace
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karpathy

karpathy /climbmix-400b-shuffle71 likes40k downloads7mo agoHugging Facekarpathy /fineweb-edu-100b-shuffletext10M<n<100M171 likes11k downloads1y agoHugging Facekarpathy /llmc-starter-packStarter pack of a bunch of .bin files for llm.c. You could generate these files yourself by following the README instructions, but this then requires you to download and use Python and PyTorch etc and re-build the Universe, so here we just cache the .bin files, so they can be easily downloaded for use in llm.c. No pythons will be harmed. 5 likes6.4k downloads2y agoHugging Faceyerevann /coco-karpathy Dataset Card for "yerevann/coco-karpathy" The Karpathy split of COCO for image captioning. imageimage-to-text100K<n<1M22 likes5.2k downloads4y agoHugging Facekarpathy /fineweb-edu-100B-gpt2-token-shardsFineWeb Edu 100B dataset tokenized with GPT-2 tokenizer using the code in llm.c repo. 8 likes5.1k downloads2y agoHugging Facekarpathy /tiny_shakespeare40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/. To use for e.g. character modelling: ``` d = datasets.load_dataset(name='tiny_shakespeare')['train'] d = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8')) # train split includes vocabulary for other splits vocabulary = sorted(set(next(iter(d)).numpy())) d = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]}) d = d.unbatch() seq_len = 100 batch_size = 2 d = d.batch(seq_len) d = d.batch(batch_size) ```93 likes3.8k downloads3y agoHugging Face