Team Ai
21 results

ML

mlfoundations /MINT-1T-HTML 🍃 MINT-1T:Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens 🍃 MINT-1T is an open-source Multimodal INTerleaved dataset with 1 trillion text tokens and 3.4 billion images, a 10x scale-up from existing open-source datasets. Additionally, we include previously untapped sources such as PDFs and ArXiv papers. 🍃 MINT-1T is designed to facilitate research in multimodal pretraining. 🍃 MINT-1T is created by a team from the University of Washington in… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/MINT-1T-HTML.textimage-to-text100M<n<1B123 likes637k downloads2y agoHugging Facenyu-mll /glue Dataset Card for GLUE Dataset Summary GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems. Supported Tasks and Leaderboards The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks: ax A manually-curated evaluation dataset for fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/nyu-mll/glue.tabulartext-classification1M<n<10M1.1k likes519k downloads3y agoHugging Facemlfoundations /dclm-baseline-1.0 DCLM-baseline DCLM-baseline is a 4T token / 3B document pretraining dataset that achieves strong performance on language model benchmarks. Below are comparisions of model trained on DCLM-baseline with other models in the 7B regime. Model Params Tokens Open dataset? CORE MMLU EXTENDED Open weights, closed datasets Llama2 7B 2T ✗ 49.2 45.8 34.1 DeepSeek 7B 2T ✗ 50.7 48.5 35.3 Mistral-0.3 7B ? ✗ 57.0 62.7 45.1 QWEN-2 7B ? ✗ 57.5 71.9 50.5 Llama3 8B 15T ✗… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0.tabular1B<n<10B320 likes482k downloads2y agoHugging Facemlfoundations /dclm-pool-7b-2x3 likes231k downloads2y agoHugging Facemlfoundations /datacomp_pools DataComp Pools This repository contains metadata files for DataComp. For details on how to use the metadata, please visit our website and our github repository. We distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights. Terms and Conditions We have terms of service that are similar to those adopted by HuggingFace (https://huggingface.co/terms-of-service), which covers… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/datacomp_pools.image19 likes97k downloads3y agoHugging Facenyu-mll /blimp Dataset Card for "blimp" Dataset Summary BLiMP is a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each containing 1000 minimal pairs isolating specific contrasts in syntax, morphology, or semantics. The data is automatically generated according to expert-crafted grammars. Supported Tasks and Leaderboards More Information Needed Languages More Information… See the full description on the dataset page: https://huggingface.co/datasets/nyu-mll/blimp.texttext-classification10K<n<100K40 likes62k downloads3y agoHugging Face