CoolFace
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cochrane

GEM /cochrane-simplificationThis dataset measures the ability for a model to simplify paragraphs of medical text through the omission non-salient information and simplification of medical jargon.7 likes470 downloads4y agoHugging Facedeepcoder2024 /cochrane-screening-sft Cochrane Screening SFT Supervised fine-tuning (SFT) chat dataset for Cochrane-style title and abstract screening. Each example is a chat conversation that asks a model to predict a screening decision (include / exclude / uncertain) and a short justification (reason). Code: ljwa2323/cochrane-screening-slm Dataset summary Split / config Records Role train 416,799 LoRA SFT training validation 46,311 Training-time validation (10% stratified holdout from… See the full description on the dataset page: https://huggingface.co/datasets/deepcoder2024/cochrane-screening-sft.texttext-classification100K<n<1M0 likes193 downloads1mo agoHugging Faceallenai /cochrane_sparse_maxThis is a copy of the Cochrane dataset, except the input source documents of its validation split have been replaced by a sparse retriever. The retrieval pipeline used: query: The target field of each example corpus: The union of all documents in the train, validation and test splits. A document is the concatenation of the title and abstract. retriever: BM25 via PyTerrier with default settings top-k strategy: "max", i.e. the number of documents retrieved, k, is set as the maximum number of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/cochrane_sparse_max.textsummarization1K<n<10K0 likes58 downloads4y agoHugging Faceallenai /cochrane_dense_meanThis is a copy of the Cochrane dataset, except the input source documents of its train, validation and test splits have been replaced by a dense retriever. The retrieval pipeline used: query: The target field of each example corpus: The union of all documents in the train, validation and test splits. A document is the concatenation of the title and abstract. retriever: facebook/contriever-msmarco via PyTerrier with default settings top-k strategy: "max", i.e. the number of documents retrieved… See the full description on the dataset page: https://huggingface.co/datasets/allenai/cochrane_dense_mean.textsummarization1K<n<10K0 likes54 downloads4y agoHugging Faceben-yu /cochrane_combinedtabular1K<n<10K0 likes50 downloads4y agoHugging Faceclinicalnlplab /CochranePLS_testtext1K<n<10K0 likes39 downloads3y agoHugging Face