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simplification

mostafabehroozi /simplification0 likes2.8k downloads3d agoHugging FaceGEM /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 likes395 downloads4y agoHugging FaceCongi-libya /bayan-simplification-corpus Synthetic simplification data card — v1 Versions. main and the v1 tag hold v1 (Gemma 4 31B generator, Qwen3.8 27B judge). The previous DeepSeek release is kept at the v0 tag: load_dataset("Congi-libya/bayan-simplification-corpus", revision="v0"). A full v0 vs v1 comparison is in Cogni-Libya/Bayan#45. Paths under scripts/ and docs/ refer to the Bayan repository; paths under data/processed/ are the project's working files and are not part of this dataset. Version 1 of… See the full description on the dataset page: https://huggingface.co/datasets/Congi-libya/bayan-simplification-corpus.tabulartext-generation10K<n<100K3 likes238 downloads11d agoHugging Facecurie3170 /unsat_2024_batch3000_8gpu_no_simplification_lowest7_multiassign0 likes164 downloads1y agoHugging Facer1char9 /simplification-datasetДанный dataset был собран из корпуса "RuSimpleSentEval" (https://github.com/dialogue-evaluation/RuSimpleSentEval), а также "RuAdapt" (https://github.com/Digital-Pushkin-Lab/RuAdapt) для задачи упрощения текста (text simplification). from datasets import load_dataset data_files = {'train':"train.csv",'test':"test.csv"} dataset = load_dataset("r1char9/simplification", data_files=data_files) train_df = dataset['train'].to_pandas() test_df = dataset['test'].to_pandas() text1K<n<10K0 likes116 downloads1mo agoHugging Facehasankursun /age-specific-text-simplification Age-Specific Text Simplification Dataset Dataset Description This dataset contains complex texts simplified into age-appropriate versions for children aged 3, 4, and 5 years old. Each original text has been professionally adapted to match the cognitive development, vocabulary, and comprehension abilities of each specific age group. Dataset Summary Total Examples: 17,177 Training Split: 15,459 examples Validation Split: 1,718 examples Languages:… See the full description on the dataset page: https://huggingface.co/datasets/hasankursun/age-specific-text-simplification.tabulartext-generation10K<n<100K3 likes114 downloads1y agoHugging Face