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@@ -34,6 +34,23 @@ The labeled datasets are created by collecting manual annotations on top of Wiki
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  Additionally, to load the full set of collected annotations which were leveraged to make the labeled datasets for above tasks, use the command: ``load_dataset("kundank/usb","all_annotations")``
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  More details can be found in the paper: https://aclanthology.org/2023.findings-emnlp.592/
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  Additionally, to load the full set of collected annotations which were leveraged to make the labeled datasets for above tasks, use the command: ``load_dataset("kundank/usb","all_annotations")``
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+ ## Trained models
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+ We fine-tuned Flan-T5-XL models on the training set of each task in the benchmark. They are available and the links given below:
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+ |Task |Finetuned Flan-T5-XL model |
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+ |----------------|-----------------------------|
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+ | Extractive Summarization | [link](https://huggingface.co/kundank/usb-extractive_summarization-flant5xl) |
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+ | Abstractive Summarization | [link](https://huggingface.co/kundank/usb-abstractive_summarization-flant5xl) |
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+ | Topic-based Summarization | [link](https://huggingface.co/kundank/usb-topicbased_summarization-flant5xl) |
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+ | Multi-sentence Compression | [link](https://huggingface.co/kundank/usb-multisentence_compression-flant5xl) |
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+ | Evidence Extraction | [link](https://huggingface.co/kundank/usb-evidence_extraction-flant5xl) |
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+ | Factuality Classification | [link](https://huggingface.co/kundank/usb-factuality_classification-flant5xl) |
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+ | Unsupported Span Prediction | [link](https://huggingface.co/kundank/usb-unsupported_span_prediction-flant5xl) |
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+ | Fixing Factuality | [link](https://huggingface.co/kundank/usb-fixing_factuality-flant5xl) |
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  More details can be found in the paper: https://aclanthology.org/2023.findings-emnlp.592/
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