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  # AI2 SciTLDR
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  Fairseq checkpoints from CATTS XSUM to Transformers BART (Abtract Only)
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+ ---
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+ language:
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+ - en
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+ datasets:
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+ - xsum
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+ - scitldr
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+ widget:
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+ - text: "We introduce TLDR generation, a new form of extreme summarization, for scientific papers. TLDR generation involves high source compression and requires expert background knowledge and understanding of complex domain-specific language. To facilitate study on this task, we introduce SciTLDR, a new multi-target dataset of 5.4K TLDRs over 3.2K papers. SciTLDR contains both author-written and expert-derived TLDRs, where the latter are collected using a novel annotation protocol that produces high-quality summaries while minimizing annotation burden. We propose CATTS, a simple yet effective learning strategy for generating TLDRs that exploits titles as an auxiliary training signal. CATTS improves upon strong baselines under both automated metrics and human evaluations."
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+ license: "apache-2.0"
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+
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+ ---
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+
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  # AI2 SciTLDR
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  Fairseq checkpoints from CATTS XSUM to Transformers BART (Abtract Only)
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