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@@ -38,9 +38,6 @@ pretty_name: SPECTER
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  - **Repository:** [More Information Needed](https://github.com/allenai/specter/blob/master/README.md)
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  - **Paper:** [More Information Needed](https://arxiv.org/pdf/2004.07180.pdf)
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  - **Point of Contact:** [@armancohan](https://github.com/armancohan), [@sergeyf](https://github.com/sergeyf), [@haroldrubio](https://github.com/haroldrubio), [@jinamshah](https://github.com/jinamshah)
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- - **Size of downloaded dataset files:**
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- - **Size of the generated dataset:**
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- - **Total amount of disk used:** 38.3 MB
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  ### Dataset Summary
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@@ -50,6 +47,9 @@ pretraining a Transformer language model on a powerful signal of document-level
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  Unlike existing pretrained language models, SPECTER can be easily applied to
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  downstream applications without task-specific fine-tuning.
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  ### Supported Tasks and Leaderboards
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  [More Information Needed](https://github.com/allenai/specter)
 
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  - **Repository:** [More Information Needed](https://github.com/allenai/specter/blob/master/README.md)
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  - **Paper:** [More Information Needed](https://arxiv.org/pdf/2004.07180.pdf)
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  - **Point of Contact:** [@armancohan](https://github.com/armancohan), [@sergeyf](https://github.com/sergeyf), [@haroldrubio](https://github.com/haroldrubio), [@jinamshah](https://github.com/jinamshah)
 
 
 
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  ### Dataset Summary
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  Unlike existing pretrained language models, SPECTER can be easily applied to
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  downstream applications without task-specific fine-tuning.
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+ Disclaimer: The team releasing SPECTER did not upload the dataset to the Hub and did not write a dataset card.
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+ These steps were done by the Hugging Face team.
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+
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  ### Supported Tasks and Leaderboards
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  [More Information Needed](https://github.com/allenai/specter)