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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** https://github.com/clarana/ez-data-ablations
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- - **Paper [optional]:** [More Information Needed]
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  ### Source Data
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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- This dataset is a re-partitioned Scientific documents available on SemanticScholar.
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  #### Data Collection and Processing
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  ## Citation [optional]
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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-
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  **BibTeX:**
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  ```
 
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** https://github.com/clarana/ez-data-ablations
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+ - **Paper:** [Scalable Data Ablation Approximations for Language Models through Modular Training and Merging](https://arxiv.org/abs/2410.15661)
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
 
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  ### Source Data
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+ This dataset is a re-partitioned version of S2ORC, a corpus of scientific documents available through SemanticScholar.
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  #### Data Collection and Processing
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  ## Citation [optional]
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+ **[[ArXiv]]**(https://arxiv.org/abs/2410.15661): Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
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  **BibTeX:**
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  ```