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README.md
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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
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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
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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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**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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```
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