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+ # Dataset Card for AbsenceBench
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+ AbsenceBench covers three distinct domains:
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+ - Poetry (realistic)
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+ - Numerical sequences (synthetic)
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+ - GitHub pull requests (realistic)
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+ There are 4302 instances in total, with an average context length of 5K tokens.
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+ ## Data Structure
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+ Each domain contains the following features:
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+ - `original_context`: `string`
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+ - `modified_context`: `string`
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+ - `omitted_context`: `List[string]`
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+ - `omitted_index`: `List[int]`
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+ - `metadata`: `Dict` Extra information regarding the dataset generation
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+ ### Data Split
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+ Currently we provide only the `validation` split. Since all instances of AbsenceBench natually come up with labeled answers according to the task setting, we will not be able to provide an unlabeled `test` split.
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+ ## Dataset Construction
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+ We provide the source data for generating the poetry domain, originally from the [Gutenberg Poetry Corpus](https://github.com/aparrish/gutenberg-poetry-corpus) in the `poetry_raw` subset.
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+ Please refer to this [repo](https://github.com/harvey-fin/absence-bench) for scripts and more information.
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+ ## Citation
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+ [More information Needed]
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