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  This dataset is composed of Claude-labelled [fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb/) documents.
 
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  For each document, Claude is asked if it is 'forecastable' (i.e. would be a reasonable seed for a pastcasting question) and to estimate the date the document was published.
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- V1 splits were generated by having Claude label ~50K random fineweb documents and v2 splits were augmented with labels on ~30K additional documents that a DebertaV3 classifier finetuned on ratio10_v1 thought were forecastable.
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  Splits are of the form `ratio{negative_to_positive_ratio}_v{1 or 2}`. For example `ratio6_v2` is ~6 negative examples for each positive example. Splits do overlap.
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  This dataset is composed of Claude-labelled [fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb/) documents.
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  For each document, Claude is asked if it is 'forecastable' (i.e. would be a reasonable seed for a pastcasting question) and to estimate the date the document was published.
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+ V1 splits were generated by having Claude label ~50K random fineweb documents and v2 splits were augmented with labels on ~30K additional documents that a DebertaV3 classifier finetuned on ratio10_v1 thought were forecastable (Claude thought ~1/3 of these additional documents were forecastable).
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  Splits are of the form `ratio{negative_to_positive_ratio}_v{1 or 2}`. For example `ratio6_v2` is ~6 negative examples for each positive example. Splits do overlap.
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