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README.md
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@@ -32,6 +32,8 @@ Splits are of the form `ratio{negative_to_positive_ratio}_v{1 or 2}`. For exampl
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`ratio6_v2` was used to train https://huggingface.co/noanabeshima/forecastability-classifier-v1.
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Prompt can be found in `prompt.txt`. It was iterated on slightly using a small set of human labels. Claude
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Made with the help of Collin Gray.
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`ratio6_v2` was used to train https://huggingface.co/noanabeshima/forecastability-classifier-v1.
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Prompt can be found in `prompt.txt`. It was iterated on slightly using a small set of human labels. GPT-4.1 performed slightly better, but Claude had a more favorable TOS for open-sourcing data/models.
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Claude considers ~2% of fineweb documents to be forecastable.
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Made with the help of Collin Gray.
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