TabuLa-8B
Collection
Training, eval suite, and model from the paper "Large Scale Transfer Learning for Tabular Data via Language Modeling" https://arxiv.org/abs/2406.12031
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4 items
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Updated
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11
Datasets:
name
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age | null | false | [] | null | null | null | int |
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priors_count | null | false | [] | null | null | null | int |
age_cat_25-45 | null | false | [] | null | null | null | int |
age_cat_Greaterthan45 | null | false | [] | null | null | null | int |
age_cat_Lessthan25 | null | false | [] | null | null | null | int |
race_African-American | null | false | [] | null | null | null | int |
race_Caucasian | null | false | [] | null | null | null | int |
c_charge_degree_F | null | false | [] | null | null | null | int |
c_charge_degree_M | null | false | [] | null | null | null | int |
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Horizontal_Distance_To_Roadways | null | false | [] | null | null | null | float |
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Hillshade_Noon | null | false | [] | null | null | null | int |
Hillshade_3pm | null | false | [] | null | null | null | int |
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class | null | true | [] | null | null | null | int |
x1 | null | false | [] | null | null | null | float |
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Evaluation suite used in our paper "Large Scale Transfer Learning for Tabular Data via Language Modeling."
This suite includes our preprocessed versions of benchmark datasets except the AutoML Multimodal Benchmark, which can be accessed by following the installation instructions in their repo here.
We recommend using rtfm when evaluating models with these datasets.
See the rtfm repo for more information on using this data for evaluation.
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