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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10
Datasets:
name
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classes | na_values
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sex | null | false | [] | null | null | null | int |
age | null | false | [] | null | null | null | int |
juv_misd_count | null | false | [] | null | null | null | int |
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 |
twoyearrecid | null | true | [] | null | null | null | int |
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Horizontal_Distance_To_Hydrology | null | false | [] | null | null | null | float |
Vertical_Distance_To_Hydrology | null | false | [] | null | null | null | float |
Horizontal_Distance_To_Roadways | null | false | [] | null | null | null | float |
Hillshade_9am | null | false | [] | null | null | null | int |
Hillshade_Noon | null | false | [] | null | null | null | int |
Hillshade_3pm | null | false | [] | null | null | null | int |
Horizontal_Distance_To_Fire_Points | null | false | [] | null | null | null | float |
Wilderness_Area1 | null | false | [] | null | null | null | int |
Wilderness_Area2 | null | false | [] | null | null | null | int |
Wilderness_Area3 | null | false | [] | null | null | null | int |
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Soil_Type13 | null | false | [] | null | null | null | int |
Soil_Type14 | null | false | [] | null | null | null | int |
Soil_Type15 | null | false | [] | null | null | null | int |
Soil_Type16 | null | false | [] | null | null | null | int |
Soil_Type17 | null | false | [] | null | null | null | int |
Soil_Type18 | null | false | [] | null | null | null | int |
Soil_Type19 | null | false | [] | null | null | null | int |
Soil_Type20 | null | false | [] | null | null | null | int |
Soil_Type21 | null | false | [] | null | null | null | int |
Soil_Type22 | null | false | [] | null | null | null | int |
Soil_Type23 | null | false | [] | null | null | null | int |
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Soil_Type25 | null | false | [] | null | null | null | int |
Soil_Type26 | null | false | [] | null | null | null | int |
Soil_Type27 | null | false | [] | null | null | null | int |
Soil_Type28 | null | false | [] | null | null | null | int |
Soil_Type29 | null | false | [] | null | null | null | int |
Soil_Type30 | null | false | [] | null | null | null | int |
Soil_Type31 | null | false | [] | null | null | null | int |
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Soil_Type34 | null | false | [] | null | null | null | int |
Soil_Type35 | null | false | [] | null | null | null | int |
Soil_Type36 | null | false | [] | null | null | null | int |
Soil_Type37 | null | false | [] | null | null | null | int |
Soil_Type38 | null | false | [] | null | null | null | int |
Soil_Type39 | 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."
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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Size of downloaded dataset files:
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Number of rows:
19,734