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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8
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 |
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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 |
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Wilderness_Area1 | null | false | [] | null | null | null | int |
Wilderness_Area2 | 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 |
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Soil_Type27 | null | false | [] | null | null | null | int |
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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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Size of the auto-converted Parquet files:
644 kB
Number of rows:
19,734