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:
Dataset Viewer
name
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V52
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V59
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V63
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V72
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V75
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class
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sex
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age
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juv_misd_count
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priors_count
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age_cat_25-45
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age_cat_Greaterthan45
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age_cat_Lessthan25
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race_African-American
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race_Caucasian
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c_charge_degree_F
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c_charge_degree_M
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twoyearrecid
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Elevation
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Aspect
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Slope
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Horizontal_Distance_To_Hydrology
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Vertical_Distance_To_Hydrology
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Horizontal_Distance_To_Roadways
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Hillshade_9am
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Hillshade_Noon
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Hillshade_3pm
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Horizontal_Distance_To_Fire_Points
| null | false |
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float
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Wilderness_Area1
| null | false |
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int
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Wilderness_Area2
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int
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Wilderness_Area3
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int
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Wilderness_Area4
| null | false |
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int
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Soil_Type1
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Soil_Type2
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Soil_Type10
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Soil_Type20
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Soil_Type22
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Soil_Type23
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Soil_Type24
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Soil_Type25
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Soil_Type26
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Soil_Type27
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Soil_Type28
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Soil_Type29
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Soil_Type30
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Soil_Type31
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Soil_Type32
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Soil_Type33
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Soil_Type34
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Soil_Type35
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Soil_Type36
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Soil_Type37
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Soil_Type38
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Soil_Type39
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Soil_Type40
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class
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x1
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float
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End of preview. Expand
in Data Studio
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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Size of downloaded dataset files:
3.04 MB
Size of the auto-converted Parquet files:
644 kB
Number of rows:
19,734