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Update card after batch datagen_104

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  1. README.md +13 -254
README.md CHANGED
@@ -1,259 +1,17 @@
1
  ---
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  license: other
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  task_categories:
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- - tabular-classification
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- - tabular-regression
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  language:
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- - en
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  tags:
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- - tabular
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- - synthetic
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- - real-data
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- - pretraining
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- - tabpfn
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- pretty_name: Tabula Pretraining Corpus
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- dataset_info:
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- config_name: datagen_104
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- features:
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- - name: peer_rating
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- dtype: float64
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- - name: tenure_years
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- dtype: float64
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- - name: role_level
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- dtype: float64
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- - name: remote_days
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- dtype: float64
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- - name: team_size
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- dtype: float64
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- - name: absences
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- dtype: float64
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- - name: performance_score
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- dtype: float64
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- - name: promotions
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- dtype: float64
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- - name: overtime_hours
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- dtype: float64
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- - name: satisfaction
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- dtype: float64
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- - name: department_id
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- dtype: float64
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- - name: bonus_pct
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- dtype: float64
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- - name: salary
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- dtype: float64
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- - name: training_hours
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- dtype: float64
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- - name: attrition
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- dtype: float64
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- - name: hr_15
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- dtype: float64
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- - name: hr_16
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- dtype: float64
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- - name: hr_17
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- dtype: float64
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- - name: hr_18
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- dtype: float64
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- - name: target
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- dtype: float64
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- - name: _source_meta
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- dtype: large_string
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- - name: science_17
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- dtype: float64
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- - name: clicks
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- dtype: float64
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- - name: health_18
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- dtype: float64
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- - name: family_history
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- dtype: float64
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- - name: health_17
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- dtype: float64
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- - name: science_15
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- dtype: float64
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- - name: margin
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- dtype: float64
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- - name: fragile
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- dtype: float64
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- - name: finance_15
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- dtype: float64
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- - name: expenses
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- dtype: float64
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- - name: cost_usd
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- dtype: float64
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- - name: health_15
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- dtype: float64
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- - name: default
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- dtype: float64
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- - name: fever
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- dtype: float64
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- - name: volume
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- dtype: float64
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- - name: exercise_days
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- dtype: float64
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- - name: interest_rate
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- dtype: float64
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- - name: ecommerce_17
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- dtype: float64
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- - name: heart_rate
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- dtype: float64
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- - name: category
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- dtype: float64
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- - name: quantity
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- dtype: float64
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- - name: velocity
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- dtype: float64
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- - name: blood_pressure
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- dtype: float64
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- - name: damage_rate
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- dtype: float64
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- - name: temperature_k
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- dtype: float64
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- - name: employment_years
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- dtype: float64
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- - name: conversion
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- dtype: float64
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- - name: purity
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- dtype: float64
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- - name: price
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- dtype: float64
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- - name: reaction_time
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- dtype: float64
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- - name: credit_score
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- dtype: float64
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- - name: warehouse_id
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- dtype: float64
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- - name: route_id
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- dtype: float64
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- - name: reviews
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- dtype: float64
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- - name: smoking
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- dtype: float64
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- - name: load_factor
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- dtype: float64
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- - name: mass
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- dtype: float64
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- - name: weight_kg
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- dtype: float64
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- - name: pressure_pa
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- dtype: float64
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- - name: glucose
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- dtype: float64
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- - name: refund
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- dtype: float64
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- - name: carrier_id
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- dtype: float64
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- - name: science_16
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- dtype: float64
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- - name: cholesterol
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- dtype: float64
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- - name: priority
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- dtype: float64
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- - name: entropy
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- dtype: float64
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- - name: wavelength
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- dtype: float64
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- - name: ph
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- dtype: float64
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- - name: finance_17
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- dtype: float64
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- - name: fuel_consumption
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- dtype: float64
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- - name: liabilities
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- dtype: float64
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- - name: income
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- dtype: float64
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- - name: logistics_17
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- dtype: float64
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- - name: ecommerce_18
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- dtype: float64
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- - name: customs_flag
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- dtype: float64
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- - name: shipping_days
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- dtype: float64
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- - name: diagnosis
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- dtype: float64
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- - name: session_minutes
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- dtype: float64
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- - name: intensity
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- dtype: float64
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- - name: churn
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- dtype: float64
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- - name: finance_16
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- dtype: float64
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- - name: finance_18
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- dtype: float64
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- - name: hemoglobin
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- dtype: float64
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- - name: logistics_18
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- dtype: float64
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- - name: white_cell_count
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- dtype: float64
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- - name: assets
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- dtype: float64
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- - name: logistics_16
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- dtype: float64
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- - name: tax_rate
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- dtype: float64
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- - name: ecommerce_16
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- dtype: float64
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- - name: discount
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- dtype: float64
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- - name: health_16
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- dtype: float64
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- - name: age
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- dtype: float64
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- - name: distance_km
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- dtype: float64
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- - name: revenue
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- dtype: float64
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- - name: loan_amount
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- dtype: float64
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- - name: yield_pct
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- dtype: float64
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- - name: cart_size
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- dtype: float64
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- - name: balance
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- dtype: float64
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- - name: return_rate
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- dtype: float64
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- - name: debt_ratio
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- dtype: float64
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- - name: science_18
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- dtype: float64
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- - name: ecommerce_15
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- dtype: float64
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- - name: rating
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- dtype: float64
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- - name: alcohol_units
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- dtype: float64
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- - name: creatinine
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- dtype: float64
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- - name: concentration
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- dtype: float64
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- - name: logistics_15
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- dtype: float64
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- - name: acceleration
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- dtype: float64
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- - name: on_time
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- dtype: float64
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- - name: transit_days
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- dtype: float64
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- - name: return_flag
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- dtype: float64
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- - name: bmi
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- dtype: float64
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- - name: energy_kj
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 21580119
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- num_examples: 16500
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- download_size: 2310682
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- dataset_size: 21580119
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- configs:
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- - config_name: datagen_104
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- data_files:
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- - split: train
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- path: datagen_104/train-*
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  ---
258
 
259
  # Tabula Pretraining Corpus
@@ -267,10 +25,10 @@ synthetic ones.
267
 
268
  | Metric | Value |
269
  |--------|-------|
270
- | Total rows | 1,554,500 |
271
  | Real-data batches | 0 |
272
- | Synthetic batches | 42 |
273
- | Last updated | 2026-03-12 15:17 UTC |
274
 
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  ## Schema
276
 
@@ -323,6 +81,7 @@ Every row has feature columns plus `_source_meta` (JSON string):
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  | datagen_100 | synthetic | SCM | synthetic:SCM | 12 | 62500 | success |
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  | datagen_101 | synthetic | GaussianMixture | synthetic:GaussianMixture | 13 | 65500 | success |
325
  | datagen_102 | synthetic | Polynomial | synthetic:Polynomial | 13 | 53000 | success |
 
326
 
327
 
328
  ## Key Citations
 
1
  ---
2
  license: other
3
  task_categories:
4
+ - tabular-classification
5
+ - tabular-regression
6
  language:
7
+ - en
8
  tags:
9
+ - tabular
10
+ - synthetic
11
+ - real-data
12
+ - pretraining
13
+ - tabpfn
14
+ pretty_name: "Tabula Pretraining Corpus"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
  ---
16
 
17
  # Tabula Pretraining Corpus
 
25
 
26
  | Metric | Value |
27
  |--------|-------|
28
+ | Total rows | 1,611,000 |
29
  | Real-data batches | 0 |
30
+ | Synthetic batches | 43 |
31
+ | Last updated | 2026-03-12 15:18 UTC |
32
 
33
  ## Schema
34
 
 
81
  | datagen_100 | synthetic | SCM | synthetic:SCM | 12 | 62500 | success |
82
  | datagen_101 | synthetic | GaussianMixture | synthetic:GaussianMixture | 13 | 65500 | success |
83
  | datagen_102 | synthetic | Polynomial | synthetic:Polynomial | 13 | 53000 | success |
84
+ | datagen_103 | synthetic | Regression | synthetic:Regression | 15 | 56500 | success |
85
 
86
 
87
  ## Key Citations