Add batch datagen_104 (16,500 rows)

README.md

@@ -1,17 +1,259 @@
 ---
 license: other
 task_categories:
-  - tabular-classification
-  - tabular-regression
+- tabular-classification
+- tabular-regression
 language:
-  - en
+- en
 tags:
-  - tabular
-  - synthetic
-  - real-data
-  - pretraining
-  - tabpfn
-pretty_name: "Tabula Pretraining Corpus"
+- tabular
+- synthetic
+- real-data
+- pretraining
+- tabpfn
+pretty_name: Tabula Pretraining Corpus
+dataset_info:
+  config_name: datagen_104
+  features:
+  - name: peer_rating
+    dtype: float64
+  - name: tenure_years
+    dtype: float64
+  - name: role_level
+    dtype: float64
+  - name: remote_days
+    dtype: float64
+  - name: team_size
+    dtype: float64
+  - name: absences
+    dtype: float64
+  - name: performance_score
+    dtype: float64
+  - name: promotions
+    dtype: float64
+  - name: overtime_hours
+    dtype: float64
+  - name: satisfaction
+    dtype: float64
+  - name: department_id
+    dtype: float64
+  - name: bonus_pct
+    dtype: float64
+  - name: salary
+    dtype: float64
+  - name: training_hours
+    dtype: float64
+  - name: attrition
+    dtype: float64
+  - name: hr_15
+    dtype: float64
+  - name: hr_16
+    dtype: float64
+  - name: hr_17
+    dtype: float64
+  - name: hr_18
+    dtype: float64
+  - name: target
+    dtype: float64
+  - name: _source_meta
+    dtype: large_string
+  - name: science_17
+    dtype: float64
+  - name: clicks
+    dtype: float64
+  - name: health_18
+    dtype: float64
+  - name: family_history
+    dtype: float64
+  - name: health_17
+    dtype: float64
+  - name: science_15
+    dtype: float64
+  - name: margin
+    dtype: float64
+  - name: fragile
+    dtype: float64
+  - name: finance_15
+    dtype: float64
+  - name: expenses
+    dtype: float64
+  - name: cost_usd
+    dtype: float64
+  - name: health_15
+    dtype: float64
+  - name: default
+    dtype: float64
+  - name: fever
+    dtype: float64
+  - name: volume
+    dtype: float64
+  - name: exercise_days
+    dtype: float64
+  - name: interest_rate
+    dtype: float64
+  - name: ecommerce_17
+    dtype: float64
+  - name: heart_rate
+    dtype: float64
+  - name: category
+    dtype: float64
+  - name: quantity
+    dtype: float64
+  - name: velocity
+    dtype: float64
+  - name: blood_pressure
+    dtype: float64
+  - name: damage_rate
+    dtype: float64
+  - name: temperature_k
+    dtype: float64
+  - name: employment_years
+    dtype: float64
+  - name: conversion
+    dtype: float64
+  - name: purity
+    dtype: float64
+  - name: price
+    dtype: float64
+  - name: reaction_time
+    dtype: float64
+  - name: credit_score
+    dtype: float64
+  - name: warehouse_id
+    dtype: float64
+  - name: route_id
+    dtype: float64
+  - name: reviews
+    dtype: float64
+  - name: smoking
+    dtype: float64
+  - name: load_factor
+    dtype: float64
+  - name: mass
+    dtype: float64
+  - name: weight_kg
+    dtype: float64
+  - name: pressure_pa
+    dtype: float64
+  - name: glucose
+    dtype: float64
+  - name: refund
+    dtype: float64
+  - name: carrier_id
+    dtype: float64
+  - name: science_16
+    dtype: float64
+  - name: cholesterol
+    dtype: float64
+  - name: priority
+    dtype: float64
+  - name: entropy
+    dtype: float64
+  - name: wavelength
+    dtype: float64
+  - name: ph
+    dtype: float64
+  - name: finance_17
+    dtype: float64
+  - name: fuel_consumption
+    dtype: float64
+  - name: liabilities
+    dtype: float64
+  - name: income
+    dtype: float64
+  - name: logistics_17
+    dtype: float64
+  - name: ecommerce_18
+    dtype: float64
+  - name: customs_flag
+    dtype: float64
+  - name: shipping_days
+    dtype: float64
+  - name: diagnosis
+    dtype: float64
+  - name: session_minutes
+    dtype: float64
+  - name: intensity
+    dtype: float64
+  - name: churn
+    dtype: float64
+  - name: finance_16
+    dtype: float64
+  - name: finance_18
+    dtype: float64
+  - name: hemoglobin
+    dtype: float64
+  - name: logistics_18
+    dtype: float64
+  - name: white_cell_count
+    dtype: float64
+  - name: assets
+    dtype: float64
+  - name: logistics_16
+    dtype: float64
+  - name: tax_rate
+    dtype: float64
+  - name: ecommerce_16
+    dtype: float64
+  - name: discount
+    dtype: float64
+  - name: health_16
+    dtype: float64
+  - name: age
+    dtype: float64
+  - name: distance_km
+    dtype: float64
+  - name: revenue
+    dtype: float64
+  - name: loan_amount
+    dtype: float64
+  - name: yield_pct
+    dtype: float64
+  - name: cart_size
+    dtype: float64
+  - name: balance
+    dtype: float64
+  - name: return_rate
+    dtype: float64
+  - name: debt_ratio
+    dtype: float64
+  - name: science_18
+    dtype: float64
+  - name: ecommerce_15
+    dtype: float64
+  - name: rating
+    dtype: float64
+  - name: alcohol_units
+    dtype: float64
+  - name: creatinine
+    dtype: float64
+  - name: concentration
+    dtype: float64
+  - name: logistics_15
+    dtype: float64
+  - name: acceleration
+    dtype: float64
+  - name: on_time
+    dtype: float64
+  - name: transit_days
+    dtype: float64
+  - name: return_flag
+    dtype: float64
+  - name: bmi
+    dtype: float64
+  - name: energy_kj
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 21580119
+    num_examples: 16500
+  download_size: 2310682
+  dataset_size: 21580119
+configs:
+- config_name: datagen_104
+  data_files:
+  - split: train
+    path: datagen_104/train-*
 ---
 
 # Tabula Pretraining Corpus

datagen_104/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1756e4412fb0b2c9606aed334bccd142cbfcc84ffd25faa434255f7f41689688
+size 2310682