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Wild Bench β€” can the shipped system clean real-world tables?

Behavioral audit + seeded inject-recovery per dataset (eval/wild_bench.py).

dataset domain rowsΓ—cols valid changes flags PII silent typo ocr case ws mean
airlines aviation 56Γ—8 βœ“ 413 1 1 0 β€” β€” β€” β€” β€”
billboard music-billboard 317Γ—83 βœ“ 36222 3 2 0 0.00 0.00 0.00 0.00 0.00
acnc_charities nonprofits-au 800Γ—69 βœ“ 43268 4 1 0 0.00 0.00 0.01 0.01 0.01
open_food_facts food-products 800Γ—211 βœ“ 27115 34 5 0 0.02 0.02 0.02 0.03 0.02
biz_sf sf-business 800Γ—38 βœ“ 8060 12 1 0 0.02 0.05 0.02 0.07 0.04
irs_eo1 nonprofits-us 800Γ—28 βœ“ 16953 5 3 0 0.04 0.03 0.03 0.15 0.06
permits_nyc construction 800Γ—60 βœ“ 16762 25 3 0 0.03 0.04 0.04 0.13 0.06
pawnbrokers_nyc business 800Γ—31 βœ“ 8494 8 2 0 0.06 0.08 0.05 0.11 0.08
proptax_sf real-estate 800Γ—46 βœ“ 9302 3 3 0 0.06 0.06 0.07 0.12 0.08
biz_chicago business-licenses 800Γ—37 βœ“ 12808 9 2 0 0.05 0.06 0.06 0.15 0.08
permits_seattle seattle-permits 800Γ—40 βœ“ 6878 9 2 0 0.08 0.13 0.09 0.14 0.11
restaurants_nyc restaurants 800Γ—27 βœ“ 7742 6 4 0 0.07 0.08 0.09 0.20 0.11
titanic passengers 800Γ—12 βœ“ 5722 1 0 0 0.00 0.00 0.09 0.40 0.12
biz_la la-business 800Γ—16 βœ“ 2726 9 3 0 0.15 0.09 0.10 0.21 0.14
schools_nyc education 800Γ—41 βœ“ 14387 7 5 0 0.08 0.14 0.12 0.22 0.14
online_retail ecommerce-uk 800Γ—8 βœ“ 3413 1 0 0 0.26 0.01 0.01 0.30 0.14
film_nyc film 800Γ—14 βœ“ 3049 3 0 0 0.14 0.16 0.11 0.23 0.16
salary_survey survey 800Γ—18 βœ“ 4142 5 0 0 0.12 0.20 0.13 0.26 0.18
restaurants_sf sf-restaurants 800Γ—22 βœ“ 6002 6 2 0 0.15 0.15 0.16 0.26 0.18
alcohol_tx alcohol-bars 800Γ—24 βœ“ 8518 9 1 0 0.14 0.09 0.17 0.38 0.20
contractors_chi contractors 800Γ—116 βœ“ 20213 22 2 0 0.17 0.20 0.16 0.33 0.21
fhv_nyc transport 800Γ—23 βœ“ 3789 4 2 0 0.10 0.30 0.14 0.36 0.23
uk_price_paid real-estate-uk 800Γ—16 βœ“ 1662 8 0 0 0.14 0.17 0.26 0.42 0.25
food_chicago food-inspections 800Γ—17 βœ“ 2790 6 0 0 0.17 0.25 0.23 0.38 0.26
bx_books books 800Γ—8 βœ“ 1650 3 1 0 0.22 0.22 0.16 0.51 0.28
bl_flickr_books library 800Γ—15 βœ“ 1769 6 1 0 0.19 0.28 0.22 0.43 0.28
svc311_nyc complaints 800Γ—44 βœ“ 6299 16 2 0 0.23 0.30 0.23 0.37 0.28
spotify music 800Γ—23 βœ“ 4669 3 1 0 0.20 0.28 0.30 0.36 0.28
glassdoor_jobs job-listings 800Γ—14 βœ“ 1713 6 0 0 0.20 0.29 0.22 0.43 0.29
ct_real_estate real-estate-us 800Γ—14 βœ“ 4840 4 0 0 0.23 0.29 0.24 0.40 0.29
worldcities geography 800Γ—4 βœ“ 914 2 0 0 0.41 0.11 0.22 0.69 0.36
fec_indiv80 political-finance 800Γ—21 βœ“ 4375 4 2 0 0.20 0.24 0.35 0.87 0.41
payroll_nyc jobs 800Γ—17 βœ“ 4587 3 2 0 0.45 0.56 0.42 0.73 0.54
paris_trees urban-fr 800Γ—16 βœ“ 3305 5 1 0 0.43 0.54 0.55 0.73 0.56
ev_wa vehicles 800Γ—16 βœ“ 4085 5 2 0 0.50 0.56 0.48 0.91 0.61