--- license: odbl pretty_name: 'ApplianceDB: Home Appliance Error Codes & Ranked Repairs' language: - en tags: - appliance-repair - error-codes - home-appliances - manufacturing - engineering size_categories: - n<1K configs: - config_name: error_codes data_files: error_codes.csv - config_name: repair_procedures data_files: repair_procedures.csv - config_name: error_codes_fixes_joined data_files: error_codes_fixes_joined.csv - config_name: replacement_parts data_files: replacement_parts.csv - config_name: brand_recalls data_files: brand_recalls.csv --- ![ApplianceDB](cover.png) # ApplianceDB: Home Appliance Error Codes & Ranked Repairs Relational database mapping 438 home-appliance error codes across 13 brands and 26 (brand, appliance-type) pairs to 288 ranked repair procedures with DIY difficulty tiers. Every code is identified by its composite (brand, appliance_type, code) key — Samsung washer 5C is a distinct record from Samsung dishwasher 5C. ## Files / configs Each table is a separate config for the Datasets viewer: - `error_codes` — 438 fault codes keyed by composite `(brand, appliance_type, code)`, with meaning, component, cause category, severity and source URL - `repair_procedures` — 288 ranked repair procedures with DIY difficulty tiers - `error_codes_fixes_joined` — denormalized error-code ↔ ranked-fix join for quick analysis - `replacement_parts` — OEM replacement parts linked to procedures - `brand_recalls` — related brand recall references ## Quick start ```python from datasets import load_dataset codes = load_dataset("Ichlibitiche/appliancedb-error-codes-repair-database", "error_codes", split="train") fixes = load_dataset("Ichlibitiche/appliancedb-error-codes-repair-database", "repair_procedures", split="train") ``` Or with pandas: ```python import pandas as pd codes = pd.read_csv("hf://datasets/Ichlibitiche/appliancedb-error-codes-repair-database/error_codes.csv") ``` ## Coverage - **13 brands:** Beko, Bosch, Candy, Frigidaire, GE, Hoover, Hotpoint, Indesit, LG, Maytag, Miele, Samsung, Whirlpool - **5 appliance types:** dishwasher, dryer, oven/range, refrigerator, washer ## Portal & full documentation Portal: https://appliancedb-public.pages.dev/ · Docs & data dictionary: https://github.com/ApplianceDB/ApplianceDB-public ## License **ODbL-1.0** (Open Database License). Facts re-derived from official manufacturer support listings with per-row source URLs; meanings and repair steps paraphrased into original wording. ## Provenance & Methodology Every code fact is re-derived from an official manufacturer support listing (LG, Samsung, GE) with the exact source URL recorded per row; all meanings and repair steps are paraphrased into original wording (no verbatim manufacturer prose). Repair ranks carry an explicit basis (manufacturer_first). Costs are left NULL where no verified price observation exists — never guessed. Each release is built by a deterministic, test-gated pipeline (composite-uniqueness, controlled-vocabulary, rank-contiguity, and >=10-codes-per-pair coverage gates). Full documentation and data dictionary: https://github.com/ApplianceDB/ApplianceDB-public