Link the full dataset: portal, price and buy link

README.md

@@ -1,77 +1,79 @@
----
-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.dataengineered.io/ · 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).
-
+---
+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
+
+> **Full dataset:** [appliancedb.dataengineered.io](https://appliancedb.dataengineered.io/) · **$299 one-time** (Repair Intelligence Snapshot) → [Buy on Stripe](https://buy.stripe.com/9B64gA08Mcnk7nJgyY3840a) · the same sample on [Kaggle](https://www.kaggle.com/datasets/ahtiticheamine/appliancedb-error-codes-repair-database)
+
+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.dataengineered.io/ · 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