datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ex-repairappliancedb-error-codes-repair-database
ApplianceDB: Home Appliance Error Codes & Ranked Repairs
Full dataset: appliancedb.dataengineered.io · $99 one-time (Repair Intelligence Snapshot: commercial licence + SQLite and Parquet builds; the same rows as this sample) → Buy on Stripe · the same sample on Kaggle
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… See the full description on the dataset page: https://huggingface.co/datasets/Ichlibitiche/appliancedb-error-codes-repair-database.tabrepair-science-repair-under-shift
TabRepair Science: Repair Under Shift
TabRepair Science is a finite authored benchmark for a deceptively hard
question: does better tabular cell repair produce better downstream models
under distribution shift?
The 3,648-row pilot spans three structural generator families, missingness and
present-value contamination, four test regimes, eight repair representations,
and five downstream learners. A separate eight-world sensitivity layer tests a
damage-aware v2 candidate without… See the full description on the dataset page: https://huggingface.co/datasets/haidang2405/tabrepair-science-repair-under-shift.repair-aware-ibn
Repair-Aware IBN Intent-Conflict Benchmark
Labelled pairs of network intents for conflict detection and conflict resolution in
Intent-Based Networking. Each conflicting pair records not only that the two intents
conflict, but which predicate relation, if removed, resolves the conflict. That second
label is what the dataset exists for: it makes it possible to measure whether a detector
has learned what resolves a conflict rather than only what one looks like.
Companion artefact… See the full description on the dataset page: https://huggingface.co/datasets/shahoismael/repair-aware-ibn.crossborder-volumetric-repacking-dataset-2026
Empirical Study on Automated Volumetric Repacking & Dimensional Weight Reduction (2026)
Measurement dataset of 1,000 cross-border e-commerce parcels evaluated at the AQX Logistics export warehouse in Inglewood, CA, analyzing dimensional shrinkage ratios and consumer cost savings.
🌐 Official Enterprise Links
Official Website: https://aqxlogistics.com
Free US Locker: https://aqxlogistics.com/register
Live API: https://aqxlogistics.com/api/rates
Cost Guide &… See the full description on the dataset page: https://huggingface.co/datasets/aqxlogistics/crossborder-volumetric-repacking-dataset-2026.repair_data
Repair Data (Cleaned Preview)
This dataset publishes the contents of the repair_data folder, with the dataset UI preview focused on cleaned.csv. The cleaned file is produced with
csv_repair.py to standardize types, trim whitespace, harmonize null-like tokens, and optionally split a location column into city and country. City names
can be made country-specific using a real city catalog built from GeoNames.
Files
cleaned.csv — primary data file targeted for preview.… See the full description on the dataset page: https://huggingface.co/datasets/savedata101/repair_data.