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---
name: data-interfaces
description: "Validate, convert, load, and serialize sktime data containers and
tiny datasets without relying on source checkout files."
disable-model-invocation: true
metadata:
disco-role: operating
license: BSD 3-Clause
---
# Data Interfaces
Use this sub-skill when a task is about `sktime` data containers, scitypes,
mtypes, validation/conversion, onboard or downloaded datasets, and time-series
file formats.
## Route here
- Decide whether data is `Series`, `Panel`, `Hierarchical`, or `Table`.
- Validate or convert pandas/numpy containers with `check_is_mtype` and `convert_to`.
- Load onboard datasets such as airline, ArrowHead, BasicMotions, or Tecator.
- Explain downloaded dataset surfaces and cache/network requirements.
- Read or write `.ts`, `.tsf`, ARFF, UCR TSV, and long-table time-series files.
## Route away
Estimator fitting and scoring route to the owning workflow sub-skill after data
is valid.
## References and helper
- [Data formats](references/data-formats.md) for scitypes, mtypes, validation,
conversion, and panel/hierarchical layout rules.
- [Dataset and file I/O](references/dataset-io.md) for onboard loaders,
downloaded datasets, and file serialization.
- [Troubleshooting](references/troubleshooting.md) for validation messages,
MultiIndex issues, loader/cache failures, and missing labels.
- Run [scripts/check_data_format.py](scripts/check_data_format.py) and
[scripts/tsfile_roundtrip.py](scripts/tsfile_roundtrip.py) for offline checks.
