Datasets:

asterisk-labs
/

iris-datasets

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
text: string
vs
name: string
source: string
source_item: string
acquired: string
cloud_cover: double
crop_bbox_wgs84: list<item: double>
bands: list<item: string>
license: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 575, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              text: string
              vs
              name: string
              source: string
              source_item: string
              acquired: string
              cloud_cover: double
              crop_bbox_wgs84: list<item: double>
              bands: list<item: string>
              license: string

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IRIS Earth Observation Demos

Small, browser-ready Earth observation projects for IRIS. Each project lives in its own folder and contains exactly two Cloud Optimized GeoTIFF samples.

Folder	Task	Samples
`cloud-demo/`	Cloud segmentation	Western Australia and the Alps
`flood-mapping/`	Flood extent	Two areas in Sindh, Pakistan
`burn-scars/`	Burn scar mapping	Lahaina and Rhodes
`land-cover/`	Multi-class land cover	Rotterdam and Mato Grosso
`urban-change/`	Urban change, 2018–2025	New Cairo and Riyadh

Every folder follows the same layout:

<project>/
├── project.json
├── images.json
├── images/<id>/s2.tif
├── images/<id>/thumbnail.png
├── images/<id>/metadata.json
└── segmentation/<id>/<user>_mask.tif

The segmentation/ paths are populated by IRIS when an authenticated user saves a mask. Project data and annotation results therefore remain together in this repository. Each user needs a Hugging Face token with write access to this dataset.

The newly prepared samples use Copernicus Sentinel-2 Level-2A imagery accessed through Element 84 Earth Search. See each project folder for source details and the applicable Copernicus Sentinel Data Terms and Conditions.

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