Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
runs: list<item: struct<run: int64, ready: bool, returncode: int64, seconds: double, errors: list<item: null>>>
vs
method: string
routes: list<item: null>
llm_used: bool
geometry_changed: bool
photo_detail: string
limitations: list<item: 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:
runs: list<item: struct<run: int64, ready: bool, returncode: int64, seconds: double, errors: list<item: null>>>
vs
method: string
routes: list<item: null>
llm_used: bool
geometry_changed: bool
photo_detail: string
limitations: list<item: string>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Earthcraft
The Earth in Minecraft, one block per metre. Earthcraft rebuilds real places from public elevation, LiDAR and map data. It starts with Chicago. Today the world covers about 2,600 km² of the Chicago area, and it grows from there.
Explore it in your browser: ericspencer.us/earthcraft
Source code: github.com/EricSpencer00/earthcraft
Play it
You need Minecraft Java Edition 1.21.10. The whole world is about 42 GB.
hf download EricSpencer00/earthcraft --repo-type dataset --include "world/*" --local-dir earthcraft
mkdir -p Earthcraft/region Earthcraft/entities
cp -R earthcraft/world/meta/. Earthcraft/
find earthcraft/world/region -name '*.mca' -exec mv {} Earthcraft/region/ \;
find earthcraft/world/entities -name '*.mca' -exec mv {} Earthcraft/entities/ \;
Move the Earthcraft folder into your Minecraft saves folder and open it. You start at the
Chicago Water Tower. Distant Horizons is
recommended for long views.
What's here
| Folder | What it holds |
|---|---|
world/ |
The playable world: Minecraft region files and settings. world/index/regions.json lists every region and which chunks exist. |
tiles/ |
The world as it was generated, one 512 m square at a time. |
detail/ |
Layers added on top of the base world: trees, sidewalks and crossings, cleaned-up buildings, water. |
qa/ |
Rendered samples of the world with quality scores. |
sources/ |
Prepared map indexes the generator reads. |
catalog.json |
A machine-readable index of everything here, with sizes and checksums. |
snapshots/, validations/, releases/, archive/ |
Earlier releases, kept for reference. |
Places that aren't listed haven't been built yet. They aren't empty land.
Use the data
Every file can be read over HTTP, and region files support range requests, so you can read a single chunk without downloading its whole region:
- Find the region in
world/index/regions.json. - Read bytes
0–8191ofworld/region/<floor(X/16)>/r.X.Z.mca. That's the chunk table. - Read the chunk's sectors. Each holds a 4-byte length, a compression byte (2 = zlib), then the chunk data.
For a stable reference, pin a commit: fetch catalog.json at that commit and every path at the same commit.
How it's made
- Ground: USGS 3D Elevation Program elevation and LiDAR.
- Buildings: LiDAR roofs on OpenStreetMap, Overture and county building outlines.
- Detail: trees from LiDAR, and streets, sidewalks, crossings and street furniture from OpenStreetMap and city open data.
- Ground colour: NAIP aerial imagery and ESA WorldCover land cover.
- Next: building colours and windows from open street-level photos (Mapillary, Panoramax).
Everything is generated by code and uploaded here automatically. No player data is published.
Credits and licences
- Map data © OpenStreetMap contributors, ODbL 1.0. Because the world is built from it, the world data is shared under ODbL 1.0.
- USGS 3DEP LiDAR (including Merrick-Surdex 2022 Mid-North Illinois), U.S. public domain.
- Overture Maps Foundation buildings (ODbL 1.0); Cook County GIS building footprints.
- USDA NAIP imagery (public domain); ESA WorldCover 2021 (CC BY 4.0).
- The Water Tower texture in
world/meta/resources.zipis adapted from "Chicago Water Tower view from west" by Dough4872, Wikimedia Commons, CC BY-SA 4.0. - Earthcraft's code is Apache 2.0.
Older files in releases/ carry their own attribution notes.
NOT AN OFFICIAL MINECRAFT PRODUCT. NOT APPROVED BY OR ASSOCIATED WITH MOJANG OR MICROSOFT.
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