The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/facilities/[]/sources/[]) changed from string to object in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ArusGrid data center buildout
The dataset behind arusgrid.com, a map of the AI data center buildout tracked project by project. 522 active projects across Malaysia, Singapore, Indonesia, Thailand, Vietnam, the Philippines, the UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, India and China's national computing hubs. 38.6 GW of planned IT load as of October 2026.
For each project: where it stands in the construction lifecycle (announced, land and permitting, financing closed, under construction, commissioning, operational, expanding, on hold, cancelled), who builds it, who funds it, who operates it, who buys the capacity, how much IT load it carries, the capital behind it, and what power costs. Every stage move carries a dated source. Every project carries an evidence tier computed by fixed public rules, described at https://arusgrid.com/methodology.
Files
data.json is the single source of truth: meta (regions, markets with published vacancy, country tariffs, capital deals, chip export-control frameworks) and facilities[]. colo.json holds colocation prices. policy.json holds the country rules pages. SCHEMA.md describes the fields. The canonical copy and daily updates live at https://github.com/arusgrid/arusgrid-data; the live files are always at https://arusgrid.com/data.json.
Reading the numbers
MW figures are IT load unless power.mw_basis says otherwise. Unknown figures are omitted, never estimated. live_mw null means the operator has not disclosed it. Chinese rows may carry rack counts instead of MW; a rack count is never converted to MW. Market vacancy appears only where a broker published it. Cancelled projects are kept with stage cancelled.
Loading
import json, urllib.request
d = json.load(urllib.request.urlopen("https://arusgrid.com/data.json"))
rows = [f for f in d["facilities"] if f["stage"] != "cancelled"]
Licence and contact
CC BY-NC 4.0. Commercial use by arrangement: hello@arusgrid.com. Corrections: corrections@arusgrid.com or the form on any project page.
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