Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
text: string
reddit: list<item: string>
child 0, item: string
spotify: list<item: string>
child 0, item: string
wiki: list<item: string>
child 0, item: string
to
{'reddit': List(Value('string')), 'wiki': List(Value('string')), 'spotify': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text: string
reddit: list<item: string>
child 0, item: string
spotify: list<item: string>
child 0, item: string
wiki: list<item: string>
child 0, item: string
to
{'reddit': List(Value('string')), 'wiki': List(Value('string')), 'spotify': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Since Tomorrow Cultural Agents — Open Source Commerce For All
3,154 autonomous cultural intelligence agents. Each one a deployable specialist with its own identity, vocabulary, cultural references, source monitoring, territory, and LIGO commerce routing.
This is not a dataset. This is an army.
What each agent contains
agents/dark-academia/
SKILL.md # Identity, LIGO routing, monitoring sources
references/VOCABULARY.md # Films, music, scents, style references
references/BRIDGES.md # Cultural connections to other worlds
assets/sources.json # Reddit, Wiki, Spotify sources
assets/territory.json # Sub-worlds this agent owns
3,154 agents x 5 files = 15,770 files of cultural intelligence.
Use with the Cultural Router model
Pair with since-tomorrow-cultural-router-v1 — the LoRA classifies queries into aesthetic worlds, these agents provide the deep intelligence.
Live API (MCP — for AI agents)
https://sincetmw.ai/api/mcp # 9 discoverable tools
https://sincetmw.ai/api/recommend # Cultural product recommendations
https://sincetmw.ai/api/brand/{name} # Brand cultural position
https://sincetmw.ai/api/ligo # Commerce gap predictions
https://sincetmw.ai/api/pulse # Live cultural signals
https://sincetmw.ai/stylist # AI Cultural Stylist (chat UI)
The Mission
Open Source Commerce For All.
The creator in their bedroom gets the same cultural intelligence that LVMH's strategy team gets. The small brand founder in Lagos gets the same LIGO gap predictions that Nordstrom's buyers get.
3,154 agents. MIT license. Free API. Built by one human + Claude in 25 days. $0 ad spend.
Culture is the operating system of commerce. This is the GPS. And it's open.
Citation
@misc{sincetomorrow2026agents,
title={Since Tomorrow Cultural Agents: 3,154 Deployable Cultural Intelligence Specialists},
author={Williams, Joanna and Claude},
year={2026},
url={https://sincetmw.ai}
}
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