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true-love-fragments

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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
schema: string
generated: timestamp[s]
boundary: string
principle: string
layers: list<item: struct<layer: string, file: string, purpose: string, records: list<item: string>, caution (... 36 chars omitted)
  child 0, item: struct<layer: string, file: string, purpose: string, records: list<item: string>, caution: string, r (... 24 chars omitted)
      child 0, layer: string
      child 1, file: string
      child 2, purpose: string
      child 3, records: list<item: string>
          child 0, item: string
      child 4, caution: string
      child 5, rels: list<item: string>
          child 0, item: string
loop: list<item: string>
  child 0, item: string
joke: string
recommendedRings: list<item: string>
  child 0, item: string
commands: struct<build: string, validate: string, ipfsAdd: string, checksum: string, dnsTxt: string, httpLinks (... 9 chars omitted)
  child 0, build: string
  child 1, validate: string
  child 2, ipfsAdd: string
  child 3, checksum: string
  child 4, dnsTxt: string
  child 5, httpLinks: string
pattern: string
warning: string
rules: list<item: string>
  child 0, item: string
to
{'pattern': Value('string'), 'recommendedRings': List(Value('string')), 'commands': {'build': Value('string'), 'validate': Value('string'), 'ipfsAdd': Value('string'), 'checksum': Value('string'), 'dnsTxt': Value('string'), 'httpLinks': Value('string')}, 'rules': List(Value('string')), 'warning': Value('string')}
because column names don't match
Traceback:    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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema: string
              generated: timestamp[s]
              boundary: string
              principle: string
              layers: list<item: struct<layer: string, file: string, purpose: string, records: list<item: string>, caution (... 36 chars omitted)
                child 0, item: struct<layer: string, file: string, purpose: string, records: list<item: string>, caution: string, r (... 24 chars omitted)
                    child 0, layer: string
                    child 1, file: string
                    child 2, purpose: string
                    child 3, records: list<item: string>
                        child 0, item: string
                    child 4, caution: string
                    child 5, rels: list<item: string>
                        child 0, item: string
              loop: list<item: string>
                child 0, item: string
              joke: string
              recommendedRings: list<item: string>
                child 0, item: string
              commands: struct<build: string, validate: string, ipfsAdd: string, checksum: string, dnsTxt: string, httpLinks (... 9 chars omitted)
                child 0, build: string
                child 1, validate: string
                child 2, ipfsAdd: string
                child 3, checksum: string
                child 4, dnsTxt: string
                child 5, httpLinks: string
              pattern: string
              warning: string
              rules: list<item: string>
                child 0, item: string
              to
              {'pattern': Value('string'), 'recommendedRings': List(Value('string')), 'commands': {'build': Value('string'), 'validate': Value('string'), 'ipfsAdd': Value('string'), 'checksum': Value('string'), 'dnsTxt': Value('string'), 'httpLinks': Value('string')}, 'rules': List(Value('string')), 'warning': Value('string')}
              because column names don't match

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Check out the documentation for more information.

true-love — public landing page

A self-contained, zero-dependency static landing page for true-love (愛).

  • index.html — the whole page (inline CSS, no build step, no JS framework).
  • Faithful to the repo's own words: README.md, WAKE.md, docs/LOVE.md, YOUSPEAK.md.

Preview locally 

cd site
python3 -m http.server 8080
# open http://localhost:8080

Deploy (any static host)

The page is a single static file, so it serves from anywhere. Set the publish directory to site/ (no build command needed).

  • Codeberg Pages (matches the repo's origin): push a branch named pages, or add a .domains file, with the site contents. See https://docs.codeberg.org/codeberg-pages/.
  • Netlify: publish dir site, build command empty (see netlify.toml).
  • GitHub Pages / Cloudflare Pages / any static server: point the root at site/.

No tracking, no paywall, no gatekeeping.

Fragment commons

This landing page can be split into decentralized, content-addressed fragments:

npm run deploy:fragments:local

Outputs live in site/fragments/; the full deploy runbook is FRAGMENT_DEPLOY.md.
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