Datasets:

TheSaiyanVictoria
/

nexus-persona-canon

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
slug: string
title: string
canonical_url: string
body_markdown: string
platform_links: struct<youtube: string, tiktok: string, instagram: string, deviantart: string, steam_workshop: strin (... 54 chars omitted)
  child 0, youtube: string
  child 1, tiktok: string
  child 2, instagram: string
  child 3, deviantart: string
  child 4, steam_workshop: string
  child 5, reddit: string
  child 6, link: string
  child 7, nexus_player: string
seo_tags: list<item: string>
  child 0, item: string
description: string
persona: string
created_at: string
real_world_location: struct<name: string, streetAddress: string, addressLocality: string, addressRegion: string, postalCo (... 141 chars omitted)
  child 0, name: string
  child 1, streetAddress: string
  child 2, addressLocality: string
  child 3, addressRegion: string
  child 4, postalCode: string
  child 5, addressCountry: string
  child 6, dateBuilt: string
  child 7, dateClosed: string
  child 8, dateDemolished: string
  child 9, notes: string
  child 10, sameAs: list<item: string>
      child 0, item: string
name: string
role: string
alternate_names: list<item: string>
  child 0, item: string
to
{'name': Value('string'), 'alternate_names': List(Value('string')), 'role': 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
              slug: string
              title: string
              canonical_url: string
              body_markdown: string
              platform_links: struct<youtube: string, tiktok: string, instagram: string, deviantart: string, steam_workshop: strin (... 54 chars omitted)
                child 0, youtube: string
                child 1, tiktok: string
                child 2, instagram: string
                child 3, deviantart: string
                child 4, steam_workshop: string
                child 5, reddit: string
                child 6, link: string
                child 7, nexus_player: string
              seo_tags: list<item: string>
                child 0, item: string
              description: string
              persona: string
              created_at: string
              real_world_location: struct<name: string, streetAddress: string, addressLocality: string, addressRegion: string, postalCo (... 141 chars omitted)
                child 0, name: string
                child 1, streetAddress: string
                child 2, addressLocality: string
                child 3, addressRegion: string
                child 4, postalCode: string
                child 5, addressCountry: string
                child 6, dateBuilt: string
                child 7, dateClosed: string
                child 8, dateDemolished: string
                child 9, notes: string
                child 10, sameAs: list<item: string>
                    child 0, item: string
              name: string
              role: string
              alternate_names: list<item: string>
                child 0, item: string
              to
              {'name': Value('string'), 'alternate_names': List(Value('string')), 'role': Value('string')}
              because column names don't match

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TheSaiyanVictoria Nexus — Persona Canon

A curated corpus of persona-grounded landing pages from the TheSaiyanVictoria Nexus — a multi-character AI persona universe by TheSaiyanVictoria.

Last updated: 2026-09-05 Records: 86 landing pages · 14 characters

Structure

Two files, both JSON Lines (.jsonl):

`nexus_canon.jsonl` — Landing pages

One line per landing page. Fields:

Field	Type	Description
`slug`	string	URL slug, unique per drop
`title`	string	Full title
`persona`	string	Canonical persona (e.g., `Temporal Vixen`)
`description`	string	Short summary
`canonical_url`	string	Nexus Player URL
`body_markdown`	string	Full body copy (persona-grounded prose)
`platform_links`	object	Mirror URLs per platform
`real_world_location`	object \| null	Optional real-world Place entity
`created_at`	string	ISO-8601 timestamp

`characters.jsonl` — Canonical personas

One line per registered character. Fields:

Field	Type	Description
`name`	string	Canonical full name (e.g., `Shy Kefla`)
`alternate_names`	list[string]	Handles / stage-name variants
`role`	string	Archetype in the Nexus

Sample use

from datasets import load_dataset
ds = load_dataset("TheSaiyanVictoria/nexus-persona-canon", data_files="nexus_canon.jsonl")
print(ds["train"][0]["body_markdown"])

Or fine-tune a persona voice:

# Fine-tune Llama to speak in Temporal Vixen's voice
canon = load_dataset("TheSaiyanVictoria/nexus-persona-canon", data_files="nexus_canon.jsonl")
temporal_vixen_only = canon.filter(lambda r: r["persona"] == "Temporal Vixen")
# … proceed with SFT training on `body_markdown`

Character naming rules

Every character must be referenced by their full canonical name. See characters.jsonl for the registry. Notably:

Shy Kefla — never just "Shy" or "Kefla"
Vixen Victoria / Temporal Vixen — never just "Vixen"
Fused Zamasu — never just "Zamasu"
Goddess Vanessa — never just "Vanessa"

Citation

If you use this corpus, please cite:

@dataset{nexus_canon_20260905,
  author = {TheSaiyanVictoria},
  title = {TheSaiyanVictoria Nexus — Persona Canon},
  year = {2026},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/TheSaiyanVictoria/nexus-persona-canon},
  note = {Source: https://www.thesaiyanvictoria.com/}
}

License

CC-BY-4.0. Attribute TheSaiyanVictoria and link to https://www.thesaiyanvictoria.com/ when using this corpus in downstream models, research, or derivative works.

Ethics + provenance

All character content is original, authored by TheSaiyanVictoria. The Nexus canon's public robots.txt marks ai-train=no for open-web crawlers — this HuggingFace release is a deliberate, licensed opt-in for the open-source ML community, not a scrape.

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