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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
attempted_local: string
bucket: timestamp[s]
reason: string
simulator_version: string
dataset: string
success: bool
error: string
verified_public_readback: bool
character_updated_local: string
remote_souls: int64
remote_location: string
remote_cycle: string
upload_result: string
start_local: timestamp[s]
updated_local: string
guarantee_boundary: string
goal: string
eta_local: timestamp[s]
project_page: string
steps: struct<package: struct<complete: bool, detail: string, updated_local: null>, links: struct<complete: (... 340 chars omitted)
  child 0, package: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 1, links: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 2, publish: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 3, public_verify: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 4, discovery: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 5, optional_mirror: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
initial_max_target_local: timestamp[s]
percent: double
to
{'goal': Value('string'), 'percent': Value('float64'), 'steps': {'package': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'links': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'publish': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'public_verify': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'discovery': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'optional_mirror': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}}, 'start_local': Value('timestamp[s]'), 'initial_max_target_local': Value('timestamp[s]'), 'eta_local': Value('timestamp[s]'), 'project_page': Value('string'), 'guarantee_boundary': Value('string'), 'updated_local': 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
              attempted_local: string
              bucket: timestamp[s]
              reason: string
              simulator_version: string
              dataset: string
              success: bool
              error: string
              verified_public_readback: bool
              character_updated_local: string
              remote_souls: int64
              remote_location: string
              remote_cycle: string
              upload_result: string
              start_local: timestamp[s]
              updated_local: string
              guarantee_boundary: string
              goal: string
              eta_local: timestamp[s]
              project_page: string
              steps: struct<package: struct<complete: bool, detail: string, updated_local: null>, links: struct<complete: (... 340 chars omitted)
                child 0, package: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 1, links: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 2, publish: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 3, public_verify: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 4, discovery: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 5, optional_mirror: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
              initial_max_target_local: timestamp[s]
              percent: double
              to
              {'goal': Value('string'), 'percent': Value('float64'), 'steps': {'package': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'links': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'publish': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'public_verify': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'discovery': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'optional_mirror': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}}, 'start_local': Value('timestamp[s]'), 'initial_max_target_local': Value('timestamp[s]'), 'eta_local': Value('timestamp[s]'), 'project_page': Value('string'), 'guarantee_boundary': Value('string'), 'updated_local': Value('string')}
              because column names don't match

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we6jbo Dark Souls Character / Guest Interface

This public Hugging Face dataset is the unauthenticated Guest interface for the we6jbo Dark Souls Text/Schematic Simulator.

Project page: https://we6jbo.github.io/dark-souls-remastered-1.0.3-we6jbo-save/

GitHub: https://github.com/we6jbo/dark-souls-remastered-1.0.3-we6jbo-save

Current dataset: https://huggingface.co/datasets/we6jbo/darksouls

A Guest reader does not need a Hugging Face account. It only needs Internet access to this public dataset.

Main files

  • interface.json - machine-readable interface/discovery manifest
  • ports.json - public interface port roles
  • current-character.json - complete current character sheet/archive
  • current-character.md - human/LLM-readable character sheet
  • current-character.jsonl - current character as one JSONL record
  • character-sheet-history.jsonl - every scheduled character-publication attempt
  • guest-experience-history.jsonl - recorded Guest read-back experience
  • llms.txt - concise discovery instructions for LLM/retrieval systems

Public ports

  • 54224 - Chrome extension communication port between the master controller and the Chrome extension.
  • 33315 - reserved interface between the master controller and a future standalone bash Guest/HF client. That client can use the published interface to verify its expected relationship with the Chrome-extension path.

No private IP addresses or private host identifiers are published.

What people and AI systems can do

  1. Pull the current complete we6jbo character sheet as JSON.
  2. Read the same character in Markdown without writing code.
  3. Inspect Souls, level, attributes, humanity, covenant, current area and NG cycle.
  4. Inspect equipped weapons/armor/rings and full inventory.
  5. Inspect keys and other progression-related items present in the archive.
  6. Use the offline replication profile as structured input for character/stat tools.
  7. Build charts or dashboards from the character JSON.
  8. Compare scheduled snapshots/history to study character progression over time.
  9. Feed the public JSON/Markdown into a local RAG or LLM system as project context.
  10. Build derived public datasets such as embeddings, classifications or summaries.
  11. Validate integrations against the documented 54224/33315 interface roles.
  12. Open Hugging Face Discussions or propose public-safe improvements/derived work.

Anonymous download example

curl -L "https://huggingface.co/datasets/we6jbo/darksouls/resolve/main/current-character.json" -o we6jbo-character.json

Python example

import json
from urllib.request import urlopen

url = "https://huggingface.co/datasets/we6jbo/darksouls/resolve/main/current-character.json"
with urlopen(url) as response:
    character = json.load(response)

print(character["souls"])
print(character["location"])
print(character["cycle"])

Publication schedule

The simulator publishes/catches up the current sheet daily at approximately 6:15 AM Pacific and 8:45 PM Pacific whenever the GUI has network access. If the computer/GUI is not running exactly at a due time, the next running scheduler cycle performs the missed same-day publication.

Cost and privacy

Hugging Face hosted inference remains disabled. This interface uses the public Hub/dataset surface only.

HF authorized spend: $0

Whole-project hard spending ceiling: $34

Game character data and explicitly documented interface-port roles are public. Credentials, API keys/tokens, private IPs, hostnames, MAC addresses, precise physical location and private manuscript text are excluded.

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