The dataset viewer is not available for this split.
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 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.
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 manifestports.json- public interface port rolescurrent-character.json- complete current character sheet/archivecurrent-character.md- human/LLM-readable character sheetcurrent-character.jsonl- current character as one JSONL recordcharacter-sheet-history.jsonl- every scheduled character-publication attemptguest-experience-history.jsonl- recorded Guest read-back experiencellms.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
- Pull the current complete we6jbo character sheet as JSON.
- Read the same character in Markdown without writing code.
- Inspect Souls, level, attributes, humanity, covenant, current area and NG cycle.
- Inspect equipped weapons/armor/rings and full inventory.
- Inspect keys and other progression-related items present in the archive.
- Use the offline replication profile as structured input for character/stat tools.
- Build charts or dashboards from the character JSON.
- Compare scheduled snapshots/history to study character progression over time.
- Feed the public JSON/Markdown into a local RAG or LLM system as project context.
- Build derived public datasets such as embeddings, classifications or summaries.
- Validate integrations against the documented 54224/33315 interface roles.
- 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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