The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Column(/evidence/[]/locator) changed from string to object in row 1
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Trailing data
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, 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 177, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/evidence/[]/locator) changed from string to object in row 1Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Awakened-Ethics-Free
An open sample of classical philosophy and ethics from Iron Bank v1.1.0
π¬ See It In Action
Video Demo: Watch this pack power a baseline vs ADS comparison β YouTube β Awakened Ethics Demo
Dataset Description
This dataset contains 5,276 wisdom nodes extracted from classical philosophy and ethics texts (Project Gutenberg public domain). Sources include Marcus Aurelius, Seneca, Epictetus, Plato, and other timeless thinkers.
Unlike typical scraped data, every node has:
- Evidence chains back to source text
- Posterior score (extraction confidence: 0.0-1.0)
- Warmth rating (human-relevance indicator)
- Provenance tracking via lineage fields
Statistics
| Metric | Value |
|---|---|
| Nodes | 5,276 |
| Average Posterior | 0.923 |
| Source | Iron Bank v1.1.0, pack ethics_gutenberg |
| Warmth Filter | high, medium |
π Related Resources
This dataset is part of the Iron Bank v1.1.0 corpus:
- π Full Catalog: awakened-data-catalog β browse all packs, stats, and versions
- π¦ GitHub Samples: awakened-wisdom-samples β matching JSONL files + data cards
- π¬ Video Demo: YouTube β Awakened Ethics Demo β see baseline vs ADS in action
Intended Uses
- Evaluation: Test retrieval quality on philosophical content
- Prompt Engineering: Inject classical wisdom into LLM prompts
- Fine-tuning: Ethics-aware model training
- Demos: Show structured wisdom extraction capabilities
Schema
Each row contains:
| Field | Description |
|---|---|
wisdom_id |
Unique identifier |
pack_id |
Source pack (ethics_gutenberg) |
core_insight |
The extracted wisdom |
context |
Background/situation |
evidence |
Supporting quotes from source |
posterior |
Extraction confidence (0.0-1.0) |
warmth |
Human-relevance (high/medium/low) |
source_uri |
Link to original text |
lineage |
Extraction provenance |
Data Source
Curated from public-domain texts via Project Gutenberg. This is NOT scraped web data β it's extracted wisdom from humanity's best philosophical writing.
License
Data: CC BY-SA 4.0
Code: MIT
About Awakened Intelligence
We build cathedral-grade AI training data. Every node is extracted with the same care a master craftsman puts into foundation stones.
"Measure twice, cut once."
Generated from Iron Bank v1.1.0 on 2025-12-27
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