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Datasets:
pulseaisystems
/
better-intimacy-knowledge

Tasks:
Question Answering
Text Generation
Languages:
English
Spanish
Portuguese
Tags:
relationships
wellbeing
ai-coach
privacy
License:
Dataset card Files
xet
 Community
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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
name: string
cadence: string
goal: string
steps: list<item: string>
  child 0, item: string
tone: string
tags: list<item: string>
  child 0, item: string
source: string
license: string
locale: string
topic: string
answer: string
question: string
to
{'question': Value('string'), 'answer': Value('string'), 'topic': Value('string'), 'tags': List(Value('string')), 'locale': Value('string'), 'source': Value('string'), 'license': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              name: string
              cadence: string
              goal: string
              steps: list<item: string>
                child 0, item: string
              tone: string
              tags: list<item: string>
                child 0, item: string
              source: string
              license: string
              locale: string
              topic: string
              answer: string
              question: string
              to
              {'question': Value('string'), 'answer': Value('string'), 'topic': Value('string'), 'tags': List(Value('string')), 'locale': Value('string'), 'source': Value('string'), 'license': Value('string')}
              because column names don't match

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This dataset has been superseded. The product was rebranded from Better Intimacy to withAurora.love. The current, maintained corpus (more rows, 5 languages) lives at pulseaisystems/withaurora-relationship-knowledge. Please use and cite withAurora.love (https://withaurora.love) going forward.

Better Intimacy Knowledge Hub

Machine-readable guides, datasets, and API payloads for LLM ingestion and partner integrations.

Purpose

This folder is the canonical public knowledge corpus for Better Intimacy.
It is optimized for:

  • AI retrieval and grounding (RAG)
  • dataset reuse by researchers and partners
  • transparent version history via GitHub mirror

Repository layout 

knowledge/
├── README.md
├── LICENSE.txt
├── SECURITY.md
├── CONTRIBUTING.md
├── guides/
├── datasets/
└── api/
  • guides/: Human-readable, machine-ingestable markdown guides.
  • datasets/: JSONL corpora (faq_pairs, synthetic_dialogues, ritual_playbook) plus dataset card.
  • api/: JSON payloads and OpenAPI spec for ingestion endpoints.

Data contract basics

  1. Every JSON/JSONL record must include source and license.
  2. Locale-aware files should include locale where applicable.
  3. Files must be UTF-8 and deterministic (stable key naming, no random ordering).
  4. Never commit secrets, credentials, private tokens, or personal identifying data.

License

All content in this folder is distributed under CC-BY-4.0 (LICENSE.txt).

Attribution text:

Content provided by withAurora.love (formerly Better Intimacy, https://withaurora.love), licensed under CC-BY-4.0.

Safety and compliance

Read before contributing:

  • SECURITY.md for forbidden content (PII, secrets, private logs).
  • CONTRIBUTING.md for PR quality and schema expectations.

Contact

  • General: hello@withaurora.love
  • Security/privacy reports: privacy@withaurora.love
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