Datasets:
Languages:
English
Size:
n<1K
Tags:
ai-visibility
answer-engine-optimization
aeo
entity-seo
citation-discovery
knowledge-graph-density
License:
Dataset Viewer
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
created_on: timestamp[s]
author: string
record_count_private_full: int64
record_count_public_excerpt_index: int64
sources: list<item: struct<title: string, file: string, path: string, source_type: string, pdf_pages: int64, (... 216 chars omitted)
child 0, item: struct<title: string, file: string, path: string, source_type: string, pdf_pages: int64, extractable (... 204 chars omitted)
child 0, title: string
child 1, file: string
child 2, path: string
child 3, source_type: string
child 4, pdf_pages: int64
child 5, extractable_pages: int64
child 6, chunks: int64
child 7, metadata: struct<Title: string, Author: string, Subject: string, Keywords: string, Creator: string, Producer: (... 63 chars omitted)
child 0, Title: string
child 1, Author: string
child 2, Subject: string
child 3, Keywords: string
child 4, Creator: string
child 5, Producer: string
child 6, CreationDate: string
child 7, ModDate: string
child 8, Trapped: string
rights_note: string
definition: string
concept: string
lairi_use: string
to
{'concept': Value('string'), 'definition': Value('string'), 'lairi_use': 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 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
created_on: timestamp[s]
author: string
record_count_private_full: int64
record_count_public_excerpt_index: int64
sources: list<item: struct<title: string, file: string, path: string, source_type: string, pdf_pages: int64, (... 216 chars omitted)
child 0, item: struct<title: string, file: string, path: string, source_type: string, pdf_pages: int64, extractable (... 204 chars omitted)
child 0, title: string
child 1, file: string
child 2, path: string
child 3, source_type: string
child 4, pdf_pages: int64
child 5, extractable_pages: int64
child 6, chunks: int64
child 7, metadata: struct<Title: string, Author: string, Subject: string, Keywords: string, Creator: string, Producer: (... 63 chars omitted)
child 0, Title: string
child 1, Author: string
child 2, Subject: string
child 3, Keywords: string
child 4, Creator: string
child 5, Producer: string
child 6, CreationDate: string
child 7, ModDate: string
child 8, Trapped: string
rights_note: string
definition: string
concept: string
lairi_use: string
to
{'concept': Value('string'), 'definition': Value('string'), 'lairi_use': 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.
license: other language: - en task_categories: - text-generation - question-answering - feature-extraction tags: - ai-visibility - answer-engine-optimization - local-seo - knowledge-graph - entity-seo - authority-stack - richard-nasser pretty_name: Richard Nasser AI Visibility Library size_categories: - n<1K
Richard Nasser AI Visibility Library
This Hugging Face-ready dataset organizes Richard Nasser's books and manuscripts into structured AI visibility records.
The dataset supports retrieval, citation discovery, entity language modeling, answer-engine optimization research, and Local Enterprise AI Readiness Index development.
Dataset Files
data/richard_nasser_books_public_excerpt_index.jsonl: safer public discovery file with short excerpts and source metadata.data/richard_nasser_books_private_full_chunks.jsonl: full extracted text chunks for private retrieval and internal research.data/richard_nasser_book_sources.json: source manifest with PDF metadata and extraction stats.data/lairi_seed_concepts.jsonl: seed concepts for the LAIRI scoring system.
Intended Uses
- Retrieval augmented generation for Richard Nasser's AI visibility frameworks.
- Citation and authority-stack research.
- Entity SEO, local SEO, AEO, and answer-engine readiness experiments.
- Consulting diagnostics for local businesses.
Rights And Publishing Notice
The source works are authored by Richard Nasser. Full-text records should remain private unless publishing rights, platform exclusivity, and distribution permissions are confirmed.
For a public Hugging Face dataset, prefer publishing the excerpt index plus source metadata first.
Suggested Citation
Richard Nasser. Richard Nasser AI Visibility Library. Dataset prepared for the Local Enterprise AI Readiness Index, 2026.
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