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Datasets:
PlanetCrash
/
Tek-Te-Fu

Tasks:
Text Generation
Question Answering
Image-to-Text
Modalities:
Image
Languages:
English
Chinese
Hebrew
Size:
1M<n<10M
Tags:
mathematics
mathematical-physics
geometry
complex-analysis
riemann-hypothesis
logic
DOI:
License:
Dataset card Data Studio Files
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
split: string
group: string
image: string
image_origin: string
computed_render: bool
transcription_by: string
chapter: int64
part: string
chapter_title: string
notebook: string
cell: int64
page: int64
source_file: string
source_line: int64
prompt: string
answer: string
messages: null
to
{'messages': List({'role': Value('string'), 'content': Json(decode=True)})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              split: string
              group: string
              image: string
              image_origin: string
              computed_render: bool
              transcription_by: string
              chapter: int64
              part: string
              chapter_title: string
              notebook: string
              cell: int64
              page: int64
              source_file: string
              source_line: int64
              prompt: string
              answer: string
              messages: null
              to
              {'messages': List({'role': Value('string'), 'content': Json(decode=True)})}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

messages
list
[ { "role": "user", "content": [ { "type": "text", "text": "This image is placed at line 422 of the LaTeX source (papers/Point_Set_Topology/main.tex) of Articutechnica: The Journey to the Pythagorean Operator, by Parker Emmerson (Yaohushuason): Part II \"Prerequisites\", Chapter 1 \"Topo...
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 451 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 409 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 315 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 784 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 894 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 624 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 851 of the LaTeX sour(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 1033 of the LaTeX sou(...TRUNCATED)
[{"role":"user","content":[{"type":"text","text":"This image is placed at line 3100 of the LaTeX sou(...TRUNCATED)
End of preview.

Tek-Te-Fu

Author: Parker Emmerson (Yaohushuason), Independent Researcher, ORCID 0009-0007-1288-3292, Parkeremmerson@icloud.com

Tek-Te-Fu is a collection of LLM training datasets, one per book, built to one standard: every piece of content in each book's source files is inside the answers of the training examples — prose, headings, formulas, proofs, Mathematica inputs with every output and message, notebook cells with their printed output, the text inside every picture, and every number stored in the books' graphics. Nothing is summarized or paraphrased. Each member has its own card with its full file list, checks and what is left out.

Formats in every member: question-and-answer examples in OpenAI chat, ShareGPT, Alpaca and prompt/completion layouts (the same examples four ways); a pretraining corpus (text, records ≤ ~14,000 characters); vision examples in LLaVA and OpenAI layouts; the stored numbers of the graphics as their own gzip JSON Lines files (chat form and pretraining form), each number written as the shortest decimal that reads back to the same 64-bit value, in Wolfram notation; a deterministic train/validation split; a manifest with the SHA-256 of every file. Answers longer than about 6,000 characters are cut into chained pieces that reassemble exactly.

Totals: 34,333 question-and-answer examples (counted once each) · 5,345 pretraining records · 732,572 chat records and 323,318 pretraining records of stored numbers, carrying 322,671,294 numbers · 7,541 vision examples over 4,931 pictures · 9,188 files, 7.58 GB unzipped (27 archive parts, 5.77 GB zipped).

Members

No. Book Dataset Q&A (train / val) Pretraining Stored-number records (chat / pretraining) Stored numbers Vision Pictures Unzipped License
1 The Cone of Perception, 4th Ed. (Mathematica notebooks + printed edition) The_Cone_of_Perception_LLM_Training_Dataset_rev4 3,576 (3,545 / 31) 101 188,440 / 84,551 72,725,380 1,106 1,057 2,199.9 MB author-controlled
2 The Sphere of Realization, 2nd Ed. The_Sphere_of_Realization_LLM_Training_Dataset_rev5 184 (171 / 13) 102 57,190 / 24,432 26,399,936 35 41 343.8 MB author-controlled
3 The Math of Liberation The_Math_of_Liberation_LLM_Training_Dataset_rev4 286 (267 / 19) 378 77,181 / 32,981 34,974,184 44 63 608.0 MB author-controlled
4 The Scraps of Imagination: A Catalog of Spatio Angular Aberations and Anomalies The_Scraps_of_Imagination_LLM_Training_Dataset_rev3 6,005 (5,704 / 301) 2,461 407,612 / 180,080 187,653,108 3,441 2,073 3,353.4 MB author-controlled
5 Limbertwig (2023) Limbertwig_LLM_Training_Dataset_rev3 659 (626 / 33) 324 191 / 106 64,921 806 444 315.3 MB all rights reserved
6 Chaos & Authaumatronics: Analogous Semiotic Notations for Topology, Game Theory and Chaos Theory Chaos_and_Authaumatronics_LLM_Training_Dataset_rev1 730 (709 / 21) 216 15 / 7 6,957 98 98 85.6 MB other
7 Sweeping Nets, Saddle Maps, & Complex Analysis (Nov 2024, DOI 10.5281/zenodo.14033400) + Python code collection Sweeping_Nets_Saddle_Maps_LLM_Training_Dataset_rev2 1,245 (1,183 / 62) 141 — — 697 317 129.0 MB author-controlled
11 Articutechnica: The Journey to the Pythagorean Operator (58 papers, 1,217 pp) Articutechnica_LLM_Training_Dataset_rev1 7,482 (7,177 / 305) 440 703 / 355 204,963 183 183 243.1 MB CC BY 4.0
12 The Mirror Calculus: A Presence-Only Mathematical Language (doi:10.5281/zenodo.22002856), with Deprogramming Zero, the Summary V17 and the Rosetta Stone errata The_Mirror_Calculus_LLM_Training_Dataset_rev1 2,160 (2,064 / 96) 93 305 / 305 21,430 307 307 15.7 MB all rights reserved
13 Yeshua Now! Lao said Dao! Chicken Kung Pao! (Mirror, Thunder, Face; 46 works) Yeshua-Now-Lao-Said-Dao-Chicken-Kung-Pao_LLM_Training_Dataset_rev2 1,364 (1,304 / 60) 189 935 / 501 620,415 113 103 38.7 MB other
14 Sponsorship and the Coherence Locus (Books Nine and Ten, Limbertwig 2) + companion programs Sponsorship_and_the_Coherence_Locus_LLM_Training_Dataset_rev2 4,590 (4,361 / 229) 446 — — 703 237 244.8 MB author-controlled
— The Meta Theory of the Riemann Hypothesis (with Ryan J. Buchanan) The_Meta_Theory_of_the_Riemann_Hypothesis_LLM_Training_Dataset_rev2 6,052 (5,771 / 281) 454 — — 8 8 — other

Configuration names

Book Chat Q&A Pretraining Stored numbers (chat)
Cone of Perception sft_openai_chat pretraining plot_numbers_chat
Sphere of Realization, Math of Liberation, Scraps of Imagination sft_openai_chat pretraining plot_data_sft_openai_chat
Limbertwig qa_openai_chat pretrain plot_data_chat
Chaos & Authaumatronics, Articutechnica qa_openai pretraining plot_numbers_chat
Sweeping Nets, Sponsorship and the Coherence Locus sft_openai_chat pretraining —
Mirror Calculus openai_chat pretraining plate_numbers_chat
Yeshua Now! chat pretraining figure_numbers_chat
Meta Theory of the Riemann Hypothesis sft_chat pretraining —

Splits

Chaos & Authaumatronics and Articutechnica hold out whole papers/chapters in validation — train on both splits to see every character. In every other member the training split carries the whole book and validation holds copies asked another way.

Checks

Each member's card reports: answer coverage (every character of the book inside a 24-character run of some answer; 0 left out in every member except Yeshua Now!, where 1,203 of 939,826 letters are at LaTeX-generated reference numbers or the author's location, removed by rule), stored numbers read back bit for bit from the training text, a second independent decoding of the numbers, and every file loading with the Hugging Face datasets library.

Loading 

from datasets import load_dataset
ds = load_dataset("PlanetCrash/The_Cone_of_Perception_LLM_Training_Dataset_rev4", "sft_openai_chat")

Use the configuration names in the table above for the other members. The stored-number files are large; use streaming=True when memory is short.

Citation 

@misc{emmerson_tektefu_2026,
  author = {Emmerson, Parker (Yaohushuason)},
  title  = {Tek-Te-Fu},
  year   = {2026},
  note   = {Independent Researcher, ORCID 0009-0007-1288-3292. https://huggingface.co/datasets/PlanetCrash/Tek-Te-Fu}
}
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