license: apache-2.0
task_categories:
- feature-extraction
- summarization
- text-generation
- text-classification
language:
- en
tags:
- philosophy
- seminars
- TNC
- descriptions
- speculative_realism
pretty_name: tnc-seminars
size_categories:
- n<1K
Paraacademic institution's archived educational activities metadata scraped and packed as a dataset.
Dataset Details
Dataset Description
Scraped titles and summarized descriptions of the "non-members available" data of the Seminars of The New Centre for Research & Practice, took this from our website where i have a status of god of FireStoreStoNe (FSSN). Regarding the latter, should i not scrap the data with an access to the direct descriptions links? 100% Human-made, and not "just" humans, but each of the descriptions is made by Instructor, a person that was responsible for and delivered the materials themselves or curated the sessions for the guest lecturers. In plans only expansion, I want to persevere with transcripts of video sessions, after all, TNC plans training a model of their own. Small? Yes, but academic language quality steps up where quantity fails...!
Sources
Actual Seminars: https://tnc-platform.web.app/archive/
Dataset Card Contact
Curated by: mstyslav MSTYSLAVITY kazakov, Ph.D. (Dialectics & Methodology of Cognition),
Associate Professor (Docent, Department of Philosophy, Ihor Sikorsky Kyiv Polytechnic Institute),
Instructor/Metamoderator (The New Centre for Research & Practice)
https://tnc-platform.web.app/people/?person=mstislav.kazakov
Uses
Direct Use
Downstream tasks include and are not limited to:
*training librarian from archives department-assistent or agent;
*generating syllabuses and other educational metadata generations;
*references for RAG and/or some figures of the leading avantgarde in SoTA thought, including the experimental genres of thought such as theory-fiction;
*few-shot learning (or should i say although-not-as-many-as-one-would-like-them-to-be-it-is-not-so-few-shot?);
*usable for training for analogous cases when you need to create a database for niche or NietzSHe subject, or if you are part of that future which xenofeminists want us to have!
*may be used for references in deep research agent by the virtue of the descriptions sometimes including references to the readings. Caveats: niche topics only!
HINT!
One can also build a benchmark Match the titles with descriptions Intentionally place them out of order!
Dataset Structure
Baroque Titles & 100% human-written Descriptions. Sizes vary, most of them introduce the topics, abstracts of each Seminar's Session, sometimes include Readings.
Curation Rationale
Spreading the high quality non-AI-generated data compiled by the brightest minds of philosophical underground raves and (sometimes) mainstream festivals.
Source Data
It is literally what the name of the dataset says: the descriptions and titles of the Seminars section of Archives of The New Centre for Research & Practice:
https://tnc-platform.web.app/archive/
Data Collection and Processing
I also added the code which was used for automated scraping of the texts, must work with the websites that are built on fs and if you have a godlike status or at least angelic auth-tokens
Source data producers
You will find them here:
https://tnc-platform.web.app/people/
The List of CERTIFICATE PROGRAMS of The New Centre for Research & Practice
https://tnc-platform.web.app/programs/
Bias, Risks, and Limitations
Main limitation is the niche topic and the gated access to the actual content of the seminar, which is a work in progress, an STT-based work with proprietary materials which excludes cloud compute mostly.
Some topics may be felt as offensive for pokvaches, fideists and other persons who believe that ethical categories and qualities exist beyond intersubjectivity, as 'objective qualities'!
DO NOT USE IT IF YOU ARE
Rudolf Carnap or Early Ludwig Wittgenstein; technosolutionist; correlationist;late 'dark enlightened' Nick Land; rusian (:= the Clause No. 426/F-442 "Піди відсмокчи Українського прутня" is applied without exceptions); Pete Thiel's Puppet (UK's See Thiel's Bill a.k.a. "Only Wolfendale is welcome at TNC as Pete...")