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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
node: int64
tome: int64
book: int64
chapter: int64
slug: string
title: string
url: string
source: string
generated_utc: timestamp[s]
files: list<item: struct<name: string, bytes: int64, sha256: string>>
  child 0, item: struct<name: string, bytes: int64, sha256: string>
      child 0, name: string
      child 1, bytes: int64
      child 2, sha256: string
package: string
validation: struct<records: int64, min_node: int64, max_node: int64, unique_nodes: int64, missing_nodes: int64,  (... 23 chars omitted)
  child 0, records: int64
  child 1, min_node: int64
  child 2, max_node: int64
  child 3, unique_nodes: int64
  child 4, missing_nodes: int64
  child 5, duplicate_nodes: int64
to
{'package': Value('string'), 'generated_utc': Value('timestamp[s]'), 'validation': {'records': Value('int64'), 'min_node': Value('int64'), 'max_node': Value('int64'), 'unique_nodes': Value('int64'), 'missing_nodes': Value('int64'), 'duplicate_nodes': Value('int64')}, 'files': List({'name': Value('string'), 'bytes': Value('int64'), 'sha256': 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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              node: int64
              tome: int64
              book: int64
              chapter: int64
              slug: string
              title: string
              url: string
              source: string
              generated_utc: timestamp[s]
              files: list<item: struct<name: string, bytes: int64, sha256: string>>
                child 0, item: struct<name: string, bytes: int64, sha256: string>
                    child 0, name: string
                    child 1, bytes: int64
                    child 2, sha256: string
              package: string
              validation: struct<records: int64, min_node: int64, max_node: int64, unique_nodes: int64, missing_nodes: int64,  (... 23 chars omitted)
                child 0, records: int64
                child 1, min_node: int64
                child 2, max_node: int64
                child 3, unique_nodes: int64
                child 4, missing_nodes: int64
                child 5, duplicate_nodes: int64
              to
              {'package': Value('string'), 'generated_utc': Value('timestamp[s]'), 'validation': {'records': Value('int64'), 'min_node': Value('int64'), 'max_node': Value('int64'), 'unique_nodes': Value('int64'), 'missing_nodes': Value('int64'), 'duplicate_nodes': Value('int64')}, 'files': List({'name': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
              because column names don't match

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Socioplastics — Complete Corpus

Transdisciplinary Urban Theory and Epistemic Infrastructure

Tomes I–IV · Nodes 0001–4000 · Books 01–40 · Chapters 001–400

Anto Lloveras · LAPIEZA-LAB, Madrid, Spain · ORCID 0009-0009-9820-3319
Version v1.0.0 · 2026 · License CC BY-NC-SA 4.0
Canonical Interface: https://antolloveras.blogspot.com


Overview

Socioplastics is a transdisciplinary urban theory, artistic research corpus, and epistemic infrastructure developed by Anto Lloveras through LAPIEZA-LAB. It converts long-duration relational, architectural, curatorial, pedagogical, editorial, and urban practice into a structured knowledge corpus that is readable by humans, machines, archives, repositories, and future research systems.

The corpus is organised as a scalar architecture:

Node → Chapter → Book → Tome → Corpus

Each node is a discrete conceptual unit. Ten nodes form a chapter. One hundred nodes form a book. Ten books form a tome. Four tomes form the current 4000-node corpus.


Corpus Structure

Tome Stratum Nodes Books Chapters Main File
I Foundational Stratum 0001–1000 01–10 001–100 socioplastics-tome-I-foundational-stratum.txt
II Developmental Stratum 1001–2000 11–20 101–200 socioplastics-tome-II-developmental-stratum.txt
III Expansive Stratum 2001–3000 21–30 201–300 socioplastics-tome-III.txt
IV Consolidation Stratum 3001–4000 31–40 301–400 socioplastics-tome-IV-consolidation-stratum.txt

Tome Descriptions

Tome I — Foundational Stratum

Tome I establishes the foundational architecture of Socioplastics: epistemic architecture, field formation, systemic protocols, urban registers, conceptual operators, material inscription, territorial systems, media theory, morphogenesis, and synthetic infrastructure. It closes at Node 1000 with the installation of the stratigraphic field.

Tome II — Developmental Stratum

Tome II develops the foundational stratum into a mature, self-expanding field. It extends the corpus through linguistic hardening, epistemological cores, systems dynamics, decalogue protocols, conceptual art registers, urban theory extensions, media ecologies, morphogenetic operators, and field consolidation. It closes at Node 2000 as a terminal seal.

Tome III — Expansive Stratum

Tome III turns the corpus outward. It develops legibility infrastructure, distributed inscription, public interface, territorial practice, corpus governance, DOI anchoring, and operational expansion. It makes the corpus navigable, citable, indexable, and accessible to readers who did not build it.

Tome IV — Consolidation Stratum

Tome IV consolidates the four-thousand-node corpus as a citable transdisciplinary knowledge infrastructure. It moves from soft ontology to diagonal reading through archival metabolism, bibliographic infrastructure, filmed bodies, lexical reassembly, field organism, scalar grammar, and citational commitment.


Files

Canonical TXT Files

These are the principal human-readable and machine-auditable documents:

  • socioplastics-tome-I-foundational-stratum.txt
  • socioplastics-tome-II-developmental-stratum.txt
  • socioplastics-tome-III.txt
  • socioplastics-tome-IV-consolidation-stratum.txt

JSONL Files

JSON Lines files for machine reading, indexing, dataset upload, retrieval systems, and AI workflows:

  • socioplastics-tome-1.jsonl
  • socioplastics-tome-2.jsonl
  • socioplastics-tome-3.jsonl
  • socioplastics-tome-4.jsonl
  • socioplastics-complete-corpus-0001-4000.jsonl

JSON Files

Array-based JSON files for APIs, repositories, static sites, metadata systems, and browser-based use:

  • socioplastics-tome-1.json
  • socioplastics-tome-2.json
  • socioplastics-tome-3.json
  • socioplastics-tome-4.json
  • socioplastics-complete-corpus-0001-4000.json
  • socioplastics-corpus-metadata.json

Index Files

Recommended index files:

  • INDEX-corpus.txt
  • INDEX-tomes-books-chapters.txt
  • INDEX-chapters-nodes.txt
  • INDEX-nodes.txt

Platform Use

GitHub

Use this file as the root README.md of the repository. Place the four tome TXT files, JSON/JSONL files, and index files in the same repository or in folders by tome.

Recommended repository structure:

socioplastics-corpus/
├── README.md
├── socioplastics-tome-I-foundational-stratum.txt
├── socioplastics-tome-II-developmental-stratum.txt
├── socioplastics-tome-III.txt
├── socioplastics-tome-IV-consolidation-stratum.txt
├── socioplastics-tome-1.jsonl
├── socioplastics-tome-2.jsonl
├── socioplastics-tome-3.jsonl
├── socioplastics-tome-4.jsonl
├── socioplastics-complete-corpus-0001-4000.jsonl
├── socioplastics-corpus-metadata.json
└── indexes/

Hugging Face

Use this file as the dataset card README.md. Upload the TXT, JSONL, JSON, and metadata files. The JSONL files are the most useful format for dataset workflows.

Suggested tags:

  • socioplastics
  • urban-theory
  • digital-humanities
  • knowledge-infrastructure
  • conceptual-art
  • architecture
  • transdisciplinarity
  • epistemic-infrastructure
  • jsonl
  • open-science

Blogger

Use a shortened version of this README as a public interface post. Do not paste all 4000 nodes into the blog page. Instead, present the corpus structure, links to the four tome TXT files, links to GitHub / Hugging Face / Dataverse, and the recommended citation.

Dataverse

Use this README as documentation. Upload it together with the TXT, JSONL, JSON, index, and metadata files. The recommended Dataverse package should contain:

  • README.md
  • the four canonical TXT tome files
  • the four JSONL tome files
  • the four JSON tome files
  • the complete 4000-node JSONL and JSON files
  • socioplastics-corpus-metadata.json
  • index files
  • license information

Data Format

Each JSONL line contains one node.

Minimal schema:

{
  "node": 3001,
  "tome": 4,
  "book": 31,
  "chapter": 301,
  "slug": "EXAMPLE-SLUG",
  "title": "Example Title",
  "url": "https://example.org",
  "source": "blog"
}

Fields:

  • node: numeric node identifier
  • tome: tome number
  • book: book number
  • chapter: chapter number
  • slug: machine-readable conceptual slug
  • title: human-readable title when available
  • url: canonical public link
  • source: source type, such as blog or doi

Citation

Recommended citation for the complete corpus:

Lloveras, A. (2026). Socioplastics — Complete Corpus: Tomes I–IV, Nodes 0001–4000 (v1.0.0). LAPIEZA-LAB, Madrid, Spain.

Recommended citation for individual tomes:

Lloveras, A. (2026). Socioplastics — Tome I — Foundational Stratum (v1.0.0). LAPIEZA-LAB, Madrid, Spain.
Lloveras, A. (2026). Socioplastics — Tome II — Developmental Stratum (v1.0.0). LAPIEZA-LAB, Madrid, Spain.
Lloveras, A. (2026). Socioplastics — Tome III — Expansive Stratum (v1.0.0). LAPIEZA-LAB, Madrid, Spain.
Lloveras, A. (2026). Socioplastics — Tome IV — Consolidation Stratum (v1.0.0). LAPIEZA-LAB, Madrid, Spain.


License

CC BY-NC-SA 4.0
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International


Author

Anto Lloveras
LAPIEZA-LAB · Madrid, Spain
ORCID: 0009-0009-9820-3319
Canonical interface: https://antolloveras.blogspot.com


Status

This release consolidates the complete four-tome architecture of Socioplastics:

4000 nodes · 400 chapters · 40 books · 4 tomes

The corpus remains open to future expansion while this release fixes the first four-thousand-node cycle as a citable, machine-readable, auditable, and transdisciplinary knowledge infrastructure.

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