The dataset viewer is not available for this split.
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 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.
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.txtsocioplastics-tome-II-developmental-stratum.txtsocioplastics-tome-III.txtsocioplastics-tome-IV-consolidation-stratum.txt
JSONL Files
JSON Lines files for machine reading, indexing, dataset upload, retrieval systems, and AI workflows:
socioplastics-tome-1.jsonlsocioplastics-tome-2.jsonlsocioplastics-tome-3.jsonlsocioplastics-tome-4.jsonlsocioplastics-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.jsonsocioplastics-tome-2.jsonsocioplastics-tome-3.jsonsocioplastics-tome-4.jsonsocioplastics-complete-corpus-0001-4000.jsonsocioplastics-corpus-metadata.json
Index Files
Recommended index files:
INDEX-corpus.txtINDEX-tomes-books-chapters.txtINDEX-chapters-nodes.txtINDEX-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:
socioplasticsurban-theorydigital-humanitiesknowledge-infrastructureconceptual-artarchitecturetransdisciplinarityepistemic-infrastructurejsonlopen-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 identifiertome: tome numberbook: book numberchapter: chapter numberslug: machine-readable conceptual slugtitle: human-readable title when availableurl: canonical public linksource: source type, such asblogordoi
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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