eis-graph-triples / README.md
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metadata
pretty_name: EIS Knowledge Graph Triples
license: other
language:
  - en
tags:
  - knowledge-graph
  - rdf
  - environmental-impact-statements
  - nepa
configs:
  - config_name: triples
    default: true
    data_files: triples.parquet
  - config_name: documents
    data_files: documents.parquet
  - config_name: entities
    data_files: entities.parquet

EIS Knowledge Graph Triples

DRAFT

This project is representative of a "working in the open" ethos. It should not be used for training any machine-learning algorithm. What it should be used for is prototyping a vision of how future students will interact with collections.

RDF triples extracted by Claude from 1,493 OCR'd U.S. Environmental Impact Statements (mostly 1970s-era scans), plus cross-document entity resolution and EIS-to-EIS links.

Facts were extracted automatically and should be treated as leads to verify against the evidence quotes and the source documents.

Files

File Rows Contents
triples.parquet 883,344 One row per quad (subject, predicate, object, named graph)
documents.parquet 1,493 One row per EIS: barcode, label, source URI
entities.parquet 118,096 One row per entity: URI, type, label, alternate labels
graph.trig — The full RDF dataset in TriG format (named graphs)

Named graphs

  • id:graph/doc/<barcode> (547,874 quads) — facts asserted by one EIS. The graph name is the provenance.
  • id:graph/entities (331,527) — rdf:type, rdfs:label and skos:altLabel for every entity.
  • id:graph/doclinks (3,823) — EIS-to-EIS relations, and owl:sameAs links for references that resolve to an EIS in the set.
  • id:graph/ontology (120) — class and property declarations.

triples columns

Column Description
graph Named graph
barcode Source EIS barcode (null outside per-document graphs)
subject, subject_label Subject URI and its label
predicate Predicate URI
object, object_label Object URI or literal value, and its label when it is an entity
object_is_literal True when object is a literal value
evidence Verbatim quotes from the source document supporting the relation

URIs are shortened: eis: = https://example.org/eis/ (vocabulary) and id: = https://example.org/eis/id/ (instances).

Usage

from datasets import load_dataset

triples = load_dataset("aerithnetzer/eis-graph-triples", "triples", split="train")
docs = load_dataset("aerithnetzer/eis-graph-triples", "documents", split="train")
from pyoxigraph import Store, RdfFormat
store = Store()
store.bulk_load(path="graph.trig", format=RdfFormat.TRIG)