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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:labelandskos:altLabelfor every entity.id:graph/doclinks(3,823) — EIS-to-EIS relations, andowl:sameAslinks 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)