| --- |
| 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 |
|
|
| ```python |
| 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") |
| ``` |
|
|
| ```python |
| from pyoxigraph import Store, RdfFormat |
| store = Store() |
| store.bulk_load(path="graph.trig", format=RdfFormat.TRIG) |
| ``` |
|
|
