Add Education-to-Career Pathways KG: 1,098 nodes / 1,287 edges from one district's published catalogue
74a9d8d verified |
Download README.md from VaidhyaMegha/edtech-kg: direct link, hf CLI and curl.
- Browser
- Download file 7.08 kB
-
https://huggingface.co/datasets/VaidhyaMegha/edtech-kg/resolve/main/README.md
- Command line
-
hf download hf://datasets/VaidhyaMegha/edtech-kg/README.md
-
curl -L -o README.md https://huggingface.co/datasets/VaidhyaMegha/edtech-kg/resolve/main/README.md
7.08 kB
| license: other | |
| license_name: factual-catalogue-metadata-no-licence-granted | |
| license_link: https://catalog.pwcs.edu/ | |
| language: | |
| - en | |
| tags: | |
| - knowledge-graph | |
| - graph-database | |
| - cypher | |
| - education | |
| - curriculum | |
| - k-12 | |
| - course-catalogue | |
| pretty_name: Education-to-Career Pathways KG (one district) | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: course | |
| data_files: nodes/course.csv | |
| - config_name: requirement | |
| data_files: nodes/requirement.csv | |
| - config_name: subject | |
| data_files: nodes/subject.csv | |
| - config_name: pathway | |
| data_files: nodes/pathway.csv | |
| - config_name: edge_in_subject | |
| data_files: edges/in_subject.csv | |
| - config_name: edge_requires | |
| data_files: edges/requires.csv | |
| - config_name: edge_includes | |
| data_files: edges/includes.csv | |
| - config_name: edge_has_requirement | |
| data_files: edges/has_requirement.csv | |
| # Education-to-Career Pathways Knowledge Graph | |
| **1,098 nodes. 1,287 edges.** One US school district's published high-school course catalogue | |
| as a graph you can walk — which courses exist, what subject they sit in, what each requires, | |
| and which specialty pathways include them. | |
| Built with [Samyama Graph](https://github.com/samyama-ai/samyama-graph). | |
| Loader and ETL: [samyama-ai/edtech-kg](https://github.com/samyama-ai/edtech-kg). | |
| ## Why a graph | |
| A student picks courses four times in high school. The decisions compound, they are close to | |
| irreversible, and they are made with almost no view of what each one leads to. A catalogue is | |
| a list; the thing a student actually needs is the **reachability** question — *if I take this | |
| now, what opens later, and what have I closed off?* That is a traversal, not a lookup. | |
| ```cypher | |
| // What does this course unlock, two steps out? | |
| MATCH (c:Course {name: 'AP Computer Science Principles'})<-[:REQUIRES*1..2]-(later:Course) | |
| RETURN DISTINCT later.name | |
| // Which pathways can still be completed if a prerequisite was missed? | |
| MATCH (p:Pathway)-[:INCLUDES]->(c:Course)-[:REQUIRES]->(pre:Course) | |
| RETURN p.name, count(DISTINCT c) AS courses, collect(DISTINCT pre.name)[..5] AS gates | |
| ORDER BY courses DESC | |
| ``` | |
| ## Source and licence — read this before reuse | |
| | | | | |
| |--|--| | |
| | Source | **[catalog.pwcs.edu](https://catalog.pwcs.edu/)** — Prince William County Schools, Virginia, USA | | |
| | Collected | 2026-08-29, from the district's own published sitemap (960 pages) | | |
| | Licence | **None granted.** See below. | | |
| | Loader code | Apache-2.0, in the GitHub repo. **This does not govern the data.** | | |
| **The district publishes this catalogue for public information; it does not attach an open | |
| licence to it.** This dataset is offered on the following basis, which you should satisfy | |
| yourself with before relying on it: | |
| - The content here is **factual catalogue metadata** — course names, subject names, pathway | |
| names, short prerequisite statements, and source URLs. **No course descriptions, no prose, | |
| no images** are reproduced. Facts about what a public body offers are not themselves | |
| creative expression. | |
| - Collection followed the district's own **published sitemap**, and | |
| [`robots.txt`](https://catalog.pwcs.edu/robots.txt) disallows only administrative paths | |
| (`/admin/`, `/core/`, `/user/*`) — not catalogue content. | |
| - Every node carries its **`url`**, so the district's own page remains the authoritative | |
| record and this dataset points back to it rather than replacing it. | |
| > **This is a weaker licence basis than the other datasets in this organisation**, which rest | |
| > on explicit public-domain or Creative Commons terms. It is stated plainly rather than | |
| > glossed. If you are Prince William County Schools and would like this removed or amended, | |
| > please open an issue on the [GitHub repository](https://github.com/samyama-ai/edtech-kg) and | |
| > it will be actioned. | |
| **Attribution:** | |
| > Course catalogue data from **Prince William County Schools**, | |
| > [catalog.pwcs.edu](https://catalog.pwcs.edu/), collected 2026-08-29. | |
| > The district does not endorse this dataset or any analysis derived from it. | |
| ## Files | |
| Nodes carry an `id`; edges reference those ids as `src` and `tgt`. | |
| ### `nodes/` | |
| | File | Rows | Columns | | |
| |------|-----:|---------| | |
| | `course.csv` | 795 | `id, district, name, source, url` | | |
| | `requirement.csv` | 138 | `id, requirement_id, source, text` | | |
| | `subject.csv` | 127 | `id, district, name, source, url` | | |
| | `pathway.csv` | 38 | `id, district, kind, name, source, url` | | |
| ### `edges/` | |
| | File | Rows | Connects | | |
| |------|-----:|----------| | |
| | `in_subject.csv` | 724 | Course → Subject | | |
| | `requires.csv` | 240 | Course → Course | | |
| | `includes.csv` | 185 | Pathway → Course | | |
| | `has_requirement.csv` | 138 | Course → Requirement | | |
| `REQUIRES` is the edge that makes this a graph rather than a spreadsheet — it is what turns | |
| "which courses exist" into "what can this student still reach". | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| courses = load_dataset("VaidhyaMegha/edtech-kg", "course", revision="v1.0") | |
| ``` | |
| ## Verification | |
| - Totals reconcile against the snapshot header: **1,098 nodes**, **1,287 edges**, and match the | |
| source repository's stated figures exactly. | |
| - The loader verified its own writes back out of the engine: *"verified — every count read | |
| back from the engine"*, 3,698 statements. | |
| - **0 dangling edges.** | |
| - **65 orphan nodes** — 38 `Subject`, 23 `Course`, 4 `Pathway`. These are expected and were | |
| reported by the loader itself: *"71 courses have no published subject page; left unattached | |
| rather than attached to something invented."* Leaving them unlinked is the honest choice. | |
| ## Limitations | |
| - **One district, one point in time.** Prince William County Schools, collected 2026-08-29. | |
| Catalogues change every year. This is not a national dataset and is not current by | |
| construction. | |
| - **Prerequisites are as published, in prose.** `Requirement.text` holds short strings such as | |
| *"Enrolled in Agriculture Specialty Program"*. They are not parsed into machine-checkable | |
| logic, and an unparsed requirement is not the same as no requirement. | |
| - **4 pages publish a pathway course table but load as courses**, so their rows are not written | |
| as `INCLUDES` edges — a known gap tracked as issue #87 in the source repository. | |
| - **17 published rows** place a course in a second section of the same pathway; the graph holds | |
| one edge per pair with the section names joined onto it. | |
| - **No college or career layer.** The upstream repo measures IPEDS, CIP-SOC, BLS and College | |
| Scorecard for the national spine, but none of it is loaded here. The name says | |
| "education-to-career"; this release is the education half only. | |
| - Nothing here is advice about what any student should take. Check the district's own | |
| catalogue and a counsellor. | |
| ## Citation | |
| ``` | |
| Education-to-Career Pathways Knowledge Graph, v1.0 (1,098 nodes, 1,287 edges). | |
| Built with Samyama Graph. https://huggingface.co/datasets/VaidhyaMegha/edtech-kg | |
| ETL: https://github.com/samyama-ai/edtech-kg | |
| Source: Prince William County Schools course catalogue, https://catalog.pwcs.edu/ | |
| Collected: 2026-08-29 | |
| ``` | |