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concept
stringclasses
3 values
n_texts
int64
1.09k
4.85k
embedding_dim
int64
768
768
model
stringclasses
1 value
created_at
timestamp[s]date
2026-05-10 09:45:13
2026-05-10 09:50:09
columns
listlengths
11
11
preview_rows
listlengths
5
5
evolution
1,085
768
paraphrase-multilingual-mpnet-base-v2
2026-05-10T09:50:09
[ "search_term", "match_term", "text_excerpt", "excerpt_length", "file", "state", "school_type", "grade", "year", "subject", "search_term_lower" ]
[ { "search_term": "Evolution", "match_term": "Evolution", "text_excerpt": "Gottesvorstellungen in polytheistischen und monotheistischen Religionen heraus. altägyptische, griechische, römische, germanische Gottheiten, Jahwe, Gott, Allah Göttergeschichten z. B. ägyptische, griechische, indische Mythologien...
mensch
4,852
768
paraphrase-multilingual-mpnet-base-v2
2026-05-10T09:45:13
[ "search_term", "match_term", "text_excerpt", "excerpt_length", "file", "state", "school_type", "grade", "year", "subject", "search_term_lower" ]
[ { "search_term": "Mensch", "match_term": "Mensch", "text_excerpt": "der Umsetzung eines toleranten und respektvollen Umgangs miteinander, beurteilen Herausforderungen des Zusammenlebens in einer komplexen und globalen Welt mit vielfältigen kulturellen Ausprägungen und Werten. Inhaltsfeld : Verantwortung...
verhalten
1,155
768
paraphrase-multilingual-mpnet-base-v2
2026-05-10T09:47:44
[ "search_term", "match_term", "text_excerpt", "excerpt_length", "file", "state", "school_type", "grade", "year", "subject", "search_term_lower" ]
[ { "search_term": "Verhalten", "match_term": "Verhalten", "text_excerpt": "- Gerechtigkeit Sachkompetenz Die Schülerinnen und Schüler erläutern die Bedeutsamkeit von Gerechtigkeit für soziales Leben, formulieren Regeln für ein gerechtes Miteinander, erläutern unterschiedliche Prinzipien von Gerechtigkeit...

German Curriculum Concept Embeddings

Sentence embeddings for three focus concepts from the German school curriculum analysis project.

Model: paraphrase-multilingual-mpnet-base-v2
Generated: 2026-05-10T09:50:17

Structure

concept/
  embeddings.npy          # float32 (N, 768) L2-normalised
  metadata.parquet        # one row per excerpt, all CSV columns
  metadata_preview.json   # schema + first 5 rows

Concepts

mensch — 4,852 excerpts · dim=768

verhalten — 1,155 excerpts · dim=768

evolution — 1,085 excerpts · dim=768

Usage

import numpy as np
import pandas as pd
from huggingface_hub import hf_hub_download

concept = 'evolution'

emb_path  = hf_hub_download(
    repo_id="deirdosh/curriculum_embeddings",
    repo_type="dataset",
    filename=f"{concept}/embeddings.npy")

meta_path = hf_hub_download(
    repo_id="deirdosh/curriculum_embeddings",
    repo_type="dataset",
    filename=f"{concept}/metadata.parquet")

embs = np.load(emb_path)          # (N, 768)
meta = pd.read_parquet(meta_path)  # N rows

Source

Generated by the Concept Atlas Space.

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