All datasets / mteb

mteb/NorwegianParliamentClassification

94 downloads in 30 days0 likesLast modified 7 May 2025View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 3047317
Licence files: No licence file at the top level of the repositoryEvidence: file list at 3047317
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-classification

Citation text from the card

@inproceedings{kummervold-etal-2021-operationalizing,
  abstract = {In this work, we show the process of building a large-scale training set from digital and digitized collections at a national library. The resulting Bidirectional Encoder Representations from Transformers (BERT)-based language model for Norwegian outperforms multilingual BERT (mBERT) models in several token and sequence classification tasks for both Norwegian Bokm{\aa}l and Norwegian Nynorsk. Our model also improves the mBERT performance for other languages present in the corpus such as English, Swedish, and Danish. For languages not included in the corpus, the weights degrade moderately while keeping strong multilingual properties. Therefore, we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
  address = {Reykjavik, Iceland (Online)},
  author = {Kummervold, Per E  and
De la Rosa, Javier  and
Wetjen, Freddy  and
Brygfjeld, Svein Arne},
  booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)},
  editor = {Dobnik, Simon  and
{\O}vrelid, Lilja},
  month = may # { 31--2 } # jun,
  pages = {20--29},
  publisher = {Link{\"o}ping University Electronic Press, Sweden},
  title = {Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model},
  url = {https://aclanthology.org/2021.nod

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "mteb/NorwegianParliamentClassification" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0