swedish
Datasets
All datasets matching “swedish”swedish-dynaword
🧨 Swedish Dynaword
Version
0.0.13 (Changelog)
Language
Swedish (sv, swe)
License
Openly Licensed, See the respective dataset
Models
Currently there is no models trained on this dataset
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 547.06M
Number of tokens (Llama 3): 36.34B
Average document length in tokens (min, max): 66.42 (2, 8.14M)
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/swedish-dynaword.Swedish_Work_environment_Authority
[!NOTE]
Dataset origin: https://portulanclarin.net/repository/browse/parallel-texts-from-swedish-work-environment-authority-processed/7404236aa58b11eaae0e02420a000403bd13d9138a904f33980bd63233eb90bc/
Description
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu.
Parallel texts from the Swedish… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Swedish_Work_environment_Authority.swedish-legal-decisions-raw-v1
Swedish Court Decisions — Svenska Domstolsavgöranden
55,096 court decisions spanning 45 years of Swedish case law, purpose-built for LLM training.
The most comprehensive open dataset of Swedish appellate court decisions available for AI development. Sourced directly from the official Swedish Courts case law database via their public REST API and preprocessed into three ready-to-use training configurations.
Why This Dataset
Scale and depth: 55,096 decisions covering… See the full description on the dataset page: https://huggingface.co/datasets/nexoneAB/swedish-legal-decisions-raw-v1.SwedishSentimentClassification
SwedishSentimentClassification
An MTEB dataset
Massive Text Embedding Benchmark
Dataset of Swedish reviews scarped from various public available websites
Task category
t2c
Domains
Reviews, Written
Reference
https://huggingface.co/datasets/swedish_reviews
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["SwedishSentimentClassification"])
evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/SwedishSentimentClassification.flan-swedishid2223_whisper_swedish_augmented
Dataset Card for "id2223_whisper_swedish_augmented"
More Information needed