Text · dataset · 2022
A standardized suite for evaluation and analysis of Swedish natural language understanding systems.
Listed in Hugging Face Datasets
Dataset Card for Superlim-2 Dataset
Description
Summary
SuperLim 2.0 is a continuation of SuperLim 1.0, which aims for a standardized suite for evaluation and analysis of Swedish natural language understanding systems. The projects is inspired by the GLUE/SuperGLUE projects from which the name is derived: "lim" is the Swedish translation of "glue". Since Superlim 2.0 is a collection of datasets, we refer for information about dataset structure, creation, social impact etc. to… See the full description on the dataset page: huggingface.co/datasets/sbx/superlim-2.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/sbx/superlim-2 ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/sbx/superlim-2 ↗
metadata API · from Hugging Face
Topics
- Stated by source
- multiple choice · question answering · sentence similarity · summarization · tabular · text · text classification · token classification
- From keywords
- Computer Science & AI
- Inferred from text
- Artificial intelligence 70%
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | sbx/superlim-2 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].anzsrc:group:4602 | enrichment · Hugging Face | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:tabular | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[task].hf_task:multiple-choice | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:sentence-similarity | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:summarization | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:text-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:token-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |