{"url":"/dataset/absabank-imm","name":"Absabank-Imm","full_name":null,"description_markdown":"The **Swedish ABSAbank-Imm 1.1** is an annotated corpus designed for **aspect-based sentiment analysis** related to immigration in Sweden. Let's delve into the details:\r\n\r\n1. **Title and Subtitle**:\r\n   - **Title**: Swedish ABSAbank-Imm v1.1\r\n   - **Subtitle**: An annotated Swedish corpus for aspect-based sentiment analysis (a version of Absabank)\r\n\r\n2. **Creation and Purpose**:\r\n   - **Created by**: Aleksandrs Berdicevskis\r\n   - **Purpose**: To analyze sentiments expressed toward immigration in Sweden.\r\n   - **Description**: The dataset is a subset of the original **Swedish ABSAbank**, specifically tailored for aspect-based sentiment analysis related to immigration. In this subset, paragraphs are manually labeled with sentiment scores on a scale from 1 (very negative) to 5 (very positive).\r\n\r\n3. **Dataset Details**:\r\n   - **Size**: It contains **4872 short texts (paragraphs)**.\r\n   - **Language**: Swedish\r\n   - **Tokens**: Approximately **199,000 tokens**.\r\n   - **Content**: The original ABSAbank had two layers of annotation: token-level and text-level. In ABSAbank-Imm, only the paragraph-level annotation is preserved. Annotators labeled paragraphs related to immigration with sentiment values.\r\n\r\n4. **Usage**:\r\n   - **Applications**: Machine Learning, Aspect-based Sentiment Analysis, Stance classification, Evaluation of language models.\r\n   - **Intended Task**: Given a text or paragraph, label the sentiment expressed toward immigration in Sweden.\r\n   - **Recommended Evaluation Measures**: Krippendorff's alpha (official SuperLim measure), Spearman's rho, or other correlation coefficients.\r\n   - **Recommended Split**: Consecutive split into train, dev, and test sets.\r\n\r\n5. **Citation and Related Datasets**:\r\n   - **Cite as**: Consider citing ¹.\r\n   - **Related Datasets**: Part of the SuperLim collection (derived from ABSAbank) ¹.\r\n\r\n(1) Svensk ABSAbank-Imm 1.1 | Språkbanken Text - Göteborgs universitet. https://spraakbanken.gu.se/resurser/absabank-imm.\r\n(2) ScandEval/absabank-imm-mini · Datasets at Hugging Face. https://huggingface.co/datasets/ScandEval/absabank-imm-mini.\r\n(3) ScandEval/absabank-imm-mini at main - Hugging Face. https://huggingface.co/datasets/ScandEval/absabank-imm-mini/tree/main.\r\n(4) undefined. https://spraakbanken.gu.se/en/resources/superlim.\r\n(5) undefined. https://spraakbanken.gu.se/en/resources/swe-absa-bank.","description_withheld":null,"homepage":"https://spraakbanken.gu.se/resurser/absabank-imm","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Absabank-Imm"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}