Upload README.md

README.md

@@ -0,0 +1,77 @@
+---
+license: openrail
+language:
+- is
+tags:
+- bias-detection
+- icelandic
+- ner
+- socially-responsible-ai
+- prejudice-detection
+- huggingface
+- dataset
+---
+
+# Icelandic Bias-Aware NER Dataset
+
+**Trigger warning:** This dataset contains biased, offensive, or harmful language. Examples are included solely for research purposes.
+
+## Dataset Description
+
+This dataset contains Icelandic sentences annotated for biased and potentially harmful expressions across 14 categories. It was developed to support research in fairness-oriented NLP, especially for low-resource languages.
+
+### Classes
+- **B-ADDICTION, I-ADDICTION**
+- **B-DISABILITY, I-DISABILITY**
+- **B-ORIGIN, I-ORIGIN**
+- **B-GENERAL, I-GENERAL**
+- **B-LGBTQIA, I-LGBTQIA**
+- **B-LOOKS, I-LOOKS**
+- **B-PERSONAL, I-PERSONAL**
+- **B-PROFANITY, I-PROFANITY**
+- **B-RELIGION, I-RELIGION**
+- **B-SEXUAL, I-SEXUAL**
+- **B-SOCIAL_STATUS, I-SOCIAL_STATUS**
+- **B-STUPIDITY, I-STUPIDITY**
+- **B-VULGAR, I-VULGAR**
+- **B-WOMEN, I-WOMEN**
+
+Annotations follow the BIO scheme (e.g., `B-WOMEN`, `I-WOMEN`, `O`).
+
+### Contents
+- **all_balanced.txt**: 184,580 sentence examples created via weak supervision (lemmatized string matching against curated bias lexicon)
+-**dev.txt**: A development dataset sampled from all_balanced.txt. It includes 15,381 sentence examples.
+-**test.txt**: A testing dataset sampled from all_balanced.txt. It includes 15,383 sentence examples. 
+-**train.txt**: A training dataset sampled from all_balanced.txt. It includes 153,816 sentence examples
+-**gold.txt**
+
+**Automatically annotated set**: 15,383 sentences created via weak supervision (lemmatized string matching against curated bias lexicon)
+- **Gold set**: 190 manually reviewed sentence examples from sources not included in the training, testing or development sets.
+
+## Intended Uses & Limitations
+
+### Intended Use
+- Research on bias detection in Icelandic text
+- Training and evaluation of bias-aware NLP models
+- Educational purposes for raising awareness of bias in language
+
+### Limitations
+- Automatically annotated examples may include false positives and false negatives
+- Vocabulary-based matching may miss subtle, euphemistic, or emerging forms of bias
+- Gold set is relatively small
+
+⚠ **Not intended for punitive monitoring or censorship.** Outputs are prompts for reflection, not judgments.
+
+## Ethical Considerations
+
+This dataset is released under the **[BigScience OpenRAIL-D License](https://www.licenses.ai/ai-licenses)**, which allows free use with responsible-use restrictions.  
+Prohibited uses include:
+- Harassment or discrimination
+- Generating disinformation or hateful content
+- Surveillance targeting individuals or groups
+
+The dataset includes harmful language and should be handled with care. Trigger warnings are recommended for any public deployment.
+
+## Citation
+
+Will be added.