Create README.md

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-classification
+- token-classification
+language:
+- en
+tags:
+- Science
+- glossary
+- glossaries
+- terms
+- recognition
+pretty_name: Science terms and phrases glossary
+size_categories:
+- 10K<n<100K
+---
+
+# Dataset Card for Dataset Name
+Science terms and phrases glossary
+
+## Dataset Details
+Contains terms and phrases for many subject of science glossaries.
+
+### Dataset Description
+This dataset was gathered by web scraping terms from sources like Wikipedia, NASA, and other scientific references. Some terms were also generated using ChatGPT-4.0.
+
+The dataset is designed for token classification, meaning it contains both scientific and non-scientific words (e.g., common words like "or," "and", and food and animals names).
+
+I trained a classification model on this dataset and found that it has a bias toward recognizing entitie's names as scientific terms. Therefore, for classification, it is recommended to use spaCy's entity recognition, such as:
+"spacy.load("en_core_web_sm")"
+
+
+
+## Dataset Creation 
+Gathered by web scraping terms from sources like Wikipedia, NASA, and other scientific references. Some terms were also generated using ChatGPT-4.0.
+
+### Curation Rationale
+Simplify Science papers
+
+
+
+## Dataset Card Contact
+
+For more information you can contact me via email: jonatco1@sce.ac.il