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Ailee52/PatentSBERTa-green-dataset

PatentSBERTa Green Dataset Model Used: Ailee52/PatentSBERTa_finetuned_green This dataset is used for fine-tuning PatentSBERTa for green technology classification. Files patent_50k_green.parquetBalanced 50,000 patent claims (25k green / 25k non-green), labeled using CPC Y02 silver labeling. gold_100_labeled.csv100 samples manually reviewed using Human-in-the-Loop (HITL). Label Description 1 = Green technology 0 = Not green… See the full description on the dataset page: https://huggingface.co/datasets/Ailee52/PatentSBERTa-green-dataset.

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Dataset Card

PatentSBERTa Green Dataset

Model Used: Ailee52/PatentSBERTafinetunedgreen

This dataset is used for fine-tuning PatentSBERTa for green technology classification.

Files

  • —patent50kgreen.parquet Balanced 50,000 patent claims (25k green / 25k non-green), labeled using CPC Y02 silver labeling.
  • —gold100labeled.csv 100 samples manually reviewed using Human-in-the-Loop (HITL).

Label Description

  • —1 = Green technology
  • —0 = Not green technology

Silver label: Derived automatically from CPC Y02 codes.

Gold label: Human-reviewed labels overriding LLM suggestions when necessary.


Dataset Splits

  • —train_silver (30,000)
  • —eval_silver (10,000)
  • —pool_unlabeled (10,000)
  • —gold_100 (100 manually reviewed samples)

Human Override Statistics

  • —21 overrides out of 100 samples
  • —Override rate: 21% ---

Disclaimer

This project was developed for academic purposes only. The classification results are intended for research and educational use, and should not be interpreted as legal advice or professional patent evaluation. The Human-in-the-Loop (HITL) annotations were performed by students as part of a coursework assignment and do not represent expert legal judgment. The model may contain biases and errors inherited from both automated labeling (silver labels) and LLM-assisted human review. --- Video Link Assignment Explaination: https://aaudk-my.sharepoint.com/:v:/g/personal/sm42zmstudentaaudk/IQDAqRWONX2jTI9ftsBAgy8PAZvtvTZFe-HeffgDEumxj0