| license: mit | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - text-classification | |
| - politeness | |
| - nlp | |
| - active-learning | |
| - fine-tuning | |
| - data-centric-ai | |
| # Stanford Politeness Dataset | |
| This dataset contains politeness classification data based on the Stanford Politeness Corpus for active learning and fine-tuning tasks. | |
| ## Dataset Description | |
| The dataset is organized into two main directories: | |
| ### Active Learning | |
| - `X_labeled_full.csv` - Labeled examples | |
| - `X_unlabeled.csv` - Unlabeled examples for active learning | |
| - `extra_annotations.npy` - Additional annotation data | |
| - `test.csv` - Test set | |
| ### Fine-tuning | |
| - `train.csv` - Training set | |
| - `train_fixed.csv` - Fixed training set | |
| - `train_full.csv` - Full training set | |
| - `test.csv` - Test set | |
| ## Usage | |
| ```python | |
| import pandas as pd | |
| from huggingface_hub import hf_hub_download | |
| # Download a specific file | |
| file_path = hf_hub_download( | |
| repo_id="Cleanlab/stanford-politeness", | |
| filename="fine-tuning/train.csv", | |
| repo_type="dataset" | |
| ) | |
| df = pd.read_csv(file_path) | |
| print(df.head()) | |
| ``` | |
| ## License | |
| MIT License | |