Datasets:
| license: mit | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - text-classification | |
| - sentiment-analysis | |
| - amazon | |
| - reviews | |
| - nlp | |
| - data-centric-ai | |
| # Amazon Reviews Dataset | |
| This dataset contains Amazon product reviews with binary sentiment labels (positive, negative) for text classification tasks. | |
| ## Dataset Description | |
| The dataset includes: | |
| - `train.csv` - Training set, 5000 samples | |
| - `test.csv` - Test set, 1000 samples | |
| ## Usage | |
| ```python | |
| import pandas as pd | |
| from huggingface_hub import hf_hub_download | |
| # Download the training set | |
| file_path = hf_hub_download( | |
| repo_id="Cleanlab/amazon-reviews", | |
| filename="train.csv", | |
| repo_type="dataset" | |
| ) | |
| df = pd.read_csv(file_path) | |
| print(df.head()) | |
| ``` | |
| ## License | |
| MIT License | |