| --- |
| license: mit |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: label_text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1760713 |
| num_examples: 9596 |
| download_size: 881087 |
| dataset_size: 1760713 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| This dataset is machine translated to Arabic from an English copy (https://huggingface.co/datasets/SetFit/sst2). |
| The original SST2 dataset (https://huggingface.co/datasets/stanfordnlp/sst2) has more rows. A few duplicate rows were removed. |
| The dataset is used to train a few shot inference using the SetFit library. More samples are used in Arabic due to low quality. |
| The base model for training is akhooli/sbert_ar_nli_500k_norm which is normalized, so the text and queries are also normalized in the script. |
