| dataset_info: | |
| features: | |
| - name: sentence1 | |
| dtype: string | |
| - name: sentence2 | |
| dtype: string | |
| - name: score | |
| dtype: float32 | |
| splits: | |
| - name: train | |
| num_examples: 6948 | |
| - name: validation | |
| num_examples: 1985 | |
| - name: test | |
| num_examples: 994 | |
| task_categories: | |
| - text-regression | |
| task_ids: | |
| - semantic-textual-similarity | |
| # Samsoup/sickr-sts | |
| This dataset is derived from **`mteb/sickr-sts`** (SICK-R style semantic textual similarity), | |
| which in MTEB is provided as a single split. This script shuffles that split deterministically | |
| and produces **train / validation / test = 70% / 20% / 10%**. | |
| **Fields** | |
| - `sentence1` — first sentence | |
| - `sentence2` — second sentence | |
| - `score` — similarity / relatedness score (float32) | |
| **Processing** | |
| - Input: single split from `mteb/sickr-sts` | |
| - Shuffle with a fixed seed | |
| - 70/20/10 partition | |
| - Keep only (`sentence1`, `sentence2`, `score`) | |
| **Notes** | |
| - This is meant for *regression* STS training (like STS-B style models) but on the SICK-R data. | |
| - Reproducible: split is deterministic. | |
| _Last updated: 2025-10-31_ | |