Add dataset card for Samsoup/sickr-sts

README.md

@@ -9,23 +9,36 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 724125
     num_examples: 6948
   - name: validation
-    num_bytes: 206300
     num_examples: 1985
   - name: test
-    num_bytes: 104316
     num_examples: 994
-  download_size: 389679
-  dataset_size: 1034741
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+  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_