Datasets:

Samsoup
/

sickr-sts

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