---
dataset_info:
  features:
  - name: domain
    dtype: string
  - name: data
    dtype: string
  - name: type
    dtype: string
  - name: score
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  - name: correlation
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  - name: text_1
    dtype: string
  - name: text_2
    dtype: string
  splits:
  - name: test
    num_bytes: 253093
    num_examples: 1379
  - name: validation
    num_bytes: 305450
    num_examples: 1500
  download_size: 268625
  dataset_size: 558543
language:
- id
---
# Machine Translated Indonesian STS-B

We believe that a synthetic baseline is better than no baseline. Therefore, we followed approached done in the [Thai Sentence Vector Benchmark](https://github.com/mrpeerat/Thai-Sentence-Vector-Benchmark) project and translated the [STS-B](https://github.com/facebookresearch/SentEval) test set to Indonesian via Google Translate API. This dataset will be used to evaluate our model's Spearman correlation score on the translated test set.

You can find the latest STS results that we achieved on this dataset in [Indonesian Sentence Embeddings](https://github.com/LazarusNLP/indo-sentence-embeddings).