| dataset_info: | |
| features: | |
| - name: domain | |
| dtype: string | |
| - name: data | |
| dtype: string | |
| - name: type | |
| dtype: string | |
| - name: score | |
| dtype: string | |
| - name: correlation | |
| dtype: string | |
| - 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). |