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README.md

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+---
+language:
+- id
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+task_categories:
+- feature-extraction
+- sentence-similarity
+tags:
+- sentence-transformers
+pretty_name: stsb-indo-edu
+dataset_info:
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: score
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 914517
+    num_examples: 6198
+  - name: validation
+    num_bytes: 246862
+    num_examples: 1536
+  - name: test
+    num_bytes: 192835
+    num_examples: 1379
+  download_size: 720899
+  dataset_size: 1141149
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.*
+  - split: validation
+    path: data/validation.*
+  - split: test
+    path: data/test.*
+---
+
+
+
+# Dataset Card for STSB
+
+This dataset is sourced from the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) repository. 
+The content has been translated using DeepL machine translation.
+
+The Semantic Textual Similarity Benchmark (Cer et al., 2017) is a collection of sentence pairs drawn from news headlines, video and image captions, and natural language inference data.
+Each pair is human-annotated with a similarity score from 1 to 5. However, for this variant, the similarity scores are normalized to between 0 and 1. 
+
+## Dataset Details
+
+This dataset improved with new dataset focus on Indonesian Education related from official government website, indonesian news article:
+
+```csv
+* Ministry of Education, Culture, Research, and Technology (Kemendikbudristek): https://www.kemdikbud.go.id
+* National Research and Innovation Agency (BRIN): https://www.brin.go.id
+* Lembaga Tes Masuk Perguruan Tinggi (LTMPT): https://www.ltmpt.ac.id
+* Indonesia National Qualifications Framework (KKNI): https://kkni.kemdikbud.go.id
+* Indonesian Accreditation Board for Higher Education (BAN-PT): https://www.banpt.or.id
+* Indonesia Endowment Fund for Education (LPDP): https://www.lpdp.kemenkeu.go.id
+* Beasiswa Unggulan Kemendikbudristek: https://beasiswaunggulan.kemdikbud.go.id
+* Indonesian International Student Mobility Awards (IISMA): https://iisma.kemdikbud.go.id
+* Pangkalan Data Pendidikan Tinggi (PDDikti): https://pddikti.kemdikbud.go.id
+* Sistem Seleksi Masuk Perguruan Tinggi Negeri (SSCASN & SNPMB): https://snpmb.bppp.kemdikbud.go.id
+```
+
+## Dataset specification
+
+* Columns: "sentence1", "sentence2", "score"
+* Column types: `str`, `str`, `float`
+* Examples:
+    ```python
+    {
+      'sentence1': 'Penggunaan papan tulis digital mulai diterapkan di beberapa SD.',
+      'sentence2': 'Media belajar modern ini memudahkan interaksi siswa dan guru.',
+      'score': 0.77,
+    }
+    ```
+* Collection strategy: Reading the sentences and score from STSB dataset and dividing the score by 5.
+* Deduplified: No

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