create readme

README.md

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+---
+languages:
+- tr
+size_categories:
+- 100K<n<1M
+source_datasets:
+- nli_tr
+task_categories:
+- text-scoring
+task_ids:
+- semantic-similarity-scoring
+---
+# NLI-TR for Supervised SimCSE
+
+This dataset is a modified version of [NLI-TR](https://huggingface.co/datasets/nli_tr) dataset. Its intended use is to train Supervised [SimCSE](https://github.com/princeton-nlp/SimCSE) models for sentence-embeddings. Steps followed to produce this dataset are listed below:
+1. Merge train split of snli_tr and multinli_tr subsets.
+2. Find every premise that has an entailment hypothesis **and** a contradiction hypothesis.
+3. Write found triplets into sent0 (premise), sent1 (entailment hypothesis), hard_neg (contradiction hypothesis) format.