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--- |
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language: |
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- tr |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- nli_tr |
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task_categories: |
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- text-classification |
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task_ids: |
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- semantic-similarity-scoring |
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- text-scoring |
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--- |
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# NLI-TR for Supervised SimCSE |
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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: |
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1. Merge train split of snli_tr and multinli_tr subsets. |
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2. Find every premise that has an entailment hypothesis **and** a contradiction hypothesis. |
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3. Write found triplets into sent0 (premise), sent1 (entailment hypothesis), hard_neg (contradiction hypothesis) format. |
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See this [Colab Notebook](https://colab.research.google.com/drive/1Ysq1SpFOa7n1X79x2HxyWjfKzuR_gDQV?usp=sharing) for training and evaluation on Turkish sentences. |
