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README.md

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----
-language:
-- tr
-size_categories:
-- 100K<n<1M
-source_datasets:
-- nli_tr
-task_categories:
-- text-classification
-task_ids:
-- semantic-similarity-scoring
-- text-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. 

nli_tr_for_simcse_hn.csv → emrecan--nli_tr_for_simcse/csv-train.parquet

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