Datasets:

emrecan
/

nli_tr_for_simcse

Tasks:

Text Classification

Modalities:

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Sub-tasks:

semantic-similarity-scoring

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emrecan commited on Jan 25, 2023

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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:
 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.

 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.
+See this [Colab Notebook](https://colab.research.google.com/drive/1Ysq1SpFOa7n1X79x2HxyWjfKzuR_gDQV?usp=sharing) for training and evaluation on Turkish sentences.