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  - text-scoring
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  - natural-language-inference
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  - semantic-similarity-scoring
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  - text-scoring
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  - natural-language-inference
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  - semantic-similarity-scoring
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+ ---
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+ # Dataset Card for ASSIN 2 (ADA)
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+ ### Dataset Summary
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+ The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.
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+ The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese,
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+ annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment
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+ classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same
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+ annotation. All data in the original dataset were manually annotated.
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+ This dataset extends the original ASSIN2 adding the `cosine_similarity` column calculated using OpenAI's `text-embedding-ada-002`
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+ for research and benchmarking purposes, as it is currently considered one of the best multilingual models for this task.
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+ ### Languages
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+ The language supported is Portuguese.
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+ ## Dataset Structure
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+ ### Data Fields
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+ - `premise`: a `string` feature.
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+ - `hypothesis`: a `string` feature.
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+ - `relatedness_score`: a `float32` feature.
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+ - `entailment_judgment`: a classification label, with possible values including `NONE`, `ENTAILMENT`.
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+ - `ada_cosine_similarity`: the similarity calculated using OpenAI ada v2 embeddings
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+ ### Data Splits
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+ The data is split into train, validation and test set. The split sizes are as follow:
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+ | Train | Val | Test |
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+ | ------ | ----- | ---- |
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+ | 6500 | 500 | 2448 |