Datasets:
language:
- pt
source_datasets:
- assin2
task_categories:
- text-classification
task_ids:
- text-scoring
- natural-language-inference
- semantic-similarity-scoring
Dataset Card for ASSIN 2 (ADA)
Dataset Summary
The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1. The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese, annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same annotation. All data in the original dataset were manually annotated.
This dataset extends the original ASSIN2 adding the cosine_similarity
column calculated using OpenAI's text-embedding-ada-002
for research and benchmarking purposes, as it is currently considered one of the best multilingual models for this task.
Languages
The language supported is Portuguese.
Dataset Structure
Data Fields
premise
: astring
feature.hypothesis
: astring
feature.relatedness_score
: afloat32
feature.entailment_judgment
: a classification label, with possible values includingNONE
,ENTAILMENT
.ada_cosine_similarity
: the similarity calculated using OpenAI ada v2 embeddings
Data Splits
The data is split into train, validation and test set. The split sizes are as follow:
Train | Val | Test |
---|---|---|
6500 | 500 | 2448 |
Citation Information
@inproceedings{real2020assin,
title={The assin 2 shared task: a quick overview},
author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo},
booktitle={International Conference on Computational Processing of the Portuguese Language},
pages={406--412},
year={2020},
organization={Springer}
}