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---
dataset_info:
features:
- name: claim
dtype: string
- name: evidence
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 1703425
num_examples: 971
- name: valid
num_bytes: 199433
num_examples: 120
- name: test
num_bytes: 218204
num_examples: 122
download_size: 905297
dataset_size: 2121062
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
language:
- sr
tags:
- Textual Entailment
- NLI
---
# Dataset Card for srbNLI
## Dataset Details
### Dataset Description
**English**:
The srbNLI dataset is an automatically translated version of the SciFact dataset (VerifAI version) into Serbian using the Google Translate API. It is designed for Natural Language Inference (NLI) tasks, where the goal is to predict the relationship between a premise and a hypothesis. The relationship could be classified as one of 3 labels - support, contradict, or no evidence. This dataset enables research in cross-lingual NLI tasks for Serbian.
**Serbian**:
srbNLI skup podataka predstavlja automatski prevedenu verziju SciFact skupa podataka (VerifAI verzija) na srpski jezik koristeći Google Translate API. Namenjen je zadacima iz oblasti Inferencije u prirodnom jeziku (NLI), gde je cilj predvideti odnos između premise i hipoteze. Ovaj odnos se može klasifikovati u jedan od tri označena: podrška, kontradikcija ili nema dokaza. Ovaj skup podataka omogućava istraživanja u oblasti međujezičke NLI zadatke na srpskom jeziku.
## Uses
### Direct Use
The dataset is intended for use in Natural Language Inference (NLI) tasks, specifically for Serbian language models. It can be used to train and evaluate NLI models on Serbian texts and in cross-lingual NLI tasks.
### Out-of-Scope Use
This dataset is not suitable for tasks outside of NLI, such as machine translation or sentiment analysis, due to its specific design for inference tasks.
## Dataset Structure
- **claim**: The premise text in Serbian.
- **evidence**: The hypothesis text in Serbian.
- **label**: The relationship between the premise and the hypothesis (0 = support, 1 = contradict, 2 = no evidence).
## Dataset Creation
### Curation Rationale
The srbNLI dataset was created to enable research in NLI tasks for the Serbian language, leveraging the SciFact dataset for its content and Google Translate API for translation.
### Source Data
The source data is the SciFact dataset (VerifAI version), which contains English claims and corresponding evidence sentences. These were translated into Serbian using the Google Translate API.
## Bias, Risks, and Limitations
As the dataset was created through automatic translation, it may contain errors or inconsistencies arising from the translation process. The quality of the translations may vary, and the dataset may contain biases inherent in the Google Translate API. Researchers should be cautious when using it for tasks that require high-quality translations. |