xnli
Datasets
All datasets matching “xnli”xnli
Dataset Card for "xnli"
Dataset Summary
XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information… See the full description on the dataset page: https://huggingface.co/datasets/facebook/xnli.xnli
XNLI
An MTEB dataset
Massive Text Embedding Benchmark
Task category
t2t
Domains
Non-fiction, Fiction, Government, Written
Reference
https://aclanthology.org/D18-1269/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["XNLI"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more about how to run models on mteb task… See the full description on the dataset page: https://huggingface.co/datasets/mteb/xnli.xnli-encoded-gstxnli-eu
Dataset Card for XNLIeu
XNLIeu is an extension of XNLI translated from English to Basque. It has been designed as a cross-lingual dataset for the Natural Language Inference task, a text-classification task that consists on classifying pairs of sentences, a premise and a hypothesis, according to their semantic relation out of three possible labels: entailment, contradiction and neutral.
Dataset Details
Dataset Description
XNLI is a popular Natural… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/xnli-eu.xnli2.0-multi-pair
Multilingual version of XNLI 2.0
Includes a subset of thirteen languages from the second machine translated version of NLI.
Cite
@inproceedings{upadhyay2023xnli,
title={XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding (XLU)},
author={Upadhyay, Ankit Kumar and Upadhya, Harsit Kumar},
booktitle={2023 IEEE 8th International Conference for Convergence in Technology (I2CT)},
pages={1--6}… See the full description on the dataset page: https://huggingface.co/datasets/mteb/xnli2.0-multi-pair.xnli_mtXNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).