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Table · dataset · 2022

pietrolesci/robust_nli

Listed in Hugging Face Datasets

Overview Original dataset is available in the original Github repo.

Description

This dataset is a collection of NLI benchmarks constructed as described in the paper An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference published at CoNLL 2020. Dataset curation No specific curation for this dataset.

Label encoding follows exactly what is reported in the paper by the authors. Also, from the paper: all the following datasets are collected based… See the full description on the dataset page: huggingface.co/datasets/pietrolesci/robust_nli.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
tabular · text
Inferred from text
Natural language processing 79%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetspietrolesci/robust_nli15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:field:460208enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (79%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0