The Multi-Genre Natural Language Inference (MultiNLI) dataset has 433K sentence pairs. Its size and mode of collection are modeled closely like SNLI.

Datasets: · nyu-mll. /. multi_nli. like 90. Follow. NYU Machine Learning for Language 47 · Dataset Card for Multi-Genre Natural Language Inference (MultiNLI).

The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information.

This dataset is a port of the official mnli dataset on the Hub. It contains the matched version. Note that the premise and hypothesis columns have been renamed ...

This dataset contains 433,000 sentence pairs annotated with textual entailment information, genre, and label. Follow these steps to utilize this dataset for ...

A large annotated corpus for learning natural language inference. Author={Samuel R. Bowman and Gabor Angeli and Christopher Potts and Christopher D. Manning},

6 дек. 2022 г. · The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information.

The MultiNLI and SNLI corpora are both distributed in JSON lines and tab separated value files. Both can be downloaded here. Models. We present three baseline ...

The current state-of-the-art on MultiNLI is Turing NLR v5 XXL 5.4B (fine-tuned). See a full comparison of 65 papers with code.

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