The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information. The corpus is modeled on the SNLI corpus, but differs in that covers a range of genres of spoken and written text, and supports a distinctive cross-genre generalization evaluation. The corpus served as the basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen.
- URL: https://www.nyu.edu/projects/bowman/multinli/
DatasetBuilder
:tfds.text.multi_nli_mismatch.MultiNLIMismatch
multi_nli_mismatch
is configured with
tfds.text.multi_nli_mismatch.MultiNLIMismatchConfig
and has the following
configurations predefined (defaults to the first one):
plain_text
(v0.0.1
) (Size: 216.34 MiB
): Plain text
multi_nli_mismatch/plain_text
Plain text
Versions:
0.0.1
(default):
Statistics
Split | Examples |
---|---|
ALL | 402,702 |
TRAIN | 392,702 |
VALIDATION | 10,000 |
Features
FeaturesDict({
'hypothesis': Text(shape=(), dtype=tf.string),
'label': Text(shape=(), dtype=tf.string),
'premise': Text(shape=(), dtype=tf.string),
})
Homepage
Citation
@InProceedings{N18-1101,
author = "Williams, Adina
and Nangia, Nikita
and Bowman, Samuel",
title = "A Broad-Coverage Challenge Corpus for
Sentence Understanding through Inference",
booktitle = "Proceedings of the 2018 Conference of
the North American Chapter of the
Association for Computational Linguistics:
Human Language Technologies, Volume 1 (Long
Papers)",
year = "2018",
publisher = "Association for Computational Linguistics",
pages = "1112--1122",
location = "New Orleans, Louisiana",
url = "http://aclweb.org/anthology/N18-1101"
}