Mention counts below measure name matches in tracked papers, not benchmark quality or downloads. A family count can cover multiple datasets; it is not a separate count for each comparison row. Choose a task and version first, preserve evaluation splits, and follow the linked release terms. The site's content license does not replace the datasets' own terms.
NLP dataset comparison: tasks, access and usage conditions
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From Nov 2023 to Oct 2026, 87 archived papers mentioned Natural language inference (SNLI, MultiNLI) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2023 (6).
Natural language inference (SNLI, MultiNLI) was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
By journal category: AI (1).
Most of them appeared in Machine Learning (1).
From 2017 to 2026 (so far), Natural language inference (SNLI, MultiNLI) was mentioned in 94 papers in the tracked journals, most of them in AI (76), economics (7) and operations research (3).
28 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (4), Nanyang Technological University (4) and Hong Kong Polytechnic University (3).
The journals publishing most of them were Knowledge-Based Systems (10), Neural Networks (8) and IEEE Transactions on Pattern Analysis and Machine Intelligence (6).
The most-cited of them is “Unifying Large Language Models and Knowledge Graphs: A Roadmap” (IEEE Transactions on Knowledge and Data Engineering, 2024), with 1,381 citations.
Papers use Natural language inference (SNLI, MultiNLI) most often with Hugging Face Hub (29), Wikipedia (29) and Stanford Sentiment Treebank (27); it has 30 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Pierre V. Dantas, Waldir Sabino da Silva, Lucas Carvalho Cordeiro et al.
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use Natural language inference (SNLI, MultiNLI) most often with Hugging Face Hub (29), Wikipedia (29) and Stanford Sentiment Treebank (27); it has 30 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →
What papers use Natural language inference (SNLI, MultiNLI) together with (at least 3 papers; lift 1 = chance)
Jeff Mitchell, Jesus Martinez-del-Rincon, Niall McLaughlin
Queen's University Belfast
Cite this page
Scholar4AI. (2026). Natural language inference (SNLI, MultiNLI). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/natural-language-inference-snli-multinli
@misc{scholar4ai-datasets-natural-language-inference-snli-multinli,
author = {{Scholar4AI}},
title = {Natural language inference (SNLI, MultiNLI)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/natural-language-inference-snli-multinli}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).