---
title: "Text and NLP benchmarks datasets"
description: "Datasets in the category “Text and NLP benchmarks” were mentioned in 19 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #21 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/text-and-nlp-benchmarks
markdown_url: https://scholar4ai.com/datasets/text-and-nlp-benchmarks.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Text and NLP benchmarks” were mentioned in 19 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #21 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:32:25+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Text and NLP benchmarks

Corpora and benchmarks for language understanding, question answering and text classification.

- 3 papers in the last 7 days
- 8 of its 9 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Text and NLP benchmarks” were mentioned in 19 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #21 of the 58 data categories mentioned.
- The most-mentioned were IMDb (6), GLUE / SuperGLUE (4), Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) (4), Natural language inference (SNLI, MultiNLI) (3) and CoNLL (2).
- By journal category: AI (15), Management (2), Finance (1) and Economics (1).
- Most of them appeared in Artificial Intelligence Review (3), Pattern Recognition (2) and Knowledge and Information Systems (2).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| IMDb | 6 | 1 | IMDb |
| GLUE / SuperGLUE | 4 | 1 | GLUE benchmark, General Language Understanding Evaluation, SuperGLUE, GLUE |
| Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) | 4 | 0 | MS MARCO, MSMARCO, Natural Questions dataset, Natural Questions benchmark, HotpotQA |
| Natural language inference (SNLI, MultiNLI) | 3 | 1 | SNLI, MultiNLI, MNLI |
| CoNLL | 2 | 0 | CoNLL |
| Pre-training corpora (Common Crawl, C4, The Pile) | 2 | 0 | Common Crawl, CommonCrawl, C4 corpus, BookCorpus, RefinedWeb |
| Stanford Sentiment Treebank | 2 | 0 | Stanford Sentiment Treebank, SST-2, SST-5 |
| AG News / 20 Newsgroups | 1 | 0 | AG News, AG's News, AGNews, 20 Newsgroups, 20Newsgroups |
| SQuAD | 0 | 0 | Stanford Question Answering Dataset, SQuAD |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-22 | [Beyond the survey: a systematic empirical study of detection and association in visual MOT](https://doi.org/10.1007/s10462-026-11713-4) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Linh Van Ma, Juhua Hu, Wei Cheng et al. | Gwangju Institute of Science and Technology; University of Washington Tacoma | GLUE / SuperGLUE |
| 2026-10-21 | [Quantum heterogeneous graph attention network](https://doi.org/10.1016/j.patcog.2026.115127) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Wenjie Liu, Bohan Du, Qingshan Wu | Nanjing University of Information Science and Technology | IMDb |
| 2026-10-20 | [Weighted UnLearning from Experience for Improved Spurious Correlation Robustness](https://doi.org/10.1007/s10994-026-07164-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Jeff Mitchell, Jesus; id_orcid 0000-0002-9574-4138 Martinez-del-Rincon, Niall McLaughlin | Queen's University Belfast | Natural language inference (SNLI, MultiNLI) |
| 2026-10-16 | [Evaluating LLMs for named entity recognition: a cost-benefit analysis in the legal domain](https://doi.org/10.1007/s10115-026-02886-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Shefali Singhal, Eoin O’Connell, Niall McCarroll et al. | University of Ulster; Ulster University, Derry-Londonderry Campus; Ulster Hospital | CoNLL |
| 2026-10-14 | [$$\\Delta $$Semantics: a neuro-symbolic framework for dynamic ontological reasoning with proof-carrying machine learning](https://doi.org/10.1007/s10115-026-02897-w) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Rahul Kumar Singh, Ashok Kumar, Rajat Kumar | Noida International University; Teerthanker Mahaveer University; Galgotias University | Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) |
| 2026-10-11 | [Enhanced DNMF-graph integrated multilevel semantic factorization for contextual named entity recognition](https://doi.org/10.1016/j.neunet.2026.109747) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Pallabi Kakati, Devendra Dandotiya | Presidency University; Presidency University | CoNLL |
| 2026-10-11 | [LiteSent: a lightweight adaptive multi-scale framework for social media and review-based sentiment classification](https://doi.org/10.1016/j.knosys.2026.117207) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Dharmendra Dangi, Dheeraj Kumar Dixit, Amit Bhagat | Indian Institute of Information Technology Bhopal; Madhav Institute of Technology & Science; Maulana Azad National Institute of Technology | IMDb |
| 2026-10-08 | [HAPO: Hierarchical affinity aware propagation for unsupervised graph anomaly detection](https://doi.org/10.1016/j.patcog.2026.115062) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Huahua Ding, Chaofan Dai, Haohao Zhou et al. | National University of Defense Technology | IMDb |
| 2026-10-06 | [Chronologically consistent large language models](https://doi.org/10.1016/j.jfineco.2026.104374) | [Journal of Financial Economics](https://scholar4ai.com/journals/journal-of-financial-economics.md) | Songrun He, Linying Lv, Asaf Manela et al. | Chinese University of Hong Kong; Washington University in St. Louis; University of Iowa | GLUE / SuperGLUE, Stanford Sentiment Treebank, Natural language inference (SNLI, MultiNLI), Pre-training corpora (Common Crawl, C4, The Pile) |
| 2026-10-06 | [Rising rested bandits: Lower bounds and efficient algorithms](https://doi.org/10.1016/j.artint.2026.104638) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | Marco Fiandri, Alberto Maria Metelli, Francesco Trovò |  | IMDb |
| 2026-10-01 | [ARION: Attention-Optimized Transformer Inference on Encrypted Data](https://doi.org/10.1016/j.eswa.2026.134756) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Linhan Yang, Jingwei Chen, Wangchen Dai et al. | Sun Yat-sen University; Chongqing Institute of Green and Intelligent Technology; University of Chinese Academy of Sciences; … | Stanford Sentiment Treebank |
| 2026-10-01 | [Ontology-guided neuro-symbolic GraphRAG for grounded query answering](https://doi.org/10.1007/s00521-026-12495-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Domenico Benfenati, Antonio M. Rinaldi | University of Naples Federico II | Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) |
| 2026-10-01 | [RDD: Improving Structure from Motion with a Robust Feature Detector and Descriptor](https://doi.org/10.1007/s11263-026-03061-1) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | G Chen, Tianwen Fu, Haiwei Chen et al. | University of Southern California; Creative Technologies (United States) | GLUE / SuperGLUE |
| 2026-10-01 | [How sustainability affects financial brand value: A decision matrix for CMOs and CFOs](https://doi.org/10.1016/j.emj.2026.09.004) | [European Management Journal](https://scholar4ai.com/journals/european-management-journal.md) | Gabriela Salinas, Carmen Abril | Universidad Pontificia Comillas; Universidad Complutense de Madrid | AG News / 20 Newsgroups |
| 2026-10-01 | [A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issues](https://doi.org/10.1016/j.ijinfomgt.2026.103138) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi | Islamic Azad University Semnan | GLUE / SuperGLUE, IMDb, Natural language inference (SNLI, MultiNLI) |
| 2026-09-30 | [Towards optimized forward–forward training for neural networks](https://doi.org/10.1007/s10462-026-11668-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yomna Abdulgawad Elnady, Amany Mahmoud Sarhan, Mohammad Ali Eita | Tanta University; ElSewedy University of Technology | IMDb |
| 2026-09-30 | [U-RAG: Utility-aware Retrieval-Augmented Generation via marginal gain modeling](https://doi.org/10.1016/j.ipm.2026.105186) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Yao Guohui, Ying Tang, Haiming Wu et al. | Beijing Institute of Technology; The Open University; Beijing Information Science & Technology University | Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) |
| 2026-09-28 | [Mapping the RAG landscape: a four-axis taxonomy of efficiency, defense, interactivity, and reasoning](https://doi.org/10.1007/s10462-026-11715-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Meghana Sunil, Vaddepalli Shravya, Shravan Venkatraman et al. | Vellore Institute of Technology University; Mohamed bin Zayed University of Artificial Intelligence | Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) |
| 2026-09-27 | [The fantasy of digital immateriality: AI, ecologically unequal exchange, and appropriation of lived human time](https://doi.org/10.1016/j.ecolecon.2026.109251) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | Maximilian Pieper, Alf Hornborg | University of Augsburg; Lund University | Pre-training corpora (Common Crawl, C4, The Pile) |

## Cite this page

Scholar4AI. (2026). Text and NLP benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/text-and-nlp-benchmarks

```bibtex
@misc{scholar4ai-datasets-text-and-nlp-benchmarks,
  author = {{Scholar4AI}},
  title = {Text and NLP benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/text-and-nlp-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).