mlsanityData to 7 Oct 2026

The Multilingual Amazon Reviews Corpus

arXiv 2010.02573 ↗First posted 6 Oct 2020cs.CL cs.IR cs.LGcited by 142

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Abstract (arXiv)

We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, Japanese, German, French, Spanish, and Chinese, which were collected between 2015 and 2019. Each record in the dataset contains the review text, the review title, the star rating, an anonymized reviewer ID, an anonymized product ID, and the coarse-grained product category (e.g., 'books', 'appliances', etc.) The corpus is balanced across the 5 possible star ratings, so each rating constitutes 20% of the reviews in each language. For each language, there are 200,000, 5,000, and 5,000 reviews in the training, development, and test sets, respectively. We report baseline results for supervised text classification and zero-shot cross-lingual transfer learning by fine-tuning a multilingual BERT model on reviews data. We propose the use of mean absolute error (MAE) instead of classification accuracy for this task, since MAE accounts for the ordinal nature of the ratings.

Key facts. Cited by 142 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2020.

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Citing papers per year: 2021: 5; 2022: 28; 2023: 43; 2024: 38; 2025: 20; 2026: 8.

142 papers.

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  1. 2022The Vendi Score: A Diversity Evaluation Metric for Machine Learningcited by 299
  2. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 262
  3. 2026Meta-Harness: End-to-End Optimization of Model Harnessescited by 248
  4. 2024Generative Representational Instruction Tuningcited by 227
  5. 2022Relative representations enable zero-shot latent space communicationcited by 175
  6. 2022Efficient Few-Shot Learning Without Promptscited by 135
  7. 2022Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languagescited by 99
  8. 2024A Survey on Multilingual Large Language Models: Corpora, Alignment, and Biascited by 82
  9. 2023Evaluating Large Language Models on Controlled Generation Taskscited by 73
  10. 2023Multilingual LLMs are Better Cross-lingual In-context Learners with Alignmentcited by 71
  11. 2024The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalitiescited by 69
  12. 2023BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfercited by 68
38 more
  1. 2024LLMs Are Few-Shot In-Context Low-Resource Language Learnerscited by 68
  2. 2021FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learningcited by 67
  3. 2024Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontierscited by 49
  4. 2023Revisiting Machine Translation for Cross-lingual Classificationcited by 40
  5. 2023Comparing Biases and the Impact of Multilingual Training across Multiple Languagescited by 36
  6. 2024Unveiling the Generalization Power of Fine-Tuned Large Language Modelscited by 35
  7. 2024Technical Report on the Pangram AI-Generated Text Classifiercited by 32
  8. 2023Zero-shot cross-lingual transfer language selection using linguistic similaritycited by 28
  9. 2025EuroBERT: Scaling Multilingual Encoders for European Languagescited by 28
  10. 2022Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Promptcited by 25
  11. 2022Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resourcescited by 25
  12. 2024Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neuronscited by 23
  13. 2021Cross-Market Product Recommendationcited by 22
  14. 2021MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learningcited by 21
  15. 2023How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanesecited by 20
  16. 2023Label Supervised LLaMA Finetuningcited by 20
  17. 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
  18. 2024Data Contamination Report from the 2024 CONDA Shared Taskcited by 19
  19. 2022On the Calibration of Massively Multilingual Language Modelscited by 18
  20. 2022Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languagescited by 17
  21. 2022Few-Shot Learning with Siamese Networks and Label Tuningcited by 15
  22. 2022Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systemscited by 15
  23. 2023M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Modelscited by 15
  24. 2023How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuningcited by 14
  25. 2023Prompting with Pseudo-Code Instructionscited by 13
  26. 2023Examining Modularity in Multilingual LMs via Language-Specialized Subnetworkscited by 13
  27. 2024RakutenAI-7B: Extending Large Language Models for Japanesecited by 13
  28. 2022METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweetscited by 12
  29. 2024Evolving Knowledge Distillation with Large Language Models and Active Learningcited by 12
  30. 2022Active Few-Shot Learning with FASLcited by 11
  31. 2024Data Generation Using Large Language Models for Text Classification: An Empirical Case Studycited by 11
  32. 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmarkcited by 10
  33. 2024mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humanscited by 10
  34. 2025Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddingscited by 10
  35. 2021pysentimiento: A Python Toolkit for Opinion Mining and Social NLP taskscited by 9
  36. 2022Auxo: Efficient Federated Learning via Scalable Client Clusteringcited by 8
  37. 2023A Comprehensive Analysis of Adapter Efficiencycited by 8
  38. 2023Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languagescited by 8

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