{"url":"/dataset/mpqa-opinion-corpus","name":"MPQA Opinion Corpus","full_name":"Multi-Perspective Question Answering","description_markdown":"The **MPQA Opinion Corpus** contains 535 news articles from a wide variety of news sources manually annotated for opinions and other private states (i.e., beliefs, emotions, sentiments, speculations, etc.).\r\n\r\nSource: [http://www.cs.cornell.edu/home/llee/omsa/omsa.pdf](http://www.cs.cornell.edu/home/llee/omsa/omsa.pdf)\r\nImage Source: [https://mpqa.cs.pitt.edu/](https://mpqa.cs.pitt.edu/)","description_withheld":null,"homepage":"https://mpqa.cs.pitt.edu/","introduced_date":"2005-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Annotating Expressions of Opinions and Emotions in Language","first_author":null,"url":"https://doi.org/10.1007/s10579-005-7880-9"},"license":{"name":"Custom (research-only)","url":"https://mpqa.cs.pitt.edu/corpora/mpqa_corpus/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Document Classification","url":"/task/document-classification","datasets_with_task":"/datasets/task/document-classification"},{"name":"Keyword Extraction","url":"/task/keyword-extraction","datasets_with_task":"/datasets/task/keyword-extraction"},{"name":"Opinion Mining","url":"/task/opinion-mining","datasets_with_task":"/datasets/task/opinion-mining"},{"name":"Fine-Grained Opinion Analysis","url":"/task/fine-grained-opinion-analysis","datasets_with_task":"/datasets/task/fine-grained-opinion-analysis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MPQA","MPQA Opinion Corpus"],"data_loaders":[],"num_papers_in_archive":313,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sentiment-analysis-on-mpqa","task":"Sentiment Analysis","dataset_variant":"MPQA","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RoBERTa-large 355M + Entailment as Few-shot Learner","paper":"/paper/entailment-as-few-shot-learner","metrics":{"Accuracy":"90.8"},"code_links":[{"title":"PaddlePaddle/PaddleNLP","url":"https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/few_shot/efl"},{"title":"sunyilgdx/prompts4keras","url":"https://github.com/sunyilgdx/prompts4keras"},{"title":"cactilab/hateguard","url":"https://github.com/cactilab/hateguard"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/fine-grained-opinion-analysis-on-mpqa","task":"Fine-Grained Opinion Analysis","dataset_variant":"MPQA","rows":3,"metrics":["Holder Binary F1","Target Binary F1","F1 (Opinion)","F1 (Opinion-Holder Pair)","F1 (Opinion-Role Pair)","F1 (Opinion-Target Pair)"],"first_row_in_archive_order":{"model":"SRL-SAWR","paper":"/paper/enhancing-opinion-role-labeling-with-semantic","metrics":{"Holder Binary F1":"84.91","Target Binary F1":"73.29"},"code_links":[{"title":"zhangmeishan/SRL4ORL","url":"https://github.com/zhangmeishan/SRL4ORL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/document-classification-on-mpqa","task":"Document Classification","dataset_variant":"MPQA","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MPAD-path","paper":"/paper/message-passing-attention-networks-for","metrics":{"Accuracy":"89.81"},"code_links":[{"title":"giannisnik/mpad","url":"https://github.com/giannisnik/mpad"},{"title":"Tixierae/gow_tools","url":"https://github.com/Tixierae/gow_tools"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/neural-transition-system-for-end-to-end","title":"Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling","date":"2021-10-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/entailment-as-few-shot-learner","title":"Entailment as Few-Shot Learner","date":"2021-04-29","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/message-passing-attention-networks-for","title":"Message Passing Attention Networks for Document Understanding","date":"2019-08-17","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/enhancing-opinion-role-labeling-with-semantic","title":"Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling","date":"2019-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/190600095","title":"The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning","date":"2019-05-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-la-carte-embedding-cheap-but-effective","title":"A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors","date":"2018-05-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/universal-sentence-encoder","title":"Universal Sentence Encoder","date":"2018-03-29","rows_on_this_dataset":1,"code_links":24,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":22,"samples_ran":1,"samples_unverified":21,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/srl4orl-improving-opinion-role-labeling-using","title":"SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling","date":"2017-11-02","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":28,"samples_ran":4,"samples_unverified":24,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}