{"url":"/dataset/dsc-10-tasks","name":"DSC (10 tasks)","full_name":"Task Incremental Document Sentiment Classification","description_markdown":"A set of 10 DSC datasets (reviews of 10 products) to produce sequences of tasks. The products are Sports, Toys, Tools, Video, Pet, Musical, Movies, Garden, Offices, and Kindle. 2500 positive and 2500 negative training reviews per task . The validation reviews are with 250 positive and 250 negative and the test reviews are with 250\r\npositive and 250 negative reviews. The detailed statistic on page https://github.com/ZixuanKe/PyContinual","description_withheld":null,"homepage":"https://github.com/ZixuanKe/PyContinual","introduced_date":"2021-12-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/continual-learning-with-knowledge-transfer","title":"Continual Learning with Knowledge Transfer for Sentiment Classification","first_author":"Zixuan Ke","url":null},"license":null,"modalities":[],"tasks":[{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Continual Learning","url":"/task/continual-learning","datasets_with_task":"/datasets/task/continual-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DSC (10 tasks)"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/continual-learning-on-dsc-10-tasks","task":"Continual Learning","dataset_variant":"DSC (10 tasks)","rows":6,"metrics":["F1 - macro"],"first_row_in_archive_order":{"model":"CTR","paper":"/paper/achieving-forgetting-prevention-and-knowledge-1","metrics":{"F1 - macro":"0.8875"},"code_links":[{"title":"zixuanke/pycontinual","url":"https://github.com/zixuanke/pycontinual"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/continual-learning-with-knowledge-transfer","title":"Continual Learning with Knowledge Transfer for Sentiment Classification","date":"2021-12-18","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/continual-learning-of-a-mixed-sequence-of-1","title":"Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks","date":"2021-12-18","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/adapting-bert-for-continual-learning-of-a-1","title":"Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks","date":"2021-12-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/achieving-forgetting-prevention-and-knowledge-1","title":"Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning","date":"2021-12-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/overcoming-catastrophic-forgetting-with-hard","title":"Overcoming catastrophic forgetting with hard attention to the task","date":"2018-01-04","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/overcoming-catastrophic-forgetting-in-neural","title":"Overcoming catastrophic forgetting in neural networks","date":"2016-12-02","rows_on_this_dataset":1,"code_links":29,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":22,"samples_ran":14,"samples_unverified":8,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":22,"samples_ran":14,"samples_unverified":8,"pointer_only_for_licence":4,"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."}